Jobs · greenhouse:Vantage Compute
Sr. Data Scientist
Vantage Compute · San Francisco, California, United States · Posted 27d ago
About the role
Design, build, and deploy scalable machine learning solutions in production environments.
Our Mission: Vantage Compute'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 Vantage Compute. We serve with passion and purpose. We live by our Being Vantage Compute 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. Vantage Compute 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 Vantage Compute to be the best chapter of your career. About Vantage Compute Vantage Compute 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 Vantage Compute’s total compensation package for this position. Other compensation may include a bonus program or commission plan, and stock options if approved by Vantage Compute’s board. In addition, Vantage Compute 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 Notice of Collection and Use of Personal Information for California Residents: California Recruitment Privacy Notice and Policy 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 Vantage Compute employees and their backgrounds. Equal Opportunity Employer: Vantage Compute 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@Vantage Compute.com . We are aware of recruiting impersonation attempts that are not affiliated with Vantage Compute in any way. A ll email communications from Vantage Compute will originate from the @Vantage Compute.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 Vantage Compute employee, reach out to jobs@ Vantage Compute.com
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FAQ
Is the Sr. Data Scientist role at Vantage Compute remote?+
This Sr. Data Scientist position is listed as onsite (San Francisco, California, United States).
What is the salary for the Sr. Data Scientist role at Vantage Compute?+
The listing states Estimated 107k-203k USD.
What seniority level is this Sr. Data Scientist role?+
This is a senior level position.
How do I apply for the Sr. Data Scientist role at Vantage Compute?+
Use the "Apply on greenhouse:Vantage Compute" button to open the original posting on greenhouse:Vantage Compute, where you can submit your application directly to Vantage Compute.