208 Data Science jobs in the United States

In support of the Joint Navigation Warfare Center (JNWC) contract, you will be part of our teams efforts to empower the Department of Defenses navigation warfare (NAVWAR) mission to ensure positioning, navigation, and navigation timing superiority. Our mission is to provide combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR Order of Battle and PNT-related successes and threats.

More about this specific role

As a Data Science Analyst in the Joint Navigation Warfare Center (JNWC) you will help empower the Department of Defenses navigation warfare (NAVWAR) mission ensuring positioning, navigation and timing superiority. You will serve a s a member of a team providing combatant commanders and joint force commanders with subject matter expertise on planning and conducting NAVWAR by providing knowledge of friendly and enemy NAVWAR order of battle and PNT-related successes and threats. You will support the Government with the integration, at the theater strategic level, of C4, cyber, and cyberspace operations into JNWC's strategic and operational objectives.

Responsibilities

• You will utilize classified and unclassified analytical tools and expert analysis to support regional and global threat assessments to facilitate understanding of the threat picture.
• Oversee and support delivering multilayered, multi-intelligence research products focused on existing, evolving, and emerging improvised threats.
• Provide detailed threat analysis and assessments against various national and global threats to identify risks, gaps, and vulnerabilities and recommend countermeasures.
• Utilize tools and tradecraft to provide timely, relevant, and understandable analysis and intelligence material to inform decisionmakers and influence outcomes.
• Assist supported unit intelligence personnel in carrying out assigned tasks.
• Work closely with other Analysts, Planners, and Integrators in developing a range of operations and intelligence products and material and training solutions.
• Provide consistent realtime updates of current analyses and assessments to existing Intel databases.
• Ensures coordination with higher headquarters, Intelligence Community, Allies, and Partner Nations.
• The position may require CONUS/OCONUS travel and shiftwork supporting operations, exercises, and conferences
• Due to the nature of the position, if selected, you will be subject to a government security investigation and must meet eligibility requirements for access to classified information

Qualifications

• You must be a US citizen
• You must be able to obtain an i nterim Secret clearance to start with a pathway to achieving TS+SCI.
• 5 Years of relevant experience
• Experience conducting multidiscipline intelligence analysis
• Experience conducting Analysis in a deployed PNT environment
• Experience providing Analytical support to operations
• BA/BS in business, math, statistics, data science, computer science, engineering, or other related field

These Qualifications Would be Nice to Have

• MA/MS in a related field
• Graduate of a military Intermediate Level Education (ILE) course (e.g. Army Command and General Staff College or another service equivalent)
• Graduate of a Joint Professional Military Education (JPME) course (e.g. Naval Command and Staff or another service equivalent)
• Graduate of the School of Advanced Military Studies (SAMS) or a Joint War College

Salary Max : 103K

BlueHalo, an AV company pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Determination of official compensation or salary relies on several factors including, but not limited to, level of position, job responsibilities, geographic location, scope of relevant work experience, educational background, certifications, contract-specific affordability, organizational requirements, alignment with local internal equity as well as alignment with market data.

Our compensation package also includes components designed to support employees total well-being, which should be considered when evaluating our competitive benefits package. These benefits include health insurance, life insurance, disability, company holiday and paid time off, parental leave, 401(k) company match and contributions, professional development/training reimbursements, and other work/life programs.

• Bachelors or better

• Top Secret SCI

Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

As an intern, you will get an inside look at your desired field, while working next to some of the best in the industry. You will gain access to program activities, including an executive speaker series, volunteer events, and career development workshops. You will have the opportunity to network with employees across the organization and prepare you for a full-time career.

Where You'll Work

Evernorth Health Services, a division of The Cigna Group, is seeking 2026 Summer Interns who have a passion for applying Advanced Analytics and Data Science to Healthcare's biggest challenges. Evernorth Health Services creates pharmacy, care and benefits solutions to improve health and increase vitality. We relentlessly innovate to make the prediction, prevention and treatment of disease more accessible to millions of people.

What You'll Do

The Data Scientist Internship is an exciting opportunity to be part of Enterprise Data Science team at Evernorth Health Services. You will have the opportunity to use data science techniques that include predictive modeling, machine learning, text mining, segmentation and clustering to help in developing solutions to increase revenue and improve Member Experience. Utilize Machine Learning for developing next generation of predictive models for targeted business solutions. Support the team in application of Text Mining to mine Voice of Customer data. Develop supervised / unsupervised algorithms, Big Data pipelines for making business processes efficient.

At Evernorth Health Services, you will get a chance to work with a variety of large datasets including pharmacy and medical claims transactions, member information, voice call transcripts, survey data, web log data, etc.

Project examples:

• Develop Next Generation Supervised Machine Learning Clinical models to predict Medical Non-Adherence
• Training of call classification unsupervised topic models using big data platforms such as Spark and Hadoop
• Leverage state of the art NLP Algorithms for detection of personal health information (PHI) entities within free text comments to automatically de-identify natural language
• Modularize the entity-based feature engineering code base on Hadoop to leverage big data technologies such as Pyspark and Spark SQL

Qualifications

• Working towards a Master's degrees or PhD in quantitative disciplines such as Data Science, Statistics, Applied Mathematics, Computer Science, Bioinformatics, Computational Linguistics or related quantitative disciplines
• Excellent ability to query large datasets using ANSI SQL/HIVE SQL and working with relational databases
• Proficient programming skills either in SAS, R, or Python
• Proficient in Basic Probability and Statistics
• Proficient with one or more quantitative data analysis languages such as R, Python
• Demonstrated coursework / real world application of analytical methods such as Regression, Naïve-Bayes, Decision trees, experimental designs, support vector machines, machine learning and text mining, Natural Language Processing
• Proficiency with relational database concepts and SQL preferred
• Proficiency in data manipulation, cleansing and interpretation
• Experience working in distributed computing and Big Data Technologies like Hive, Spark, Scala, HDFS
• Experience with visualization tools like Tableau, Shiny, ggplot, Matplotlib
• Experience with Microsoft Office Suite

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

Division or Field Office:

Office of Sales & Products
Department of Position: Modeling & Data Anlytcs Dept
Work from:
Corporate Office in Erie, PA Pay Range:

$26 - $27.50 *

Based on completed actuarial exams

At Erie Insurance, we believe in professional and personal development. With our Future Focus Internship Program, both are provided in abundance. Not only do we offer the opportunity to gain professional experience in a challenging and competitive setting, but we welcome you as part of the ERIE family. We ensure that our interns receive the best internship experience possible, which includes multiple educational, developmental, professional, social and networking opportunities. The esteem ERIE holds in its Future Focus Internship Program is evident at every level of the organization, defined even further by multiple opportunities for socializing with high level leaders, up to and including our President and CEO. Are you ready for the internship experience of a lifetime? Look no further.

2026 Future Focus Internship Program Start Dates: Monday, May 11th or Monday, May 18th, 2026

2026 Future Focus Internship Program End Date: Friday, August 7th, 2026

Position Summary

Opportunity to join our Future Focus Internship Program as a Data Science Intern
Erie Insurance is committed to helping you learn and grow with a challenging internship position that will offer you relevant and real-world business experience. We are currently seeking applicants who are interested in being considered for our upcoming summer internship program as potentialData Science Interns!

Who should apply

• Applications are accepted fromcollege students currently enrolled at an accredited college or university to pursue a four-year degree or to complete a master's degree program full-time
• A four-year degree student should be completing sophomore, junior, or senior year (graduating in spring 2026 thru spring 2028)
• A minimum cumulative grade point average of 3.0 is required to be considered for this internship

• A variety of challenging assignments in a stimulating work environment
• A personal mentor
• A variety of educational, social and community service events with other interns
• Social events and other networking activities with senior leaders including the CEO
• Relocation assistance may be available to those who qualify
• We have multiple talent programs and initiatives focused on attracting underrepresented students for internships and other job opportunities here at ERIE Insurance.

Duties and Responsibilities

• Works with experienced departmental staff to learn actuarial techniques, data sources, and spreadsheets to conduct reviews of rating factors.
• Assists in conducting detailed analysis of The ERIE's insurance programs, profitability, rating factors, reserve studies, dynamic financial analysis, and experience exhibits. Typical projects have included: deductible studies, trend and forecasts of average paid losses and frequencies, effect of large losses on rate indications, and competitive analysis.
• Creates exhibits, reports, and charts for actuarial and reserve studies, state insurance department filings, and rate recommendations. Determines appropriate presentation format.
• Develops a basic knowledge of ratemaking procedures used by The ERIE, competitors, and rate bureaus. Writes programs in SAS and Visual Basic to extract data to spreadsheet format. Reviews data for reasonableness and accuracy.
• Gathers ERIE and Industry information in response to requests. Presents rate, reserve and other analysis to management and communicates analysis impacts to other departments as required.

The first threeduties listed are the functions identified as essential to the job. Essential functions are those job duties that must be performedin order forthe job to be accomplished.

This position description in no way states or implies that these are the only duties to be performed by the incumbent. Employees are required to follow any other job-related instruction and to perform any other duties as requested by their supervisor, or as become evident.

Capabilities

• Values Diversity
• Nimble Learning
• Self-Development
• Collaborates
• Information Management Skills
• Customer Focus
• Cultivates Innovation
• Job-Specific Knowledge
• Instills Trust
• Optimizes Work Processes (IC)
• Decision Quality
• Ensures Accountability

Qualifications

Minimum Educational Requirements

• High school diploma or GED required.
• Pursuit of bachelor's degree with completion of sophomore year majoring in Actuarial Science, Mathematics, Statistics, Econometrics or related field required.

Additional Experience

• Minimum 3.0 GPA required.
• Candidates in their final year of undergraduate study, or pursuing graduate studies are also eligible.
• Proficiency in probability and statistics as demonstrated by passing the first actuarial exam preferred.
• Basic knowledge of word processing, spreadsheet, presentation and data base software preferred

Physical Requirements

• Lifting/Moving 0-20 lbs; Occasional (<20>
• Lifting/Moving 20-50 lbs; Rarely
• Ability to move over 50 lbs using lifting aide equipment; Rarely
• Driving; Rarely
• Pushing/Pulling/moving objects, equipment with wheels; Occasional (<20>
• Manual Keying/Data Entry/inputting information/computer use; Often (20-50%)
• Climbing/accessing heights; Rarely

Nearest Major Market: Erie

The University of Chicago’s Data Science Institute, in partnership with the City Colleges of Chicago (CCC), and the US National Science Foundation and Simons Foundation-funded National AI Institute for the Sky ("SkAI Institute") invites applications for the position of the University of Chicago (UChicago) SkAI Data Science Preceptorship with a focus on teaching and scholarship in the area of Astronomy and AI . The UChicago and CCC Preceptorship program develops the next generation of teaching academics for data science and astronomy education. This unique program emphasizes pedagogical best practices and allows Preceptors the opportunity to broaden their classroom skills and enhance their teaching and scholarship portfolios with the support of UChicago and CCC faculty mentorship. UChicago is recruiting Preceptors with an Astronomy and AI  focus to co-develop new Astro-AI curriculum and teach courses at UChicago, CCC, and other SkAI partner institutions. 

The initial appointment is expected to begin September 1, 2026. Preceptors will work side by side with faculty from UChicago and CCC on teaching and developing course materials. Professional development training will be provided by both the UChicago and CCC faculty. Preceptors will gain experience teaching across learning environments with opportunities to engage with UChicago and CCC students in STEM courses. The teaching obligation is expected to be 2 one-quarter courses at UChicago and 2 one-semester courses at CCC per academic year. This role includes dedicated time for research and scholarship activities.  This position also includes structured professional development, administrative duties and student mentoring activities. 

The position is for an initial two-year appointment with a renewal for a third year possible.

This position is benefits eligible. For information on benefits, please consult the University of Chicago Benefits Guide: .

A Ph.D. in data science, mathematics, statistics, computer science, biology, physics, astronomy, astrophysics, or other closely related fields to data science.

Applications must be submitted online through: . 

Review of applications will begin on November 15, 2025, and will continue until all available positions are filled.

Required materials are: 

(a) a cover letter, 

(b) a curriculum vitae, 

(c) two or more letters of reference, at least one of which must address teaching ability, and a

(d) teaching statement (description of teaching and mentoring philosophy and experience).

Optional materials: course evaluations from courses previously taught. 

The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination .

Job seekers in need of a reasonable accommodation to complete the application process should call or email   with their request.

Job Responsibilities

• Explore and implement new technologies, methodologies, and innovations in data and analytics.
• Conduct research and development to identify and apply cutting-edge AI and machine learning (ML) solutions.
• Drive the creation, building, and deployment of advanced data-driven solutions that address complex business challenges.
• Collaborate closely with other teams to ensure smooth transitions and effective support for newly developed solutions.
• Facilitate the integration of advanced analytics models and applications into everyday operational workflows.
• Drive research initiatives and pilot projects that promote a culture of innovation and continuous improvement within the organization.
• Lead the team in developing impactful AI/ML models and data-driven applications that meet business needs and performance standards.
• Partner with external experts and industry peers to stay informed of emerging trends and best practices.
• Champion the adoption of innovative technologies and methodologies across the firm, influencing a forward-thinking approach towards data and analytics
• Integrate advanced AI/ML solutions with agentic technologies (e.g. LangChain) and develop predictive models and autonomous agents that automate complex data tasks, streamline workflows, and empower users.
• Manage and build the semantic data layer, defining relationships among key business entities to fuel intelligent search, recommendation engines, and network analysis.
• Develop data-driven tools, dashboards, and analytical applications to enhance advisor efficiency and deepen client engagement
• Deliver end-to-end solutions for understanding and improving organizational engineering performance through the creation of core data assets and analytical dashboards.
• Oversee the design, deployment, and management of prompt-based models on LLMs for various NLP tasks in the financial services domain.
• Conduct and guide research on prompt engineering techniques to improve the performance of prompt-based models within the financial services field, exploring and utilizing LLM orchestration and agentic AI libraries.
• Collaborate with cross-functional teams to identify requirements and develop solutions to meet business needs within the organization.

Required qualifications, capabilities, and skills

• Minimum 10+ years of experience in data science, analytics, or a related field.
• Significant leadership experience in managing data science/R&D teams and driving technology innovation.
• Proven track record of working with AI, ML, and advanced analytics models in a large-scale enterprise environment.
• Strong proficiency in programming languages (e.g., Python) and data science frameworks (e.g. scikit-learn, PyTorch, etc.).
• Deep understanding of AI/ML algorithms, statistical modeling, and modern data platforms (e.g. Snowflake, Databricks).
• Experience with cloud-based data technologies and big data ecosystems

Preferred qualifications, capabilities, and skills

• Excellent leadership and team management skills with a strategic vision.
• Strong interpersonal, communication, and presentation abilities.
• Ability to collaborate effectively across cross-functional teams and mentor emerging talent
• Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Mathematics, Engineering, or a related field is preferred

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Base Pay/Salary
Jersey City,NJ $204,250.00 - $285,000.00 / year

Responsibilities-

• Utilize predictive modeling, segmentation, and machine learning methods to develop technical solutions to increase revenue and margins and provide thought leadership for advanced analytic projects and solutions.
• Work on projects from inception to delivery.
• Work with senior leaders and business partners (Technology, Clinical, Operations, etc.) to develop new predictive, forecasting, and natural language processing ("NLP") models.
• Perform data mining by applying machine learning and supervised learning algorithms.
• Support advanced analytical and data mining efforts including clustering, segmentation, logistic and multivariate regression, decision trees, neural networks, time-series analysis, sentiment analysis, topic modeling, and Bayesian analysis. Visualize, interpret, report, and communicate data findings in various formats using Tableau and ggplot.
• Hybrid work schedule.
• The salary for this position is $123,456.43 per year and this role is eligible for standard company benefits.

Qualifications-

Requires a Bachelor's degree or foreign equivalent in Data Science, Business Analytics, or a closely related field and 3 years of IT experience. Must have experience with: R; SQL; Python; Pyspark; regression; decision trees; support vector machines; random forests; neural networks; Oracle; Teradata; SQL Server; Hadoop; Tableau; and ggplot.

If you will be working at home occasionally or permanently, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 10Mbps download/5Mbps upload.

For this position, we anticipate offering an annual salary of 105,300 - 175,500 USD / yearly, depending on relevant factors, including experience and geographic location.

This role is also anticipated to be eligible to participate in an annual bonus plan.

We want you to be healthy, balanced, and feel secure. That's why you'll enjoy a comprehensive range of benefits, with a focus on supporting your whole health. Starting on day one of your employment, you'll be offered several health-related benefits including medical, vision, dental, and well-being and behavioral health programs. We also offer 401(k) with company match, company paid life insurance, tuition reimbursement, a minimum of 18 days of paid time off per year and paid holidays. For more details on our employee benefits programs, visit Life at Cigna Group .

About The Cigna Group

Doing something meaningful starts with a simple decision, a commitment to changing lives. At The Cigna Group, we're dedicated to improving the health and vitality of those we serve. Through our divisions Cigna Healthcare and Evernorth Health Services, we are committed to enhancing the lives of our clients, customers and patients. Join us in driving growth and improving lives.

Qualified applicants will be considered without regard to race, color, age, disability, sex, childbirth (including pregnancy) or related medical conditions including but not limited to lactation, sexual orientation, gender identity or expression, veteran or military status, religion, national origin, ancestry, marital or familial status, genetic information, status with regard to public assistance, citizenship status or any other characteristic protected by applicable equal employment opportunity laws.

If you require reasonable accommodation in completing the online application process, please email: for support. Do not email for an update on your application or to provide your resume as you will not receive a response.

The Cigna Group has a tobacco-free policy and reserves the right not to hire tobacco/nicotine users in states where that is legally permissible. Candidates in such states who use tobacco/nicotine will not be considered for employment unless they enter a qualifying smoking cessation program prior to the start of their employment. These states include: Alabama, Alaska, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Iowa, Kansas, Maryland, Massachusetts, Michigan, Nebraska, Ohio, Pennsylvania, Texas, Utah, Vermont, and Washington State.

Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances.

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at

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Job Description:

Johnson & Johnson is currently seeking a Data Science Co-op  to join our Critical Care team (Applied Sciences & AI) located in Danvers, MA . 

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at  Dates:   January 12 – June 26, 2026

Position Summary

The Critical Care team is looking for a co-op or intern to support our early-stage research and development programs. The candidate will be involved in solving data science and data analytics problems. With defined requirements, the candidate will be responsible for designing algorithms for products, building machine learning tools and doing data analysis.

• Implement machine learning for new or existing algorithms

• Design and translate algorithms for products and internal analysis tool

• Research in new applications of data science within the company

• Conduct data analysis for internal or external groups

Key Responsibilities 

• Assist in the design and training of Machine Learning models for Clinical Decision Support

• Provide input into process development and improvement

• Analyze data and present results to larger Engineering team

Minimum Requirements 

• Senior, Master's or PhD student pursuing a degree in Data Science, Computer Science, Computer Engineering, Software Engineering, AI, or Statistics

• Strong Machine Learning background with experience in Deep Learning (along with tools like Tensorflow, Keras, Pytorch), time series modeling, LLMs, natural language processing.

• Proficient in at least one programming language (Python preferred) and solid understanding of data structures & algorithms.

• Solid understanding of statistics, strong analytical skills

• Self-motivated, execute tasks in a timely manner

• Demonstrated communication skills, both written and verbal

Preferred Requirements

• Demonstrated experience with tuning and evaluating Large Language Models on variety of tasks including Named Entity Recognition and Question-Answering

• Knowledge in Data Science / Machine Learning libraries (numpy, pandas, matplotlib, sklearn, nltk)

• Experience in signal processing

• Big data / cloud experience (AWS, Azure, Google Cloud, Hadoop, Spark, Hive)

• Displayed interest in medical device industry

Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or green card) at the time of application or in the future.  Students currently on CPT, OPT, or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation,  external applicants please contact us via   . internal employees contact AskGS to be directed to your accommodation resource.

The anticipated base pay range for this position is :

Additional Description for Pay Transparency:

POSITION SUMMARY:

The Senior Manager of Data Science, you will play a pivotal role in shaping and driving the strategy, execution, and support of cutting-edge NMDP data and analytics solutions. The role is responsible for leading the team in the design, development, and delivery of operational intelligence, predictive modeling and machine learning solutions. Your role will help set the vision for the team function, advancing internal processes, and partnering closely with stakeholders to deliver proactive, value-add business insights focused on advancing business performance. As a Senior Manager, you will play a critical role in harnessing the power of data to drive innovation, optimize strategies, and deliver actionable insights, ultimately contributing to our company's continued growth and success.

This individual will have tremendous passion for data and leveraging it to create material value for the organization. This individual is someone who is bound to lead with a high-performance caliber mindset - guiding their team to deliver extraordinary results. This person will be comfortable challenging the status quo, bringing forward innovative ideas, and fostering a continuous improvement culture.

ACCOUNTABILITIES:

Delivering Business Analytics Capabilities:

• Offers visionary thinking and strategic insight to shape and construct the enterprise's data strategy and vision.
• Partners closely with leaders of business units to deliver value add insights to inform future business planning, improve operations, increase efficiencies, and save more lives.
• Develop a deep understanding of available data to drive analysis and answer questions - prepare and champion business cases to expand data sets including 3rd party data assets.
• Strengthen and expand data science capabilities including methodology, best practices, and engagement model that delivers material outcomes including predictive models.
• Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.
• Deliver varying analyses, key insights, and recommendation through compelling visualizations to support key customers across the entire value chain.
• Manage centralized intake and prioritization channels; ensures robust and effective processes are in place cultivating strong partnerships.
• Identifies opportunities for increased efficiencies. Designs and leads process and technology improvements to optimize efficiency and performance of the team.
• Partner with other leaders to develop and implement programs and resources to enhance data fluency across the organization, ensuring that team members at all levels are proficient in understanding and utilizing data effectively.
• Creates and maintains a solid understanding of the analytics industry - key advancements, emerging trends, and challenges in the space.

Leading People:

• Directly supervises 4-7 data scientist and analyst team members in day-to-day activities to ensure the timely delivery of consistent quality data solutions.
• Hires, trains, mentors, supervises, and evaluates the performance of staff.
• Analyzes strengths and growth opportunities in staff and creates environment of continual learning and growth using short and long-term goal setting.
• Fosters a strong performance culture; continually assesses engagement levels and devises actionable retention plans.
• Manages and leads 3rd party, contractor or offshore team members when needed.

REQUIRED QUALIFICATIONS:

Knowledge of:

• Extensive experience in leveraging statistical models to identify patterns and trends; expertise and/or demonstrated experience with business analytics tools such as SAS or R.
• AI, machine learning and algorithmic background with good understanding one or more of the following areas: supervised & unsupervised learning, embeddings, reinforcement learning, deep learning, Gen AI
• Strong understanding of relational database structures, theories, principles, and practices, including proficiency in SQL.
• Data visualization and dash-boarding experience using Tableau, Looker, or similar.
• Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of results.

• Establish and articulate a vision, set goals, develop, and execute strategies, and track and measure results.
• Prioritize and execute tasks in a dynamic environment.
• Communicate ideas in both technical and user-friendly language.
• Effectively write, present, and communicate analytics results with recommendations to leadership across the organization
• Demonstrate a high degree of both technical and business aptitude.
• Demonstrate superior analytical, communication, and problem-solving abilities.
• Build, lead, and motivate high performance teams.

Education and/or Experience:

• 7+ years of Analytics or Data Science experience, including at least 3 years of direct people management and leadership experience.
• 3+ years professional hands-on experience operating in a data analyst / data scientist capacity; utilizing varying tools and techniques such as data mining, statistical modeling reporting tools, and querying databases to translate data into actionable insights.
• Bachelor's degree in computer science, Information Technology, Statistics, Mathematics, or equivalent experience; MBA desired.

POSITION SUMMARY:

The Senior Manager of Data Science, you will play a pivotal role in shaping and driving the strategy, execution, and support of cutting-edge NMDP data and analytics solutions. The role is responsible for leading the team in the design, development, and delivery of operational intelligence, predictive modeling and machine learning solutions. Your role will help set the vision for the team function, advancing internal processes, and partnering closely with stakeholders to deliver proactive, value-add business insights focused on advancing business performance. As a Senior Manager, you will play a critical role in harnessing the power of data to drive innovation, optimize strategies, and deliver actionable insights, ultimately contributing to our company's continued growth and success.

This individual will have tremendous passion for data and leveraging it to create material value for the organization. This individual is someone who is bound to lead with a high-performance caliber mindset - guiding their team to deliver extraordinary results. This person will be comfortable challenging the status quo, bringing forward innovative ideas, and fostering a continuous improvement culture.

ACCOUNTABILITIES:

Delivering Business Analytics Capabilities:

• Offers visionary thinking and strategic insight to shape and construct the enterprise's data strategy and vision.
• Partners closely with leaders of business units to deliver value add insights to inform future business planning, improve operations, increase efficiencies, and save more lives.
• Develop a deep understanding of available data to drive analysis and answer questions - prepare and champion business cases to expand data sets including 3rd party data assets.
• Strengthen and expand data science capabilities including methodology, best practices, and engagement model that delivers material outcomes including predictive models.
• Promote and deliver a wide range of analytics techniques such as data aggregation, mining, profiling, statistics, forecasting, and predictive analytics, machine learning and artificial intelligence (AI) to solve relevant business needs.
• Deliver varying analyses, key insights, and recommendation through compelling visualizations to support key customers across the entire value chain.
• Manage centralized intake and prioritization channels; ensures robust and effective processes are in place cultivating strong partnerships.
• Identifies opportunities for increased efficiencies. Designs and leads process and technology improvements to optimize efficiency and performance of the team.
• Partner with other leaders to develop and implement programs and resources to enhance data fluency across the organization, ensuring that team members at all levels are proficient in understanding and utilizing data effectively.
• Creates and maintains a solid understanding of the analytics industry - key advancements, emerging trends, and challenges in the space.

Leading People:

• Directly supervises 4-7 data scientist and analyst team members in day-to-day activities to ensure the timely delivery of consistent quality data solutions.
• Hires, trains, mentors, supervises, and evaluates the performance of staff.
• Analyzes strengths and growth opportunities in staff and creates environment of continual learning and growth using short and long-term goal setting.
• Fosters a strong performance culture; continually assesses engagement levels and devises actionable retention plans.
• Manages and leads 3rd party, contractor or offshore team members when needed.

REQUIRED QUALIFICATIONS:

Knowledge of:

• Extensive experience in leveraging statistical models to identify patterns and trends; expertise and/or demonstrated experience with business analytics tools such as SAS or R.
• AI, machine learning and algorithmic background with good understanding one or more of the following areas: supervised & unsupervised learning, embeddings, reinforcement learning, deep learning, Gen AI
• Strong understanding of relational database structures, theories, principles, and practices, including proficiency in SQL.
• Data visualization and dash-boarding experience using Tableau, Looker, or similar.
• Manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources including collecting, assembling data, cleansing, formatting, and validation of results.

• Establish and articulate a vision, set goals, develop, and execute strategies, and track and measure results.
• Prioritize and execute tasks in a dynamic environment.
• Communicate ideas in both technical and user-friendly language.
• Effectively write, present, and communicate analytics results with recommendations to leadership across the organization
• Demonstrate a high degree of both technical and business aptitude.
• Demonstrate superior analytical, communication, and problem-solving abilities.
• Build, lead, and motivate high performance teams.

Education and/or Experience:

• 7+ years of Analytics or Data Science experience, including at least 3 years of direct people management and leadership experience.
• 3+ years professional hands-on experience operating in a data analyst / data scientist capacity; utilizing varying tools and techniques such as data mining, statistical modeling reporting tools, and querying databases to translate data into actionable insights.
• Bachelor's degree in computer science, Information Technology, Statistics, Mathematics, or equivalent experience; MBA desired.

We are seeking a forward-thinking hands-on Data Science Manager to lead efforts in transforming how our organization uses data to drive operational excellence. This role will focus on applying advanced analytics, predictive modeling, and emerging Generative AI (GenAI) technologies to unlock insights and enable smarter, faster decisions across key business functions including Planning, Supply Chain, Sourcing, Sales, and Logistics. You will lead a team focused on integrating data science into core operational processes automating manual workflows, enhancing visibility, forecasting key business drivers, and supporting strategic planning through data.

Key Responsibilities

• Lead the design and deployment of predictive and prescriptive analytics that power decision-making across operations

• Drive data transformation initiatives, replacing manual, fragmented reporting with scalable, automated solutions

• Collaborate with cross-functional leaders to identify high-impact opportunities and translate business needs into scalable data science solutions

• Lead and collaborate with a network of data science talent driving a culture focused on innovation, execution, and measurable impact.

• Develop and deploy systems that deliver timely, actionable insights across operations, enabling proactive planning, forecasting, and disruption management.

• Drive automation and innovation by streamlining workflows with intelligent tools, including piloting GenAI applications to enhance visibility, communication, and business responsiveness.

Key Qualifications

• 6+ years of experience in data science, with 2+ years in a leadership or product driven role

• Proven track record of applying analytics to complex operational domains (e.g., planning, supply chain, sourcing)

• Deep proficiency in Python, SQL, and cloud-based data environments

• Experience with advanced modeling techniques (forecasting, optimization, classification)

• Exposure to GenAI tools or LLMs, and an interest in applying them in real-world business contexts

• Strong business acumen and communication skills able to bridge data and strategy

Why Join Us

• Be a strategic driver of enterprise-wide operational transformation

• Combine data science and GenAI to solve real, high-value business problems

• Work cross-functionally with leaders across planning, logistics, and sourcing

• Join a company at the intersection of fashion, data, and technology, committed to innovation