Staff Data Scientist, Pricing

Jobgether

5d • Hybrid

About The Position

This role provides an opportunity to lead the development of advanced pricing intelligence systems that directly impact strategic business decisions and optimize revenue. You will analyze large-scale datasets, architect ML-driven pricing models, and translate complex insights into actionable recommendations for cross-functional teams. Working in a fast-paced, high-growth environment, you will combine statistical rigor with machine learning innovation to develop pricing strategies that balance interpretability, regulatory compliance, and commercial impact. You will collaborate closely with engineers, analysts, and business stakeholders, helping shape the future of pricing platforms while ensuring models are robust, scalable, and aligned with company objectives. The position requires both deep technical expertise and the ability to communicate complex results to diverse audiences, driving measurable business outcomes.

Requirements

• 7+ years of hands-on experience in Data Science, ML Engineering, or similar roles, ideally in pricing, revenue optimization, or high-impact analytical domains.
• Strong expertise in statistical modeling, machine learning, and handling large, complex datasets.
• Proficiency in SQL and Python; experience with agnostic tech stacks, Snowflake, or Streamlit is a plus.
• Master’s degree in a quantitative field required; PhD preferred.
• Demonstrated ability to communicate complex analyses to both technical and non-technical audiences.
• Experience with experimental design, A/B testing, and causal inference methods.
• Problem-solving mindset with a focus on delivering measurable business outcomes in a fast-paced, high-growth environment.

Responsibilities

• Analyze extensive pricing and market datasets to identify trends, benchmark properties, and inform strategic pricing decisions.
• Design, build, and deploy enterprise-grade ML models and statistical methods for pricing optimization, balancing sophistication with interpretability.
• Develop and maintain robust pricing algorithms that integrate traditional statistical approaches with modern ML engineering.
• Perform exploratory data analysis, A/B testing, and causal inference studies to generate actionable insights and validate model effectiveness.
• Collaborate cross-functionally with engineers, analysts, and business teams to uncover pricing opportunities and communicate findings to stakeholders.
• Ensure models and solutions are compliant with regulatory standards and instill confidence in business decision-making.
• Drive business impact by contributing to the evolution of the next-generation pricing platform in a dynamic environment.

Benefits

• Competitive base salary with potential for bonuses, commissions, and equity.
• Comprehensive healthcare coverage and benefits package.
• Flexible work arrangements, including hybrid or fully remote options.
• Professional development opportunities and access to resources that support growth.
• Exposure to cutting-edge ML and data science applications in pricing strategy.
• Collaborative and innovative work environment that values impact and initiative.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level