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Sr. Data Scientist

2 weeks, 3 days ago
United States
Full-time
Lead
Data Scientist
Data Science and Analytics
AWS Databricks Generative AI Machine Learning MLOps NLP Python PyTorch Statistics TensorFlow Transformers
Apply Now
6sense

6sense

6sense is a B2B predictive intelligence engine that reinvents pipeline to revenue with Revenue AI™. It empowers marketing and sales teams with 100% buyer visibility, accurate predictions, and AI-driven insights.

IT Services
1K-5K
Founded 2013
$526M raised
View All Jobs 18

Description

  • Design, build, and deploy scalable machine learning and AI solutions in production environments.
  • Develop NLP and transformer-based systems for enterprise-scale applications.
  • Build Agentic AI workflows using frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including data exploration, feature engineering, model development, evaluation, deployment, and monitoring.
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve the performance, scalability, reliability, and observability of production ML systems.
  • Contribute to AI platform architecture and technical strategy.
  • Mentor engineers and help elevate engineering excellence across the organization.

Requirements

  • 8+ years of experience building and deploying machine learning solutions in production.
  • Strong foundation in machine learning, statistics, and applied data science.
  • Experience with supervised and unsupervised learning, recommendation systems, ranking models, and predictive modeling.
  • Deep expertise in NLP, transformers, embeddings, encoder-decoder architectures, and retrieval-based systems.
  • Hands-on experience with GenAI ecosystems including LangGraph, LangChain, and Amazon Bedrock.
  • Strong Python programming skills.
  • Experience building distributed ML systems and pipelines using AWS and Databricks.
  • Strong understanding of feature engineering, model evaluation, and MLOps.
  • Ability to independently solve ambiguous problems and drive execution.
  • Strong product mindset with focus on customer impact and business outcomes.
  • Experience building Agentic AI and multi-agent systems preferred.
  • Experience with RAG architectures, vector databases, and prompt engineering preferred.
  • Hands-on experience with PyTorch and/or TensorFlow preferred.
  • Prior experience in B2B SaaS or customer-facing AI products preferred.

Benefits

  • Base salary range of $162,923.67 to $238,954.71.
  • Bonus program or commission plan may be available.
  • Stock options may be included if approved by the board.
  • Generous health insurance coverage, plus life and disability insurance.
  • 401(k) employer matching program.
  • Paid holidays, self-care days, and paid time off (PTO).
  • Paid parental leave and quarterly self-care days off.
  • Equipment and support for working remotely or in the office.
  • Access to learning and development resources, including LinkedIn Learning.

Interested in this position?

Apply directly on the company website

Apply Now

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