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V2Soft
Data Science and Machine Learning EngineerV2Soft • Dearborn, MI
Data Science and Machine Learning Engineer

Data Science and Machine Learning Engineer

V2Soft • Dearborn, MI
Hace más de 30 días
Tipo de contrato
  • A tiempo completo
Descripción del trabajo
VSoft is a global leader in IT services and business solutions, delivering innovative and cost-effective technology solutions worldwide since . We have headquarteerd in Bloomfiled Hills, MI and have offices spread across six countries. We partner with Fortune companies to address complex business challenges. Our services span AI, IT staffing, cloud computing, engineering, mobility, testing, and more. Certified with CMMI Level and ISO standards, VSoft is committed to quality and security. Beyond our work, we actively support local communities and non-profits, reflecting our core values. Join us to be part of a dynamic and impactful global company!
Please visit us at ; to know more .




About the Role
The Global Data, Insight & Analytics (GDIA) organization at Client is seeking a Data Scientist to develop advanced analytics products that drive vehicle content strategy decisions. This role sits within the Marketing Analytics team and focuses on applying machine learning, artificial intelligence, statistical modeling, and mathematical optimization to high-impact business problems.
The Data Scientist will design, develop, and deploy analytical solutions that support strategic decision-making across North American vehicle programs. This role requires strong quantitative expertise, advanced Python skills, and experience working in cloud-based data environments, particularly Google Cloud Platform (GCP). Required Qualifications
  • Master’s degree or higher in Data Science, Statistics, Economics, Engineering, Mathematics, Operations Research, or a related quantitative field.
  • + years of experience in advanced analytics, including machine learning, mathematical optimization, statistical modeling, econometrics, or AI.
  • + year of experience working with large datasets in cloud-based environments (, GCP).
  • Strong proficiency in Python for analytical workflows.
  • Ability to communicate complex analytical concepts to business and product stakeholders.
Preferred Qualifications
  • PhD in a quantitative discipline.
  • Experience deploying machine learning or advanced analytics models into production systems.
  • Familiarity with AI-assisted analytics approaches (, scenario exploration, search space optimization).
  • Experience in Agile or product-driven environments.
  • Hands-on experience with Google Cloud Platform.
  • Strong interpersonal and communication skills with the ability to simplify complex topics for leadership audiences.


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Data Science and Machine Learning Engineer • Dearborn, MI

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