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 the Role
We are looking for a Sr. Data Scientist to join the Data Science team at 6sense. This role is ideal for someone who combines strong data science fundamentals with deep expertise in building applied machine learning, NLP, and modern GenAI systems.
You will work on building scalable AI-powered products and intelligent systems that directly impact customer experience and business outcomes. The ideal candidate is technically strong, product-oriented, and capable of thinking end-to-end — from problem framing and experimentation to productionization, monitoring, and long-term evolution of AI systems.
What You’ll Do
- Design, build, and deploy production-grade ML and AI systems powering core product capabilities
- Develop and optimize NLP and transformer-based solutions for enterprise-scale use cases
- Build agentic AI workflows using frameworks such as LangGraph and LangChain
- Work across the full ML lifecycle including data exploration, feature engineering, model development, evaluation, deployment, and monitoring
- Apply statistical and machine learning techniques to solve ranking, recommendation, prediction, classification, and optimization problems
- Partner closely with Product, Engineering, and Data Analytics teams to translate ambiguous business problems into scalable AI solutions
- Drive end-to-end ownership across experimentation, evaluation, deployment, monitoring, and iteration
- Improve reliability, latency, scalability, and observability of ML systems in production
- Contribute to architectural decisions and help define best practices for AI-native application development
- Mentor junior engineers and contribute to raising the technical bar across the team.
What We’re Looking For
Required Qualifications
- 5+ years of experience in building and deploying machine learning systems in production environments
- Strong foundation in machine learning, statistics, and applied data science
- Experience with supervised and unsupervised learning techniques, recommendation systems, ranking models, and predictive modeling
- Strong experience with NLP, transformer architectures, embeddings, encoders-decoder models, and retrieval-based systems
- Hands-on experience with LLM application frameworks such as LangGraph, LangChain, Amazon Bedrock
- Strong programming skills in Python and experience with modern ML/AI tooling ecosystems
- Experience building scalable distributed systems and production ML pipelines in Databricks and AWS ecosystem
- Strong understanding of data quality, feature engineering, and model operationalization
- Ability to independently drive ambiguous problems from concept to production
- Strong product mindset with the ability to think holistically about user experience, business impact, and system design
Preferred Qualifications
- Experience building agentic AI systems and multi-agent workflows
- Familiarity with RAG architectures, vector databases, and prompt engineering
- Experience with deep learning frameworks such as PyTorch or TensorFlow
- Experience in B2B SaaS or customer-facing AI products
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 [email protected].
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
Skills Required
- 5+ years of experience in building and deploying machine learning systems in production environments
- Strong foundation in machine learning, statistics, and applied data science
- Strong experience with NLP, transformer architectures, embeddings, encoders-decoder models, and retrieval-based systems
- Strong programming skills in Python and experience with modern ML/AI tooling ecosystems
- Experience building scalable distributed systems and production ML pipelines in Databricks and AWS ecosystem
6sense Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about 6sense and has not been reviewed or approved by 6sense.
-
Fair & Transparent Compensation — Pay is considered strong overall, with widespread satisfaction in salary, benefits, and equity. Compensation is also positioned as comparatively competitive for multiple roles, including sales and engineering.
-
Leave & Time Off Breadth — Time-off policies are described as flexible, including an unlimited-style vacation approach and expectations of being work-free while out. This breadth in paid time off is repeatedly positioned as a standout part of the overall package.
-
Healthcare Strength — Health coverage is characterized as comprehensive, with dental and vision coverage called out as employer-paid in some descriptions. Wellness-related supports such as wellness days and stipends add to the perceived strength of the health-and-wellbeing offering.
6sense Insights
What We Do
The 6sense Account Engagement Platform helps revenue teams identify and close more opportunities by putting the power of AI, big data and machine learning behind every member of the B2B revenue team.
