Operations scientist Job at Randstad (Witney)

Data Scientist (with Operations Research focus)

As a Data Scientist, you will work on developing innovative data-driven solution...

Location

Hungary , Budapest

Salary:

Not provided

Randstad

Expiration Date

July 31, 2026

Requirements

Master's degree in a quantitative field (e.g., Data Science, Mathematics, Econometrics)
Experience in data science or operations research (5–7+ years)
Strong programming skills in Python and/or R
Solid knowledge of SQL and data analysis
Experience with machine learning, optimization, and NLP techniques
Strong communication skills to translate technical insights to business users

Job Responsibility

Translate business problems into machine learning and optimization models
Perform in-depth data analysis using statistical and programming techniques
Develop and deploy predictive and prescriptive models
Define and monitor KPIs and model performance
Collaborate with product owners and stakeholders to identify business opportunities
Convert analytical solutions into production-ready products
Support incident management and model reliability
Share knowledge and coach colleagues in data science

What we offer

A dynamic and international environment
Opportunity to work on real-world, large-scale problems
Strong focus on personal development and growth
Hybrid working and flexibility
Benefits such as travel discounts and learning budget

Fulltime

Flex Senior Manager, Operations Research Scientist

Applies advanced computational techniques in the development of business solutio...

Location

United States , Bethesda

Salary:

53.07 - 83.70 USD / Hour

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Graduate degree in a rigorous quantitative, technical or scientific subject, including Operations Research, Statistics, Mathematics, Data Science, Data Engineering, Computer Science or Engineering. Bachelors' degree + 5 years' experience in the field can be substituted for the advanced degree requirement
2+ years' industry or research experience
applying analytical and programming skills with data-intensive, complex modeling or systems development problems. Experience designing or supporting analytical systems, focusing on model quality and code efficiency
Software engineering skills (e.g. distributed computing, object-oriented development, data cleansing, algorithms, and data structures) with 2+ years development experience
Knowledge and experience coding with Python (pandas / Numpy / SciPy), Java or C/C++, SQL at an advanced level with an understanding of complexity theory
An inherent curiosity in researching and developing solutions to complex and often open-ended business problems
An ability to explain and present mathematical concepts and results to technical and non-technical audiences
Strong communications skills and ability to work within a team
Knowledge of relational databases

Job Responsibility

Applies advanced computational techniques in the development of business solutions to data-intensive problems in the hospitality industry
Works as part of a team supporting revenue-impacting data analysis and modeling applications
Provides pricing and statistical modeling and technical expertise
Performs undirected research on large volumes of data to reach business conclusions and recommendations
Contributes complex programming and analysis in revenue management and sales systems
Analyzes data and builds innovative models to deliver business solutions
Functions as a subject matter expert in all phases of the project lifecycle – inception, prototyping, design, testing, rollout and support
Trains and/or mentors other team members, and peers as appropriate
Provides leadership on solution structure, tasks, timeline and estimates for revenue management deliverables
Partners with planning teams to articulate possible solutions to business problems and to develop requirements for new models

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical
dental
vision
health care flexible spending account

Fulltime

Operations Research Scientist

You will drive manufacturing excellence through advanced optimization at Hadrian...

Location

United States , Los Angeles

Salary:

160000.00 - 240000.00 USD / Year

Hadrian Automation

Expiration Date

Until further notice

Requirements

Expert knowledge of optimization solvers (OR-Tools, Gurobi, CPLEX)
Strong background in mathematical optimization (LP, MIP, CP)
Experience with production scheduling and capacity planning
Proficiency in Python and optimization libraries
Understanding of manufacturing processes and constraints
Experience with forecasting and demand planning
Knowledge of queueing theory and simulation
Ability to translate business problems into mathematical models
Strong statistical and analytical skills
Experience deploying optimization models in production

Job Responsibility

Design and implement production scheduling algorithms using CP-SAT and MIP solvers
Build capacity planning models that balance demand with resource constraints
Develop queue management systems to optimize throughput and reduce wait times
Create demand forecasting models using modern time series techniques
Optimize inventory levels across raw materials and work-in-progress
Design tool allocation algorithms considering utilization and maintenance
Implement robust optimization for uncertain demand and processing times
Explore RL approaches for dynamic scheduling and queue management
Build simulation models to validate optimization strategies
Develop APIs and tools for real-time decision support

What we offer

Medical, dental, vision, and life insurance plans for employees
401k
Relocation support may be provided for certain situations, based on business need
Flexible vacation policy

Fulltime

Senior/Principal Computer Scientist - Optimization & Operations Researcher

The Discrete Math and Optimization Department advances mathematical and computat...

Location

United States , Albuquerque

Salary:

117500.00 - 235700.00 USD / Year

Sandia National Laboratories

Expiration Date

Until further notice

Requirements

Bachelor's degree in a relevant discipline and five (5) years of directly relevant experience, or an equivalent combination of directly relevant education and engineering or scientific experience that demonstrates the knowledge, skills, and ability to perform independent research and development
Ability to obtain and maintain a DOE Q clearance
Graduate degree in Computer Science or a highly related field where an independent research project was a graduation requirement
Strong verbal and written communication skills, ability to work effectively in multidisciplinary teams, and a passion to improve and expand technical skills
PhD in Applied Mathematics, Computer Science, Engineering, Operations Research, or a closely related quantitative field, along with a Bachelor's degree in a STEM discipline
Demonstrated experience with major optimization paradigms, including Linear Programming (LP), Mixed-Integer Programming (MIP), Stochastic Programming, and/or Nonlinear Programming (NLP), or advanced Constraint Programming
Proficiency in Python and experience with modern software development and engineering practices, including version control (e.g., GitLab), testing, and collaborative coding workflows
A record of peer-reviewed publications and presentations at major scientific conferences demonstrating research leadership, combined with a history of successful project delivery, implementation, and/or technology transfer
Proven experience as a constructive and inclusive team lead or member within a diverse, interdisciplinary research environment, demonstrating responsibility and responsiveness in project execution
Expertise in theoretical and computational aspects of Mixed Integer Programming (MIP), Stochastic Programming, and other algorithms for discrete optimization

Job Responsibility

Designing and implementing novel optimization algorithms and advanced operations research methods
Applying mathematical modeling to critical domains, including power grid modeling and analysis, cybersecurity, process systems engineering, and national security logistics
Developing robust, scalable software tools that empower mission partners and advance the capabilities of the global scientific community
Collaborating across disciplines to bridge the gap between theoretical mathematics and practical, real-world applications and solutions
Sharing results via high-impact publications and presentations to funding agencies, stakeholders, and the broader research community

What we offer

Challenging work with amazing impact that contributes to security, peace, and freedom worldwide
Extraordinary co-workers
Some of the best tools, equipment, and research facilities in the world
Career advancement and enrichment opportunities
Flexible work arrangements for many positions include 9/80 (work 80 hours every two weeks, with every other Friday off) and 4/10 (work 4 ten-hour days each week) compressed workweeks, part-time work, and telecommuting (a mix of onsite work and working from home)
Generous vacation, strong medical and other benefits, competitive 401k, learning opportunities, relocation assistance and amenities aimed at creating a solid work/life balance

Fulltime

Data Scientist – Music Publishing Operations

We’re partnering with our client, a leading company in music and entertainment, ...

Location

United States , New York

Salary:

50.00 - 53.00 USD / Hour

Onward Search

Expiration Date

Until further notice

Requirements

Must have experience with Looker or Tableau
advanced Python automation
understanding of music industry licensing
skills in building operational tools for process improvement
proven experience managing all aspects of the data science workflow, from data cleaning to modeling
proficiency in SQL and working with large, complex datasets
intermediate skills in Python programming
ability to communicate technical findings effectively to non-technical stakeholders
strong focus on data quality, accuracy, and repeatability
familiarity with integrating AI tools into data workflows

Job Responsibility

Develop and maintain recurring reports to support business analytics and operational oversight
handle incoming data requests, including ad hoc analysis and data extraction
collaborate with cross-disciplinary teams to translate complex licensing and publishing questions into clear analytical problems and insights
create reliable data products, such as dashboards and datasets, to facilitate data-driven decision-making
design automation workflows to streamline processes, reduce manual effort, and ensure operational precision

What we offer

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

Fulltime

Data Scientist – Music Publishing Operations

We’re partnering with our client, a leading company in music and entertainment, ...

Location

United States , New York

Salary:

50.00 - 53.00 USD / Hour

Onward Search

Expiration Date

Until further notice

Requirements

Must have experience with Looker or Tableau
advanced Python automation
understanding of music industry licensing
skills in building operational tools for process improvement
proven experience managing all aspects of the data science workflow, from data cleaning to modeling
proficiency in SQL and working with large, complex datasets
intermediate skills in Python programming
ability to communicate technical findings effectively to non-technical stakeholders
strong focus on data quality, accuracy, and repeatability
familiarity with integrating AI tools into data workflows

Job Responsibility

Develop and maintain recurring reports to support business analytics and operational oversight
handle incoming data requests, including ad hoc analysis and data extraction
collaborate with cross-disciplinary teams to translate complex licensing and publishing questions into clear analytical problems and insights
create reliable data products, such as dashboards and datasets, to facilitate data-driven decision-making
design automation workflows to streamline processes, reduce manual effort, and ensure operational precision

What we offer

Medical, Dental, and Vision Insurance
Life Insurance
401(k) Program
Commuter Benefit
eLearning and Ongoing Training
Education Reimbursement

Fulltime

Staff Data Scientist, Care Team Operations

As a Staff Data Scientist, you will join our Data team to help us build and main...

Location

United States

Salary:

191250.00 - 225000.00 USD / Year

Thyme Care

Expiration Date

Until further notice

Requirements

Deep experience working with healthcare data such as electronic health records, claims, or prior auth
Deep expertise in analytics, data modeling, and data transformation
Deep expertise in dbt and SQL, with experience designing, rebuilding, and owning complex data models and pipelines
A working knowledge of Python or R and experience with Looker or similar BI tools for data analysis and visualization is a plus
Experience with large healthcare datasets, ideally in a healthcare-focused technology startup, health plan, or provider group with mature data structures and pipelines
Experience with medical claims, pharmacy claims, eligibility files, and other relevant healthcare data is essential for building data marts for reporting and analysis
Strong proficiency in dbt and SQL to build and maintain data models and pipelines
Clear communication
Comfort with ambiguity

Job Responsibility

Gain a deep understanding of our data platform and lead improvements to our core data models and pipelines
Own and lead the development of data models that make it possible to analyze the nuances of our internal operational systems
Establish key KPIs and reporting standards that help stakeholders make our operations more efficient
Partner with stakeholders to understand and translate their business requirements into technical plans
Play a key role in building our data infrastructure and creating a roadmap for scalable and modular data architecture
Lead the development of utilization and quality metrics and serve as a domain expert for stakeholders across the company

What we offer

Equity
Bonus eligibility

Fulltime

New

Senior Data Scientist - Agentic Systems

The Global Marketing Engines and Experiences (E&E) team within Microsoft is resp...

Location

United States , Redmond

Salary:

119800.00 - 234700.00 USD / Year

Microsoft Corporation

Expiration Date

Until further notice

Requirements

Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 1+ year(s) data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 3+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience

Job Responsibility

AI-Native Operations
Design, build, and ship agentic capabilities that make the analytics team more AI-native, including co-PM agents that triage incoming work, monitor data science workstreams in Azure DevOps, and propose ticket updates that keep our backlog accurate without manual hygiene effort
Build PM-layer agents that read across the Azure Dev Ops (ADO) portfolio to surface risk, estimate effort on new requests, and recommend project plans that managers can adapt rather than write from scratch
Establish shared infrastructure and patterns — prompting, evaluation, orchestration, observability, guardrails — that let the rest of the team build downstream agents reliably
Analyst Delivery Acceleration
Develop LLM-powered internal tools and skills that compress the cycle from analytics request to delivered insight, including capabilities that draft, format, and pressure-test the standard inputs analysts produce for MBR, MMR, and leadership review rhythms
Identify the highest-friction parts of the analyst delivery flow and design generative AI interventions that remove rather than relocate the work
Partner with the analytics team to instrument adoption, measure time saved, and iterate based on real usage rather than projected value
Marketer-Facing Capabilities
Lead the design and delivery of marketer-facing generative AI capabilities, anchored by a conversational analytics agent that allows marketers across Brand, Product Marketing Management (PMM), Customer Insights, and demand generation to self-serve on the analytics questions they bring to the team today

What we offer

Eligible for benefits and other compensation

Fulltime

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