Machine Learning Data Scientist

Posted Yesterday
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Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Internet of Things • Software
The Role
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.
Summary Generated by Built In
  • 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.)
REQUIREMENTS / MUST-HAVES
  • 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)

Skills Required

  • Bachelor’s degree in Computer Science, Information Systems, or a 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 classification, regression, and clustering machine learning models
  • Strong foundation in statistics and mathematics, including regression, probability, and linear algebra
  • Hands-on experience with Power BI, Tableau, Matplotlib, or similar data visualization tools
  • Strong communication skills and ability to solve business problems with data
  • Green Card or United States citizenship work authorization
  • Experience with big data tools such as Hive, Pig, or Spark
  • Experience with Scala, Java, or C++
  • Experience in regulated industries such as healthcare or insurance
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The Company
HQ: Redmond, WA
52 Employees
Year Founded: 2006

What We Do

WHO Founded in 2006 and headquartered in Redmond, WA. Our Senior Leadership team has more than 137 years of combined experience in the Telecommunications and Software Industry. Inabia is built on family values and close-knit culture. This commitment extends to the relationships we build with both our employees and our business partnerships. As a Minority Certified business, we strive to positively impact society through technology, people, and innovation. WHAT For over a decade, we have been providing powerful IT and business solutions to individuals and businesses alike. Here at Inabia, we believe that our success reflects our clients’ success. HOW We are fortunate to be situated in a city where technology and innovation is not only appreciated; but part of day to day lives. We are a growing company that has adapted and evolved our approach, helping us to exceed the ever-changing needs and requirements of our clients. WHY We are a company that fosters and values relationships, as a result many of our clients have been with us from the start of our journey. We ensure that our partners have access to best-in-class professional support, management consulting and staffing services. We make sure our consultants are carefully screened and selected based on their experience. This process ensures that we meet or exceed the specific needs of our clients.

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