Staff Data Scientist @6sense
Data and Analytics
Salary usd 194,736.75 ..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay

[Hiring] Staff Data Scientist @6sense

YDay - 6sense is hiring a remote Staff Data Scientist. πŸ’Έ Salary: usd 194,736.75 - 265,613.90 per year πŸ“Location: USA

Role Description

Our largest customers want data scientists who work directly with their teams. As Staff Data Scientist, Forward Deployed, you'll lead that work: partnering with strategic customers to tailor our predictive models to how they go to market, and making sure the results show up in their pipeline. You'll set the technical direction for five to ten customer engagements at a time while staying hands-on, and carry what you learn back into the product. This is a high-ownership role for someone who enjoys ambiguity, likes being close to customers, and wants their work to show up both in customer results and in the product.

What You'll Do

  • Build for the customer
    • Lead the technical side of strategic customer engagements, from discovery to a solution running in production.
    • Partner with customers' marketing and revenue operations teams to understand their go-to-market, data and goals, and find where predictive intelligence can have the most impact.
    • Tailor and optimize models for each customer: ideal customer profile and industry definitions, keyword and intent strategy, how CRM and marketing automation activity feeds the models, and score thresholds.
    • Shape each engagement with Professional Services and Customer Success: scope, plan, estimate and success measures.
    • Lead customer reviews that recommend the next model, backed by backtests and conversion analysis customers can verify in their own data.
    • Tell the story of the work in the customer's language, so results land with business leaders as well as practitioners.
    • Guide customers through model and configuration changes so their teams know what to expect.
  • Productize for everyone
    • Turn what works into reusable patterns, and bring the ones that recur across customers to Product as roadmap input backed by field evidence.
    • Set the team's standards for discovery, validation, documentation and handoff, and mentor its data scientists.

Qualifications

  • 10+ years building and deploying machine learning models in production, ideally supervised models on tabular or behavioral data (propensity, scoring, ranking or similar).
  • Experience working directly with customers on their data: consulting, client-site work, or a forward-deployed or solutions role at a company like Palantir or in fintech.
  • Strong applied ML fundamentals, including tree-based models such as XGBoost and Random Forest: feature engineering, evaluation, calibration, threshold setting, and healthy skepticism about what a metric is telling you.
  • Experience owning model changes in production end to end: backtesting, promotion decisions and rollback.
  • Fluent in Python and SQL, and comfortable in messy, fragmented customer data rather than clean benchmarks.
  • Able to run two or three engagements at once and switch between them without a fixed sprint plan.
  • Exceptional communication: you can tell the story of the work to an executive and to an engineer.
  • A product mindset: you'd rather build a capability once for every customer than solve it ten times by hand.

Requirements

  • Nice to have: B2B go-to-market data (CRM, marketing automation, intent, ABM or predictive scoring); explaining model output to non-technical users; leading a small team or a portfolio of client engagements; building or evaluating LLM-based tools and agents; data platforms such as SingleStore, Hive or Spark on AWS.

Benefits

  • Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options.
  • We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
  • We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform.
  • Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self-care and personal growth.
  • From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.

Company Description

6sense's mission is to multiply what matters: growth, retention, and efficiency. We envision a future where companies, teams and people reach their full potential.

People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Win as One Team, Stay Curious, Do The Right Thing, Own the Outcome, and Create Belonging. Every 6sensor plays a part in defining the future of our industry-leading technology.

Before You Apply
️
πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
Staff Data Scientist @6sense
Data and Analytics
Salary usd 194,736.75 ..
Remote Location
πŸ‡ΊπŸ‡Έ USA Only
Employment Type full-time
Posted YDay
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πŸ‡ΊπŸ‡Έ Be aware of the location restriction for this remote position: USA Only
β€Ό Beware of scams! When applying for jobs, you should NEVER have to pay anything. Learn more.
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