Top Data & Analytics Jobs in Los Angeles, CA
The Data Scientist will apply expertise in quantitative analysis and statistical modeling to deliver actionable insights that inform product and business decisions. Responsibilities include collaborating across teams, identifying product trends, tracking core metrics, and developing visual reports to communicate findings.
The Senior Data Scientist will apply quantitative analysis, data mining, and statistical modeling to generate actionable insights for product decisions. They will collaborate with cross-functional teams, drive project completion, and communicate analysis in clear and actionable terms. Key tasks include conducting machine learning analyses and tracking product performance metrics.
Snap Inc is looking for a Data Scientist to apply quantitative analysis, data mining, and statistical modeling to deliver impactful data insights for informed business decisions. Responsibilities include driving decision-making, analyzing product performance, and collaborating with cross-functional teams.
The Modeling and Simulation Analyst will work on modeling, simulation, and analysis projects for space, air, and ground-based systems, focusing on AFSIM. Responsibilities include collaborating with teams, performing technical analyses, and delivering presentations and reports.
As a Compensation Analyst, you will analyze compensation data, maintain databases, support compensation modeling, and partner with recruiters for competitive compensation offers. You'll implement compensation policies and develop communication materials.
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The Lead Data Scientist will develop machine learning models, conduct statistical analyses, and visualize insights from user behavioral data. This role involves close collaboration with business stakeholders and other data teams to inform decision-making and optimize product offerings.
As a Senior Data Engineer, you will build and scale data systems to process petabytes of data, manage the ETL and data warehousing processes, mentor team members, and collaborate with various stakeholders to create effective data solutions.
The SAP Application Support Analyst 2 role involves supporting SAP applications, troubleshooting customer inquiries, and coordinating solutions. Responsibilities include analyzing SAP data, implementing and documenting applications, and using FI/CO customization transactions. The analyst will work collaboratively with customers and technical staff to resolve issues and may oversee and train junior analysts.
The Analyst, Retail Strategy will oversee pricing, promotion, and product lifecycle strategies for both digital and physical transactional businesses. Responsibilities include implementing pricing strategies, monitoring compliance, assisting with product rationalization, managing sales communications, maintaining schedules, and reviewing royalty statements.
As a Lead Data Scientist, analyze search engine marketing data, develop analytical dashboards, and utilize machine learning techniques to extract insights. Collaborate with teams, mentor junior analysts, and stay updated on industry trends.
As a Data Engineer I, you will design, implement, and maintain data infrastructure, focusing on ETL pipelines and real-time data analytics. Collaborating with product teams, you'll work on data ingestion, optimize operations, support and enhance data pipelines, and generate reports. You'll also participate in code reviews and technology discussions to uphold best practices.
The Computational RF Scientist will be responsible for designing and validating broadband assemblies for quantum-dot-based spin qubit systems. This role involves advanced measurement techniques, simulation method development, and collaboration with domain experts in various areas of engineering and physics to enhance quantum systems' performance.
Top Companies in Los Angeles, CA Hiring Data + Analytics Roles
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