Sr. Data Scientist, Forward-Deployed

6sense

7d•$168,350 - $230,913•Remote

About The Position

6sense is hiring a Sr. Data Scientist for its Forward Deployed Engineering Predictive track. The role focuses on demonstrating the impact of 6sense's work for customers by measuring how engagements affect pipeline and renewals, producing value analyses for customers and leadership, and working with senior data scientists on customer models. It sits at the intersection of analytics and modeling and offers a path toward forward-deployed data science. The position establishes baselines before customer engagements and tracks account health, renewal outcomes, and predictive-score performance. It measures scored accounts against unscored accounts, evaluates model and configuration changes, and uses before-and-after and holdout-style analyses to distinguish meaningful effects from noise. It also contributes to live customer engagements by validating account lists, comparing CRM fields with 6sense firmographic data, and helping tailor and tune models. The role also productizes analyses for use across customers, including qualified-account efficiency, deal journeys, and conversion by score bucket. It builds dashboards and reporting used by Data Science, Customer Success, and leadership to monitor engagement outcomes. The position reports to the Director of Data Science and is based in the United States; the posting indicates remote work with “#Li-remote.”

Requirements

At least 5 years of experience in data science or advanced analytics, including experience building models and measuring business outcomes.
Strong SQL and Python skills.
Experience turning messy data into trusted analysis, including matching records across systems by ID.
A solid grounding in statistics and experiment design, including baselines, control groups, and assessing whether a difference is real.
Experience building dashboards or reporting for business stakeholders.
Clear communication skills, including the ability to explain what numbers mean and do not mean.
Comfort switching between several projects at once.

Nice To Haves

Experience with B2B go-to-market or SaaS customer data, such as CRM, renewals, pipeline, or customer health.
Experience in a customer-facing, consulting, or client-focused analytics role.
Experience with BI tools such as Tableau.
Experience with data platforms such as SingleStore, Snowflake, or Hive.

Responsibilities

Establish a baseline for every engagement before work starts and track account health, renewal outcomes, and predictive-score performance for customers' sales teams.
Measure the performance of scored accounts against unscored accounts, including close rate, sales cycle length, and deal size.
Assess the impact of model and configuration changes on model performance, qualified-account volume, and pipeline timing.
Run before-and-after and holdout-style analyses to distinguish a change's real effect from noise.
Work on live engagements with senior data scientists to validate account lists, compare customer CRM fields with 6sense firmographic data, and help tailor and tune models.
Build reusable value analyses that Data Science can run for any customer on demand, such as qualified-account efficiency, deal journeys, and conversion by score bucket.
Build dashboards and reporting for the team, Customer Success, and leadership to follow engagement outcomes.

Benefits

Health coverage and generous health insurance coverage.
Paid parental leave.
Generous paid time off and paid holidays.
Quarterly self-care days off.
Life and disability insurance.
401(k) employer matching.
Stock options, subject to approval by 6sense's board.
Learning and development initiatives, including access to LinkedIn Learning.
Quarterly wellness education sessions and wellness days.
Equipment and support for working and connecting with teams at home or in an office.