Top Remote Data & Analytics Jobs in San Francisco Bay Area
The Senior Data Analyst at Integral Ad Science will be responsible for monitoring and uncovering new threats in the digital advertising ecosystem. They will analyze and investigate impression level data, write research reports, and drive publication of noteworthy stories. This role requires strong data analysis and mining experience, as well as expertise in ad tech and familiarity with threat tracking and reporting. Strong SQL and Python skills are required, as well as the ability to synthesize technical information and communicate both qualitatively and quantitatively.
As a Marketing Data Scientist at Cash App, you will optimize marketing efforts, analyze large datasets, and collaborate with cross-functional teams to drive business growth. Responsibilities include building models, designing A/B experiments, and influencing marketing strategies. Qualifications include a bachelor's or graduate degree in statistics or data science, proficiency in SQL and data visualization tools, and experience with scripting languages like Python or R.
Senior ML Engineer role at Grammarly's On-Device ML team, responsible for proposing, designing, and implementing strategic features using machine learning models in an on-device context. Collaborate with core product teams, launch and monitor ML models, and leverage academic research to advance technology.
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Seeking an ML Engineer specializing in constructing and managing robust, scalable, and high-performance compute platforms tailored for ML workflows. Responsibilities include designing core platform backend software components, working on large-scale initiatives, and participating in open source projects.
As a Data Analyst at Doximity, you will leverage extensive datasets to identify behavioral patterns of medical professionals, create analytics for products and clients, and collaborate with cross-functional teams on data projects. Must have at least 2 years of experience, strong SQL skills, proficiency in Python data analysis libraries, and prior exposure to distributed data processing concepts.
As a Manager, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. Responsibilities include developing new skills, resolving issues, coaching others, analysing proposals, using data insights, managing viewpoints, simplifying messages, and upholding ethics.
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The Principal Data Scientist will be the primary analytics partner to the Community & Learning team at Atlassian. They will influence strategy, define KRs, lead high impact projects, and build tools for reporting and insights.
The Business Analyst will focus on Account Management Analytics, partnering with stakeholders to drive progress against organizational and company-wide priorities. Responsibilities include using data to shape program design and strategy, setting performance targets, evaluating strategies, and driving financial analysis.
The Business Intelligence Analyst at Check will be responsible for developing and maintaining data models, extracting insights from data, and collaborating with various stakeholders to drive business impact through data-driven decision-making. The role involves working with key financial and business metrics, maintaining analytics infrastructure, and partnering with teams across the company.
Lead Machine Learning Engineer role at GoodRx, responsible for developing and implementing analytical capabilities, building machine learning models, and overseeing technology projects. Requires 7+ years of experience and a Master's degree in a related field.
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