Senior Data Scientist

Apogee Global RMS is looking for a Senior Data Scientist who can turn complex data into actionable intelligence. This person will design, develop, and deploy predictive models, machine learning solutions, and analytical frameworks that support product innovation and strategic decision‑making. This role is ideal for someone who thrives in a collaborative environment and enjoys solving complex problems with data.

• 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.

• 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, Tensor Flow, 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.

• 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).

• 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.