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Top Data & Analytics Jobs in Los Angeles, CA

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8 Days Ago
Los Angeles, CA
Remote
39 Employees
110K-140K Annually
Entry level
39 Employees
110K-140K Annually
Entry level
Software
Research and develop color perception algorithms and computer vision for camera and AR applications, work on imaging technology for camera capture and augmented reality experiences, collaborate with cross-functional teams, and provide leadership for new project development.
8 Days Ago
Los Angeles, CA
Remote
59 Employees
Junior
59 Employees
Junior
Energy
As a Data Scientist with EverBright, you will develop machine learning models, analyze data quality, and optimize VPP dispatch. You will also work with distributed computing platforms and contribute code to product development teams.
8 Days Ago
Los Angeles, CA
Remote
190 Employees
Senior level
190 Employees
Senior level
Sales • Software
As a Senior Analytics Engineer at Apollo.io, you will design and maintain data models, implement data engineering standards, and collaborate cross-functionally to deliver scalable data solutions. You will influence analytics infrastructure and provide strategic insights for business decision-making.
8 Days Ago
Los Angeles, CA
Remote
284 Employees
Senior level
284 Employees
Senior level
Healthtech
The Senior Analyst will lead research study design, apply advanced statistical methods for survey and data analysis, mentor junior analysts, consult with clients on analytic solutions, and support business development initiatives. Responsibilities include project management, effective communication of findings, and overseeing data collection and evaluation efforts.
Top Benefits:
401-K
Health Insurance
Remote Work Program
8 Days Ago
Los Angeles, CA
Remote
732 Employees
160K-185K Annually
Senior level
732 Employees
160K-185K Annually
Senior level
Beauty • eCommerce • Healthtech • Retail • Telehealth
As a Senior Data Engineer at Hims & Hers, you will design and develop scalable data pipelines, optimize performance and data quality, and build infrastructure for data extraction and loading. You will collaborate with various teams to ensure data reliability, support analytics tools, and help deploy machine learning models while maintaining best practices in data management and compliance.
8 Days Ago
Los Angeles, CA
Remote
Mid level
Mid level
Software • Analytics • PropTech
The Senior Financial Data Analyst will create and analyze financial statements, partner with operations to improve understanding of earnings, identify challenges and opportunities in branch financials, develop processes for financial data analysis, and design dashboards for better financial insights.
9 Days Ago
Los Angeles, CA
Remote
52 Employees
Mid level
52 Employees
Mid level
Software
As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.
9 Days Ago
Los Angeles, CA
Remote
424 Employees
Senior level
424 Employees
Senior level
Software
As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.
9 Days Ago
Los Angeles, CA
Remote
123 Employees
121K-169K Annually
Senior level
123 Employees
121K-169K Annually
Senior level
Fintech • Payments • Software • Financial Services
The Lead Credit Analyst will conduct trend and portfolio analysis, optimize underwriting and credit decision-making, and collaborate with Analytics and Data Science teams. This role involves mentoring team members and promoting a data-driven culture.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+19 More
9 Days Ago
Los Angeles, CA
Remote
157 Employees
Junior
157 Employees
Junior
Agency • Machine Learning • Software • Design
The Data Scientist will work on custom software and machine learning solutions, contribute to alignment research and develop classification methods. Responsibilities include managing data science projects, employing statistical methods, using NLP, and collaborating in Agile environments while maintaining strong self-management skills.
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