Tiger Analytics is looking for experienced Data Scientists to join our fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.
As a Senior Data Scientist with strong expertise in graph theory and advanced data processing to join our Supply Chain Analytics team. The ideal candidate will have hands-on experience leveraging Python, PySpark, and graph-based approaches (preferably with NetworkX) to solve complex business problems in supply chain optimization.. You will develop efficient and accurate analytical models which mimic business decisions and incorporate those models into analytical data products and tools. You will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.
Key Responsibilities
- Design and manage A/B tests, multivariate tests, and holdout experiments across digital channels, products, and customer journeys.
- Partner with engineering to set up data pipelines and instrumentation ensuring test integrity and accurate tracking.
- Define and validate control and treatment groups, ensuring randomization and statistical soundness.
- Conduct post-experiment analysis using statistical and causal inference methods (e.g., t-tests, Bayesian modeling, regression discontinuity, CUPED).
- Quantify impact on KPIs such as conversion rate, retention, engagement, or ROI.
- Communicate experiment results, trade-offs, and business recommendations through clear visualizations and storytelling.
- Contribute to building scalable experimentation frameworks and dashboards.
- Automate experiment tracking, reporting, and governance.
- Advocate for best practices in hypothesis creation, sample sizing, and significance testing.
- Work closely with Product Managers, Marketers, Engineers, and Data Engineers to design testable initiatives.
- Enable teams to interpret and act on test results confidently.
Requirements
- 8+ years of professional experience in Data Science, Analytics, or related roles.
- Advanced degree in Statistics, Data Science, Economics, or related quantitative field.
- Exposure to machine learning-based experimentation, personalization, or recommendation systems.
- Strong knowledge of experimental design, causal inference, and statistical modeling.
- Proficiency in Python, R, or SQL for data manipulation and statistical analysis.
- Experience with experimentation platforms (e.g., Optimizely, Google Optimize, Adobe Target, or in-house test platforms).
- Solid grasp of A/B testing metrics, sample size calculations, and confidence intervals.
- Ability to translate complex test outcomes into clear business insights.
- Strong communication and stakeholder management skills.
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.
