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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Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
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