This one is closed
Live roles like this one
- C 9h ago
-
B
8h ago
Upstart Anywhere in the World Salary Range $141,000
-
D
16h ago
Principal Data Scientist, Generative Recommendations & Agentic Orchestration- Sp
Cimpress/Vista Spain
- C 1d ago
See every "Mathematician" role →
Get new “Mathematician” roles by email
One email a day with what is new in "Mathematician". Nothing new, no email.
We confirm the address first, and every mail carries an unsubscribe link. Alerts are ours, not a third party's.
Why this grade This listing scored 58/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 15 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Freshness 12 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
This listing does not state a salary
$123k – $169k
That is the middle half of what comparable roles paid on this board over the last 90 days — 15 listings that did publish a figure, median $154k. It is not this employer's offer, and we have no idea what they pay. It is only what the rest of the market advertised.
Mid level Contractor
We are seeking an experienced Mathematician to support the development and optimization of mathematical models and algorithmic solutions within our sportsbook platform.
The ideal candidate will bring strong expertise in mathematics, probability, statistics, and algorithmic modeling, combined with a deep understanding of sportsbook mechanics and betting markets. The consultant will work closely with product, trading, and development teams to enhance odds models, improve automation capabilities, and contribute to the development of advanced data-driven solutions.
Key Responsibilities
- Design, review, and optimize mathematical models used in sportsbook trading, odds generation, and risk management.
- Support the development and improvement of algorithmic pricing and automated trading solutions.
- Analyze betting data, market behavior, and performance metrics to improve model accuracy and efficiency.
- Collaborate with Product, Trading, Data Science, and Engineering teams to implement scalable algorithmic solutions.
- Provide expert insights on probability models, margin optimization, and risk exposure management.
- Contribute to the development of data-driven strategies for sportsbook market automation and pricing efficiency.
- Evaluate existing algorithms and identify opportunities for optimization and performance improvement.
- Support the integration of new analytical approaches, including advanced statistical methods and machine learning techniques where relevant.
- Conduct research on industry best practices and emerging technologies in sportsbook modeling and algorithmic trading.
- Provide technical guidance and recommendations on mathematical frameworks used in sportsbook operations.
Requirements
- Strong academic background in Mathematics, Statistics, Data Science, Computer Science, or a related quantitative field.
- Proven experience working with mathematical modeling, statistical analysis, or algorithm development.
- Experience in sportsbook, betting technology, trading systems, or quantitative modeling environments is a strong advantage.
- Deep understanding of probability theory, statistical modeling, and data analysis.
- Experience working with large datasets and performance metrics.
- Familiarity with algorithmic systems, predictive models, or automated decision-making frameworks.
- Strong analytical and problem-solving skills.
- Ability to work closely with technical and product teams to translate mathematical concepts into practical solutions.
- Excellent communication skills with the ability to explain complex quantitative concepts to non-technical stakeholders.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
Quick question · anonymous · one tap
Would you apply to this job?
Answer to see what other job seekers said.
Your turn · no account needed
Help the next applicant
You may know something about this listing that we cannot see from here. One tap. No account needed. Signed-in reports earn points once the evidence agrees with you.
I know what it pays
Sign in with Google to earn points for reports — 100 confirmed points buy a week of Early Access.
Where this listing came from
- 22 Sep 2026 Himalayas first sighting
Seen on 1 board over 0 days.