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Senior Data Scientist

6sense, Inc.
Full Timesenior
San Francisco, California, United StatesPosted 4 weeks ago

Role Overview

6sense, Inc. is hiring a Senior Data Scientist. This is a full-time role in San Francisco, California. Part of 6sense, Inc.'s Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.

Salary Context

Salary is not disclosed in this posting. Market median for Senior-level Data Science roles is $160k-$215k (based on 95 comparable listings). Many employers share specifics during the interview process or after an initial screen.

Resume Keywords to Include

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PythonAWSTensorFlowPyTorchSaaSB2BPipelineOR

Job description

Our Mission:

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.

Our People:

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.  6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.  We want 6sense to be the best chapter of your career. 

About 6sense

6sense is revolutionizing how B2B organizations create, manage, and convert pipeline to revenue. Powered by AI, big data, and predictive analytics, our platform helps revenue teams identify buying intent, engage the right accounts, and drive growth.

The Opportunity

We're looking for a Senior Data Scientist (IC4) to join our growing AI and Data Science team. This is an exciting opportunity for an experienced ML practitioner who enjoys building production-grade AI systems and transforming cutting-edge research into impactful customer-facing products.

You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.

What You'll Do

  • 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 leveraging frameworks such as LangGraph and LangChain.
  • Own the end-to-end ML lifecycle, including:
    • Data exploration
    • Feature engineering
    • Model development
    • Evaluation
    • Deployment
    • Monitoring
  • Develop ranking, recommendation, classification, prediction, and optimization models.
  • Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.
  • Improve 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.

What We're Looking For

Required Qualifications

  • 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 & Unsupervised Learning
    • Recommendation Systems
    • Ranking Models
    • Predictive Modeling
  • Deep expertise in:
    • NLP
    • Transformers
    • Embeddings
    • Encoder-Decoder Architectures
    • Retrieval-based Systems
  • Hands-on experience with GenAI ecosystems including:
    • LangGraph
    • LangChain
    • 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.

Preferred Qualifications

  • Experience building Agentic AI and Multi-Agent Systems.
  • Experience with:
    • RAG Architectures
    • Vector Databases
    • Prompt Engineering
  • Hands-on experience with PyTorch and/or TensorFlow.
  • Prior experience in B2B SaaS or customer-facing AI products.

Base Salary Range: $162,923.67 - $238,954.71. The base salary range represents the anticipated low and high end of the base salary range for this position. Actual salaries may vary and may be above or below the range based on various factors, including but not limited to work location and experience. The base salary is one component of 6sense’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by 6sense’s board. In addition, 6sense provides a variety of benefits, including generous health insurance coverage, life, and disability insurance, a 401K employer matching program, paid holidays, self-care days, and paid time off (PTO). #Li-remote

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Our 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. 

Equal Opportunity Employer: 

6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com. 

We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com 

About 6sense, Inc.

6sense, Inc. logo

6sense, Inc.

6sense.com

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Frequently Asked Questions

How do I apply for the Senior Data Scientist position at 6sense, Inc.?

Use the Apply button above to submit your application directly to 6sense, Inc.. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.

Where is the Senior Data Scientist position at 6sense, Inc. located?

This position is based in San Francisco, California. 6sense, Inc. has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.

What does a Senior Data Scientist at 6sense, Inc. earn?

6sense, Inc. has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.

When was the Senior Data Scientist role at 6sense, Inc. posted?

This role was posted on June 19, 2026 (34 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.

How much experience does the Senior Data Scientist role at 6sense, Inc. require?

This is a senior-level position. Most senior roles call for 5+ years of directly relevant experience. 6sense, Inc. lists their specific requirements in the description below, so review the must-have qualifications closely before applying.

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