Senior Data Scientist: Lead ML Strategy & Production

Agility Partners; Ohio; On-site; USD 120,000 - 180,000; Full time

Job summary

Agility Partners is seeking a Senior Data Scientist for a prominent financial services client in the United States. You will help build and evolve data infrastructure while delivering critical insights, management reports, and analysis for senior leadership decisions.

The role blends hands-on technical work with executive-level communication, offering the chance to shape the organization’s data strategy and roadmap through end-to-end modeling and analytics across large datasets.

Qualifications

• Master’s degree in computer science, statistics, economics, or a related field.
• Strong experience with machine learning and cloud computing.
• Experience building and deploying predictive models.
• Proficiency in Python, R, SAS, SQL and NoSQL.
• Experience with web scraping and scalable data pipelines.
• Knowledge of big data tools and techniques.
• Ability to communicate complex results to technical and non-technical audiences.
• Experience with model development lifecycle from data sourcing to production scoring.
• Background in financial services preferred.
• Willingness to learn new technologies on the job.
• Strategic thinker with outcomes focus.

Responsibilities

• Perform advanced analytics to extract value from business data.
• Conduct large-scale experiments and build data-driven models.
• Research cutting-edge ML, deep learning, and AI techniques.
• Define requirements to train and evolve deep learning models.
• Articulate a vision and roadmap for data as a corporate asset.
• Influence product teams with data-based recommendations.
• Promote analytics best practices across teams.
• Own the model development lifecycle from requirements to production scoring.

Job description

Agility Partners is seeking a Senior Data Scientist for a prominent financial services client in the United States. You will help build and evolve data infrastructure while delivering critical insights, management reports, and analysis for senior leadership decisions.

The role blends hands-on technical work with executive-level communication, offering the chance to shape the organization’s data strategy and roadmap through end-to-end modeling and analytics across large datasets.