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 Data Scientist you will be at the forefront of solving high-impact business problems using advanced machine learning, data engineering, and analytics solutions. The role demands a balanced mix of technical expertise, stakeholder management. You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML to generate reliable, actionable insights. Partnering closely with business and cross-functional teams, you will translate hypotheses into robust analytical models, validate outcomes with statistical rigor, and clearly communicate results to drive data-backed decision-making and measurable business value.
Key Responsibilities
- Apply statistical techniques and machine learning methods to solve complex business problems.
- Build, validate, and deploy predictive and analytical models using Python.
- Perform data extraction, transformation, and analysis using SQL across large datasets.
- Work on causal inference techniques such as causal ML, matching models, or uplift modeling to evaluate business interventions.
- Collaborate with product, business, and engineering teams to translate requirements into scalable data solutions.
- Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
- Ensure data quality, model performance, and continuous improvement of analytical workflows.
Requirements
- 8 years of experience in data science and ML models
- Hands-on expertise in Python and SQL for data analysis and modelling.
- In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or Auto ML.
- Strong problem-solving skills with the ability to work independently on end-to-end data science projects.
- Excellent communication skills and stakeholder management experience.
- Solid understanding of regression, classification, and statistical 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.
Skills Required
- 8 years of experience in data science and ML models
- Hands-on expertise in Python
- Hands-on expertise in SQL
- In-depth experience with A/B testing or similar methodologies such as Causal ML, Matching Models, or AutoML
- Strong problem-solving skills and ability to work independently on end-to-end projects
- Excellent communication skills and stakeholder management experience
- Solid understanding of regression, classification, and statistical methods
Tiger Analytics Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Tiger Analytics and has not been reviewed or approved by Tiger Analytics.
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Fair & Transparent Compensation — Feedback suggests pay is viewed as fair and market-aligned for many roles and geographies. Consistent, on-time pay and competitive packages in key markets reinforce a generally positive baseline.
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Healthcare Strength — Feedback suggests U.S. medical coverage is strong, with administration via a known benefits platform and plan options seen positively. Health insurance is often regarded as a bright spot within the package.
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Leave & Time Off Breadth — Feedback suggests generous PTO, paid sick days and holidays, and flexible PTO alongside remote-work options. These elements indicate broad time-off provisions available on paper.
Tiger Analytics Insights
What We Do
Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.
