Senior Data Scientist, Forward-Deployed

🔥 0 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $168.3k - $230.9k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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6sense

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

💼 Consulting

📦 Logistics

🤖 Artificial Intelligence

💰 $200M Series E on 2022-01

Consulting • Logistics • Artificial Intelligence

6sense is a company specializing in Revenue AI™ solutions, particularly for B2B marketing and sales. The company offers a platform that identifies potential buyers who are ready to purchase, crafts personalized messages to engage them, and automatically qualifies and books meetings. 6sense uses advanced AI to predict buying stages, enrich contact and account data, and uncover buyer intent. Their platform integrates with existing technology investments and supports operations like account intelligence, audience building, and orchestration workflows. 6sense aims to improve marketing efficiency, increase pipeline, and boost revenue growth by revealing hidden buying signals and providing relevant data insights.

📋 Description

• Serve as the team's lead modeler for Forward Deployed Engineering, Predictive track • Work hands-on with strategic customers' data to tailor, retrain, and validate models • Drive two or three customer engagements simultaneously using production data • Learn each customer's go-to-market and data, including CRM, marketing automation, firmographic, and intent signals • Retrain and tune account and contact models, including ideal customer profile and industry definitions, keyword strategy, CRM activity inputs, feature selection, and first- and third-party signal balance • Prove impact with backtests against live models and, where possible, customers' own scoring • Use opportunity conversion by score bucket to measure results • Calibrate score thresholds and scaling to provide a steady, explainable flow of qualified accounts • Build customer-ready review decks, explainability views, score files, and verifiable documentation • Partner with the MLOps engineer to bring solutions into production after handoff • Capture learnings as reusable patterns and share recurring needs with Product using field evidence • Deliver tailored models for customer engagements, create reusable solutions, and develop playbooks that accelerate future engagements

🎯 Requirements

• 6–8 years building and deploying machine learning models in production • Experience with ranking, propensity, classification, or scoring models on tabular or behavioral data • Strong foundation in machine learning and applied statistics • Knowledge of tree-based models such as XGBoost and Random Forest • Experience with model evaluation and calibration • Fluency in Python and SQL • Experience with large, messy, real-world datasets • Experience matching customer CRM records to account data • Experience working with or for customers on their data, including consulting, client-site work, or forward-deployed, solutions, or customer-facing data roles • Ability to switch between several ad hoc projects in a week • Ability to explain technical work clearly to non-technical audiences • Product mindset focused on reusable solutions • Nice to have: B2B go-to-market data, lead or contact scoring models, model explainability methods such as feature importance or SHAP, Spark, SingleStore or Hive on AWS, and LLM-based tools, agents, or evaluation methods

🏖️ Benefits

• Generous health insurance coverage • Life insurance • Disability insurance • 401(k) employer matching program • Paid holidays • Self-care days • Paid time off (PTO) • Paid parental leave • Stock options • Equipment and support for working at home or in an office • Learning and development initiatives • Access to LinkedIn Learning • Quarterly wellness education sessions • Wellness days • ERG-hosted events

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