Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Are you excited about applying advanced mathematical techniques to solve real-world optimization challenges? Do you enjoy working at the intersection of data science, software engineering, and operations research? If you're passionate about creating innovative solutions that drive impactful decision-making, this role could be for you.

What this role is:

As an Operations Research Engineer on the Workforce Engagement Management (WEM) Decision Science Team, you will design, develop, and implement advanced optimization models and algorithms to solve complex workforce planning and scheduling problems. You will work in a dynamic and collaborative environment, driving innovation and building state-of-the-art solutions for large-scale operational challenges.

What you’ll bring to the table:

To succeed, you should have a deep understanding of mathematical optimization, strong analytical skills, and the ability to design scalable solutions for intricate problems. You will collaborate with software engineers, data scientists, and product managers to deliver cutting-edge features that enhance workforce engagement and operational efficiency.

Some details about what you’ll do:

• Research, design, and implement optimization models for workforce planning, scheduling, and resource allocation.

• Develop innovative algorithms for solving deterministic, stochastic, and robust optimization problems.

• Collaborate with software engineering teams to integrate optimization models into scalable, production-grade systems.

• Work closely with data science teams to incorporate machine learning and data-driven insights into optimization processes.

• Build prototypes to demonstrate the feasibility and value of proposed solutions.

• Conduct rigorous testing and validation of optimization algorithms to ensure performance, scalability, and accuracy.

• Analyze complex operational problems, identify opportunities for improvement, and deliver innovative solutions.

• Present findings, methodologies, and results to stakeholders, demonstrating the value of optimization in workforce management.

• Contributes to the creation and maintenance of documentation.

• Stay updated on the latest advancements in operations research, mathematical modeling, and decision science.

Requirements:

• Bachelor’s or Master’s degree in Operations Research, Industrial Engineering, Mathematics, Computer Science, or a related field.

• 2+ years of experience in applying operations research techniques to real-world problems.

• Strong foundation in linear programming, integer programming, stochastic optimization, or other advanced optimization techniques.

• Proficiency in programming languages such as Python, Java, or C++, and experience with optimization libraries (e.g., Gurobi, CPLEX, FICO Express and/or open source solver such as COIN_OPT and LPSolve).

• Solid understanding of data structures, algorithms, and computational complexity.

• Experience working with large datasets and solving large-scale optimization problems.

• Familiarity with machine learning, artificial intelligence or data science techniques is a plus.

• Strong problem-solving mindset and a passion for innovation.

• Excellent communication and collaboration skills.

• Experience in developing optimization-based solutions in workforce management, transportation, logistic, or similar domains is a plus

• Knowledge of distributed systems and cloud technologies such as AWS is a plus

• Familiarity with agile development methodologies and CI/CD pipelines is a plus

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

Benefits:

• Medical, Dental, and Vision Insurance.

• Telehealth coverage

• Flexible work schedules and work from home opportunities

• Development and career growth opportunities

• Open Time Off in addition to 10 paid holidays

• 401(k) matching program

• Adoption Assistance

• Fertility treatments

More details about our company benefits can be found at the following link: https://mygenesysbenefits.com

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys empowers more than 8,000 organizations in over 100 countries to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, Genesys delivers the future of CX to organizations of all sizes so they can provide empathetic, personalized experience at scale. As the trusted platform that is born in the cloud, Genesys Cloud helps organizations accelerate growth by enabling them to differentiate with the right customer experience at the right time, while driving stronger workforce engagement, efficiency and operational improvements. Visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you or someone you know may reach out to HR@genesys.com. You can expect a response from someone within 24-48 hours. To ensure we set you up with the best reasonable accommodation, please provide them the following information: first and last name, country of residence, the job ID(s) or (titles) of the positions you would like to apply, and the specific reasonable accommodation(s) or modification(s) you are requesting.

This email is designed to assist job seekers who seek reasonable accommodation for the application process. Messages sent for non-accommodation-related issues, such as following up on an application or submitting a resume, may not receive a response.

Genesys is an equal opportunity employer committed to equity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.