Solution Architect, Data Science

Primary Responsibilities:

• Define clear business-value metrics (e.g., ROI, revenue impact, cost reduction) alongside technical performance targets.
• Lead technical scoping, feasibility assessments, and solution design for proposals, Statements of Work, and client pitches.
• Design scalable, secure, and maintainable end-to-end ML pipelines, spanning data analysis, feature engineering, model training, deployment, and MLOps.

Ideal Candidate Skills and Experiences:

• B.S. or M.S. in Computer Science, Engineering, Economics, or a related quantitative field with 7+ years of experience in Data Science & AI/ML.
• Proven track record designing and implementing modern data science solutions in areas like forecasting, anomaly detection, or recommendation systems.
• Expert knowledge of Python and SQL with strong hands-on experience on Databricks.

What We Promise You:

• Meaningful, cutting-edge projects in Generative AI with clients across industries—from Fortune 100 firms to disruptive startups.
• Rapid learning and mentorship opportunities with AI/GenAI thought leaders and practitioners.
• A culture of experimentation, innovation, and continuous improvement.