Pay
$118K–$195K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,828 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist
St. Louis, Missouri, United States
Open 5 months, first seen by us 159 days ago- Pay
- Pay not listedSimilar roles state $118K–$195K
- 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
Before you apply
- Employer’s visa record
- 291 H-1B petitions approved in fiscal 2024 and 2025For the employer as a whole. This posting doesn’t say whether the role is sponsored. US Citizenship and Immigration Services.
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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 159 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, 2026159 days ago
- Recorded sightings
- 251
- Last seen by us
- Nov 12, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Time since we first saw it
Day 159
Up longer than most. Similar jobs usually come down between day 8 and day 60.
Well past Tiger Analytics’s usual: its jobs come down by about day 68.
From 11,606 similar postings that came down, and 27 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
74 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Data Scientist hiring is picking up
- Its jobs tend to stay up a long time
- 1% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
Where the posting names them
- 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.
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
Applying through Workable
- No account needed. You can import your resume to fill in the form, or skip that and fill it in yourself.
Already applied? Track this application
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 4% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
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
No clear work-authorization passage found. Eligibility is unconfirmed.