At NiCE, we don’t limit our challenges. We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you.
So, what’s the role all about?
As a Senior Data Science Researcher in our Workforce Management group, you will be part of a cross-sectional team working at the intersection of machine learning, GenAI, agentic AI, ML-Ops and Operations Research. You will develop the next generation of NICE’s Workforce Management solution for our customers’ contact centers - forecasting work volume, scheduling agent shifts, managing time-off requests, and owning the full lifecycle of the work schedule, in a high-stakes production environment serving many customers. Our solution has been recognized as the market leader for over 10 years.
How will you make an impact?
- Developing end-to-end ML systems, tailored to specific project needs, to train and serve production-level models in a high-stakes environment.
- Deploying GenAI and agentic AI systems to customers in production, improving on existing solutions or creating new services from scratch.
- Designing and building agentic AI flows - tool use, multi-step reasoning, and orchestration.
- Forecasting work volume and optimizing shift schedules using time-series methods and mathematical optimization.
- Integrating new features and solutions into large existing software systems, stringing multiple disciplines together.
- Running unstructured evaluation processes - finding noteworthy phenomena, experimenting, and feeding conclusions back to the team.
- Owning projects end-to-end, leading team members and colleagues to efficient planning and delivery.
Have you got what it takes?
- 5+ years of experience as an applied researcher or research engineer.
- Loves reading and writing code.
- Hands-on Python developer - training models, using trained models, data carpentry, preprocessing and analysis.
- Hands-on with PyTorch.
- ML-Ops and cloud experience - deploying and serving models on AWS or another cloud provider.
- Experience with mathematical optimization (e.g. Gurobi).
- Hands-on experience designing and building agentic AI flows.
- Effective Claude user.
- Independent and analytical thinker - capable of running unstructured evaluations and driving conclusions.
- Experience working in an agile environment.
You will have an advantage if you also have:
- MSc in Computer Science or an equivalent engineering field.
- Experience with HuggingFace, scikit-learn, and pandas/SQL.
- Containerization with Docker.
- LLM-specific experience: RAG, fine-tuning, evaluation frameworks.
What’s in it for you?
Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!
Enjoy NiCE-FLEX!
At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.
#LI-Hybrid
Requisition ID: 11110
Reporting into: Group Lead, Data Science, CX
Role Type: Individual Contributor
About NiCE
NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.
Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.
NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.
Skills Required
- 5+ years of experience as an applied researcher or research engineer
- Hands-on Python developer
- Hands-on with PyTorch
- ML-Ops and cloud experience - deploying models on AWS
- Experience with mathematical optimization (e.g. Gurobi)
- Experience working in an agile environment
NICE Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NICE and has not been reviewed or approved by NICE.
-
Healthcare Strength — Benefits are described as broad and comprehensive, spanning medical, dental, vision, life, disability, and mental-health support. Added programs like FSA options and fitness stipends contribute to a well-rounded health and wellness offering.
-
Retirement Support — A 401(k) is part of the package, sometimes paired with match details that are described as typical to stronger depending on role and time period. Employee stock participation is also positioned as an additional long-term wealth-building component for eligible roles.
-
Flexible Benefits — Flexible work arrangements are emphasized, including hybrid setups and remote options for some roles. Flex scheduling, paid holidays, and paid sick time add to the perceived flexibility of the overall rewards package.
NICE Insights
What We Do
NICE (Nasdaq: NICE) is the worldwide leading provider of both cloud and on-premises enterprise software solutions that empower organizations to make smarter decisions based on advanced analytics of structured and unstructured data. NICE helps organizations of all sizes deliver better customer service, ensure compliance, combat fraud and safeguard citizens. Over 25,000 organizations in more than 150 countries, including over 85 of the Fortune 100 companies, are using NICE solutions. www.nice.com.
