**Company Description**\n\nShopify is now permanently remote and working towards a future that is digital by default. Learn more about what this can mean for you.\n\nAt Shopify, we build products that help entrepreneurs around the world start and grow their business. We’re the world’s fastest growing commerce platform with over 1 million merchants in more than 175 different countries, with solutions from point-of-sale and online commerce to financial, shipping logistics and marketing.\n\n**Job Description**\n\nData is a crucial part of Shopify’s mission to make commerce better for everyone. We organize and interpret petabytes of data to provide solutions for our merchants and stakeholders across the organization. From pipelines and schema design to machine learning products and decision support, data science at Shopify is a diverse role with many opportunities to positively impact our success. \n\nOur Data Scientists focus on pushing products and the business forward, with a focus on solving important problems rather than specific tools. We are looking for talented data scientists to help us better understand our merchants and buyers so we can help them on their journey.\n\n**Responsibilities:**\n\n* Proactively identify and champion projects that solve complex problems across multiple domains\n* Partner closely with product, engineering and other business leaders to influence product and program decisions with data\n* Apply specialized skills and fundamental data science methods (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed) to inform improvements to our business\n* Design and implement end-to-end data pipelines: work closely with stakeholders to build instrumentation and define dimensional models, tables or schemas that support business processes\n* Build actionable KPIs, production-quality dashboards, informative deep dives, and scalable data products\n* Influence leadership to drive more data-informed decisions\n* Define and advance best practices within data science and product teams\n\n**Qualifications**\n\n* 4-6 years of commercial experience as a Data Scientist solving high impact business problems\n* Extensive experience with Python and software engineering fundamentals\n* Experience with applied statistics and quantitative modelling (e.g. regression, survival analysis, segmentation, experimentation, and machine learning when needed)\n* Demonstrated ability to translate analytical insights into clear recommendations and effectively communicate them to technical and non-technical stakeholders\n* Curiosity about the problem domain and an analytical approach\n* Strong sense of ownership and growth mindset\n \n**Experience with one or more:**\n\n* Deep understanding of advanced SQL techniques\n* Expertise with statistical techniques and their applications in business\n* Masterful data storytelling and strategic thinking\n* Deep understanding of dimensional modelling and scaling ETL pipelines\n* Experience launching productionized machine learning models at scale\n* Extensive domain experience in e-commerce, marketing or SaaS\n\n**Additional information**\n\nAt Shopify, we are committed to building and fostering an environment where our employees feel included, valued, and heard. Our belief is that a strong commitment to diversity and inclusion enables us to truly make commerce better for everyone. We strongly encourage applications from Indigenous people, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with intersectional identities. Please take a look at our 2019 Sustainability Report to learn more about Shopify's commitments. \n\nPlease mention the words **STOVE SIEGE FRESH** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). 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\nUnited States, Canada

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, Amazon, Cloud, Python and Engineer 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

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, Amazon, Cloud, Python and Engineer 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

\nThis role is contract to hire. \n\nBlue Orange Digital is looking for a Machine Learning Engineer to join our awesome multi-disciplinary team. We build data analytics platforms for our clients that incorporate machine learning to solve business problems. Blue Orange Digital works across multiple industries, this role provides an exciting set of experiences across a wide range of domains.\n\nYour primary focus will be the architecting and developing systems that include data ingestion, data processing, algorithm development, and ML model development & deployment. Major technologies involved include AWS, Python 3, Spark, Pandas, Tensorflow. The ideal candidate for this position has a mixture of experience in Machine Learning model development, Cloud Engineering, and Data Engineering.\n\nCore Responsibilities & Skills\n\n\n* Architecting, building and maintaining modern, scalable data architectures on AWS\n\n* Solving problems using Machine Learning and delivering ML solutions all the way to production\n\n* Building resilient ETL pipelines using workflow orchestration tools such as Airflow, Prefect, Luigi\n\n* Data exploration, analysis, and reporting with an eye towards developing a narrative using Notebooks.\n\n* Demonstrable experience in one or more of the following specializations: NLP, pattern detection, anomaly detection, predictive modeling, and optimization\n\n\n\n\nQualifications\n\n\n* BA/BS degree in Computer Science or a related technical field, or equivalent practical experience.\n\n* Advanced experience in Python with an excellent understanding of computer science fundamentals, data structures, and algorithms\n\n* Experience in Amazon AWS, DevOps and Automation\n\n* Experience with distributed machine learning using tools like Dask, Tensorflow, Kubeflow\n\n* Enjoys collaborating with other engineers on architecture and sharing designs with the team \n\n* Interacts with others using sound judgment, good humor, and consistent fairness in a fast-paced environment\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, DevOps, Amazon, Cloud, Python and Engineer 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

# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a Backend Software Engineer with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n# Responsibilities\n* Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.) \n\nPlease mention the words **REFORM OBLIGE SPOT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). 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 No salary data published by company so we estimated salary based on similar jobs related to Data Science, Golang, Engineer, Backend, Developer, Digital Nomad, Amazon and SaaS jobs that are similar:\n\n $67,500 — $120,000/year\n
\n\n#Benefits\n 🦷 Dental insurance\n\n🏔 Company retreats\n\n
\n\n#Location\nUnited States

# Description\nOur mission is to standardize the B2B supply chain to allow for the more efficient operation of retailers, distributors and manufacturers alike. We've started with the automation and streamlining of day-to-day operations carried out by online retailers. Our price management software, Aura, proudly supports over 1,000 Amazon merchants and processes over 750-million price changes on the Amazon marketplace each month.\n\nOur profitable bootstrapped company was founded in 2017 by a pair of Amazon sellers with a background in engineering. We're a team of die-hard nerds obsessed with big data and automation.\n\nWe're looking for a **Backend Software Engineer** with experience in distributed systems and an entrepreneurial mindset to join us.\n\nOur growing team is remote-first, so it's important that you're able to communicate clearly and effectively in such an environment. We meet regularly, so we require that prospective team members' timezones are in alignment with ours (UTC-10 to UTC-4).\n\n# Responsibilities\n * Design and implement core backend microservices in Go\n* Design efficient SQL queries\n* Follow test-driven development practices\n* Conduct design and code reviews\n* Participate in daily standups and weekly all-hands meetings\n# Our Stack\nOur backend follows an event-driven microservice architecture. Here are some of the technologies you'll be using:\n\n* Golang\n* PostgreSQL\n* Redis, Elastisearch\n* Several 3rd Party APIs\n# Benefits\n* Competitive salary\n* Fully remote position\n* Company sponsored health, vision and dental insurance\n* Flexible vacation policy\n* Equity in a profitable company\n* Bi-annual company retreats in locations around the world\n* Startup culture where you're encouraged to experiment \n\n# Requirements\n* B.S. in Computer Science or relevant field\n* Strong problem-solving and communication skills\n* Experience with relational databases (PostgreSQL) and ability to analyze and write efficient queries\n* Experience with Go in production-grade environments\n* Experience building REST APIs\n* Working knowledge of Git\n# Preferred Qualifications\n* Experience building distributed systems, event-driven microservice architecture, CQRS pattern\n* Previous remote work experience\n* Experience integrating with Amazon MWS (Marketplace Web Service)\n* Experience with Redshift, writing performant analytical queries\n* Experience collaborating via Git\n* Hands-on experience with highly concurrent production grade systems\n* Understanding of DevOps, CI/CD\n* Experience using AWS services (EC2, ECS, RDS, Redshift, SNS, SQS, etc.)\n* Understanding of the key metrics which drive a startup SaaS business (MRR, LTV, CAC, Churn, etc.) \n\nPlease mention the words **CRITIC GARBAGE WANT** when applying to show you read the job post completely (#RMjE2LjczLjIxNi4xMDA=). 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 No salary data published by company so we estimated salary based on similar jobs related to Machine Learning, Data Science, Golang, Engineer, Backend, Developer, Digital Nomad and Amazon jobs that are similar:\n\n $67,500 — $122,500/year\n \n\n#Location\nUnited States

\nAmida Technology Solutions is a DC-based technology company focused on solutions for data interoperability, data utility, and data security. We create open source solutions that collect, reconcile, transform, and standardize data for business intelligence, predictive analytics, decision support, and user transactions. We specialize in taking data from inception to impact.\nOur team is comprised of creative, forward thinkers who are passionate about using cutting edge technology to make a difference in people's lives and have a positive impact on our country. We offer an entrepreneurial, high growth environment that values fresh ideas, candid conversations, and authentic teamwork.\nAmida is currently looking for a Data Analyst to join our team in Washington DC or from a remote location within the continental US. In this role you will work across our client engagements, providing expertise in data collection, data analysis, data mapping, data profiling, data mining and data modeling.  You will be responsible for inspecting, cleansing, transforming and modeling data and will address issues related to data completeness and quality, as well as contribute to and produce technical and data process documentation. \nWhat you will be doing:\n* Prepare and conduct analyses and studies, needs assessment, and requirements analysis to align systems and solutions\n* Apply analytical methodologies and principles to meet client needs.\n* Prepare forecast and analyze trends, develops and analyzes metrics, and prepares reports and recommendations related to management.\n* You will also be responsible for focusing on business performance, project analysis, internal control, risk assessment, and support of project objectives.\n\n\nWhat we are looking for:\n* B.S. and/or M.S. in a quantitative field such as Computer Science, Statistics, or Mathematics\n* Minimum 3-5 year of recent professional experience in data science, data mining and/or data analysis\n* Experience in data migration to include data mapping and data profiling\n* Prior experience working with Healthcare data, or in the Healthcare field\n* Ability to conduct data profiling and predictive analysis using a variety of standard tools\n* Programming proficiency in a subset of Python\n* Experience with data visualization tools and methodologies\n* Ability to communicate concisely and effectively with software engineers and clients\n* Ability to obtain a Public Trust security clearance\n\n\nPreferred Skills\n* Exposure to Amazon Web Services (AWS) and cloud-based systems\n* Previous experience working with government clients such as Dept. of Defense (DoD) or Dept. of Veterans Affairs (VA)\n* Prior experience with metadata management to include meta tagging\n* Previous experience working in an Agile Team setting and using Agile management tools such as Jira\n* Experience with machine learning, natural language, and statistical analysis methods to include classification, collaborative filtering, association rules, sentiment analysis, topic modeling, time-series analysis, regression, statistical inference, and/or validation methods\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, Analyst and Amazon 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

\nJob Title: \n\nSenior ETL/Data Analyst (Contractor or Contract-to-Hire Position - we're open to both)\n\n\n\nBrief Job Description:  \n\nLiteracyPro creates software for social good. Our data collection and reporting software helps government and community-based organizations help hundreds of thousands of disadvantaged people improve their opportunities to get jobs with sustainable, living wages for themselves and their families. Enjoy being part of a fun group of bright, passionate folks, in a great working environment, with generous salary & benefits while helping those who help others.\n\nOur newest product, CommunityPro Suite (CPS), is a growing SaaS case management, referral, reporting and analysis enterprise application that enables hundreds of agencies to securely match, consolidate and share data in real time. The purpose of the software is to reduce organizational friction by helping local agencies better collaborate to help people achieve economic self-sufficiency for themselves and their families. The end-goal of CPS is to play an important role in helping to create healthy, vibrant communities in this country and the world.\n\nOur Company is experiencing explosive growth due to increasing national demand for our software, and we’re looking for that rare, accomplished data analyst who wants to do good, get paid well and have fun doing it. We’re seeking someone with an energizing leadership style, and who has the smarts, passion and people skills to guide our efforts on all aspects of the data management process, including: on-boarding; acquisition; attribution; transformation; and reporting of newly acquired data sets to provide high-quality data supporting analytics and our clients’ needs in a timely fashion.\n\nGiven the highly execution-focused nature of the work, the ideal candidate will roll up their sleeves to ensure that their projects meet deadlines and will always look for ways to optimize processes in future cycles.\n\n\nResponsibilities:\n\nThis position has the primary responsibility for the acquisition, transformation, and maintenance of data for our primary SAAS application. This data is interchanged from and returned to an increasingly diverse set of third-party source systems.\n\n\n* Conduct in-depth data profiling and data quality assessments of data received from multiple source systems to determine the current level of data accuracy, conformation to standards, reporting requirements, etc.\n\n* Investigate data flow issues by discovering system states that prevent successful job completion (source systems, infrastructure, etc.).\n\n* Identify and analyze the errors/inconsistencies in the data; provide timely resolutions for data lineage and data cleansing.\n\n* Build and validate a data quality framework with alerts for data discrepancies.\n\n* Work with the product owner/system owner, development, and QA teams to ensure alignment and proper interpretation of complex data requirements.\n\n* Develop technical documentation, including requirements documents, process overviews, data models, data flow, and ETL jobs.\n\n\n\n\nExperience and Qualifications:\n\n\n* 6+ years performing analysis and building data processes.\n\n* 6+ years of experience with ETL tasks such as reviewing business requirements, developing and troubleshooting data cleansing and loading solutions, preparing solution documentation, data dictionaries, metadata repositories, and database security.\n\n* 6+ years of industry experience with the development and implementation of enterprise-level data warehousing and supporting business intelligence initiatives, particularly focused on star schema data modeling.\n\n* 6+ years of experience with database design, including mastery of complex report queries and SQL optimization.\n\n* Experience with MySQL, Amazon Web Services, Microsoft Azure. Experience with Pentaho CE a plus!\n\n* Familiarity with the data security and privacy requirements of FERPA, HIPPA, SOC2 and related industry and legal standards\n\n\n\n\n\n* Degree in Computer Science, Information Systems, Mathematics, or equivalent quantitative field\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, Analyst, Amazon, Microsoft, Legal and SaaS 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

\nHelp independent creators make a living doing what they love! Every day, thousands of customers use Creative Market to buy ready-to-use design content (fonts, graphics, templates, website themes, 3d models, etc) directly from top designers around the world. Join the team to help us continue our meteoric growth, and your work will be used by millions of people every month. As a data scientist on our Search & Discovery team, you will collaborate closely with product teams to build out and improve Creative Market’s search and recommendation technology. You'll work directly with our Elasticsearch infrastructure in Amazon AWS and iterate on our machine learning and data science pipelines. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Amazon and Elasticsearch jobs that are similar:\n\n $70,000 — $125,000/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

\nREAN Cloud is a Premier Amazon Web Services Provider and has grown over 500% in the past year and a half. That growth would not be possible without identifying top talent within one of the fastest growing verticals in technology. \n\nYou would be collaborating with a talented, senior team providing best-in-class solutions for extremely complex problems and have the ability to work on the most cutting edge technology platforms and tools available. \n\nIf you have experience automating large scale deployments with modern configuration and deployment management systems this could be the ideal role for you. REAN Cloud works with enterprise level organizations on some of the world’s largest automation and cloud deployment projects, and get to work with the coolest technologies throughout the process!\n\nData Scientist\n\nSkills\n\n\n* Extensive background leading analysis and modeling to provide business insights\n\n* Excellent problem solving skills with the ability to design algorithms including data profiling, clustering, anomaly detection, and predictive modeling\n\n* Hands-on experience developing advanced descriptive, real-time and predictive analytics in SQL, R, Python, Hadoop, Spark, SparkML, Hive, Presto, MXNet, TensorFlow\n\n* Experience developing machine learning solutions\n\n* Proficient with SQL databases and knowledge of standard methodologies\n\n* Expertise in creation of insights with reports and dashboards using industry standard business intelligence tools like Tableau, Looker and Jupyter Notebooks\n\n* Experience with AWS data services like Kinesis, EMR, Redshift, Data Pipeline\n\n* Ability to work with development teams to deliver high-quality\n\n* Agile / Scrum development methodology\n\n* Excellent documentation habits\n\n\n\n\nKey Focus Areas\n\n\n* Advanced statistical techniques to create high performing predictive models and creative analyses to address business challenges\n\n* Business intelligence visualization of insights for customers\n\n* Consultative customer interactions and deliverables\n\n* Large-scale data management & workflow\n\n* Analytic development and automation\n\n\n\n\n\nIf this sounds like something you’d be interested in pursuing, please don’t hesitate to apply today! We are growing at an unprecedented rate and this is a great time to get in on the ground floor of something extremely exciting. \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, Amazon and Cloud jobs that are similar:\n\n $70,000 — $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

\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Video, Amazon and Microsoft jobs that are similar:\n\n $65,000 — $110,000/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

\nTransform people's lives. Teach skills to create opportunity.  Apply to be a Lynda author today!\n\nPlease note that this is a contract-based course instructor role, not an in-house developer position.\n\nAt Lynda, we believe in connecting people to opportunity by sharing knowledge. With millions of Lynda members, your voice and expertise can make a difference.\n\nAre you an experienced technology professional with a passion to teach and share your expertise? Do you thrive on taking the complex and making it simple? 'Is the 'why' just as important as the 'how' to you? If you have knowledge to share, let’s connect! We’re seeking data scientists to create video training courses for our rapidly-growing audience.\n\nIf you have a passion for and experience working with these technologies, let’s talk!\n\n\n* Matlab\n\n* DevOps in data science\n\n* Apache stack for data scientists (Hadoop/MapReduce, Spark, Hive, Pig, Storm, Sqoop, Cassandra, HBase, Mahout, Lucene/Solr, Avro, CouchDB, Kafka, et al)\n\n* Emerging data science and analytics platforms: Google Cloud; Microsoft Azure ML/Cortana Intelligence; IBM Watson Analytics/Developer Cloud/Alchemy API; Amazon Machine Learning\n\n* QlikView and Qlik Sense\n\n\n\n\nAs a Lynda author, you get more than a platform - you get a partner. We pride ourselves on producing the highest quality educational courses available. You’ll partner with content area experts to scope and refine your ideas, then work with a professional production team of instructional designers, producers, graphic designers, editors, and QA specialists to assemble your world-class technology training course. Our well-established production process allows you to spend more time creating course content, while we take the lead on designing, producing, and editing the course. Ready to get started?\n\nJoin our passionate and experienced team of educators and technologists! \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Video, Amazon and Microsoft jobs that are similar:\n\n $65,000 — $110,000/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

\nVisionMobile is the leading research company in the software economy. We track developer trends across 20,000+ developers annually for clients including Microsoft, Intel, Google, Amazon and Mozilla. Our research appears at the forefront of mainstream media incl. Financial Times, Forbes, TechCrunch, and VentureBeat.\n\nWho we’re looking for\n\nAs a Data Scientist, you will have 2-4 years working experience in number crunching, data analysis and visualisation. You will be fearless in data crunching and keen to show-off your pivots and scorecards with eye-candy that begs to differ from boring Excel charts.\n\nYou will have undertaken many data analysis projects where your novel insights and attention to detail would impress. You might not have worked in the software industry before, but you have a passion for software, apps or smartphones and wanting to figure out what makes the software economy tick.\n\nIf you’re that person, we’d love to talk.\n\nWhat you’ll be responsible for\n\nAs a Data Scientist you’ll be reporting to our Director of Research and Operations, with responsibility for:\n\n- Data and number crunching in SQL, SPSS, Excel, R, MarketSight and visualisation software. You‘ll be working on complex projects, from sample weighting to behavioural analysis, population sizing and segmentation.\n\n- Analysing millions of developer data points to reveal the global software economy trends, from Brazil to Japan.\n\n- Tracking the latest trends on mobile, IoT, cloud and desktop developers.\n\n- Performing data analysis and research for our market-leading reports.\n\n- Helping shape our research agenda and asking developers the right questions.\n\n- Interact with clients to provide insightful answers to tough data problems.\n\n- Supporting the rest of the analyst team to create more than the sum of the parts.\n\nWe’re now looking for a full-time, Data Scientist to help drive insights out millions of developer data points. You’ll be working based in Europe or North America (east coast), working from home, a co-working space or our Athens-based office to support our distributed team \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Data Science, Amazon, Cloud, Excel 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

\nQuality internet matters to you, and youve probably used Ooklas tools to check your broadband or mobile data performance. You may be surprised to know that every day over 5 million people use our app on the web, on iOS and Android - it's even embedded in routers.  Our users love us - taking over 7.2 billion tests to date - in order to learn more about the service they are receiving from their ISPs, mobile carriers, etc.\n\nOokla is a small team of passionate individuals who have turned a clever idea into a thriving business, and have gained an invaluable insight into the state of the Internet on a truly global scale. Were looking for a qualified and enthusiastic Senior Systems Engineer to bring their skills to our team. Someone to whom the idea of architecting, building and maintaining systems supporting such a high user and data volume is exciting. Someone eager to own the infrastructure of a service that you feel passionate about while helping to make the internet a better place for us all. \n\nThis role will require frequent (near weekly) visits to our downtown Seattle office - the pinball machine isn't going to play itself after-all -  otherwise we are a largely virtual company with excellent workplace flexibility.\n\nRESPONSIBILITIES\n\n\n* Manage and maintain a global ecosystem of over 150 cloud, virtual, and physical servers running Linux, OpenSolaris, BSD and others supporting tens of millions of customer pageviews per day.\n\n* Contribute to systems architecture decisions, capacity planning, documentation\n\n* Maintain and extend systems management tools including Chef\n\n* Manage multiple high transaction level Percona MySQL clusters, Amazon RDS, and other database technologies\n\n* Batch and real time data processing of large customer data sets via SQL and custom tools\n\n* Support production systems in a 24x7x365 environment, including on-call responsibilities.\n\n* Support and collaborate with development, data analyst, sales and support staff\n\n* Mentor junior engineering staff\n\n\n\n\nBenefits\n\nCompetitive Salary, dependent on experience\n\nOokla has great benefits including competitive compensation, full medical, dental and vision benefits for you and your family, a generous vacation and holiday plan, and more. We also provide the best hardware, software and tools available for you to do your work. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Cloud, Admin, Mobile, Data Science, Senior, Junior, Android, Excel, Sales, Medical, Engineer, Linux, Sys Admin, Design, Digital Nomad and Amazon 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

\nKhan Academy is looking for talented data scientists to create a free virtual classroom for the world. Our small team is changing the face of education - join us on our mission to provide a free, world-class education for anyone, anywhere.\n\nWe’re fun, quirky people at heart that come from a variety of backgrounds. Our team includes industry leaders from Google, Apple, Facebook, Microsoft, Pixar, Fog Creek, and tiny startups, as well as people with non-traditional backgrounds who didn’t graduate from college. Together, we’re a small but elite team, deeply invested in your future. We believe that no organization will be as invested in developing you as a professional.\n\nThe Data Science team works alongside developers, product managers and designers, applying analytical tools and statistical methods to our amazing dataset to improve the learning experience for our users. Data scientists are responsible for querying, cleaning and presenting data as well as running experiments and answering open questions with detailed analysis or investigation of the data. We enjoy the challenge of tackling tricky questions and effectively communicating (sometimes ambiguous) results with the team. Some example inquiries:\n\n\n* How long does it take a typical user to complete a practice task on the learning dashboard? What factors correlate with higher rates of task completion?\n\n* Which videos/exercises on the site are correlated with increased engagement/learning and why?\n\n* Are there specific interventions (e.g. 'Growth Mindset' messages or moral support) that can increase achievement on the site?\n\n* Can we infer a user's intended goal on the site within their first few clicks, and subsequently measure how well we met that goal?\n\n\n\n\nWE USE\n\n\n* Python, R, Amazon AWS, App Engine/BigQuery, JavaScript, and anything else that best solves the problem at hand\n\n* We're not religious about using a specific technology. We're religious about providing an incredible experience for Khan Academy learners\n\n* Cutting edge research from the psychology, education, and cognitive science to to guide our experiments and form our hypotheses\n\n\n\n\nYOU NEED\n\n\n* To be completely comfortable with both the statistical analysis of large data sets and any scripting languages or statistical packages that may require\n\n* Basic knowledge of algorithms in any programming language. Python is preferred but not required\n\n* Passion for whatever techniques and technology you've used in the past\n\n* Solid command of basic statistics and a strong quantitative aptitude. Machine learning and advanced stats not required, but it sure doesn't hurt\n\n* Pragmatism and demonstrated skill at turning data into action\n\n* A passion for data and desire to change the world\n\n* US, Canadian, Australian, or Mexican citizenship, US Residency, or other authorization to work in the US\n\n\n\n\nWE OFFER THE FOLLOWING BENEFITS\n\nWe may be a non-profit, but we reward our talented team well!\n\n\n* Highly competitive salaries and annual bonuses\n\n* Ample paid time off as needed – we are about getting things done, not face time\n\n* Delicious catered lunch daily plus tons of snacks and beverages\n\n* The opportunity to work on high-impact software and programs that are already defining the future of education\n\n* Great location: walking distance to Caltrain and downtown Mountain View\n\n* Awesome team events and weekly board game nights\n\n* The ability to improve real lives\n\n* A fun, high-caliber team that trusts you and gives you the freedom to be brilliant – we treat new hires more like co-founders\n\n* Oh, and we offer all those other typical benefits as well: 401(k) + 4% matching & comprehensive insurance including medical, dental, vision, and life\n\n\n\n\nHOW TO APPLY\n\nAlong with your resume, please include:\n\n1) Links to any projects (we really like these). We especially like living, breathing projects; please do not send your code\n\n2) A cover letter that includes why you want to join Khan Academy\n\nLEARN MORE\n\n\n* KA Data Science blog: http://data.khanacademy.org/\n\n* Sal’s TED talk: http://www.ted.com/talks/salman_khan_let_s_use_video_to_reinvent_education.html\n\n* Our team: http://www.khanacademy.org/about/the-team\n\n* You Can Learn Anything: https://www.khanacademy.org/youcanlearnanything\n\n* Sal’s Interview with BBC: http://www.bbc.co.uk/programmes/b04hytg6\n\n\n\n\nWe are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or Veteran status. \n\n#Salary and compensation\n No salary data published by company so we estimated salary based on similar jobs related to Teaching, JavaScript, Education, Python, Data Science, Medical, Non Tech and Amazon 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