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Arc helps you hire senior Data Science developers in Los Angeles. With 350,000+ software vetted programmers in Los Angeles available for hire on a full-time basis, we have one of the largest network of vetted talent. Our vetting process ensure you hire senior Data Science developers and experts in Los Angeles that you can trust.

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Senior Data Science developers available for hire

Want to expand your Data Science development team in Los Angeles? Here are some of our top remote senior Data Science developers in Los Angeles for you to browse, interview, and hire.

Daniel O. - Data Science developer in Los Angeles
Daniel O.
Senior Data Science developer

IT professional with over 16 years of experience specializing in machine learning, data mining, and predictive analytics. Skilled in managing large-scale datasets—both structured and unstructured—from acquisition to validation, advanced modeling, and visualization. Proven track record in developing and deploying data-driven solutions using a range of machine learning techniques, statistical tools, and cloud technologies. Proficient in Python, R, C++, Go, and PHP, with deep expertise in SAS programming, SQL databases, and NoSQL technologies such as MongoDB and Cassandra. Extensive experience in designing data visualizations with Tableau and Looker to drive strategic decision-making.

hopeman . - Data Science developer in Los Angeles
hopeman .
Senior Data Science developer

I am a Senior Full Stack Developer with experience in enhancing auto ads campaigns for Amazon sellers, improving customer adoption, streamlining support processes, and optimizing application performance.

Rudrakumar P. - Data Science developer in Los Angeles
Rudrakumar P.
Data Science developer

Certified Oracle Cloud Infrastructure 2024 Generative AI Professional with a focus on AI, machine learning, and statistical modeling. Over two years of experience in data science, leading the development of advanced predictive analytics and data pipelines for healthcare and finance sectors. Proficient in designing user-friendly dashboards and performing data segmentation, data processing, and data transformations using Python, R, and SQL contributing to a 25% increase in data-driven decision-making. Expert in driving data-driven decision-making through robust data analytics, identifying emerging trends, and delivering actionable insights. Skilled in KPI development and adept at communicating complex statistical analysis and database architectures to influence product leadership.

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