Senior Data Scientist – Forward-Deployed

This is a fully remote position, open to applicants in United States.

📋 Description

• Establish baselines for engagements and monitor account health, renewal results, and predictive-score performance.

• Evaluate performance of scored versus unscored accounts, focusing on close rate, sales-cycle duration, and deal size.

• Analyze the effects of model and configuration changes on model performance, volume of qualified accounts, and pipeline timing.

• Conduct before-and-after and holdout-style analyses to differentiate genuine effects from random noise.

• Validate account lists and align customer CRM fields with 6sense firmographic data.

• Collaborate with senior data scientists to customize and optimize customer models.

• Create on-demand value analyses for clients, including assessments of qualified account efficiency, deal journeys, and conversion rates by score bucket.

• Develop dashboards and reports for Data Science, Customer Success, and leadership teams.

• Define documented baselines and mutually agreed success metrics for ongoing engagements.

• Oversee data science initiatives on customer engagements over time.

⛳️ Requirements

• 5+ years of experience in data science or advanced analytics.

• Proven track record in building models and assessing business outcomes.

• Proficiency in SQL and Python.

• Demonstrated ability to transform messy data into reliable analysis, including matching records across different systems by ID.

• Strong foundation in statistics and experimental design, including baselines and control groups.

• Experience in creating dashboards or reports for business stakeholders.

• Ability to clearly communicate analytical findings and their limitations.

• Capable of managing multiple projects simultaneously.

• Nice to have: Experience with B2B go-to-market strategies or SaaS customer data, encompassing CRM, renewals, pipeline, or customer health.

• Nice to have: Background in customer-facing roles, consulting, or client-focused analytics.

• Nice to have: Familiarity with Tableau or similar business intelligence tools.

• Nice to have: Experience with SingleStore, Snowflake, or Hive.

🏝️ Benefits

• Potential inclusion of a bonus program or commission plan.

• Stock options available.

• Comprehensive health insurance coverage.

• Life insurance offered.

• Disability insurance provided.

• 401K employer matching program.

• Paid holidays.

• Self-care days included.

• Paid time off (PTO) available.

• Paid parental leave offered.

• Equipment and assistance for remote work and team connections.

• Access to learning and development initiatives.

• LinkedIn Learning access provided.

• Quarterly wellness education sessions available.

• Wellness days included.

• Events hosted by Employee Resource Groups (ERGs).