Senior Data Scientist

Posted 2ds ago

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Job Description

Senior Data Scientist at Apogee Global RMS designing and deploying machine learning solutions. Collaborating with teams to support product innovation and strategic decision-making.

Responsibilities:

  • Build and optimize machine learning models and statistical algorithms.
  • Analyze large, structured and unstructured datasets to identify trends and insights.
  • Develop dashboards, visualizations, and automated reporting tools.
  • Partner with engineering, product, and business teams to integrate data‑driven insights into strategy.
  • Validate model performance and ensure data quality, accuracy, and reliability.
  • Communicate findings clearly to technical and non‑technical stakeholders.
  • Support ongoing AI/ML initiatives across the organization.

Requirements:

  • Bachelor’s or Master’s in Data Science, Computer Science, Statistics, Mathematics, or related field.
  • 3+ years of experience in data science, machine learning, or advanced analytics.
  • Strong proficiency in Python, R, SQL, and ML libraries (Scikit‑learn, TensorFlow, PyTorch).
  • Experience with data visualization tools (Tableau, Power BI, Looker, or similar).
  • Solid understanding of statistical modeling, predictive analytics, and data engineering concepts.
  • Ability to translate complex data into clear, actionable insights.
  • Strong communication and problem‑solving skills.
  • **Preferred Experience:**
  • Experience working in technology, SaaS, or data‑driven environments.
  • Familiarity with cloud platforms (AWS, Azure, GCP).
  • Exposure to NLP, LLMs, or generative AI.
  • Experience with MLOps tools and model deployment workflows.
  • Background working with sensitive or regulated data (nice to have).

Benefits:

  • **Why Choose Apogee: **
  • Opportunity to work on high‑impact, data‑driven projects.
  • Collaborative, innovative team environment.
  • Flexible remote work options.
  • Professional growth in AI/ML and advanced analytics.
  • Competitive compensation based on experience.