Data Scientist

3 weeks ago

Chicago, Illinois, United States Tiger Analytics Full time
About the Role

Tiger Analytics is a pioneering company that leverages AI and analytics to solve complex business problems for global organizations. We develop bespoke solutions powered by data and technology for Fortune 100 companies, with offices in the US, UK, India, and Singapore, and a remote global workforce.

We are market leaders in AI and analytics consulting in the retail & CPG industry, with over 40% of our revenues coming from this sector. This is our fastest-growing sector, and we are expanding our talent in the space.

We are seeking a Lead Data Scientist with a strong background in data analytics, solid knowledge of Market Mix Modeling and ROI analytics, and excellent coding capabilities to join our team.

Key Responsibilities
  • Work on cutting-edge data science applications to solve business problems in the Marketing analytics team of the CPG space.
  • Effectively communicate the analytics approach and how it will meet and address objectives to business partners.
  • Develop clear, concise, actionable solutions and recommendations for Client's business needs.
  • Collaborate with client analytics teams to carry out Market Mix Modelling / ROI analytics.
  • Undertake hands-on work on data analytics, model development, and testing, and prepare data files for visualization platforms.
  • Conduct business analysis on the data and provide insights.
  • Coordinate with decision-makers to translate business questions into verifiable hypotheses and data models.
  • Work across various analytics problems and provide thought leadership.
  • Interact with onsite teams and clients on a daily/weekly basis to gather requirements and provide updates.
  • 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 using cutting-edge techniques and tools.
Requirements
  • 8+ years of experience working with CPG clients or in a CPG company.
  • Graduation or Post-graduation in Statistics, Mathematics, Management, etc.
  • Must have worked with Marketing analytics teams and understand Market Mix Modeling (MMM) work comprehensively. Must have led multiple projects on MMM analytics.
  • Experience in pricing and promotion analytics is a plus.
  • Must have experience with Databricks.
  • Implemented Bayesian regression on Python. Exposure to libraries like NumPy, Pandas, Scikit-learn, PyMC3.
  • Hands-on experience in PowerPoint/Excel is a must.
  • Strong logical, analytical, and problem-solving skills.
  • Adept at report writing and presenting findings.
  • Excellent verbal and written communication skills.
What We Offer

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.

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