This job post is closed and the position is probably filled. Please do not apply. Work for Komoot and want to re-open this job? Use the edit link in the email when you posted the job!
# About Komoot\nKomoot is an app that lets you find, plan, and share adventures. Driven by a desire to explore, and powered by the outdoor community’s recommendations, it’s Komoot’s mission to inspire great adventures making them accessible to all. And we’re good at what we do: Google and Apple have listed us as one of their Apps of the Year numerous times!\n\nToday, with over 23 million users and 100,000 five-star reviews, Komoot is well on its way to becoming the most popular cycling and hiking app for people who love adventures worldwide.\n\n**Join our fully remote team and change the way people explore!**\n\n\n**About the role**\nWe are now experiencing an accelerated growth and we're looking for an experienced Data Scientist dedicated to improving the product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 23 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot's success.\n\n**Ready for your next adventure?**\n\n\n**What you will do**\n- Work on a wide range of data science projects: Examples include improving the ranking and composition of our feed, bringing our follower recommendations to the next level and helping us keep users engaged.\n- Turn your ideas into data products ready for our production systems.\n- Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers).\n- Work with the Python Data Science Stack and a modern AWS infrastructure.\n- Identify how to best leverage our data to improve our platform.Discuss product improvements, technical possibilities and road maps.\n\n\n**Why you will love it**\n- You will deal with a diverse set of data (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...).\n- You will go beyond prototyping and ship your code to production\n- You will contribute to a product with a vision to inspire more people to go outdoors.\n- You will work in a fast-paced startup with strongly motivated and talented co-workers.\n- You will enjoy the freedom to organize yourself the way you want .\n- We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, or anywhere else that lies in any time zone situated between UTC-1 and UTC+3.\n- You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides.\n\n\n**You will be successful in this position if you**\n- Have a passion for finding pragmatic and smart solutions to complex problems\n- Have a solid understanding of math and statistics\n- Have 3+ years of industry experience in data science\n- Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n- Bonus: TensorFlow, Keras or PyTorch\n- Know SQL\n- Love to write clean, maintainable and tested Python code\n- Have experience productionising your data science solutions\n- Have strong communication and team skills\n- Have a hands-on attitude and are highly self-driven\n- Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n- Bonus: Have cloud experience (e.g. with AWS)\n- Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n**Curious to find out more about our recruitment process?**\n- Find out more info here: https://www.komoot.com/jobs-process\n- At komoot we want to make great adventures accessible to everyone. We support diversity and inclusivity within the outdoors and welcome all prospective applicants.\n- We have a rolling recruitment process. If this role is online it means it’s still open. We’re accepting applications and actively looking for the perfect candidate. Is it you?\n\n\n**Perks**\n- Dedicated time and budget to spend on classes, events, conferences, boot camps, or books for your curiosity and personal development, you decide!\n- Blinkist subscription and discounts with outdoor brands like Patagonia and Wahoo\n- Flexible working hours and locations\n- 3 all- expenses paid Company gatherings per year\n- The latest devices and equipment\n- And more! \n\nPlease mention the words **INFANT GENIUS SLIM** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNTY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nEurope, Africa
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
## 🚀About [Ampcontrol](https://www.ampcontrol.io/)\n\nWe're Ampcontrol, building AI-powered software for electric vehicle (EV) charging.\n\nWe are a venture backed remote team of engineers and energy experts based in Europe and the U.S building the new way of EV charging. Our primary goals are to enable companies to provide higher capacity charging on existing infrastructure as well as optimization of fleet charging logistics.\n\n([link to website](https://www.ampcontrol.io/))\n\n## 🌎 Our Mission\n\nWe're on a mission to help the automotive industry transition to 100% electric vehicles.\n\nWe believe in a future of self-managing, reliable, and affordable charging for companies, fleet operators, and humans on our planet.\n\n## 💻 The Role\n\n- You'll be responsible for building, maintaining and improving our optimization algorithms, models, and simulation tools\n- You can help us select optimization methods from exact methods, metaheuristics, learning models and pro-actively look for possibilities to combine them\n- Develop our algorithms in Python, with an eye on performance and scalability\n- Work with software engineers to build a stable and powerful applications for real-time optimization\n- Monitor and evaluate the performance of algorithms\n- Write clean and easily maintainable code for our optimization engine\n\n## ⭐ You have\n\n- Professional experience in algorithms and optimization problems with time-series data\n- Passion for mathematics and statistics\n- A pro-active approach to work – brining us problems and ideas for solutions in the same time\n- Experience with deploying algorithms in production systems\n- Experience in at least a couple of data science tools such as NumPy, Pandas, Gekko, and similar\n- A good understanding in energy technologies and markets is a plus\n- Fluency in English for verbal and written communication is required\n- Motivation to work on electric vehicles and sustainability\n\n \n\nPlease mention the words **CASTLE MEAN AROUND** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNTY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Salary and compensation\n
$50,000 — $120,000/year\n
\n\n#Location\nWorldwide
# How do you apply?\n\nJust message and resume to [email protected].\n\nSend it along with your github account if you have one or a piece of code and if you want to stand out - answer one of the following questions.\n\n- What surprising thing have you learned in the last few months?\n- What is a project you're most proud of and why?\n- What is your favorite Data Science book or online resource?
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
This job post is closed and the position is probably filled. Please do not apply. Work for IHS Markit and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nYour Role\nYou will be responsible for research and development of intelligence behind document structure understanding solutions as part of IHS Markit products. Your role is needed to design and implement intelligent content understanding pipelines from raw document to a structured knowledge.\n\nYour duties will include:\n\n\n* Technically lead the team of data scientists and ML engineers to develop production ready components based on recent SOTA approaches for CV and NLP\n\n* Hands-on researching, prototyping and building content understanding pipelines and working models as their components, including state of art neural architectures in combined Computer Vision and Natural Language Processing domains – data augmentation, model selection, pre-training, optimization, etc.\n\n* Converting business problems to data science tasks collaborating with Product and Project managers\n\n* Defining and/or influencing the strategy of research-intensive projects, including goal metrics, development process, toolsets and communications for optimal progress\n\n* Hunting for quality datasets, including driving the development of datasets from scratch\n\n* Learning and sharing new things around ML/DL for CV and NLP to keep the AI team on the cutting edge\n\n\n\n\nAbout You\nYou are a data scientist/deep learning engineer experienced in building the working intelligent solutions related to analysis of unstructured content, who is motivated by complex and fuzzy challenges. Your required qualifications and experience include:\n\n\n* Degree in data science, math & computer science, statistics or related field\n\n* 4+ years of professional experience in data science and deep learning with application to Computer Vision and/or Natural Language Processing\n\n* Soft skills of a technical leader for the team (communication, engagement, patience, motivation, integrity)\n\n* Strong programming skills in Python with engineering\n\n* Strong practical experience in building of own DL models with TensorFlow, Keras and/or PyTorch, etc.\n\n* Developed skills in algorithms and data structures\n\n* Solid understanding of statistics and math behind deep learning\n\n* English language (B1+)\n\n\n\n\nThe following will hugely increase our interest:\n\n\n* Application of Computer Vision to Document Understanding (OCR, object detection, text embedding with custom pre-training or other)\n\n* Strong experience with data analysis tools\n\n* PhD degree in related field\n\n* Publications in related domain\n\n* Linux user experience\n\n\n\n\nWhat we offer\n\nOpen and Collaborative Environment:\n\n\n* Own product development based on science and technology\n\n* Personal growth and career development supported on corporate level\n\n* Support of self-study and research\n\n* Development of own deep learning architectures\n\n* Getting custom datasets from the team of professional annotators\n\n* Training on powerful private GPU cloud\n\n* Research and application of state-of-art models\n\n* Development of own unique AI-driven products that work out-of-the-box and loved by world top companies\n\n* Great colleagues and open atmosphere at workplace\n\n* Knowledge and discoveries sharing inside and outside the team\n\n* Collaboration with a great team of ML professionals\n\n* Participation in international workshops and conferences\n\n* Continuous education with invited tutors and paid online programs\n\n\n\n\nEmployee benefits\n\n\n* English language classes\n\n* Employee stock options plans\n\n* Vacation time increase with tenure\n\n* Extended medical insurance for employees and their families\n\n* Personal accident coverage\n\n* Employee assistance program\n\n* Reimbursement of sports activities\n\n* Corporate and social events\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Executive, Education, Math, Python, Medical and Engineer jobs that are similar:\n\n
$80,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
**Remote (Europe) | Full- time & Permanent role | Outdoor navigation app | 15+M users | 70 employees + 40 freelances | squad structure**\n\n**Senior Backend Developer/ Data Scientist @ komoot (Kotlin/Java/Scala) & Python**\n@ komoot We are building the best outdoor navigation planner and the biggest outdoor community and simply inspire people to explore more of the outdoors.\n\n**15million users | 100k 5* reviews**\n\nWe are now searching for a** Senior Backend Engineer/ Data Scientist** who would like to take their skills to the next level, love to find simple and smart solutions to complex problems and focuses on delivering impact.\n\n Komoot possesses a unique dataset of **user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback**. To get the biggest value from this raw data, we need your excellent software and analytical skills. \n The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). \n You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. \n We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success\n\n**What you will do**\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n* Discuss product improvements, technical possibilities and road maps\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n* Turn prototypes into resilient and scalable REST APIs and background workers\n* Deploy and monitor your code in our AWS Cloud\n\n**You will be successful in this position if you**\n* Have a passion for finding pragmatic and smart solutions to complex problems\n* Have 3+ years of professional experience in backend development in the cloud\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n* Have 2+ years of professional experience in Python\n* Know SQL and NoSQL\n* Have a solid understanding of math and statistics\n* Have a solid understanding of data science fundamentals\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n* Bonus: Infrastructure as Code\n* Bonus: Deployment, CI and monitoring\n* Have strong communication and team skills\n* Have a hands-on attitude and are highly self-driven\n\nFor more information you can click the apply link which will direct you to our website.\nTo find out more about how we recruit people/ salary etc you can follow this link: https://www.komoot.com/jobs-process\n \n\nPlease mention the words **TWENTY HAVE PLACE** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xNTY=). This is a feature to avoid spam applicants. Companies can search these words to find applicants that read this and see they're human.\n\n \n\n#Location\nEurope
# How do you apply?\n\nIf this sounds like you we would love to hear from you.\nPlease follow the apply link and send us:\n\n* Your CV\n* A write-up explaining who you are and why you are interested in working at komoot\n* Examples of your work (e.g. GitHub, PDFs, Slideshare, etc.)\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, or your OpenStreetMap profile if you have one\n
👉 Please reference you found the job on Remote OK, this helps us get more companies to post here, thanks!
When applying for jobs, you should NEVER have to pay to apply. You should also NEVER have to pay to buy equipment which they then pay you back for later. Also never pay for trainings you have to do. Those are scams! NEVER PAY FOR ANYTHING! Posts that link to pages with "how to work online" are also scams. Don't use them or pay for them. Also always verify you're actually talking to the company in the job post and not an imposter. A good idea is to check the domain name for the site/email and see if it's the actual company's main domain name. Scams in remote work are rampant, be careful! Read more to avoid scams. When clicking on the button to apply above, you will leave Remote OK and go to the job application page for that company outside this site. Remote OK accepts no liability or responsibility as a consequence of any reliance upon information on there (external sites) or here.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times – and, with more than 12 million users and 100,000 five-star reviews – komoot is on its way to become one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore! To help us continue to grow, we ‘re looking for an experienced backend developer with knowledge in data science. Komoot possesses a unique dataset of user-generated content, ranging from GPS data from tours, uploaded photos, and tips, to implicit and explicit user feedback. To get the biggest value from this raw data, we need your excellent software and analytical skills. The challenges include automatic evaluation and classification of our user-generated content as well as innovative approaches to assembling them into consumable inspiration for users (e.g. auto-generated tour suggestions tailored to users’ sport and location). You’ll wrap up your algorithms into clean and scalable microservices in our modern cloud environment. We believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\n\n\n\n\n\nYour key responsibilities\n\n\n\n* You’ll be challenged with a wide range of tasks for which there are no standard solutions\n\n* You’ll have full ownership: from concept, prototypes, and building, to deploying and monitoring\n\n* You’ll deal with diverse datasets (location data, social network, user content (images, text), external data sources like OSM, product analytics, ...)\n\n* You’ll contribute to a product with a vision to inspire more people to go outdoors\n\n* You’ll work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You’ll enjoy the freedom to organize yourself the way you want\n\n* We let you work from wherever you want, be it a beach, the mountains, your house, a coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You’ll travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\n\n\n\nWhy you will love it\n\n\n\n* Work closely with our data scientists, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements (you can count on the support of experienced data scientists)\n\n* Turn prototypes into resilient and scalable REST APIs and background workers\n\n* Deploy and monitor your code in our AWS Cloud\n\n\n\n\n\n\n\nYou will be successful in this position if you\n\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have 3+ years of professional experience in backend development in the cloud\n\n* Have 2+ years of professional experience in Kotlin/Java/Scala\n\n* Have 2+ years of professional experience in Python\n\n* Know SQL and NoSQL\n\n* Have a solid understanding of math and statistics\n\n* Have a solid understanding of data science fundamentals\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn\n\n* Bonus: BigData experience (Spark, Presto, Hadoop)\n\n* Bonus: Infrastructure as Code\n\n* Bonus: Deployment, CI and monitoring\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n\n\n\n\n\n\nSounds like you?\n\n\nSend us the following\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Backend, Developer, Digital Nomad, English, Cloud, Math, Travel and Mobile jobs that are similar:\n\n
$67,500 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for komoot and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nMillions of people experience real-life adventures with our apps. We help people all over the world discover the best hiking and biking routes, empowering our users to explore more of the great outdoors. And we’re good at it: Google and Apple have listed us as one of their Apps of the Year numerous times and, with more than 12 million users and 100,000 five-star reviews, komoot is on its way to becoming one of the most popular cycling and hiking apps. Join our fully remote team of 60+ people and change the way people explore!\n\nTo help us grow, we’re looking for an experienced data scientist dedicated to improving our product experience. As a young tech company, we know how user engagement can be boosted by personalisation, recommendations, user-segmentations and smart retention hooks. Using a wide range of different data sets, from common analytics/product data to unusual data sets like GPS recording and social relations, you will drive product enhancements forward that will directly impact 12 million users.\n\nWe believe that innovations based on data science will reinforce and extend our leadership in the outdoor market and your role will be decisive for komoot’s success.\n\nWhat you will do\n\n\n* Work closely with our backend, web and mobile developers, designers, copywriters and product managers\n\n* Discuss product improvements, technical possibilities and road maps\n\n* Investigate and evaluate data science approaches for product enhancements\n\n* Turn prototypes into production systems by writing clean and maintainable code\n\n* Deploy and monitor your code in our AWS Cloud (you can count on the support of experienced backend engineers)\n\n\n\n\nWhy you will love it\n\n\n* You will be challenged with a wide range of data science tasks (e.g. optimise ranking/composition of a feed, recommend users to follow, churn prediction, personalisation, ...)\n\n* You will deal with a diverse set of data (location data, social network, user content (images, text), external data source like OSM, product analytics, ...)\n\n* You will go beyond prototyping and ship your code to production\n\n* You will contribute to a product with a vision to inspire more people to go outdoors\n\n* You will work in a fast-paced startup with strongly motivated and talented co-workers\n\n* You will enjoy the freedom to organize yourself the way you want \n\n* We let you work from wherever you want, be it a beach, the mountains, your house, coworking center of your choice, our HQ in Potsdam or anywhere else that lies in any time zone situated between UTC-1 and UTC+3\n\n* You will travel together with our team to amazing outdoor places several times a year to exchange ideas, learnings and go for hikes and rides\n\n\n\n\nYou will be successful in this position if you\n\n\n* Have a passion for finding pragmatic and smart solutions to complex problems\n\n* Have a solid understanding of math and statistics\n\n* Have 3+ years of industry experience in data science\n\n* Master Jupyter, pandas, NumPy, matplotlib/seaborn, scikit-learn and XGBoost/LightGBM/CatBoost\n\n* Bonus: TensorFlow, Keras or PyTorch\n\n* Know SQL\n\n* Love to write clean, maintainable and tested Python code\n\n* Have experience productionising your data science solutions\n\n* Have strong communication and team skills\n\n* Have a hands-on attitude and are highly self-driven\n\n* Bonus: Know statically typed languages such as Kotlin/Java/C or Go\n\n* Bonus: Have cloud experience (e.g. with AWS)\n\n* Bonus: Have BigData experience (e.g. Spark, Presto, Hadoop)\n\n\n\n\nSounds like you?\n\nThen send us the following:\n\n\n* Your CV in English highlighting your most relevant experience\n\n* A write-up explaining who you are and why you are interested in working at komoot\n\n* Examples of your work (e.g. GitHub Repositories, PDFs, Slideshare, etc.)\n\n* Feel free to send us something that shows us a little more about what you’re interested in, be it your Twitter/Instagram account, a blog or something else\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, English, Cloud, Math, Python, Travel, Mobile, Backend and Non Tech jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for PROEMION and want to re-open this job? Use the edit link in the email when you posted the job!
\nJoin a well-established (30+ years) telematics company to deliver a new generation of our data processing pipeline and analytics tools.\n\nProemion is at the forefront of the IoT/Telematics revolution and is looking for a Data Scientist (f/m) at the earliest possible date. The position can be at our headquarter in Fulda, Germany or full-time remote.\n\nThe team you will join is mostly remote with members spread across the globe.\n\nRequirements\n\n\n* Bachelors' or Masters' degree in Physics, Math, Computer Science, or Statistics preferred\n\n* Strong Python skills, especially in:\n\n\n\n\nnumby\n\npandas\n\nmatplotlib\n\nstatsmodels\n\nsklearn\n\n\n* You have an excellent understanding of math mainly linear algebra, probability, statistics as well as algorithms from the time series field\n\n* You are highly experienced with tooling like git, github, docker, rundeck, Jenkins, Travis, or Bash\n\n* Possess initiative, creativity, analytical skills, team spirit and the ability to work independently\n\n* You are a real world coding expert\n\n\n\n\nWhat you can expect\n\nWe are working with a massive dataset based on thousands complex construction- and off-road vehicles. Our data covers performance data, geo data and diagnostic event data. There for we have a huge range of use cases to address and can verify them utilizing out close relations with world class vehicle / machine manufacturers. We work with real machines with strong cases.\n\nYour role will mainly include the following tasks:\n\n\n* Time Series forecasting on sensor data:\n\n\n\n\nARIMA, HoldWinters, Linear Regression\n\nCross metric ML models\n\n\n* Anomaly detection in time series data and event data\n\n* Predictive maintenance based on performance data and diagnostic events\n\n* Interfacing with REST APIs\n\n* Feature definition based on many sensor signals\n\n* Gauge the performance and accuracy of forecasts and models\n\n* Development in Python and Java including automated testing\n\n* Automation of the analysis workflows including integrations with other Systems\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Java, Math and Python jobs that are similar:\n\n
$75,000 — $122,500/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AdRoll and want to re-open this job? Use the edit link in the email when you posted the job!
\nAbout the Role:\n\nThe Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product. Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.\n\nCurrent members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.\n\nMoreover, AdRoll Engineering is broken out into small teams that have significant autonomy. We like to think of Data Science Engineering as a 'startup within AdRoll.' You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on AdRoll's core metrics.\n\nData Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.\n\nCurrent projects include:\n\n\n* Enhancing our machine learning software with the latest in machine learning algorithms\n\n* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions\n\n* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.\n\n* Performing automated market analyses to dynamically react to changing market conditions\n\n\n\n\nResponsibilities:\n\n\n* Discover new predictive insights in our dataset\n\n* Design systems that regularly compute new predictive models\n\n* Read and conduct research to develop mathematical solutions to our most pressing problems\n\n* Engineer to put your research into practice\n\n* Ownership of a system that is the core of our intelligence products\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer, React and Math jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AdRoll and want to re-open this job? Use the edit link in the email when you posted the job!
\nAbout the Role:\n\nThe Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product. Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.\n\nCurrent members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.\n\nMoreover, AdRoll Engineering is broken out into small teams that have significant autonomy. We like to think of Data Science Engineering as a 'startup within AdRoll.' You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on AdRoll's core metrics.\n\nData Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.\n\nCurrent projects include:\n\n\n* Enhancing our machine learning software with the latest in machine learning algorithms\n\n* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions\n\n* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.\n\n* Performing automated market analyses to dynamically react to changing market conditions\n\n\n\n\nResponsibilities:\n\n\n* Discover new predictive insights in our dataset\n\n* Design systems that regularly compute new predictive models\n\n* Read and conduct research to develop mathematical solutions to our most pressing problems\n\n* Engineer to put your research into practice\n\n* Ownership of a system that is the core of our intelligence products\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer, React and Math jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for AdRoll and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 404 3 years ago
\nAbout the Role:\n\nThe Data Science Engineering team writes the math and software that sit at the heart of AdRoll’s real-time bidding technology, our core product. Our software runs over hundreds of terabytes of data daily to produce its models, which are then subsequently queried billions of times by hundreds of servers.\n\nCurrent members of Data Science Engineering have a passion for not only mathematics, but also technology. If you join our team, you will have the opportunity to stay on the cutting edge of research and then to put this research to practical use by building your own software and infrastructure systems. When you push out your code, you will be able to see the results of your efforts ripple throughout our systems in real-time.\n\nMoreover, AdRoll Engineering is broken out into small teams that have significant autonomy. We like to think of Data Science Engineering as a 'startup within AdRoll.' You will design your systems as you see fit, own your code, and your work will have a very direct, measurable impact on AdRoll's core metrics.\n\nData Science Engineering is a small team with a variety of concurrent projects. Your interests dictate what projects you will tackle. The common thread among all projects is that they require a high level of mathematical sophistication and engineering prowess, due to the scale of our data.\n\nCurrent projects include:\n\n\n* Enhancing our machine learning software with the latest in machine learning algorithms\n\n* Employing machine learning and statistical modeling over our petabytes of data to generate new features to feed into our bid-time predictions\n\n* Creating systems that monitor inputs and performance on a real-time basis to inform engineers when unexpected changes arise.\n\n* Performing automated market analyses to dynamically react to changing market conditions\n\n\n\n\nResponsibilities:\n\n\n* Discover new predictive insights in our dataset\n\n* Design systems that regularly compute new predictive models\n\n* Read and conduct research to develop mathematical solutions to our most pressing problems\n\n* Engineer to put your research into practice\n\n* Ownership of a system that is the core of our intelligence products\n\n\n \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Engineer, React and Math jobs that are similar:\n\n
$70,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Loci and want to re-open this job? Use the edit link in the email when you posted the job!
\nThis is an exciting opportunity to work on a platform accelerating technology innovation and serving your fellow engineers and entrepreneurs, and ultimately has high impact on the world, helping to solve the big problems. As an early stage company, Loci is a remote team (Northern Virginia based) tackling the large challenge of a getting a high growth company through early structuring. For early team members, there is virtually unlimited potential for growth. We are offering flexibility, equity, and salary components to facilitate getting the right team members on board, and in place for an exciting ride.\n\nLoci is seeking a Senior Developer and Data Scientist to help realize our product. At the core of our platform, a set of heuristics and algorithms express relationships among products, concepts, inventors, investors, etc. This algorithmic core is expressed in an extensive patent with related documentation and must be implemented to support a larger platform, including a novel search engine with crowdsourcing and other interesting functions. This will require math skills, algorithms, machine learning, communication skills, etc. and extremely talented and independent thinking engineers. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Data Science, Senior, Developer, Digital Nomad and Math jobs that are similar:\n\n
$60,000 — $130,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Medbravo and want to re-open this job? Use the edit link in the email when you posted the job!
\nMedbravo is an e-Health startup in the fight against cancer: we are bringing the power of big data on clinical trials in cancer research. Our team is building a disruptive software platform around clinical trials focused in oncology that connects hospitals across regions on an online digital infrastructure. Our platform aggregates and process clinical trials protocol data at a clinical depth meaningful for patients, doctors, researchers and pharmaceutical industry providing them with analytics and actionable insights.\n\nWe need a java backend engineer to work with NLP (natural language processing), big-data, solr, hadoop .. In essence, if you are a fast learning engineer and you are interested in data-mining techniques and you enjoy building algorithms as well as applying math concepts, do not hesitate to contact us. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Java, Math, Data Science, Medical, Engineer and Backend jobs that are similar:\n\n
$75,000 — $120,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for Portent.IO and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 403 3 years ago
About us: We're a funded team working on a really exciting predictive analytics platform for the film industry. In short we're using big-data to help predict how much a movie will make before it's even been made (check out our site for more info). We've also secured partnerships with some very large market research companies meaning that we have a completely unique and vast data set to play with.\n\nWhat we're looking for: A data scientist or an experienced coder (who could pick up data science skills) with a hackers mentality to join us full time who is interested in the film business and who will also be happy to travel to LA occasionally. We're not interested in how old you are, what your qualifications are, or where you're from; we're only interested in you being able to do a damn good job and being passionate about film!\n\nYou will need to be knowledgable in the following:\n\n- R or Python (in particular it's big data tool sets) or Mathematica\n- PHP\n- Experience with multiple different types of database.\n\nNice to have skills but not essential:\n\n- JavaScript/HTML5\n- Experience writing scraper tools\n- Experience doing twitter sentiment analysis \n\n#Salary and compensation\n
$20,000 — $50,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nLos Angeles
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for CarZumer and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 403 3 years ago
CarZumer is seeking an experienced Informatics and Decision Systems Developer with analytic background. Experience in financial or consumer credit services, and decisioning systems a plus.\n\nThe Role\n• Perform data analysis, Yield optimization and mathematical modeling, algorithms testing, Rapid prototyping\n• Designing, deploying, and enhancing predictive or behavioral models as well as hi-visibility analytics, dashboards and reports\n• Research and develop predictive analytics for continuous optimization of customer conversion rates based on structured and unstructured data\n• Conduct complex SQL/non-SQL queries on data warehouse /data store and work with other data extraction.\n\n\nSkills, Qualifications\n• 5+ years experience in Data mining/Advanced Analytics.\n• Experience in statistics, applied math or econometrics, consumer credit analytics\n• Experience with WCF services framework for loan processing; experience with C# and .NET technologies; \n• Experience with SQL Server 2012/2008 with Entity Framework and Visual Studio 2013/2010\n• Excellent coding skills covering some procedural as well as statistical or data oriented languages. (Such as: Java, Scala, Python as well as R, SQL, etc.)\n• Experience with technologies such as R, SPSS, SAS, Hive, Pig, Hadoop, Netezza, MicroStrategy, Tableau etc.\n• Strong knowledge of distributed computing, data warehouse, data mining, business analytics and software development\n• Experience should include work in one or more of the following areas: NoSQL, Hadoop, Hive, Pig, MapReduce, or other similar tools, Databases and/or data models (Graph databases, semantic frameworks etc), Statistics (Regression, Clustering, Decision trees, Hypergraphs etc), Simulation, scenario analysis, modeling\n• Proficient with visualization tools- Tableau, Polymaps, Gephi, Google Charts, GraphLab/GraphChi, etc.\n\n\nEducations\n• BS/MS/Ph.D Degree or Higher in Math, Statistics or Computer Science or Equivalent \n\n#Salary and compensation\n
$60,000 — $72,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nSan Diego
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
This job post is closed and the position is probably filled. Please do not apply. Work for DataCulture and want to re-open this job? Use the edit link in the email when you posted the job!
🤖 Closed by robot after apply link errored w/ code 403 3 years ago
JOB DESCRIPTION\nWe are looking for a Data Scientist with solid machine learning background to work with our engineering team to improve and optimize our platform. You will have significant input into the team’s architectural approach and execution. We are looking for a hands-on coder who enjoys implementing algorithms as much as designing and fine-tuning them.\n\nRESPONSIBILITIES\n- Design scalable predictive models with large number of features\n- Be responsible for the machine learning implementation process: model design, feature planning, system infrastructure, production setup and monitoring, and release management\nUse machine learning techniques optimized for distributed computing environments\n \nQUALIFICATIONS\n- Computer Science and Math degree with a track record of build and deploying apps as a part of curriculum or side projects\n- Advanced knowledge of predictive analytics / statistical modeling / machine learning such as regression analysis, predictive models, Bayesian classification, collaborative filtering, decision trees, and clustering problems applied to large data sets\n- Expert in at least one of: Python, Java, Scala, C++\n- Good understanding of web technologies and \n- Full-time commitment\n\nDESIRED SKILLS\n- Familiarity with distributed systems and methodologies: Spark, Hadoop, MapReduce, Cascading, Hive, Pig\n- Experience with NoSQL / graph databases: Neo4J, MongoDB, Riak, Cassandra\n- Experience with cloud technologies: AWS, Rackspace, Azure\n\nADDITIONAL INFORMATION\nWe are a close-knit family who drink a little too much coffee, work late nights and brainstorm creative new ways to improve our solutions. We have a distributed team and can work from anywhere. Join us if you are interested in working in a dynamic and exciting start-up environment, being part of a world-class team, receiving individual and company performance bonuses, and indulging in free snacks, drinks, and food! \n\n#Salary and compensation\n
$600,000 — $650,000/year\n
\n\n#Benefits\n
💰 401(k)\n\n🌎 Distributed team\n\n⏰ Async\n\n🤓 Vision insurance\n\n🦷 Dental insurance\n\n🚑 Medical insurance\n\n🏖 Unlimited vacation\n\n🏖 Paid time off\n\n📆 4 day workweek\n\n💰 401k matching\n\n🏔 Company retreats\n\n🏬 Coworking budget\n\n📚 Learning budget\n\n💪 Free gym membership\n\n🧘 Mental wellness budget\n\n🖥 Home office budget\n\n🥧 Pay in crypto\n\n🥸 Pseudonymous\n\n💰 Profit sharing\n\n💰 Equity compensation\n\n⬜️ No whiteboard interview\n\n👀 No monitoring system\n\n🚫 No politics at work\n\n🎅 We hire old (and young)\n\n
\n\n#Location\nGurgaon
# How do you apply?\n\nThis job post has been closed by the poster, which means they probably have enough applicants now. Please do not apply.
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