Staff Data Scientist, Forward-Deployed (Customer-Facing)

6sense; Oregon; Hybrid; USD 180,000 - 240,000; Full time

Job summary

6sense seeks a Staff Data Scientist, Forward Deployed, to lead data science engagements with marquee customers. You will tailor predictive models to client go-to-market needs, stay hands-on, and drive five to ten engagements while feeding learnings back into product.

This role requires 10+ years of ML production experience, strong Python/SQL, and excellent communication with executives and engineers. You’ll collaborate with professional services to turn insights into measurable outcomes.

Qualifications

• 10+ years building and deploying ML models in production.
• Experience working directly with customers on their data (consulting or forward-deployed).
• Strong applied ML fundamentals: tree-based models, feature engineering, evaluation, calibration.

Responsibilities

• Lead the technical side of strategic customer engagements, from discovery to production.
• Collaborate with marketing and revenue ops to understand go-to-market goals and data needs.
• Tailor models for each client: ICP/industry, keyword/intent, CRM inputs, scoring/thresholds.
• Shape engagements with Professional Services and Customer Success: scope, plan, estimate, success measures.
• Lead reviews with customers backed by backtests and conversion analysis.
• Tell stories of work in the customer's language to business leaders and engineers.
• Guide customers through model/configuration changes for clarity.

Skills

ML production experience

Customer engagements

Applied ML fundamentals

Model changes in production

Python & SQL

Engagement management

Executive communication

Product mindset

Tools

SingleStore

Hive

Spark on AWS

Job description

6sense seeks a Staff Data Scientist, Forward Deployed, to lead data science engagements with marquee customers. You will tailor predictive models to client go-to-market needs, stay hands-on, and drive five to ten engagements while feeding learnings back into product.

This role requires 10+ years of ML production experience, strong Python/SQL, and excellent communication with executives and engineers. You’ll collaborate with professional services to turn insights into measurable outcomes.