Sr. Data Scientist

<div class="content-intro"><p><strong>Our Mission:</strong></p> <p>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.</p> <p><strong>Our People:</strong></p> <p>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. </p></div><h2>About 6sense</h2> <p class="isSelectedEnd">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.</p> <h2>The Opportunity</h2> <p class="isSelectedEnd">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.</p> <p class="isSelectedEnd">You will work on advanced machine learning, NLP, LLMs, Agentic AI, and GenAI applications that directly influence product innovation and customer outcomes.</p> <h2>What You'll Do</h2> <ul data-spread="false"> <li>Design, build, and deploy scalable machine learning and AI solutions in production environments.</li> <li>Develop NLP and transformer-based systems for enterprise-scale applications.</li> <li>Build Agentic AI workflows leveraging frameworks such as LangGraph and LangChain.</li> <li>Own the end-to-end ML lifecycle, including: <ul data-spread="false"> <li>Data exploration</li> <li>Feature engineering</li> <li>Model development</li> <li>Evaluation</li> <li>Deployment</li> <li>Monitoring</li> </ul> </li> <li>Develop ranking, recommendation, classification, prediction, and optimization models.</li> <li>Partner closely with Product, Engineering, and Analytics teams to solve complex business problems.</li> <li>Improve performance, scalability, reliability, and observability of production ML systems.</li> <li>Contribute to AI platform architecture and technical strategy.