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Tiger Analytics Inc.

Senior Data Scientist

LocationSt. Louis, Missouri, United States
Typefull-time
SenioritySenior
Experience8+ yrs
DepartmentData Science
Company size5,001–10,000 people
PostedJun 5, 2026 · 4mo ago
Verified live5h ago
At a glanceSummarised by Seekless from the posting.
Must have6
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
Skills
Python
SQL
AutoML
About the company
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.
About the role
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.
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