Staff Data Scientist, Pricing

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Staff Data Scientist, Pricing in United States. This role offers the opportunity to shape next-generation pricing strategies in a high-growth, technology-driven environment. You will work with large-scale datasets to uncover insights, build enterprise-grade machine learning models, and develop algorithms that directly influence pricing decisions across multiple markets. Operating at the intersection of data science, engineering, and business strategy, you will collaborate cross-functionally to deliver actionable insights that optimize revenue and customer experience. This is a highly visible role, offering significant ownership over complex pricing challenges, where your models and analyses will directly impact financial performance. Ideal candidates thrive in fast-paced environments, enjoy tackling complex problems, and are excited by the chance to translate advanced analytics into measurable business outcomes. Accountabilities • Develop advanced pricing models and algorithms using statistical and machine learning methods to inform strategic decisions and optimize revenue. • Analyze large-scale pricing datasets to identify trends, benchmark performance, and provide actionable insights across regions and business units. • Architect core pricing intelligence systems, ensuring enterprise-grade reliability, interpretability, and regulatory compliance. • Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities and implement data-driven strategies. • Design and execute experiments, including A/B testing and causal inference, to validate model assumptions and measure business impact. • Communicate insights effectively to stakeholders and leadership, translating complex data into clear, actionable recommendations. • Drive business impact by continuously iterating on models and pricing strategies in a fast-paced, high-growth environment. Requirements • 7+ years of hands-on experience in Data Science, Machine Learning, or ML Engineering, ideally in pricing, revenue optimization, or related domains. • Strong technical skills in Python and SQL; experience with cloud-based or agnostic tech stacks; familiarity with Snowflake or Streamlit is a plus. • Advanced statistical and machine learning expertise, including experience with large, complex datasets and model interpretability. • Educational background: Master’s degree in a quantitative field required; PhD preferred. • Business acumen: ability to translate technical insights into strategic recommendations that impact pricing and revenue. • Excellent communication skills to present findings to both technical and non-technical audiences. • Thrives in high-growth environments, embraces ambiguity, and is driven by measurable business impact. Benefits • Competitive base salary: $144,500—$247,600 USD, with variable pay, bonuses, and potential equity. • Comprehensive healthcare coverage including medical, dental, and vision. • Flexible work environment: hybrid or fully remote options depending on role requirements. • Professional development opportunities to grow skills and advance your career. • Supportive and innovative team culture fostering collaboration, creativity, and high impact. • Additional perks: wellness programs, office resources, and tools to maximize productivity and work-life balance. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.