Top Data Science Jobs in Los Angeles, CA
The Data Scientist will collect data, apply analytical and statistical methods to extract insights, and create visualizations for stakeholders. The role requires working with various data tools and managing data warehouses to ensure effective data integration and analysis.
As a Data Scientist at LeaseLock, you'll develop machine learning models to predict property risk, deliver data-driven strategies, and ensure data consistency for enhanced analytics. You will work independently on impactful projects that align with business needs.
The Data Scientist will design and deliver Customer Experience solutions by utilizing machine learning techniques and data analysis to solve business problems and automate processes. Responsibilities include extracting insights from customer data, implementing ML algorithms, and conducting data analysis.
Conduct high-level research on forest carbon dynamics, lead projects for enhancing carbon storage, analyze data using statistical and GIS tools, collaborate with stakeholders for conservation strategies, write grant proposals and reports, lead field teams in data collection, engage with carbon market stakeholders
As a Staff Data Scientist at SentiLink, you will be responsible for building fraud detection models, researching new fraud types, and developing products for financial risk. This role requires strong technical abilities, model development skills, and the ability to work across teams to inform sales and marketing initiatives.
As a Lead Data Scientist, you will identify opportunities for applying data science and machine learning techniques to enhance marketing, products, and processes. Collaborating with various teams, you'll drive projects related to marketing optimization and customer data analysis, while mentoring the data science team.
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The Senior Credit Analyst will develop pricing models for sustainable growth, create customer risk profiles, perform credit risk analysis, and collaborate with cross-functional teams to guide lending strategies and insights. They will also track key performance indicators and support model development with the Data Science team.
As a Senior Credit Analyst at Step, you will build pricing models, implement data tracking for KPIs, collaborate on lending strategies, and create customer risk profiles, all while working closely with Data Science to optimize profitability through credit policies and analysis.
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The Data Scientist will lead the growth of data science capabilities, drive statistical modeling, optimize user classification systems, create lead scoring models, and collaborate with engineers and product managers to turn insights into automated services.
As a Senior Causal Inference Data Scientist at Discord, you will provide statistical expertise in the rebuilding of the experimentation platform, collaborate with engineering and product teams to enhance experimentation reliability, and educate cross-functional teams on causal inference methodologies. You will also lead causal inference research and empower the wider Data Science team.
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