Top Remote Principal Data Scientist Jobs in Boston, MA
The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy, define department-level goals, lead high impact projects, and foster a world-class Data Science culture.
Collaborate on product and business problems, apply quantitative analysis, develop strategies, shape product development, and communicate insights using data.
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A Principal Data Science and Machine Learning Engineer responsible for developing robust machine learning algorithms and recommendation systems, transforming data streams, and collaborating with team members to enhance user experiences and metrics.
The Senior Data Scientist at Cash App will be responsible for analyzing large datasets, deriving valuable insights, and working closely with operations to enhance customer experience. This role involves statistical modeling, A/B testing, data visualization, and communicating findings to stakeholders.
As a Senior Data Scientist in the Health organization at Cash App, you will partner with various teams to analyze large datasets, derive insights, design experiments, and drive strategic decisions. You will be responsible for building and maintaining trust with users through data-driven initiatives.
Join Jellyfish Research as a Data Scientist to facilitate data-informed decision-making, collaborate with teams, build algorithms, and work on data platforms and pipelines. Exciting opportunity in a fast-growing business environment led by experienced entrepreneurs.
Flipside Crypto is seeking a Data Scientist to build with us and our community. Come help Flipside create the best possible web3 data products, and contribute to our tools, research, and IP as part of our mission to help blockchains achieve their full potential.
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis with strategic goals, and define and implement statistical and machine learning models. Collaborate with cross-functional teams and mentor data scientist team.
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Join Square as a Data Scientist to improve risk controls and prevent fraud for sellers. Lead experiments, develop data pipelines, implement machine learning solutions, and influence product roadmaps.
The Staff, Data Scientist will partner with engineering and product teams to analyze user behaviors, optimize product performance, and drive business growth through data-driven insights. Responsibilities include deep data analysis, experimentation design, segmentation strategies, trend identification, and collaborating with cross-functional teams. A Bachelor's or above in a quantitative discipline and 8-10+ years of analytics experience are required.
As a Senior Data Scientist at Square Banking, you will shape and execute strategies to expand credit eligibility, enhance loan gross profit, and improve banking user experience globally. Responsibilities include influencing product roadmap, leading A/B testing, and designing business metrics for success.
As a Senior Data Scientist at Square Banking, you will be responsible for shaping and executing strategies to expand credit eligibility, enhance loan profit, and improve the banking user experience on a global scale. Responsibilities include partnering with cross-functional teams, leading A/B testing, and designing business metrics for success.
Looking for a Data Scientist with a product and end-user focus to join a cross-functional product development team at Jellyfish. Responsibilities include collaborating with product managers, designing and building innovative experiences, developing algorithms, and measuring impact. Requirements include a product mindset, strong Python and SQL skills, and experience in data science.
The successful candidate will leverage their data science background to drive compliance monitoring data analytics initiatives.
Seeking a Senior Data Scientist to work with a team of analysts, data scientists, and engineers. Responsibilities include leveraging data mining technologies, developing predictive models, and providing insights for Cloud and Infrastructure strategy using AI and Machine Learning.
Join Cash App as a Data Science Lead for the Commerce team, focusing on programmatic ads business. Responsible for optimizing marketing efforts, analyzing datasets, building models, and facilitating decision-making for key business initiatives. Collaborate with Product and Sales teams to drive growth.
Senior Data Scientist responsible for developing algorithms, building ETL pipelines, collaborating with teams, defining technical requirements, establishing performance metrics, and communicating insights. Requires 5+ years of experience in data science and proficiency in SQL, Python, and TensorFlow.
As an Analytics Engineer at **first** hand, you will build data modeling solutions, develop data models and schemas for analysis, collaborate with stakeholders, help build data-driven processes, and enable teams to self-serve data analytics needs. You should have experience with clinical medical records, data modeling, and SQL. This is an opportunity to make a massive impact on foundational technology and shape the culture of a data-driven organization.
As a Principal Data Scientist, you will drive the experimentation practices and analyses, collaborating with business, engineering, and analytics teams, to enable trustworthy decisions at scale.
Design and implement solutions to address complex business questions using statistical methods and machine learning. Contribute to data solutions, supervise performance tracking, and advise junior team members. Balance scientific validity and business practicality in your work.
Design and lead implementation of new data systems, create data pipelines, collaborate with engineering teams, work on ML platforms, and optimize data infrastructure. Requires 7+ years of experience in data engineering, real-time data products, and production ML systems.
Join our team as a Senior Data Scientist focusing on fraud risk at Square. You will lead risk detection strategies, develop data pipelines, and influence the global Risk roadmap through data-driven solutions and machine learning tools.
An Analytics Engineer responsible for providing clean data sets to end users, modeling data to empower teams to answer their own questions. Responsibilities include enabling team members, curating metrics, creating datasets and dashboards, establishing analytics standards, and identifying and transforming suboptimal data. Required expertise in SQL, Python, Tableau, data warehousing architecture, and data modeling standards.
Design, build, and maintain research data platforms and pipelines for analytics and data science. Collaborate with data scientists to acquire and aggregate data at scale. Develop tools to monitor platform health and performance. Foster environment for data scientists to facilitate learning. Perform data analyses and exploration as needed.
Join the TIDAL Data Science & Analytics team to shape the future of streaming and artist products. Use expertise in product analytics, statistical modeling, and experimentation to drive data-driven decision-making. Remote-friendly role based in the United States Eastern Time Zone.
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