Top Senior Data Scientist Jobs in Los Angeles, CA
As a Senior Data Scientist at Square on the Food & Beverage team, you will use data to empower data-driven decision-making in product development and ensure cohesive customer experiences. Responsibilities include partnering with product teams, building metrics, implementing product event logs, applying analytics and machine learning, prioritizing tasks, communicating findings to executives, and developing resources for data access.
As a Senior Data Scientist at Warner Bros. Discovery, you will design, build, and improve data science and machine learning models to inform partners and leadership about content and marketing performance. You will work with various teams, extract and analyze data, and present findings to stakeholders.
Join Cash App as a Senior Data Scientist in the Support organization. Use SQL, Python, and R to analyze large datasets, drive insights, and improve customer support experiences. Collaborate with cross-functional teams, design A/B experiments, and build data visualizations to drive strategy and decision-making. Requires 5+ years of experience in statistics, data science, or a related field.
Join Square as a Senior Data Scientist in Payment Risk to improve risk controls, prevent fraud, and impact key success metrics through statistical and analytical techniques. Lead experiments, develop data pipelines, and collaborate with cross-functional teams to drive data-driven solutions.
Use data engineering, business intelligence, analytics, statistics, and machine learning to empower data-driven decision-making in the full lifecycle of product development for Food & Beverage sellers at Square.
Join Square as a Senior Data Scientist in Payment Risk. Improve risk controls, manage metrics, advise stakeholders, and develop processes to identify and prevent fraud. Collaborate with cross-functional teams, build data pipelines, and implement machine learning solutions. Influence product roadmaps and present to Square's leadership.
As a Senior Data Scientist at Square Banking, you will partner with cross-functional stakeholders to shape and execute strategies for expanding credit eligibility, enhancing loan profit, and improving user experience on a global scale. Responsibilities include influencing product roadmap, leading A/B testing, and designing business metrics for success. Required qualifications include 5+ years of experience in Data Science, familiarity with product data science, and proficiency in SQL, Looker, and Python.
As a Senior Data Scientist at Square Banking, you will partner with cross functional teams to shape and execute strategies that expand credit eligibility, enhance loan gross profit, and improve banking user experience globally. Responsibilities include influencing product roadmap, leading A/B testings, and designing business metrics for measuring lending products success.
Featured Jobs
The Senior Data Scientist at Sensor Tower will leverage digital advertising and industry knowledge to drive strategies that improve the accuracy and offerings for our Digital Marketing insights solution. The role involves developing data modeling algorithms, working on AI projects, and acting as a subject matter expert for digital advertising.
Senior Data Scientist at Sensor Tower leveraging digital advertising and industry knowledge to drive strategies improving accuracy and offerings for Digital Marketing insights solution. Responsible for developing data modeling algorithms, consulting on AI use, and acting as digital advertising expert.
Conduct in-depth data analysis, collaborate with cross-functional teams, develop and oversee autonomous vehicle data infrastructure, lead technical investigations, and design customer-facing products for autonomous vehicle platforms.
Seeking a Senior Data Scientist to join the Cloud Capacity Analytics team at ServiceNow. Responsibilities include delivering effective Cloud Analytics, collaborating with capacity planners, and analyzing demand and supply dynamics for forecasting infrastructure for artificial intelligence.
Senior Data Scientist role at The Walt Disney Company Direct to Consumer's Data Science team. Responsible for developing machine learning models, conducting statistical analysis, analyzing user data, and providing insights to influence user experiences. Collaborate with cross-functional teams to optimize engagement and content affinity.
Develop models, statistical analyses, and machine learning algorithms to predict marketing outcomes. Provide analytical support for marketing and advertising campaigns. Mentor junior data scientists and drive best practices in marketing research.
Join Square as a Senior Data Scientist in the Fraud Risk team. Responsibilities include building processes to detect high-risk activity, managing top-level Risk KPIs, developing machine learning solutions, and collaborating with cross-functional teams to influence risk strategies and business growth. Requires 5+ years of experience, proficiency in SQL, Python, and Looker, and a technical background in Statistics, Mathematics, or Computer Science.
Partner with Cash App Health org to analyze large datasets, conduct A/B experiments, forecast metrics, and communicate insights with cross-functional teams.
Join Square as a Senior Data Scientist in Fraud Risk, responsible for identifying and preventing fraud and credit risks using analytical skills and machine learning solutions. Partner with various teams to influence global Risk roadmap, develop data pipelines, and impact Banking initiatives.
Data Scientist role within the Sales and Account Management domain at Cash App, responsible for analyzing large datasets, developing models, forecasts, and reports to drive merchant acquisition, retention, growth, and profitability goals. Partnering with various teams, conducting A/B experiments, building metrics, and sharing data visualizations.
Seeking a Senior Data Scientist to partner with revenue, marketing, and product teams to optimize marketing campaigns, analyze user behaviors, and boost business growth through data-driven insights. Responsibilities include developing predictive models, conducting analysis on large datasets, and collaborating with cross-functional teams. Bachelors’ degree in quantitative discipline and 5+ years of analytics experience required.
Join Cash App's Data Science team as a Staff Data Scientist focusing on programmatic ads lead. Build models, analyze data, optimize marketing efforts, and collaborate with cross-functional teams to drive strategic decisions. Use SQL and scripting languages to extract insights and drive business growth through data-driven strategies.
Join Warner Bros. Discovery as a Data Scientist II to support the Max marketing teams in understanding the impact of marketing on sales, profitability, and brand equity. Develop and maintain market mix models, analyze media spend performances, and optimize media spend to maximize subscriber growth and revenue. Must have expertise in SQL, R, Python, and Databricks with 3+ years of experience in data science and statistical modeling.
Seeking a Staff, Data Scientist to partner with engineering and product teams in analyzing user behaviors, developing segmentation strategies, and deriving insights from customer behavior data sets. Requires a quantitative discipline degree and 8-10+ years of analytics experience driving key business decisions.
The Data Scientist role at PwC entails collecting domain context, defining hypothesis and prediction tasks, conducting experiments with various algorithms, creating models for predictions, and communicating insights with stakeholders. The role also involves developing expertise in technology, advising stakeholders, and navigating global teams and engagements.
Lead centralized Data functions at Square, including Data Science, Analytics, Machine Learning, and Data Engineering teams. Develop and implement Square's Data strategy to drive business performance and innovation. Build and maintain a top-tier data team to meet evolving data demands.
Ontra is hiring a Senior Manager of Data Science to develop a high-performing team, drive growth using data insights, and solve complex business problems through analytics. The ideal candidate will have experience in managing data teams, driving measurable impact, and fluency in Python and SQL with a passion for NLP.
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