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Data ScientistDiverse Lynx • United States
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Data Scientist

Diverse Lynx
  • US
    United States
  • US
    United States
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À propos

Requirements: Prescriptive & Predictive Modeling Design, build, and deploy predictive and prescriptive models to solve real-world business problems (forecasting, optimization, recommendation systems, risk modeling, etc.). Analyze large, complex datasets to uncover trends, patterns, and opportunities for automation and decision support. Collaborate with cross-functional teams (product, engineering, analytics, and business leaders) to define modeling objectives and success metrics. Develop end-to-end modeling pipelines, from data exploration and feature engineering to model validation and deployment. Evaluate and improve model performance using appropriate statistical and machine learning techniques. Translate model outputs into clear, actionable insights for technical and non-technical stakeholders. Document methodologies, assumptions, and results to support transparency and reproducibility. What We're Looking For
Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or a related field. Hands-on experience building predictive and prescriptive models in a production environment. Strong proficiency in Python or R and experience with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Solid foundation in statistics, probability, optimization, and machine learning algorithms. Experience working with SQL and large-scale data environments (cloud platforms, data warehouses, or big data tools). Ability to clearly communicate complex analytical concepts to business partners. Experience deploying models into production (APIs, batch scoring, MLOps) is a strong plus
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
  • United States

Compétences linguistiques

  • English
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