Senior Data Scientist – CPG Revenue Analysis & Trade Promotion Optimization

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We are seeking a highly experienced Senior Data Scientist to join our team and drive data-led decision making in the Consumer Packaged Goods (CPG) space. In this role, you will lead complex analytic studies, develop and deploy advanced machine learning models, and provide strategic insights to optimize revenue analysis, trade promotion management, and trade promotion optimization. You will work closely with cross-functional teams—including data engineers, analysts, and business stakeholders—to integrate AI/ML solutions into our software products and elevate our data environment. Key Responsibilities: Analytical Leadership: Lead multifaceted analytic studies on large datasets using exploratory mathematical and statistical techniques. Data Experimentation: Conduct experiments with various data sets to uncover novel solutions to challenging data problems. Solution Implementation: Develop, test, and deploy data-driven models and solutions that effectively leverage AI/ML to optimize business operations. Collaboration: Work closely with Data Engineers and Analysts to build robust data environments and integrate machine learning models into our software products. Strategic Development: Formulate methodologies for project prioritization, scheduling, and the implementation of machine learning solutions. Insight Communication: Clearly communicate data insights and strategic recommendations to stakeholders and clients, ensuring complex information is understandable and actionable. Requirements: Education: PhD or Master’s degree in Computer Science, Statistics, Mathematics, or a related field (PhD preferred). Experience: 5-10 years of professional experience with a proven track record of building and deploying statistical and machine learning models at the enterprise level. Technical Expertise: Deep knowledge of machine learning algorithms and statistical programming languages such as R and Python. Proficiency with SQL and data processing tools like Hive or Pig. Data Proficiency: Strong skills in data engineering, visualization, and storytelling to translate complex datasets into actionable insights. Problem Solving: Exceptional analytical and problem-solving abilities, with experience decomposing complex business challenges and implementing quantitative solutions. Cloud Technologies: Familiarity with cloud platforms such as Azure, AWS, or Google Cloud—with a preference for Azure experience. Communication & Collaboration: Excellent communication and project management skills, with the ability to work independently as well as within a team. Preferred Qualifications: Experience in the consumer goods industry or similar sectors (e.g., Health and Beauty Care, OTC Pharma, or Grocery/Big Box retail). Background in large-scale operations (e.g., experience at companies like Google or Amazon) or with leading consultancy firms building data science solutions for CPG clients. Proven experience in building trade lift models and/or marketing mix models. Familiarity with price promotion and assortment optimization software. Certification in Data Science, Machine Learning, or Artificial Intelligence is a plus. If you are a strategic thinker passionate about leveraging data to drive business success in the CPG industry, we’d love to hear from you. Please submit your resume along with examples of your previous work or case studies relevant to trade promotion and revenue analysis.

Keyword: cloud

Contractor Tier: Hourly: $80.00 - $120.00

Price: $100.0