Senior Data Scientist

Tiger Analytics, LLC; St. Louis (MO); On-site; USD 90,000 - 120,000; Full time

Job summary

Tiger Analytics, LLC is seeking an experienced Data Scientist to join their advanced analytics consulting firm in St. Louis, Missouri. The role involves applying statistical techniques and machine learning methods to generate actionable business insights. Candidates should have 8 years of experience, expertise in Python and SQL, and strong communication skills.

This is an excellent opportunity for career development and working on impactful business challenges with top-tier clients.

Qualifications

• 8 years of experience in data science and ML models.
• Hands-on expertise in Python and SQL for data analysis and modelling.
• Experience with A/B testing or similar methodologies.

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.

Skills

Data Science

Machine Learning

Python

SQL

Statistical Methods

A/B Testing

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.

Qualifications

• 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

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.