Senior Data Scientist
St. Louis, Missouri, United States
- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingBuild, validate and deploy predictive and analytical models in Python
Design and analyze A/B tests and causal inference studies
Extract and analyze large datasets using SQL
Apply uplift and causal ML methods to evaluate business interventions
Present findings and recommendations to technical and non-technical stakeholders
From the employer’s posting
Build, validate, and deploy predictive and analytical models using Python.
You will design and analyze A/B tests and apply advanced techniques such as causal inference, matching models, and AutoML
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.
Present insights, findings, and recommendations clearly to technical and non-technical stakeholders.
What you’ll bring
All qualificationsCore experience
- 8 years of experience in data science and ML models
- Hands-on expertise in Python and SQL
- In-depth experience with A/B testing or similar methods (Causal ML, Matching Models, AutoML)
- Solid understanding of regression, classification and statistical methods
- Ability to work independently on end-to-end data science projects
Qualification wording
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.
Solid understanding of regression, classification, and statistical methods
Strong problem-solving skills with the ability to work independently on end-to-end data science projects.
Tools in this posting
- Python
- SQL
Source — Tool mentions in context
- 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.
- 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.
- 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.
Posting record
Report an errorOpen 4 monthsWe first saw this posting 145 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 6, 2026 · 145 days ago
- Recorded sightings
- 238
- Last seen by us
- Oct 30, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
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.
Source details
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
St. Louis, Missouri, United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
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