Senior Data Scientist - Statistical Analysis

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

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

We are looking for a Senior Data Scientist with deep expertise in statistical analysis, statistical modeling, program evaluation. strong coding capabilities to add to our team.

Key Responsibilities:

• Lead statistical analysis and modeling efforts for program evaluation and business impact assessment
• Design and execute evaluation methodologies (e.g., A/B testing, quasi-experimental designs, causal inference)
• Apply advanced statistical techniques such as regression, hypothesis testing, time-series analysis, and multivariate analysis
• Develop predictive and explanatory models to assess program outcomes and performance
• Translate complex analytical findings into clear, actionable insights for business and leadership stakeholders
• Work closely with cross-functional teams (product, business, strategy) to define evaluation metrics and success criteria
• Ensure data quality, statistical validity, and reproducibility of analyses
• Mentor junior team members and review analytical work for rigor and accuracy
• Collaborate, coach, and learn with a growing team of experienced Data Scientists.

Requirements

• 6-7 years of experience in Data Science, Advanced Analytics, or Statistical Modeling roles
• Strong foundation in statistics and probability with hands-on application in real-world programs
• Proven experience in program evaluation, impact measurement, or policy/business evaluation
• Expertise in statistical modeling techniques (linear/logistic regression, mixed models, time-series, causal models)
• Proficiency in Python or R for statistical analysis and modeling
• Strong SQL skills for data extraction and analysis
• Experience working with large, complex datasets
• Excellent communication skills with the ability to explain statistical results to non-technical audiences
• Experience with causal inference frameworks (PSM, DiD, uplift modeling, Bayesian methods)

Benefits

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.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.