Top Remote Data Science Jobs in Los Angeles, CA
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.
Designs, develops, and programs methods, processes, and systems to analyze and generate insights from big data sources. Works with product and service teams to identify questions and issues for data analysis. Develops software programs and algorithms to evaluate large datasets. Interprets and communicates insights and findings to managers.
Partner with business leaders to address challenges using predictive analytics, improve data quality, align analysis efforts with business strategy, implement statistical and machine learning models, spot trends, and mentor the team.
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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.
Partner with Cash App Health org to analyze large datasets, conduct A/B experiments, forecast metrics, and communicate insights with cross-functional teams.
Lead the development of Large Language Models for Enterprise Language Generation at ServiceNow. Collaborate with engineering and product teams to incorporate AI technologies into the company's roadmap. Architect elegant and reusable components for AI solutions. Champion AI strategies and industry trends to company leaders.
Senior Data Scientist role in the marketing team, focusing on optimizing marketing campaigns, measuring performance, and driving key business decisions using analytics techniques. Responsibilities include developing quantitative models, analyzing customer behavior, and collaborating with cross-functional teams. Requires a quantitative degree and 5+ years of experience in analytics and marketing.
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.
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.
Processing, cleansing, and analyzing data to extract insights, building classifiers using machine learning techniques, and collaborating with stakeholders to provide data-driven solutions. Bachelor's degree in Data Analytics or related field and 5 years of experience as a Data Scientist required.
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