Top Data Science Jobs in San Francisco, CA
The Lead Data Scientist will drive growth through data science by analyzing user behavior, creating attribution models, and developing marketing experiment frameworks. Responsibilities include informing acquisition strategies, building dashboards for monitoring trends, and mentoring junior data scientists.
As a Senior Principal Data Scientist, you will leverage quantitative analysis and data science techniques to drive insights into product engagement at Atlassian. Collaborating with cross-functional teams, you will develop strategies, define opportunities, measure product success, and communicate findings to influence business decisions.
The Lead Data Scientist at GoodRx will oversee data science projects related to pricing and incentives, mentor peers, and implement advanced forecasting and optimization systems. This role requires a background in machine learning and statistical modeling to enhance pricing strategies that impact customers and partners.
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As a Senior Data Scientist at Snap Inc, you'll leverage your expertise in quantitative analysis and data modeling to derive actionable insights and optimize product development. Collaborating cross-functionally with product managers, engineers, and designers, you'll conduct statistical analyses and build predictive models to drive informed decision-making. This role involves crafting metrics and dashboards to communicate insights effectively and initiating projects aimed at discovering new opportunities within the company's data framework.
As a Senior Data Scientist in the Risk & Fraud organization at Cash App, you will partner with various teams to analyze large datasets, derive actionable insights, design A/B experiments, and drive strategic decisions using data science techniques. You will be responsible for monitoring key metrics, building and reporting on datasets, and communicating findings to stakeholders. The role requires a sense of urgency and a focus on customer experience impact.
The role entails using data and technology to enhance marketing operations by generating insights. Responsibilities include data analysis using SQL and Python, building revenue optimization models, aligning marketing planning with corporate strategy, and defining KPIs for performance measurement.
Conduct end-to-end research, develop ML models, build prototype applications, analyze trading data, drive complex projects, and assist in analytical investigations. Requires expertise in Python, PySpark, Deep Learning, Machine Learning, and financial products such as equities, bonds, or commodities.
As a Data Scientist at Attain, you will develop and apply machine learning approaches for Ad-Tech products, lead the design of machine learning services, collaborate with various teams, and contribute to the data science roadmap. You will also work on developing advanced models to drive strategic investment decisions.
The Data Scientist role involves partnering with Product Engineering teams to improve live streaming content discovery and product listings. Responsibilities include developing KPIs, creating dashboards, analyzing marketplace trends, and guiding experimentation practices to influence feature rollouts.
As an Applied AI Scientist at ZS, you will develop advanced algorithms, execute statistical techniques on large datasets, evaluate emerging technologies, and contribute to the firm's thought leadership by researching and publishing on evolving topics.
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