Pay
$118K–$193K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 3,721 postings in the last year. Stated ranges, not salaries paid.
Senior Data Scientist - Operation Research
Dallas, Texas, United States
Open 3 months, first seen by us 93 days ago- Pay
- Pay not listedSimilar roles state $118K–$193K
- Work setting
Remote — work setting source
Work setup in the employer’s posting: Remote
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 postingRefactor existing Python optimization algorithms using object-oriented programming
Develop predictive models and optimization algorithms for inventory and allocation
Analyze large datasets to derive pricing optimization insights
Design and run experiments on replenishment and allocation strategies
Monitor supply chain KPIs and recommend continuous improvements
From the employer’s posting
Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
What you’ll bring
All qualificationsCore experience
- Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
- Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
- Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
- Ability to apply various analytical models to business use cases
Qualification wording
Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
Ability to apply various analytical models to business use cases
Education & alternatives
- Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation. - MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field. - Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
Posting record
Report an errorOpen 3 monthsWe first saw this posting 93 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
- Aug 4, 202693 days ago
- Recorded sightings
- 196
- Last seen by us
- Nov 5, 2026
- Reposted
- once since May 25, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.
How this job compares
Time since we first saw it
Day 93
Up longer than most. Similar jobs usually come down between day 7 and day 56.
At Tiger Analytics, jobs usually come down by about day 68.
From 10,204 similar postings that came down, and 25 of Tiger Analytics’s. Coming down is not always a hire.
Tiger Analytics is hiring
64 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
- 2% 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
- PySpark
Where the posting names them
Key Responsibilities: - Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming - Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
- Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts. - Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries. - Ability to apply various analytical models to business use cases
Your next step
Complete your application on apply.workable.com. The employer’s form will show what is required.
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Has Tiger Analytics posted this job before?
Yes. We’ve followed 3 other Senior Data Scientist - Operation Research jobs there since May 2026. 2 came down, usually after about 53 days. One is still up.
Large employers often post one title for several teams, so these can be separate openings.
Demand for Data Scientist roles
New Data Scientist postings at the employers we follow are down 3% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 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 pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.
We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
We are looking for a Senior Data Scientist with a good blend of data analytics background, practical experience in Operation research strategies and Pricing Analytics within supply chains, and strong coding capabilities to add to our team.
Key Responsibilities:
- Responsible for refactoring the Optimization algorithm written in Python using Object Oriented Programming
- Work on the latest applications of data science to solve business problems in the Supply chain and optimization space of Retail and/or CPG.
- Utilize advanced statistical techniques and data science algorithms to analyze large datasets and derive actionable insights related to Pricing Optimization.
- Develop and implement predictive models and optimization algorithms to improve inventory management, reduce stockouts, and optimize resource allocation across the supply chain.
- Collaborate with cross-functional teams to understand business requirements and translate them into data-driven solutions.
- Design and execute experiments to evaluate the effectiveness of different replenishment strategies and allocation policies.
- Monitor and analyze key performance indicators (KPIs) related to replenishment and supply chain allocation, and provide recommendations for continuous improvement.
- Stay abreast of industry trends and best practices in data science, replenishment optimization, and supply chain management, and leverage this knowledge to drive innovation within the organization.
- Collaborate, coach, and learn with a growing team of experienced Data Scientists.
Requirements
- Proven experience 10+ years working as a Data Scientist, with a focus on supply chain optimization and inventory allocation.
- MS or PhD in Computer Science, Operations Research, Applied Mathematics, Machine Learning, or a related field.
- Experience with using mathematical programming solvers such as Gurobi, Xpress MP, CPLEX, or Google OR Tools in applications.
- Solid understanding of statistical methods, optimization techniques, and predictive modelling concepts.
- Strong proficiency in programming languages such as Python, Pyspark and SQL, and experience working with data analysis and machine learning libraries.
- Ability to apply various analytical models to business use cases
- Exceptional communication and collaboration skills to understand business partner needs and deliver solutions and explain to business stakeholders.
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
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Dallas, Texas, United States
Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce. We are also market leaders in AI and analytics consulting in the CPG & retail industry with over 40% of our revenues coming from the sector. This is our fastest-growing sector, and we are beefing up our talent in the space.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.