Lead Data Scientist - Research and Development - Graph Intelligence
Posted 3 days ago
Job Viewed
Job Description
Company : Highmark Health Job Description : JOB SUMMARY Are you an architect of interconnected data, driven by the belief that relationships hold the key to uncovering society's most complex challenges? Do you see medical records not just as disparate facts, but as a vast, dynamic network of patient journeys, disease progressions, and treatment efficacy? Highmark Health is seeking a groundbreaking Lead Data Scientist, Research & Development, specializing in Graph Intelligence, who will not just work with graph data, but will define the future of how we harness relational insights in healthcare. This is a premier R&D position where you will lead the charge in inventing and proving out transformative graph-native analytical solutions. Your core mission is to push the boundaries of what's possible in advanced analytics by pioneering novel methodologies that leverage network science, knowledge graphs, and Graph Machine Learning (GML) to solve critical problems across the healthcare continuum. From personalizing patient care pathways to detecting complex fraud rings and understanding population health dynamics, your work will directly impact millions of lives. As our Lead Graph Intelligence specialist, you will be the spearhead of cutting-edge research projects. This means deeply engaging with graph theory, building and enriching large-scale knowledge graphs, and developing next-generation Graph Neural Networks (GNNs), graph convolutional networks (GCNs), graph attention networks (GATs), and other advanced network algorithms. You'll architect unique graph embeddings, perform sophisticated link prediction, community detection, and anomaly detection on complex healthcare data. Your responsibilities will include designing rigorous experiments, building robust proof-of-concept models, and meticulously evaluating the performance and interpretability of these novel graph algorithms to ensure their real-world applicability. You are not merely a data scientist; you are a relational data innovator with a strategic mindset. You inherently understand that the explicit modeling of entities and their relationships unlocks a deeper layer of intelligence that traditional tabular or sequential data models cannot. You will proactively identify opportunities to construct and leverage comprehensive healthcare knowledge graphs, integrating diverse patient, provider, claims, and clinical data to uncover hidden patterns, propagate insights through networks, and develop groundbreaking analytical solutions that exploit the rich, multi-modal structures within healthcare. Leveraging your profound expertise in graph databases (e.g., Neo4j, ArangoDB, Amazon Neptune, Ontotext GraphDB), distributed graph processing frameworks (e.g., Apache Spark GraphX, Dask-Graph), and leading GML libraries (e.g., PyTorch Geometric, DGL, Spektral), you will conduct in-depth research, construct sophisticated predictive, prescriptive, and diagnostic models directly on graph structures. You will drive initiatives from theoretical concept to validated, scalable prototypes. You are a vigilant scout of the graph AI landscape, continuously scanning, rigorously evaluating, and championing the adoption of emerging graph platforms, algorithms, and tools. Furthermore, you will actively foster collaborations with leading academic institutions, healthcare research experts, and the broader graph community. Your contributions will extend to publishing seminal research findings in top-tier conferences and leading the dialogue on the transformative power of graph intelligence in healthcare. ESSENTIAL RESPONSIBILITIES Work directly with the business to understand their business processes and aims, then identify how analytical solutions could help deliver value for them. This would include being accountable for: Outlining complex new use cases + creating high level impact estimates. Identifying data elements needed and where to get them (including proxies). Assembling data sets independently using knowledge of Highmark operational and analytic data structures. Delivering the analytical solution to several complex business problems simultaneously. Documenting objectives, assumptions and processes and enriching/expanding our standards as needed Select and apply the appropriate advanced modeling/machine learning techniques to these data sets to deliver business insight, ensuring that the final analysis is well researched, accurate, and documented. This requires: Proficiency of a substantial number of advanced analytical techniques and mastery of a few, evidenced by in-depth knowledge and delivery record (for example regression models, tree-based learning, neural networks, clustering techniques, natural language processing) Consult with the business to contextualize and translate the results of our analysis in a form which the business can understand and act upon. This will include: Written reports, presentation and data visualizations, and draws clear lines between the high-level problem specifications for a broad range of audiences, the analyses performed, and how the results link directly back to business objectives, and lead implementation which drives frontline workflow. Plan, prepare and deliver/coordinate all elements of several analyses largely independently in such a way that it is delivered on time, to a high standard and ready to implement on a production basis (including dissemination through the Organization's user systems). This includes identifying the best route to implementation (developing the analytical solution accordingly). Expertise and in-depth understanding of subject, be the face of major projects within ED&A, external presence/earned credibility (conferences, white papers, local/national associations); mentoring/teaching others Other duties as assigned or requested. EDUCATION Required Master's degree in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology or related field OR Bachelor's Degree + 3 years of relevant work experience in lieu of a Master's Degree Preferred Doctoral degree (Ph.D.) in Analytics, Mathematics, Physics, Computer and Information Science, Engineering Technology, or a related field. EXPERIENCE Required 5 years of Data Science 3 years Data Science (if PhD Education) Preferred Deep Expertise in Graph Theory & Network Science: Comprehensive understanding of fundamental graph algorithms (centrality, community detection, pathfinding, clustering), knowledge graph principles, and network analysis techniques for complex systems. Advanced Graph Machine Learning (GML): Proven experience designing, implementing, and optimizing various Graph Neural Network (GNN) architectures, graph convolutional networks, and other graph-specific machine learning models for tasks like node classification, link prediction, and anomaly detection in graphs. Knowledge Graph Engineering: Hands-on experience in the entire lifecycle of knowledge graphs, including schema design (ontologies, RDF, OWL), data ingestion, graph construction, data cleaning, entity resolution, and advanced graph querying (e.g., Cypher, SPARQL). Graph Database & Platform Experience: Practical experience with one or more leading graph databases (e.g., Neo4j, Google Spanner Graph) and distributed graph processing frameworks. GML Libraries & Frameworks: Strong command of specialized GML libraries like PyTorch Geometric (PyG), Deep Graph Library (DGL), Spektral, or StellarGraph. Cloud Platform & MLOps: Experience deploying and managing ML models, particularly GML pipelines, in cloud environments (e.g., AWS, Azure, GCP) and familiarity with MLOps principles for research projects. Research & Publication Acumen: A track record of contributing to cutting-edge research, including peer-reviewed publications in top-tier conferences or demonstrated experience in driving novel solution development from concept to prototype. Healthcare Data Familiarity: Understanding of healthcare data domains (claims, clinical, EMR) and related ontologies or standards (e.g., SNOMED CT, ICD) is a significant plus. Experimental Design & Rigor: Demonstrated ability to design robust experiments, rigorously evaluate model performance, interpret complex results, and contribute to the scientific understanding of graph-based solutions. LICENSES OR CERTIFICATIONS Required None Preferred None SKILLS Analysis of business problems/needs Analytical and Logical Reasoning/Thinking Collaborative Problem Solving Data Analysis with SQL, BigQuery Statistical Analysis with Python, R Written & Oral Presentation Skills Basic proto-typing/front end skills Language (other than English) None Travel Required 0% - 25& PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS Position Type Office-Based Teaches / trains others regularly Occasionally Travel regularly from the office to various work sites or from site-to-site Never Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Frequently Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely Disclaimer: The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job. Compliance Requirement: This position adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies. As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy. Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements. Pay Range Minimum: $108,000.00 Pay Range Maximum: $201,800.00 Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets. Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at HRServices@ California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J267786 #J-18808-Ljbffr
Full-Time Cardiac Catheterization Laboratory Technician
Posted 1 day ago
Job Viewed
Job Description
POSITION SUMMARY: Performs diagnostic and interventional procedures as requested by physicians. Provides care for patients while obtaining diagnostic quality images for interpretation by a Radiologist/Cardiologist
Requirements
EDUCATION: High school diploma or equivalent. Graduation from accredited radiologic technology program.
CERTIFICATION/LICENSES: ARRT or Board eligible, New Mexico State licensure required. BLS certification required. For recent graduates, BLS certification required within six months of hire. ACLS obtained within the first year.
SKILLS:
- Thorough knowledge of associated radiographic equipment, neurologic and cardiovascular anatomy and physiology, radiographic positioning, medical terminology and basic computer skills
- Thorough knowledge of interventional procedures in Cardiology and Radiology preferred
- Ability to read, write, and communicate verbally in English.
EXPERIENCE: A graduate of an accredited radiologic technology program. One year radiologic experience preferred.
NATURE OF SUPERVISION:
-Responsible to: Manager, Cath Lab
ENVIRONMENT:
- Bloodborne pathogen C
Exposure to various body fluids and ionizing radiation.
Works in a clean, well-lighted, ventilated smoke-free environment. Subject to stressful professional relationships. Working hours are varied, with flexibility due to unexpected changes in schedule and emergencies.
PHYSICAL REQUIREMENTS: Lifts, positions, pushes and/or transfers patients and equipment in excess of 50 lbs.
Research Scientist
Posted 17 days ago
Job Viewed
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Research Scientist
Posted 17 days ago
Job Viewed
Job Description
Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page.
**Required Skills:**
Research Scientist Responsibilities:
1. Perform research and develop solutions to computer software and computer hardware problems.
2. Research, design, and develop new optimization algorithms and techniques to improve the efficiency and performance of Meta's platforms.
3. Design and implement large-scale distributed software systems to serve large numbers of complex requests simultaneously and without failure.
4. Utilize technical research background, train new ranking models, and run experiments.
5. Create tools for migrating large bodies of user data across systems for new products, scalability efforts, and development of new core infrastructure.
6. Use machine learning, statistics, or other data techniques to build algorithms.
7. Suggest, collect, and synthesize system requirements from stakeholders and create effective feature roadmaps.
8. Analyze and resolve computer challenges from a system engineering standpoint.
9. Work on problems of diverse scope where analysis of data requires evaluation of identifiable factors.
10. Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
11. Telecommute from anywhere in the U.S.
12. permitted.
**Minimum Qualifications:**
Minimum Qualifications:
13. Requires a Doctorate degree (or foreign equivalent) in Computer Science, Engineering, Information Systems, Analytics, Mathematics, Physics, Applied Sciences, or a related field
14. Position also requires completion of a university-level course, research project, internship, or thesis in the following:
15. 1. Algorithms, data structures, or systems software
16. 2. Solving analytical problems using quantitative approaches
17. 3. Gathering, manipulating, or analyzing complex, high-volume, high-dimensionality data from varying sources
18. 4. Communicating complex research in a clear, precise, and actionable manner
19. 5. Research in topics closely related to machine learning, NLP, recommendation systems, pattern recognition, signal processing, data mining, artificial intelligence, information retrieval, or computer vision
20. 6. Performing research that enables learning the semantics of data (images, video, text, audio, or other modalities) and advances the technology of intelligent machines
21. 7. Devising better data-driven models of human behavior
22. 8. Developing highly scalable classifiers and tools leveraging machine learning, statistics, regression, rules-based models, or mathematical models
23. and 9. Java, C++, Perl, PHP, or Python
**Public Compensation:**
$232,652/year to $290,180/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Research Scientist - CTRL Labs
Posted 8 days ago
Job Viewed
Job Description
Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.
**Required Skills:**
Research Scientist - CTRL Labs Responsibilities:
1. Research and develop Deep Learning or other computational models
2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
3. Set technical direction for a project of 2-3 researchers and engineers
4. Help transition and deliver our work from research into product
5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics
8. Experience with developing machine learning models at scale from inception to business impact
9. Programming experience in Python and hands-on experience with frameworks such as PyTorch
10. Exposure to architectural patterns of large scale software applications
11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)
13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
14. Experience bringing machine learning-based products from research to production
**Public Compensation:**
$177,000/year to $251,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Research Scientist - CTRL Labs
Posted 11 days ago
Job Viewed
Job Description
Reality Labs at Meta is seeking Research Scientists with experience in product-focused machine learning and signal processing research to advance our pioneering work in neuromotor interfaces, which has grown out of the acquisition of CTRL-labs. We're building a practical interface drawing on the rich neuromotor signals that can be measured non-invasively via surface electromyography (EMG) with single motor neuron resolution. This technology could become one of the main pillars for interaction with virtual and augmented worlds.We are a multi-disciplinary team of researchers investigating the nature of human neuromotor signals, developing novel signal processing and machine learning methods to infer a user's intent, and creating novel interaction techniques and user experiences. Help us unleash human potential by removing the bottlenecks between user intent and action.
**Required Skills:**
Research Scientist - CTRL Labs Responsibilities:
1. Research and develop Deep Learning or other computational models
2. Design methods, tools and infrastructure to analyze and leverage rich multimodal data sets
3. Set technical direction for a project of 2-3 researchers and engineers
4. Help transition and deliver our work from research into product
5. Adapt standard machine learning methods to best leverage modern parallel environments (e.g. distributed clusters, multicore SMP, and GPU)
**Minimum Qualifications:**
Minimum Qualifications:
6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
7. Ph.D. degree in Computer Science and Engineering, Electrical Engineering, Statistics/Mathematics
8. Experience with developing machine learning models at scale from inception to business impact
9. Programming experience in Python and hands-on experience with frameworks such as PyTorch
10. Exposure to architectural patterns of large scale software applications
11. Must obtain work authorization in the country of employment at the time of hire, and maintain ongoing work authorization during employment
**Preferred Qualifications:**
Preferred Qualifications:
12. Proven track record of achieving significant results as demonstrated by grants, fellowships, patents, as well as first-authored publications at peer-reviewed AI conferences (e.g. NeurIPS, CVPR, ICML, ICLR, ICCV, ACL, and ICASSP)
13. Demonstrated software engineer experience via an internship, work experience, coding competitions, or widely used contributions in open source repositories (e.g. GitHub)
14. Experience bringing machine learning-based products from research to production
**Public Compensation:**
$177,000/year to $251,000/year + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
Operations Research Data Scientist
Posted 2 days ago
Job Viewed
Job Description
Join Cardinal Health's Data Science Team!
The Data and Analytics Function plays a crucial role in overseeing the analytics life-cycle—identifying, analyzing, and presenting insights that directly influence business decisions and reveal opportunities for competitive advantage. If you are passionate about applying advanced quantitative modeling and scientific methodologies to solve complex business challenges using large data sets, we want to hear from you!
About the Team
We are excited to welcome a Data Scientist, Operations Research Analyst to our Decision Science Solutions (DS2) team. Our mission is to enhance pharmaceutical supply chain performance, allowing our pharmacy customers to focus on delivering better patient care. The DS2 team is composed of diverse professionals—Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. Together, we collaborate cross-functionally to tackle problems and leverage our combined skill sets for optimal outcomes. We specialize in:
- Designing and planning distribution center networks
- Optimizing facility layouts and warehouse capacity
- Improving warehouse processes
- Managing labor and automation
- Formulating strategies for inventory management
- Planning transportation logistics
- Conducting sales and operations planning
Your Role
As a Data Scientist specializing in Supply Chain Operations, you will utilize your expertise to explore business processes, systems, data, and analytical tools to identify and address root causes of issues. Key responsibilities include:
- Listening to clients to clarify business problems and requirements
- Conducting exploratory analysis to troubleshoot issues and validate hypotheses
- Building predictive models for forecasting demand and resource needs
- Creating customer and product segmentation models for tailored supply chain solutions
- Developing optimization and simulation models to recommend strategic changes
- Utilizing third-party software and custom-built models for prescriptive analytics
- Summarizing recommendations with financial and operational impact assessments
- Collaborating with Data Engineers to develop analytical data models
What We Seek
- 2-4 years of relevant experience
- Bachelor's degree in a quantitative field or equivalent experience
- Advanced degree (MS/MBA) in Data Science, Operations Research, or a related field is preferred
- Experience applying Data Science and Operations Research in logistics and supply chain management
- Proficiency in SQL and familiarity with database management
- Expertise in data analysis tools such as R, Python, Alteryx, Tableau, and SAS
- Familiarity with Strategic Network Design, Simulation (AnyLogic), or Mathematical Programming (CPLEX) is a plus
- Strong team player with proven analytical abilities
- Excellent communication skills with a knack for simplifying complex analyses
- Intellectual curiosity and a passion for helping others
- Willingness to take initiative and drive change
- Ability to travel up to 5%
What to Expect
- Engage with complex projects that demand innovative solutions
- Gain independence while receiving guidance on new tasks
- Life-changing experiences with a focus on professional growth
- Potential to mentor less experienced colleagues
Salary Range: $93,500 - $133,600
Bonus: Not eligible
Benefits: We offer a robust benefits package including medical, dental, and vision coverage, paid time off, 401k savings plan, health savings account (HSA), and more!
Application Deadline: Anticipated to close on 9/15/2025; apply early to secure your chance!
At Cardinal Health, we value a diverse workforce and are committed to equal opportunities for all applicants. We encourage individuals from all backgrounds to apply.
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Data Scientist, Operations Research
Posted 8 days ago
Job Viewed
Job Description
What Data Science contributes to Cardinal Health
The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
Department/Team Overview
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
-
Distribution center network design and capacity planning
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Facility layout and design; warehouse capacity and utilization
-
Warehouse process improvement
-
Labor management and automation
-
Inventory management: stocking strategies and replenishment policies
-
Transportation planning: first mile, middle mile, and final mile
-
Sales and operations planning (resource management in response to demand changes)
Responsibilities
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
-
Listen to clients and ask questions to clearly define business problems.
-
Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
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Develop predictive models to forecast future volumes that will drive capacity/resource needs.
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Develop customer and product segmentation models and design our supply chain to support differentiated services.
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Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
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Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
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Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
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Work with Data Engineers to create data models for analyses.
Qualifications
-
2-4 years of experience, preferred
-
Bachelor's degree in a quantitative field, or equivalent work experience, preferred
-
MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
-
Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
-
Experience with Structured Query Language (SQL) and working with databases preferred
-
Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
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Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
-
Proven ability to work as part of a team as the key analytical resource
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Excellent communication skills with an ability to explain quantitative analysis in simple business terms
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Intellectual curiosity, humility, genuine respect and desire to help others
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Bias for action and passion for driving change
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Ability to travel up to 5%
What is expected of you and others at this level
-
Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
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May contribute to the development of policies and procedures
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Works on complex projects of large scope
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Develops technical solutions to a wide range of difficult problems
-
Solutions are innovative and consistent with organization objectives
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Completes work; independently receives general guidance on new projects
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Work reviewed for purpose of meeting objectives
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May act as a mentor to less experienced colleagues
Anticipated salary range: $93,500 - $133,600
Bonus eligible: No
Benefits: Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
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Medical, dental and vision coverage
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Paid time off plan
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Health savings account (HSA)
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401k savings plan
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Access to wages before pay day with myFlexPay
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Flexible spending accounts (FSAs)
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Short- and long-term disability coverage
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Work-Life resources
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Paid parental leave
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Healthy lifestyle programs
Application window anticipated to close: 9/15/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply.
Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law.
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Data Scientist, Operations Research
Posted 18 days ago
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Job Description
The Data and Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems.
**_Department/Team Overview_**
We are looking for a Data Scientist, Operations Research Analyst to join our Decision Science Solutions (DS2) team. Our mission is to improve our pharmaceutical supply chain's performance to better service our pharmacy customers, so that they can focus on their patients. The DS2 team consists of Supply Chain Data Scientists, Operations Research Analysts, Data Analysts, and Data Engineers. We work cross-functionally to solve problems leveraging a variety of skillsets and perspectives to achieve the best outcomes. We perform analyses, recommend solutions, and build products to enable better decision making in the following areas:
+ Distribution center network design and capacity planning
+ Facility layout and design; warehouse capacity and utilization
+ Warehouse process improvement
+ Labor management and automation
+ Inventory management: stocking strategies and replenishment policies
+ Transportation planning: first mile, middle mile, and final mile
+ Sales and operations planning (resource management in response to demand changes)
**_Responsibilities_**
As a Data Scientist in Supply Chain Operations, you will apply your knowledge of business processes, systems, data, and analytical tools to explore and identify root causes of problems. You will forecast future demand, build optimization and simulation models, and communicate actionable insights. You will work with cross-functional project teams to ideate, develop, and recommend solutions. Specific responsibilities are to:
+ Listen to clients and ask questions to clearly define business problems.
+ Perform exploratory analysis to determine root causes of problems and confirm/disprove hypotheses.
+ Develop predictive models to forecast future volumes that will drive capacity/resource needs.
+ Develop customer and product segmentation models and design our supply chain to support differentiated services.
+ Build optimization and simulation models to recommend capacity investments, resource plans, policy changes, and process changes to improve supply chain performance.
+ Develop prescriptive models using 3rd party optimization/simulation software and custom-build models.
+ Recommend solutions. Summarize the financial and operational impact of the recommendation and pros/cons of alternatives considered.
+ Work with Data Engineers to create data models for analyses.
**_Qualifications_**
+ 2-4 years of experience, preferred
+ Bachelor's degree in a quantitative field, or equivalent work experience, preferred
+ MS/MBA with focus in Data Science, Operations Research, Industrial Engineering, or Statistics preferred
+ Demonstrated ability to apply Data Science and Operations Research techniques to logistics and supply chain management problems preferred
+ Experience with Structured Query Language (SQL) and working with databases preferred
+ Experience with data analysis tools such as R, Python, SQL, Alteryx, Tableau, and SAS preferred
+ Experience with Strategic Network Design, Simulation (e.g., AnyLogic), or Mathematical Programming (e.g., CPLEX) software preferred
+ Proven ability to work as part of a team as the key analytical resource
+ Excellent communication skills with an ability to explain quantitative analysis in simple business terms
+ Intellectual curiosity, humility, genuine respect and desire to help others
+ Bias for action and passion for driving change
+ Ability to travel up to 5%
**_What is expected of you and others at this level_**
+ Applies comprehensive knowledge and a thorough understanding of concepts, principles, and technical capabilities to perform varied tasks and projects
+ May contribute to the development of policies and procedures
+ Works on complex projects of large scope
+ Develops technical solutions to a wide range of difficult problems
+ Solutions are innovative and consistent with organization objectives
+ Completes work; independently receives general guidance on new projects
+ Work reviewed for purpose of meeting objectives
+ May act as a mentor to less experienced colleagues
**Anticipated salary range:** $93,500 - $133,600
**Bonus eligible:** No
**Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being.
+ Medical, dental and vision coverage
+ Paid time off plan
+ Health savings account (HSA)
+ 401k savings plan
+ Access to wages before pay day with myFlexPay
+ Flexible spending accounts (FSAs)
+ Short- and long-term disability coverage
+ Work-Life resources
+ Paid parental leave
+ Healthy lifestyle programs
**Application window anticipated to close:** 9/15/2025 *if interested in opportunity, please submit application as soon as possible.
The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity.
_Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._
_Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._
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