Senior Data Scientist - Pricing Optimization

Tiger Analytics

Data Science Manager leading Pricing and Promotion Optimization for Fortune 100 clients at Tiger Analytics. Drive product strategies and enhance pricing initiatives for CPG clients.

Posted 4/14/2026full-timeRemote • 🇨🇦 CanadaSeniorWebsite

Tech Stack

Tools & technologies

Azure

About the role

Key responsibilities & impact

Work on the latest applications of data science to solve business problems in the optimization space for a CPG client
Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
Product Roadmap Development: Create, manage, and communicate a clear roadmap and strategic vision for the pricing and promotion optimization product, aligned with business goals and market trends. Key activities include developing, maintaining, enhancing and scaling the product to various Markets.
Quarterly Planning: Design and implement quarterly plans, ensuring alignment with product goals, KPIs, and timelines.
Team Leadership: Lead and mentor a cross-functional team of 5-6 members, fostering a collaborative and high-performance environment.
Pricing & Promotion Strategy: Define and implement an optimization framework to optimize pricing and promotional Strategies.
Stakeholder Collaboration: Work closely with internal teams, including Marketing, Sales, Engineering, and Analytics, to gather requirements and translate them into actionable plans.
Market and Competitive Analysis: Conduct ongoing analysis of market trends and competitor strategies to identify opportunities and gaps.
Performance Monitoring: Track and analyze key metrics to ensure product success, and identify areas for improvement to drive product growth.
Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Stay connected with external sources of ideas through conferences and community engagements.
Support demands from regulators, investor relations, etc., to develop innovative solutions to meet objectives utilizing cutting-edge techniques and tools.

Requirements

What you’ll need

10+ years of Data Science experience, and 8+ years of experience in product management, with a focus on pricing, promotions, or optimization.
Graduate Degree in Data Science, Computer Science, or a related field is required
Proven experience managing a team and leading product initiatives.
Skilled in creating product roadmaps, setting priorities, and executing strategic plans.
Proven experience managing a team and leading product initiatives.
Analytical Mindset: Strong data analysis skills, with experience in pricing strategies and optimization.
Exceptional communication and collaboration skills to understand business partner needs and deliver solutions.
Experience in Azure environments and Databricks is a plus
Bias for action, with the ability to deliver outstanding results through task prioritization and time management.
Be proactive, curious, can-do attitude, flexible personality

Benefits

Comp & perks

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data scienceproduct managementpricing strategypromotional strategyoptimizationdata analysisproduct roadmap developmentKPI trackingmarket analysisperformance monitoring

Soft Skills

team leadershipcommunicationcollaborationanalytical mindsettask prioritizationtime managementproactive attitudecuriosityflexibilitycoaching

Certifications

graduate degree in Data Sciencegraduate degree in Computer Science