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Machine Learning Data Scientist

Role overview

Qualifications

  • 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
  • Strong foundation in statistics and mathematics (regression, probability, linear algebra)

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

About the company

Inabia Solutions and Consulting, Inc. logo

Inabia Solutions and Consulting, Inc.

IT Services & IT Consulting

WHOFounded 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.WHATFor 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.HOWWe 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.WHYWe 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.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size51 - 200

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Job description

  • 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)

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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