Build and optimize machine learning models, analyze structured and unstructured data, perform feature engineering and evaluation, and identify insights for business decisions. Create dashboards and data visualizations, communicate findings to technical and non-technical stakeholders, improve data quality, and maintain data integrity and confidentiality in regulated healthcare-related environments.
- Job Title : Machine Learning Data Scientist
- Client: CCS Medical
- Work: 100% Remote
- Duration: 6-month contract-to-hire
- Work Authorization: GC or USC only
- Location: Remote (EST hours)
- Engagement Type: Contract-to-hire
KEY RESPONSIBILITIES
- Extract, clean, and analyze large structured and unstructured datasets
- Design, build, and optimize machine learning models and predictive systems
- Perform feature engineering, data preprocessing, and model evaluation
- Identify patterns, trends, and opportunities within data to drive business decisions
- Develop data stories and present insights to technical and non-technical stakeholders
- Build dashboards and visualizations (Power BI, Tableau, etc.)
- Collaborate cross-functionally with Analytics, Operations, Marketing, and IT
- Enhance data collection processes to improve data quality and usability
- Ensure data integrity, compliance, and confidentiality (HIPAA, Medicare/Medicaid, etc.)
- Bachelor's degree in Computer Science, Information Systems, or related field (or equivalent experience)
- 5+ years of experience in data science, analytics, or machine learning
- Strong proficiency in Python or R, and SQL
- Experience building ML models (classification, regression, clustering)
- Strong foundation in statistics and mathematics (regression, probability, linear algebra)
- Hands-on experience with data visualization tools (Power BI, Tableau, matplotlib, etc.)
- Strong communication skills and proven ability to solve business problems with data
- Preferred: big data tools (Hive, Pig, Spark); Scala, Java, or C++; experience in regulated industries (healthcare, insurance)
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What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
