Senior Data Scientist
Tiger Analytics Inc. Open · verified Oct 24, 2026 At a glance
Senior Data Science role at Tiger Analytics Inc. St. Louis · full-time · no salary stated · we estimate $150,000–$205,000 across the United States.
Tiger Analytics Inc. has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Use statistical methods and machine learning to tackle complex business questions
- Build, test and deploy predictive models in Python, then improve them as needed
- Use SQL to extract, reshape and analyze large datasets
- Assess business interventions with A/B tests, causal methods, matching models or uplift modeling
- Turn team requirements into scalable data solutions and explain findings to technical and business audiences
What you bring
- At least eight years working in data science and machine learning
- You can analyze and model data hands-on with Python and SQL
- You have substantial experience with A/B testing or related causal, matching or AutoML approaches
- You understand regression, classification and statistical methods, and can own projects independently
Who this fits
This senior role suits someone comfortable taking data science work from initial question through delivery, while engaging business, product and engineering teams. The position is onsite in St. Louis.
From the employer
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.
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