Sr. Data Scientist, Forward-Deployed

This is a Fully Remote Job

About Our Client:

The organization operates in the data science and AI engineering space, focusing on predictive analytics to support sales and marketing efforts. It addresses challenges related to identifying target accounts and buyers by leveraging advanced modeling techniques on diverse customer data. The team delivers tailored, impactful solutions that improve customer focus and operational efficiency, with a scalable approach that benefits multiple clients.

About the Opportunity:

The SENIOR DATA SCIENTIST, FORWARD DEPLOYED, serves as the lead modeler within a specialized team. This role is responsible for developing, customizing, and validating predictive models that guide sales and marketing teams in prioritizing accounts and buyers. By working directly with customer data and delivering actionable insights, the position plays a critical role in enhancing the organization's service value and expanding the adoption of successful modeling approaches.

Responsibilities:

• Analyze customer go-to-market data including CRM, marketing automation, firmographic, and intent signals.
• Retrain and tune account and contact models to reflect ideal customer profiles and industry definitions.
• Validate model impact through backtesting and comparison with customer scoring.
• Calibrate scoring thresholds for consistent, explainable qualified account flow.
• Prepare customer-facing deliverables such as review decks and documentation.
• Collaborate with MLOps engineers to deploy solutions into production.
• Document reusable patterns and communicate recurring needs to product teams.

Requirements:

• 6-8 years experience building and deploying machine learning models in production, preferably ranking, propensity, classification, or scoring models.
• Strong knowledge of machine learning and applied statistics, including tree-based models like XGBoost and Random Forest.
• Proficiency in Python and SQL, experienced with large and complex datasets.
• Experience working directly with customer data in consulting or customer-facing roles.
• Ability to manage multiple short-term projects simultaneously.
• Effective communication skills for technical concepts to non-technical audiences.
• Product-oriented mindset focusing on scalable solutions.
• Preferred: experience with B2B go-to-market data, lead/contact scoring, model explainability methods, and relevant big data tools.

Pay Range and Compensation Package:

• Base salary range: $168,349.50 - $230,912.60.
• Total compensation may include bonus programs, commissions, and stock options.

Benefits & Perks:

• Health insurance coverage.
• Life and disability insurance.
• 401(k) employer matching program.
• Paid holidays and paid time off.
• Paid parental leave.
• Quarterly self-care days.
• Stock options.

Equal Opportunity Statement: Our client is an equal opportunity employer. They celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, or national origin.

Note:

TalentHop is a recruitment partner of this role. Please note that all employment decisions, including candidate assessment, interviews, hiring, compensation, and employment terms, are made exclusively by the hiring employer.