Senior Forward-Deployed Data Scientist (Remote)

6sense; United States; Remote; USD 168,000 - 231,000; Full time

Benefits offered by this job

Health insurance

401K plan

Stock options

Paid holidays

Generous PTO

Job summary

6sense is hiring a Sr. Data Scientist (Forward Deployed) in the United States to show the business impact of analytics on customer engagements. You will measure engagement movement in pipelines and renewals, build value analyses for leadership, and work hands-on with senior data scientists on customer models.

This role sits where analytics meets modeling and offers a path into forward-deployed data science with opportunities to grow and lead projects across multiple engagements.

Qualifications

• 5+ years in data science or advanced analytics.
• Strong SQL and Python, data cleaning, cross-system matching by ID.
• Statistics and experiment design: baselines and control groups.
• Experience building dashboards or reporting for business stakeholders.
• Clear communicator who can explain what the numbers mean.
• Nice to have: SaaS/B2B data, CRM, renewals; Tableau; data platforms like SingleStore, Snowflake or Hive.

Responsibilities

• Build baseline for every engagement and track results: health, renewal outcome, and predictive scores.
• Measure scored vs unscored accounts: close rate, sales cycle length, deal size.
• Assess impact of model/config changes on performance, volume, and timing.
• Run before-and-after analyses with senior data scientists on live engagements.
• Tailor and tune models using customer data and feedback.
• Build dashboards and reporting used by Customer Success and leadership.

Skills

Data science

Experiment design

Communication

Tools

SQL

Python

Tableau

SingleStore

Snowflake

Hive

Job description

6sense is hiring a Sr. Data Scientist (Forward Deployed) in the United States to show the business impact of analytics on customer engagements. You will measure engagement movement in pipelines and renewals, build value analyses for leadership, and work hands-on with senior data scientists on customer models.

This role sits where analytics meets modeling and offers a path into forward-deployed data science with opportunities to grow and lead projects across multiple engagements.