\nAirDNA began with a big dream in a balmy California garage in 2015. Since then, the technology startup has grown into the leading provider of data and business intelligence for the billion-dollar travel and vacation rental industryโwith offices in Denver and Barcelona. \n\n\nOur self-serve platform eliminates guesswork and equips Airbnb hosts with smart and competitive insights needed to succeed in the ever-evolving short-term rental landscape. \n\n\nWe also arm enterprise clients with customized reports and in-depth dashboards to ensure they can scale and invest strategically. These customers include hundreds of top financial institutions, real estate companies, vacation rental managers, and destination marketing organizations around the world. \n\n\nWe track the daily performance of over 10 million Airbnb and Vrbo properties across 120,000 global markets. We also collect data from over a million partner properties. This marriage of scraped and source data, enhanced by our proprietary algorithms, makes our solutions the most accurate and comprehensive in the world. \n\n\nWeโre firm believers that data isnโt the destination; itโs the starting point. The launchpad. The bedrock for any future-forward business.\n\n\nThe AirDNA Team\nAt AirDNA, weโre a team of data nerds on a mission to empower our customers to smartly grow their businesses. And we're looking for people with a broad range of experiences and perspectives, who are excited by our mission, values, and drive to change the short-term rental market. In short: Life is never boring here. And we genuinely live and breathe our company values: Happy, Hungry and Honest. People who are ready to exemplify these values are especially encouraged to apply. We invite you to apply even if you are unsure about whether you meet every single requirement in this posting. We carefully consider every application, not just those that check off all the boxes.\n\n\nThe Role\nAirDNA is looking for a Senior Data Engineer to help us build a solid and scalable data infrastructure and analytical environment. The ideal candidate enjoys data wrangling, optimizing data pipelines, and building solutions for data collections and analysis in parallelized and scaled out environments. The AirDNA infrastructure currently processes billions of data points and hosts databases well into terabyte-size ranges, making this an interesting and challenging opportunity.\n\n\n\nHere's what you'll get to do\n* Build and extend data pipelines, written in Scala and running on Spark\n* Tune Spark job performance \n* Write clean, performant Scala code\n* Work closely with our Product, Data Science and other Engineering teams to craft new products\n* Contribute to Python and Scala-based microservices running on kubernetes\n\n\n\nHere's what you'll need to be successful\n* 5 or more years of experience in a Data Engineer role\n* BS/BA in Computer Science\n* Experience developing cloud based pipelines\n* Strong experience with Spark\n* Experience with Scala, and exposure to Python\n* Experience with developing and deploying cloud-based data solutions\n* Experience in any of the following is considered to be an asset: streaming technology such as Kafka or Google Pub/Sub, Databricks, AWS / GCP, Postgres, Protobuf, Snowflake or other Data Warehousing solutions, and Test Driven Development \n* Ability to operate with strong ownership and independence\n\n\n\nTech stack\n* Scala\n* Python\n* Spark\n* Databricks\n* AWS EMR, Athena, RDS (Postgres), Redshift, and S3\n\n\n\nJob perks\n* Competitive cash compensation and benefits, the salary range for this position is โฌ100,000 - โฌ120,000 per year. \n* Eligible for Companyโs annual discretionary bonus program\n* 36 holidays per year\n* Continuing education stipend\n* Talented international team and a vibrant work environment\n* Bottom-up management: we listen to your ideas and implement them\n* Team building events\n* Dog friendly office!\n\n\n\n\n\nAirDNA seeks to attract the best-qualified candidates who support the mission, vision and values of the company and those who respect and promote excellence through diversity. We are committed to providing equal employment opportunities (EEO) to all employees and applicants without regard to race, color, creed, religion, sex, age, national origin, citizenship, sexual orientation, gender identity and expression, physical or mental disability, marital, familial or parental status, genetic information, military status, veteran status or any other legally protected classification. The company complies with all applicable state and local laws governing nondiscrimination in employment and prohibits unlawful harassment based on any of the aforementioned protected classes at every location in which the company operates. This applies to all terms, conditions and privileges of employment including but not limited to: hiring, assessments, probation, placement, benefits, promotion, demotion, termination, layoff, recall, transfer, leave of absence, compensation, training and development, social and recreational programs, education assistance and retirement. \n\n\nWe are committed to making our application process and workplace accessible for individuals with disabilities. Upon request, AirDNA will reasonably accommodate applicants so they can participate in the application process unless doing so would create an undue hardship to AirDNA or a threat to these individuals, others in the workplace or the company as a whole. To request accommodation, please email [email protected]. Please allow for 24 hours to process your request. \n\n\nBy applying for the above position, you will confirm that you have reviewed and agreed to our Data Privacy Notice for Applicants. \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Python, Travel, Education, Cloud, Senior, Marketing and Engineer jobs that are similar:\n\n
$70,000 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nEU
๐ 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.
\n๐London / UK Remote | ๐ฐ ยฃ75,000 - ยฃ100,000 + Benefits | Technology - Engineering | Hear from the team โจ\n\nAbout us: \n\nWeโre here to make money work for everyone and we're doing things differently. For too long, banking has been obtuse, complex and opaque.\n\nWe want to change that and build a bank with everyone, for everyone. Our amazing community suggests features, test the app and give us constant feedback so we can build something everyone loves.\n\nWe're focused on solving problems, rather than selling financial products. We want to make the world a better place and change people's lives through Monzo.\n\nAbout our Engineering Team:\n\nWe have around 300 engineers out of roughly 2,500 people in total - and we have big ambitions. There are many interesting challenges ahead, and we're happy for people to move between teams or to specialise, whatever you prefer. As an engineer here you'd be able to work directly with anyone across the company, and we run regular knowledge-sharing sessions so youโll learn heaps about everything from how banks work to effective communication.\n\nWe contribute to open source software as much as possible. Our blog is a good place to learn even more about what we do!\n\nWhat youโll be using: \n\nWe rely heavily on the following tools and technologies:\n\n\nGo to write our application code (thereโs an excellent interactive Go tutorial here)\n\nCassandra for most persistent data storage\n\nKafka for our asynchronous message queue\n\nEnvoy Proxy for RPC\n\nKubernetes and Docker to schedule and run our services \n\nAWS for most of our infrastructure\n\nReact for internal web dashboards\n\nWe also have two physical datacenter sites with actual cables to connect to various third parties\n\n\n\n\nYour day-to-day \n\nThis role is all about collaborating across disciplines to test hypotheses and make a difference to customers. As a product backend engineer youโll work in a squad alongside product managers, marketers, user researchers, designers, mobile engineers, web engineers, data analysts, business analysts, writers and more! \n\nTogether youโll build and support a particular part of Monzo. Our product squads belong to our wider collectives (a word we use to describe self-governing business units of ~100 people). They are; Money, Borrowing, Fincrime, Customer Operations, Platform, Personal Banking & Business Banking. Theyโre all looking for additional Backend Engineers right now, we do a standard interview process across all our collectives and at the end we will find the best match for you based on your skills, experience, preferences and aligning with the business need! \n\nOur backend engineers have a variety of different backgrounds. As long as you enjoy learning new things, weโd love to talk to you. We do not ask for formal qualifications or degree requirements for any of our engineering roles.\n\nYou should apply if:\n\n\nyou have strong experience working on the backend of a technology product\n\nyou want to be involved in building a product that you (and the people you know) use every day\n\nyou have a product mindset: you care about customer outcomes and you want to make data-informed decisions\n\nyouโre comfortable working in a team that deals with ambiguity\n\nyouโre interested in distributed systems and writing resilient software\n\nyou have some experience with strongly-typed languages (Go, Java, C, Scala etc.).\n\nyou think youโd enjoy the kind of work weโre doing\n\n\n\n\nWe're on the look out for L40, 50 & 60 Engineers at the moment, you can read more in our Engineering Progression Framework \n\nThe Interview Process:\n\nOur interview process involves three main stages: \n\nInitial Call \n\nTake home task or pair coding exercise \n\nFinal interview including a system design and a behavioural interview \n\n\n\nOur average process takes around 2-3 weeks but we will always work around your availability. \n\nYou will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions or want to talk through reasonable adjustments ahead of or during application please us at any point on [email protected] \n\nOne of our engineers has written a detailed blog on their experience through this process, for extra details, hints and tips please see here.\n\nWhatโs in it for you:\n\n๐ฐ ยฃ75,000 - ยฃ100,000 base salaryโ plus stock options \n\nโ๏ธWe can help you relocate to the UK \n\nโ We can sponsor visas.\n\n๐This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London).\n\nโฐWe offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team.\n\n๐Learning budget of ยฃ1,000 a year for books, training courses and conferences\n\nโAnd much more, see our full list of benefits here \n\nWe're usually always hiring for Backend Engineers, so there's no closing date for this job.\n\nEqual Opportunity Statement\n\nWe are actively creating an equitable environment for every Monzonaut to thrive.\n\nDiversity and inclusion are a priority for us and we are making sure we have lots of support for all of our people to grow at Monzo. At Monzo, embracing diversity in all of its forms and fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our blog, 2022 Diversity and Inclusion Report and 2022 Gender Pay Gap Report.\n\nWe're an equal opportunity employer. All applicants will be considered for employment without attention to ethnicity, religion, sexual orientation, gender identity, family or parental status, national origin, veteran, neurodiversity status or disability status.\n\n#LI-Remote\n\n#LI-HJ1 \n\n#Salary and compensation\n
No salary data published by company so we estimated salary based on similar jobs related to Design, Scala, Mobile, Engineer and Backend jobs that are similar:\n\n
$55,000 — $110,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nLondon, England, United Kingdom
๐ 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.
Paytm is hiring a Remote Data Science Senior Data Scientist
\nAbout Us: \n\n\nPaytm is Indiaโs leading digital payments and financial services company, which is focused on driving consumers and merchants to its platform by offering them a variety of payment use cases. Paytm provides consumers with services like utility payments and money transfers, while empowering them to pay via Paytm Payment Instruments (PPI) like Paytm Wallet, Paytm UPI, Paytm Payments Bank Netbanking, Paytm FASTag and Paytm Postpaid - Buy Now, Pay Later. To merchants, Paytm offers acquiring devices like Soundbox, EDC, QR and Payment Gateway where payment aggregation is done through PPI and also other banksโ financial instruments. To further enhance merchantsโ business, Paytm offers merchants commerce services through advertising and Paytm Mini app store. Operating on this platform leverage, the company then offers credit services such as merchant loans, personal loans and BNPL, sourced by its financial partners.\n\n\nAbout the role:\n\n\nWe are seeking a highly skilled and experienced Data Scientist who will build and own foundation models with the end goal of mitigating risk across merchant and user journey while enhancing growth across different segments of our business. You will work on developing deep learning (DL) models for Fraud & Risk use cases as well as building in-house foundation models for learning representation of entities like customers, merchants, devices etc. in our ecosystem. In this role you will work with a talented engineering and data science team to build and deploy models at scale. You will have the opportunity to apply and improvise over the latest breakthroughs in AI research from industry and academia and bring them into life with our data product offerings.\n\n\nWhat does this include?\nBuild Sequence and graph representation learning on what our entities (user/merchants/FSE etc) do and how they interact over time in the ever evolving Paytm ecosystem. \nFine tune the learnt models for downstream applications related to better understanding of entities, prevent fraud, target marketing etc.\nDesign, build, evaluate and maintain ML/DL models to detect various types of fraud while improving end user experience\nCollaborate with product and analytics partners for business to ML problem formulation and align on key deliverables\nEnd-to-end management of the entire lifecycle of the machine learning or deep learning project, from identifying objectives and preparing data to testing and validating models, calibrating them, monitoring and feedback loop.\nUnsupervised learning methods to augment existing supervised models, or detect portfolio anomalies\n\n\nRequirements:\n4+ years of work experience as a Data Scientist.\nHave developed and deployed deep neural network models at scale\nKnowledge of sequence representation learning with recursive (RNN, LSTM, ELMO ..) and/or attention (Transformer variations like BERT, GPT, ..) based neural networks. \nShould have developed and deployed one such model from scratch. \nKnow the trade off between choosing the techniques\nWorking knowledge on Knowledge Graph representation learning using Graph Neural Network (GraphSage/GAT/Graph Transformer ..) is a plus\nExcellent understanding of ML/DL frameworks (Keras/Tensorflow/PyTorch etc.) and libraries (scikit-learn, etc.)\nExcellent understanding of computer science fundamentals, data structures, and algorithms.\nShould have familiarity with object-oriented design methodology and application development in Python.\nFamiliar with Big Data related technologies to manage large volumes of complex data (SQL, pyspark). \nKnowledge of Scala is a plus\nPassion to learn and build quick POCโs with state-of-the-art ML/DL algorithms.\nChallenging the norm, creative thinking, collaboration\nWorking experience of fraud risk is plus\nBS in Computer Science or MS in Data Science discipline (or equivalent).\n\n\nWhy join us:\nBecause you get an opportunity to make a difference, and have a great time doing that\nYou are challenged and encouraged here to do stuff that is meaningful for you and for those we serve\nYou should work with us if you think seriously about what technology can do for people\nWe are successful, and our successes are rooted in our people's collective energy and unwavering focus on the customer, and that's how it will always be.\nLearn more about the exciting work we do in Tech by reading our Engineering blogs\n\n\nCompensation:\nIf you are the right fit, we believe in creating wealth for you. \nWith enviable 500 mn+ registered users, 21 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants โ and we are committed to it. \nIndiaโs largest digital lending story is brewing here. Itโs your opportunity to be a part of the story!\n\n\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 Design, Testing, Scala, Senior and Marketing jobs that are similar:\n\n
$50,000 — $100,000/year\n
\n\n#Benefits\n
๐ฐ 401(k)\n\n๐ Distributed team\n\nโฐ Async\n\n๐ค Vision insurance\n\n๐ฆท Dental insurance\n\n๐ Medical insurance\n\n๐ Unlimited vacation\n\n๐ Paid time off\n\n๐ 4 day workweek\n\n๐ฐ 401k matching\n\n๐ Company retreats\n\n๐ฌ Coworking budget\n\n๐ Learning budget\n\n๐ช Free gym membership\n\n๐ง Mental wellness budget\n\n๐ฅ Home office budget\n\n๐ฅง Pay in crypto\n\n๐ฅธ Pseudonymous\n\n๐ฐ Profit sharing\n\n๐ฐ Equity compensation\n\nโฌ๏ธ No whiteboard interview\n\n๐ No monitoring system\n\n๐ซ No politics at work\n\n๐ We hire old (and young)\n\n
\n\n#Location\nBengaluru, Karnataka
๐ 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.