The Game Designer, Mathematician is a senior individual contributor responsible for designing the functional mechanics and mathematical models of original online casino games developed by RSI’s in-house game studio. The Game Designer defines features, bonus structures, paytable economics, and underlying math models that determine how games play, perform, and engage players, while also contributing to the design and optimization of site-wide promotional and gamification mechanics that reflect the RSI brand.

The Game Designer owns the full functional design-to-model lifecycle for each game, from initial concept and feature design through mathematical modeling, PAR sheet creation, simulation validation, and iterative tuning, in close collaboration with engineering, product, and creative teams. The position requires deep expertise in casino game mathematics and mechanics design, as well as the ability to develop compliant games within a fast-paced, regulated environment while delivering engaging, commercially viable player experiences aligned with the RSI brand.

What You'll Do:

• Design and define the functional mechanics for original online casino games, including base game structures, bonus round triggers and flows, progressive jackpot systems, gamble features, cascading/grid-style mechanics, and meta-game experiences
• Build the complete mathematical models for each game, including RTP targets, volatility profiles, hit frequency, standard deviations, prize distribution, and payout structures
• Create and maintain PAR sheets, combination sheets, and all regulatory math documentation required for internal review, testing laboratory certification and regulatory approvals
• Define symbol hierarchies, paytable structures, reel layouts (including non-traditional formats such as grid slots and cluster-pay), win-line configurations, and feature trigger conditions
• Build and run simulation code (Python, C++, C#, Javascript, or equivalent) to validate math models, verify behavior across gameplay scenarios, and test edge cases
• Write demo and prototype code to rapidly test mechanic concepts before full production commitment
• Evaluate existing casino concepts for adaptation into RSI’s online real money gaming environment
• Create comprehensive Game Design Documents (GDDs) and functional specifications for engineering, art, audio, and production teams
• Ensure all math models meet regulatory requirements across RSI’s operating jurisdictions, adapting designs for market-specific RTP ranges, win caps, odds requirements, and fairness standards
• Play-test and iterate on in-development games, providing feedback on math balance, mechanic feel, feature pacing, and edge case behavior
• Analyze post-launch game performance data and recommend math and mechanic adjustments to live games
• Maintain and contribute to RSI’s internal game design standards and style guides
• Collaborate with creative leads by providing functional specifications and mechanic requirements that inform visual and thematic direction
• Work with software engineers to verify math implementation in code and review game software during development
• Partner with designers and product managers to brainstorm concepts, refine games in progress, and share best practices

What You'll Bring:

• Bachelor’s degree in mathematics, statistics, applied mathematics, computer science, physics, engineering, or a closely related quantitative field required. Master’s degree or higher in a quantitative discipline preferred.
• 8+ years of direct, hands-on experience in slot game design and/or slot game mathematics within a land-based or online casino game studio environment. This is a non-negotiable requirement — candidates without direct slot game experience will not be considered.
• Expert-level knowledge of casino game mathematics: RTP calculation, volatility modeling, hit frequency analysis, standard deviation, prize distribution, combinatorics, and probability theory
• Proven ability to design engaging slot game mechanics across different gambling concepts and styles, including innovative feature structures, bonus flows, progressive/jackpot systems, and paytable economics
• Proficiency in building and running game math simulations and verification scripts using Python, C++, C#, Javascript or equivalent programming languages
• Advanced Excel skills for probability modeling, paytable prototyping, and large-dataset analysis
• Deep familiarity with PAR sheet creation and regulatory documentation standards for online and/or land-based slot games
• Strong understanding of player psychology, behavioral engagement patterns, and what makes slot games commercially successful
• Excellent communication skills with the ability to translate complex mathematical concepts into clear documentation for both technical and non-technical audiences #LI-REMOTE #LI-PROMOTE

The Game Designer, Mathematician is a senior individual contributor responsible for designing the functional mechanics and mathematical models of original online casino games developed by RSI’s in-house game studio. The Game Designer defines features, bonus structures, paytable economics, and underlying math models that determine how games play, perform, and engage players, while also contributing to the design and optimization of site-wide promotional and gamification mechanics that reflect the RSI brand.

The Game Designer owns the full functional design-to-model lifecycle for each game, from initial concept and feature design through mathematical modeling, PAR sheet creation, simulation validation, and iterative tuning, in close collaboration with engineering, product, and creative teams. The position requires deep expertise in casino game mathematics and mechanics design, as well as the ability to develop compliant games within a fast-paced, regulated environment while delivering engaging, commercially viable player experiences aligned with the RSI brand.

What You'll Do:

• Design and define the functional mechanics for original online casino games, including base game structures, bonus round triggers and flows, progressive jackpot systems, gamble features, cascading/grid-style mechanics, and meta-game experiences
• Build the complete mathematical models for each game, including RTP targets, volatility profiles, hit frequency, standard deviations, prize distribution, and payout structures
• Create and maintain PAR sheets, combination sheets, and all regulatory math documentation required for internal review, testing laboratory certification and regulatory approvals
• Define symbol hierarchies, paytable structures, reel layouts (including non-traditional formats such as grid slots and cluster-pay), win-line configurations, and feature trigger conditions
• Build and run simulation code (Python, C++, C#, Javascript, or equivalent) to validate math models, verify behavior across gameplay scenarios, and test edge cases
• Write demo and prototype code to rapidly test mechanic concepts before full production commitment
• Evaluate existing casino concepts for adaptation into RSI’s online real money gaming environment
• Create comprehensive Game Design Documents (GDDs) and functional specifications for engineering, art, audio, and production teams
• Ensure all math models meet regulatory requirements across RSI’s operating jurisdictions, adapting designs for market-specific RTP ranges, win caps, odds requirements, and fairness standards
• Play-test and iterate on in-development games, providing feedback on math balance, mechanic feel, feature pacing, and edge case behavior
• Analyze post-launch game performance data and recommend math and mechanic adjustments to live games
• Maintain and contribute to RSI’s internal game design standards and style guides
• Collaborate with creative leads by providing functional specifications and mechanic requirements that inform visual and thematic direction
• Work with software engineers to verify math implementation in code and review game software during development
• Partner with designers and product managers to brainstorm concepts, refine games in progress, and share best practices

What You'll Bring:

• Bachelor’s degree in mathematics, statistics, applied mathematics, computer science, physics, engineering, or a closely related quantitative field required. Master’s degree or higher in a quantitative discipline preferred.
• 8+ years of direct, hands-on experience in slot game design and/or slot game mathematics within a land-based or online casino game studio environment. This is a non-negotiable requirement — candidates without direct slot game experience will not be considered.
• Expert-level knowledge of casino game mathematics: RTP calculation, volatility modeling, hit frequency analysis, standard deviation, prize distribution, combinatorics, and probability theory
• Proven ability to design engaging slot game mechanics across different gambling concepts and styles, including innovative feature structures, bonus flows, progressive/jackpot systems, and paytable economics
• Proficiency in building and running game math simulations and verification scripts using Python, C++, C#, Javascript or equivalent programming languages
• Advanced Excel skills for probability modeling, paytable prototyping, and large-dataset analysis
• Deep familiarity with PAR sheet creation and regulatory documentation standards for online and/or land-based slot games
• Strong understanding of player psychology, behavioral engagement patterns, and what makes slot games commercially successful
• Excellent communication skills with the ability to translate complex mathematical concepts into clear documentation for both technical and non-technical audiences #LI-REMOTE #LI-PROMOTE

TBD

Position Overview

Zynga is looking for an experienced Game Mathematician to work on one of our existing popular games that run on mobile devices. We develop leading social casino games with a team of high caliber designers. As a Mathematician you will implement our game math models to create engaging experiences to captivate our players. 

Main Responsibilities

• As a member of the design team you will collaborate with game designers to build industry leading slot games to delight and engage our players.

• Provide detailed mathematical models for slot games and other game features.

• Offer detailed analysis and explanation of mathematical models.

• Develop and explore innovative functionality of slot games.

• Validate, simulate and sign-off mathematical models to ensure they work as intended.

• Troubleshoot with engineers on technical implementation on mathematical models.

Desired Skills and Experience

• Advanced degree in mathematics, computer science or related fields. 1+ year experience in social slot game design and mathematics. 

• Excellent working knowledge in combinatorics, statistics and probability theories.

• Some proficiency with Excel and programming.

• High degree of creativity and innovation on game designs and a proven ability to perform analysis on complicated concepts.

• Comfortable to work and research independently as well as in a team.

• Excellent understanding of successful elements of slot games.

What we offer you (Localize to the relevant office) 

• Zynga Stock RSUs and Bonus Plan

• Full medical, dental, vision benefits as well as life insurance

• Catered lunch daily

• Generous Paid Maternity/Paternity leave

• Open vacation policy for many employees

• Flexible working hours on many teams

• Casual dress every single day

• Work with cool people!

Zynga is an equal opportunity employer. We are proud of our diverse community; we do not discriminate on the basis of race, sex, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, medical condition, disability, or any other class or characteristic protected by applicable law. We welcome candidates, players, employees, and partners from all backgrounds. Join us!

Zynga will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law.

Zynga is committed to providing reasonable accommodation to applicants with disabilities.  If you need an accommodation during the interview process, please let us know.

Position Overview

Zynga is looking for an experienced Associate / Game Mathematician to work on one of our existing popular games that run on mobile devices. We develop leading social casino games with a team of high caliber designers. As a Mathematician you will implement our game math models to create engaging experiences to captivate our players. 

What you will do:

• As a member of the design team you will collaborate with game designers to build industry leading slot games to delight and engage our players.

• Provide detailed mathematical models for slot games and other game features.

• Offer detailed analysis and explanation of mathematical models.

• Develop and explore innovative functionality of slot games.

• Validate, simulate and sign-off mathematical models to ensure they work as intended.

• Troubleshoot with engineers on technical implementation on mathematical models.

What you will bring:

• Advanced degree in mathematics, computer science or related fields.

• 2+ year experience in social slot game design and mathematics. 

• Excellent working knowledge in combinatorics, statistics and probability theories.

• Some proficiency with Excel and programming.

• High degree of creativity and innovation on game designs and a proven ability to perform analysis on complicated concepts.

• Comfortable to work and research independently as well as in a team.

• Excellent understanding of successful elements of slot games.

What We Offer You :

Zynga offers a world-class benefits package that helps support and balance the needs of our teams. To find out more about our benefits, visit the Zynga Benefits

In a nutshell 

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. Beyond building models, you will productionize them with strong monitoring and seamless integration into operational systems. You will collaborate closely with stakeholders to ensure the right problems are solved and that solutions deliver real-world impact.

All using high quality data. Our data is registered, logged, and consistent, enabling you to focus on building and improving models rather than cleaning data. This role combines the skills of a consultant, software engineer, and applied mathematician.

Tricks of the trade

You will definitely:

• Identify and execute improvement possibilities together with other ML Engineers and (product) analysts 
• Collaborate on your project from inception to production, to continuous improvement
• Develop tools and enhancements for our cloud-based Machine Learning platform

You could work on various projects and fields, such as: 

• Demand forecasting: delivery, article, trip volumes, used Picnic-wide
• Fraud detection: helping us keep troublemakers out of our store
• Recommendation systems: generating useful in-app grocery suggestions 
• Search and ranking: helping our customers find exactly what they need
• Predicting delivery drop-off times: making sure we’re on-time at every customer’s door
• Vision: ensuring quality control and smooth operations within our warehouses 

Check out some of our previous machine learning projects here:  https://blog.picnic.nl/tagged/machine-learning

We’re looking for

• Master’s degree or higher in AI, Computer Science, Mathematics, or a related field
• 5+ years of experience in data science or applied machine learning 
• Excellent communication skills, you can clearly explain complex ideas in non-technical terms and enjoy working closely with business stakeholders to solve problems together
• Experienced in designing, deploying, and maintaining production ML systems, with solid software engineering and ML principles
• Strong Python and SQL skills
• Able to define the long-term vision and technical architecture for ML solutions within your domain
• Experience with Docker, Kubernetes, and CI is a plus

Picnic Perks 

🫱🏼‍🫲🏾 Teamwork makes the dream work

With more than 80 nationalities across 3 countries, you’ll be part of a diverse company with plenty of cool stuff to get involved with, from board game evenings to after-work drinks to our company ski trip and more!

💡 Make a difference

You’ll work in an awesome startup environment with the freedom to drive your own projects and create a visible impact. Our fully electric vehicles and sustainable business model mean you’ll also be contributing to making the world a better place! 

🥗 Fresh Lunch, coffee, and snacks 

Our offices are equipped with fully-fledged coffee bars and a kitchen and chefs. They prepare delicious fresh and warm lunches every day so you can keep your energy up.

🚲 Health insurance discount & bike plan

We have a partnership with CZ (a health insurance provider). Picnic employees get a discount on CZ insurance packages between 5% and 15%. Furthermore, through our partnership with Lease a Bike, you can rent-to-own a new (e)bike at a discounted rate

🌎 Relocation

If you’re moving from another country to join Picnic we make it as smooth as possible for you. We’ll cover your flight costs for you and your partner and kids, your first month's rent and moving costs (up to €2000), and help you with the 30% tax ruling setup and application. 

📆 All the rest 

At Picnic you get 25 holidays, we cover your travel expenses and offer a pension plan. And your phone and laptop are on us, as well. 

As a Senior Competitive Math Specialist, you will play a critical role in elevating our network’s competitive math programming by preparing our most advanced math scholars to compete—and win—at the most rigorous regional and national mathematics competitions.

This is a network-based position designed to expand and strengthen competitive math opportunities across multiple schools. You will work under the direction of the Network Math Team and in partnership with school-based leaders to design, implement, and refine a comprehensive competitive curriculum that prepares scholars for events such as MOEMS, AMC, NYML, AIME, USAMO, and HMMT.

The ideal candidate is a deeply knowledgeable mathematician with a strong understanding of the competitive math landscape. You are fluent in the problem-solving techniques, proof strategies, and advanced content areas required for high-level contests (including algebra, combinatorics, geometry, and number theory). You preferably have firsthand experience succeeding in these events and can translate that experience into structured preparation and inspiration for scholars.

This role requires someone who can cultivate a high-expectations, high-joy environment where scholars embrace challenge, persist through complex problems, and develop mathematical maturity. You will serve as both instructor and architect—leading scholar preparation, coaching school-based staff, and building systems that drive measurable competitive success.

We are seeking a confident, driven, and strategic leader who is committed to excellence and passionate about developing the next generation of mathematicians!

Qualifications:

Education:

• Bachelor’s degree in Mathematics or a related quantitative field required; advanced degree preferred.

Experience:

• Demonstrated success in advanced mathematics coursework

• Personal experience competing in high-level math competitions (e.g., AMC/AIME/USAMO/HMMT or similar).

• Preferred:

  • Meaningful positive competitive math experience — as a competitor, problem writer, or experienced coach to middle or high school scholars

  • Experience teaching or coaching in an environment where there was a culture of adult and scholar accountability

Skills:

• Disciplined, structured, and logical thinker.

• Deep content mastery across algebra, number theory, combinatorics, geometry, and proof-writing.

• Strong familiarity with the structure, scoring, and preparation pathways for national math competitions.

• Ability to be explicit about decision-making when solving complex, multi-step competition problems.

• Ability to design curriculum, problem sets, mock contests, and targeted skill drills.

• Strong data analysis skills to track scholar growth and adjust preparation strategies accordingly.

• Ability to manage and motivate high-performing scholars in rigorous academic settings.

• Exceptional communication skills to engage scholars, families, and school leaders.

• Organized with high levels of attention to detail.

• Ability to self-identify gaps in knowledge or skill and independently work to close them.

Key Responsibilities:

• Design and implement a vertically aligned competitive math curriculum across grades 6–9.

• Lead network-wide preparation for major competitions, including after-school programs, weekend intensives, and vacation boot camps.

• Coach scholars to qualify for and excel in State Mathcounts, AIME, USAMO, and national-level tournaments.

• Administer and analyze diagnostic assessments to identify high-potential scholars and track competitive benchmarks.

• Partner with school leaders and math teachers to integrate competition-style problem solving into core math instruction.

• Train and develop school-based competitive math coaches to ensure program sustainability and growth.

• Foster scholar resilience, intellectual curiosity, and a culture that celebrates mathematical rigor and achievement.

• Develop differentiated training pathways for scholars at varying readiness levels, from foundational competition exposure to elite-level proof writing.

• Ensure student safety and well-being during all programming.

Additional Expectations:

• Ability to travel between school sites across the Success Academy network.

• Flexibility to support programming outside traditional school hours (after school, select weekends, competition travel).

• Work collaboratively with network and school-based teams to ensure strong scholar outcomes.

• Uphold Success Academy’s standards for academic rigor, behavior, and professional excellence.

Success Academy Charter Schools is an equal opportunity employer and does not offer employment-based immigration sponsorship.

Position Summary

ANSER is seeking a Senior Computer Scientist to support AI/ML Quality Assurance Framework (QAF) efforts by integrating mathematics, statics, information science, AI, network science, probability modeling, data mining, data engineering, data warehousing, data compression, data protection, and/or other scientific techniques to correlate complex, technical findings into graphical, written, visual and verbal narrative products on trends of existing intelligence data to leverage other IC data sources.

Day-to-Day Responsibilities

• Design and execute Testing, Evaluation, Verification, and Validation (TEW) protocols
• to evaluate the performance, robustness, and fairness of AI systems in all source analysis ’contexts.
• Collaborate with the Statistician/Mathematician to develop and apply statistical models and methods to analyze TEW results and identify areas for improvement.
• Develop and implement corrective actions to address TEW findings and ensure AI
• system performance and robustness.
• Develop and implement AI system maintenance schedules to ensure continued system performance and robustness.
• Collaborate with stakeholders to identify and prioritize AI system improvements and updates.
• Develop and implement AI system updates and improvements to ensure compliance with
• tradecraft standards and best practices.
• Conduct technical assessments to ensure compliant use of AI systems for approved use
• cases in all source analysis.
• Evaluate AI system performance and adherence to tradecraft standards, and identify areas for improvement.
• Develop and maintain a repository of audit findings and recommendations to facilitate
• knowledge sharing and best practices across the organization.
• Support capability development by contributing, editing, and storing code in
• Government owned/controlled source version control repositories.
• Employ data science techniques to support predictive analysis, social across the Defense Intelligence Enterprise (DIE).

Required Qualifications

• TS/SCI with Poly Clearance
• Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related technical field.
• Twelve or more years of related experience in data science, analytics, or machine learning in support of intelligence or defense missions.
• High Proficiency in Python, R, and SQL, and experience with data visualization tools such as Power BI or Tableau.
• Strong knowledge of TEVV methodologies, bias detection, and fairness analysis for AI systems.
• Experience with predictive modeling, data mining, statistical analysis, and ML algorithms.
• Experience with knowledge graphs, semantic data modeling, and query languages (e.g., SPARQL, GraphQL).
• Experience developing, implementing, and evaluating AI/ML models for analytic efficiency and tradecraft compliance.
• Understanding of DoD 8570/8140 compliance standards for computer science and cybersecurity roles.

Preferred Qualifications

• Experience supporting DIA, IC, or DoD analytic modernization or OBI initiatives.
• Experience with distributed data processing, cloud-based analytics, or large-scale machine learning architectures.
• Demonstrated understanding of Object Based Intelligence frameworks.
• Experience with DoD 8570/8140 compliance and responsible AI policy frameworks.
• Experience working with in support of Defense Intelligence All-source Analytic Enterprise (DIAAE) OBI efforts, the Defense Intelligence Enterprise Knowledge Model (DIEKM), and Defense Intelligence Core Ontology (DICO).