Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Anduril Industries is a defense technology company with a mission to transform U.S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century's most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril's family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril's Tactical Recon & Strike (TRS) is a division with two missions: 1) build highly capable autonomous drones, and 2) build solid rocket motors at scale. We transform products like Ghost, Anvil, Bolt, and Altius from early concepts into fully operational capabilities by partnering closely with specialist engineering, operations, and production teams. Through our Anduril Rocket Motor Systems (RMS) team, we design and manufacture solid rocket motors using advanced materials, proprietary formulations, and high-volume production methods-delivering safe, reliable propulsion systems that support a wide range of mission requirements. TRS hires software engineers & hardware engineers, who are excited to build across a diverse and powerful portfolio-from autonomous aerial systems to high-performance solid rocket motors. Our teams contribute to highly capable autonomous robotics systems and propulsion products that operate reliably in the most demanding mission environment. ABOUT THE JOB As a Data Scientist at Anduril, you will dive into unique, complex challenges that come with the territory of high-stakes, advanced technology in the defense sector. Your expertise will drive innovation in autonomous systems, shaping the future of defense and intelligence with solutions that are deployed at unparalleled speed. If you're eager to leverage your data science skills in an environment that encourages bold ideas and offers the resources to turn them into reality, Anduril provides the perfect platform to propel your career and make a tangible difference in a world entering a new era of strategic competition. Join us and be part of the transformation that's setting new standards for military capabilities and security. This position will be located at our headquarters in Costa Mesa, CA (relocation benefits provided). WHAT YOU'LL DO Conduct in-depth data analysis using Python, MATLAB, and relevant tools to address complex problems, define key performance indicators for autonomous vehicle systems, and effectively communicate analytical insights to stakeholders. Collaborate cross-functionally with engineering, product management, and fellow data scientists to apply advanced statistical techniques, informing strategic decisions and guiding the development of roadmaps for enhancing vehicle performance based on data-driven insights. Develop, optimize, and oversee autonomous vehicle data infrastructure, including the creation and management of software tools, data catalogs, and robust data pipelines that facilitate efficient data extraction, transformation, and delivery of high-quality data products for internal use and stakeholder presentation. Spearhead technical investigations to diagnose operational issues and analyze performance trends, providing leadership in the interpretation of data and formulation of solutions to improve system reliability and efficiency. Design and implement analytics-driven customer-facing products that showcase system performance metrics, provide trend analysis, and enhance user understanding and experience with our autonomous vehicle platforms. REQUIRED QUALIFICATIONS A background in Mathematics, Statistics, Computer Science, Data Science, or a related technical field with a strong quantitative foundation. Demonstrated expertise in Python with a robust portfolio of projects showcasing the development, validation, and deployment of predictive models and data products. Proficiency with machine learning frameworks such as PyTorch, TensorFlow, and Scikit-Learn is essential. Familiarity with Unix/Linux environments, including proficiency with the command line interface and the ability to efficiently manage and navigate distributed computing systems. Exceptional data visualization skills, with proficiency in using visualization tools (e.g., Plotly, Matplotlib, Seaborn) and business intelligence platforms (e.g., Tableau, Power BI) to translate complex data insights into accessible visual formats for diverse audiences. A proven track record of effectively working with large and complex datasets, as well as the capacity to quickly understand and work within established codebases and complex system architectures. A strong commitment to applying data science to solve real-world problems, with the ability to translate technical findings into actionable recommendations that have a tangible impact. Excellent communication and collaboration skills, with the ability to engage effectively with multidisciplinary teams, including engineers, product managers, and non-technical stakeholders. Must be able to obtain and maintain a DoD Security Clearance. Must be open to 24/7 on-call work with customers. Must be open to 20% travel. PREFERRED QUALIFICATIONS Experience with cloud computing platforms (e.g., AWS, GCP, Azure) and familiarity with containerization (e.g., Docker, Kubernetes) is highly beneficial. Knowledge of best practices in data governance, ethics, and privacy, as well as experience with data security and compliance requirements relevant to sensitive and classified information. Leadership experience, with the ability to mentor junior data scientists and lead project teams in the execution of complex data science initiatives. Experience working with terabyte-scale data, robotics data formats (e.g. MCAP, HDF5), and dataframes (e.g. Pandas, PySpark). US Salary Range $220,000-$292,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Healthcare Benefits US Roles: Comprehensive medical, dental, and vision plans at little to no cost to you. UK & AUS Roles: We cover full cost of medical insurance premiums for you and your dependents. IE Roles: We offer an annual contribution toward your private health insurance for you and your dependents. Additional Benefits Income Protection: Anduril covers life and disability insurance for all employees. Generous time off: Highly competitive PTO plans with a holiday hiatus in December. Caregiver & Wellness Leave is available to care for family members, bond with a new baby, or address your own medical needs. Family Planning & Parenting Support: Coverage for fertility treatments (e.g., IVF, preservation), adoption, and gestational carriers, along with resources to support you and your partner from planning to parenting. Mental Health Resources: Access free mental health resources 24/7, including therapy and life coaching. Additional work-life services, such as legal and financial support, are also available. Professional Development: Annual reimbursement for professional development Commuter Benefits: Company-funded commuter benefits based on your region. Relocation Assistance: Available depending on role eligibility. Retirement Savings Plan US Roles: Traditional 401(k), Roth, and after-tax (mega backdoor Roth) options. UK & IE Roles: Pension plan with employer match. AUS Roles: Superannuation plan. The recruiter assigned to this role can share more information about the specific compensation and benefit details associated with this role during the hiring process. To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/ .

Why choose between doing meaningful work and having a fulfilling life? At MITRE, you can have both. That's because MITRE people are committed to tackling our nation's toughest challenges-and we're committed to the long-term well-being of our employees. MITRE is different from most technology companies. We are a not-for-profit corporation chartered to work for the public interest, with no commercial conflicts to influence what we do. The R&D centers we operate for the government create lasting impact in fields as diverse as cybersecurity, healthcare, aviation, defense, and enterprise transformation. We're making a difference every day-working for a safer, healthier, and more secure nation and world. Our workplace reflects our values. We offer competitive benefits, exceptional professional development opportunities for career growth, and a culture of innovation that embraces adaptability, collaboration, technical excellence, and people in partnership. If this sounds like the choice you want to make, then choose MITRE - and make a difference with us. NOTE: Thank you for your interest in MITRE's internship opportunities. Please be aware that this is not an application for a specific position. By submitting your information and providing your resume, you will be included in a pool of candidates for various internship roles across the company. If you are selected for consideration for a particular internship, a member of MITRE's Student Programs team will reach out to you. The primary hiring season for MITRE internships runs from September through March. You can monitor your application status here: Workday (myworkdayjobs.com). Job Responsibilities As an intern working in data science, operations research, math or statistics, you will work alongside a team of experts to apply your knowledge and gain hands-on experience in one or more of the following areas: Data analysis and visualization Augmented decision-making and trusted analytics Applied mathematics, statistics, and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-generation data environments Basic Qualifications Must be a full-time student pursuing an accredited degree program in Data Science, Math, Statistics, Operations Research or related disciplines. Must continue to be enrolled the semester following the internship. Foundational knowledge of data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Must have sustained excellence in academic performance. Preferred Qualifications Experience applying data science, math, statistics or operations research concepts in an internship, research, or lab setting. Proficiency using data science, math, statistics or operations research methodologies, frameworks, tools and/or programming languages. Demonstrated interest in serving the public through previous work experience, volunteer activities, or other relevant engagements. Clearance: In addition to passing MITRE's employment background check, you may be submitted for a U.S. Government Security clearance. This is determined by the Department of Defense's adjudicative guidelines for receiving a clearance, to include U.S. citizenship. Other jobs may require vetting for various levels of agency public trust, fitness, suitability, controlled access, and special programs access determination consistent with the work program to which you are assigned. This requisition requires the candidate to have a minimum of the following clearance(s): This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s): Salary compensation range and midpoint: $46,500 - $58,000 - $69,500 Annual Work Location Type: Hybrid It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law. MITRE intends to maintain a website that is fully accessible to all individuals. If you are unable to search or apply for jobs and would like to request a reasonable accommodation for any part of MITRE's employment process, please email recruitinghelp@mitre.org for general support and collegerecruiting@mitre.org for intern positions. This service is for individuals requiring reasonable accommodation requests. Please note that vendor solicitations will not receive a reply. Benefits information may be found here. Copyright 1997-2026, The MITRE Corporation. All rights reserved. MITRE is a registered trademark of The MITRE Corporation. Material on this site may be copied and distributed with permission only.

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 https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Director, R& D Data Science & Digital Health, Real-World Evidence (RWE) Advanced Analytics The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for an outstanding scientist and leader who provides cross therapeutic area RWE expertise and whose responsibilities include: Independently lead, manage, and mentor a multidisciplinary team of RWE scientists to influence strategy and execute on the priorities, building a roadmap to deliver the projects from data feasibility, study design and analysis, to final presentation to senior cross-functional leaders. Partner with the Data Science Therapeutic Area leaders to conceptualize, lead, shape and deliver Real World Evidence. Be a hands-on scientific and technical leader, lead a portfolio of RWE projects, and develop best practices and a common suite of tools that enable RWE data scientists to accelerate project delivery. Provide end-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide scientific leadership in developing and applying Real-World Data (RWD) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership to generate actionable insights from historical trial data, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, analysis plans, and statistical programming deliverables including analytical dataset, tables and figures Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 8 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries At least 5 years of experience as a people manager Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data); familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Expertise in drug development and experience working in a matrixed organization Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments 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 and 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, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS#JNJDataScience#JRD Required Skills: Preferred Skills: The anticipated base pay range for this position is : Applicable Pay Range $160,000 - $276,000 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. * Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). * This position is eligible to participate in the Company’s long-term incentive program. * Employees are eligible for the following time off benefits: –* Vacation – up to 120 hours per calendar year –* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year –* Holiday pay, including Floating Holidays – up to 13 days per calendar year –* Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Nightwing provides technically advanced full-spectrum cyber, data operations, systems integration and intelligence mission support services to meet our customers’ most demanding challenges. Our capabilities include cyber space operations, cyber defense and resiliency, vulnerability research, ubiquitous technical surveillance, data intelligence, lifecycle mission enablement, and software modernization. Nightwing brings disruptive technologies, agility, and competitive offerings to customers in the intelligence community, defense, civil, and commercial markets. Nightwing is supporting a U.S. Government customer on a large mission critical development and sustainment program to sustain and operate a network operations environment, including introducing new cyber capabilities to address emerging threats. Cyber Offense and Defense Experts (CODEX) is seeking a skilled Full Stack Developer with expertise in AWS Cloud development, stage and production environments. This role involves contributing to the design, development, and deployment of advanced cybersecurity capabilities to support CISA's mission today and into the future. Responsibilities may include, but are not limited to : Infrastructure Engineering: Design, test, and implement advanced cybersecurity software capabilities as a key contributor within Agile Scrum teams. Support risk assessments and recommend risk mitigation strategies as required. Full Stack Development: Develop automated unit tests and debug thoroughly to ensure reliable, high-quality code. Collaborate on Deployment, DevOps, and CI/CD processes to optimize pipelines and streamline workflows. Establish and interpret monitoring systems for CI/CD processes to ensure operational effectiveness. Qualifications: U.S. Citizenship is required Must have an active Secret clearance with the ability to obtain DHS suitability Must be able to obtain a TS/SCI Clearance 8+ years of software development experience required Minimum 2+ years with AWS SageMaker, Apache Zeppelin Minimum 3+ years of Agile full stack infrastructure engineering experience with a focus on production AWS environments. Desired Skills: Experience with Databricks Notebooks and Visualization Experience with AWS Lambda (Python) Proven ability as a Full Stack Developer with experience in Agile/Scrum development methodologies. Automated remediation expertise for security vulnerabilities. Familiarity with: CISA Guidance: Securing the Software Supply Chain. Open-Source Software Security. General Cybersecurity Best Practices. NIST Frameworks: NIST SP 800-218 – Secure Software Development Framework. Technical Expertise: Knowledge of automated solutions using Ansible. Desired Certifications: Cloud Certification: AWS Certified Cloud Practitioner. Cybersecurity Certifications: DoD 8570.1 IAT Level II or CSSLP. Required Education: Bachelor’s degree in Software Engineering, Computer Science or a related discipline is required. [Ten (10) years of experience (for a total of eighteen (18) or more years) may be substituted for a degree.] Syndeo: 3500 At Nightwing, we value collaboration and teamwork. You’ll have the opportunity to work alongside talented individuals who are passionate about what they do. Together, we’ll leverage our collective expertise to drive innovation, solve complex problems, and deliver exceptional results for our clients. Thank you for considering joining us as we embark on this new journey and shape the future of cybersecurity and intelligence together as part of the Nightwing team. Nightwing is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

Department: 85032 Wake Forest University Health Sciences- Academic Biostatistics and Data Science Status: Full time Benefits Eligible: Yes Hou rs Per Week: 40 Schedule Details/Additional Information: Monday- Friday 8-5 pm Pay Range $33.05 - $49.60 JOB SUMMARY Under administrative review, performs management level work directed toward the planning, implementation and coordination of one or more major programs for an association, non-profit or similar organization. Provides analysis, financial accounting, team facilitation and recommendations to ensure timely project completion and compliance with sponsor requirements. The Jackson Heart Study Coordinating Center (JHS CC) manages 8 subcontracts in addition to over 30 ancillary studies, with more expected over the coming years. JHS is responsible for providing data to investigators with an approved ancillary study or manuscript and each data request requires a fully executed Data Management Data Agreement (DMDA) which is renewed annually. This individual will serve as the liaison to outside investigators and in that role will develop budgets and monitor ancillary proposals, ensure data has been distributed to outside investigators appropriately, execute and manage subcontracts. He/she will provide monthly financial accounting and work with the study team to ensure all deliverable deadlines as outlined in the contract are met. EDUCATION/EXPERIENCE Bachelor's degree and three years of relevant experience or equivalent combination. Master's degree in Health Administration, Business Administration or related field preferred. Three years' experience in project management, program management development, administration or supervisory experience required. ESSENTIAL FUNCTIONS Manages and oversees the planning, implementation, coordination and evaluation of major projects. Assumes major responsibility for coordinating the successful and timely completion of the tasks within projects. Manages and/or implements all operational policies and procedures related to the functioning of the program. Prepares periodic analyses and reports reflecting progress and trends of on-going projects/programs. Identifies and anticipates potential issues and risks. Makes suggestions for improvement and implements as appropriate. Tracks, evaluates, and interprets collected financial data. Manages the preparation of progress reports and quality control monitoring. Participates in the analysis of study data and the writing of sponsor progress and financial reports. Drafts financial, statistical, narrative, and/or other reports as requested. Makes recommendations based on these findings Assists in the administration of the departmental budget by tracking expenditures and performing other financial tasks. Verifies deduction authorizations to ensure correct input. Assumes responsibility for the outcome of the program(s). Assists and supervises support personnel. Manages data for applicable databases to produce outcomes information for quality reporting and operational initiatives. Provides guidance to others. Designs forms, newsletters, web pages and other tools as appropriate to ensure the success of assigned projects. Serves as the program liaison, spokesperson and representative. Arranges, implements, and facilitates team meetings to achieve results. Attends meetings with appropriate staff and faculty as necessary to provide and gather information. Promotes a cooperative work environment by utilizing communication skills, interpersonal relationships and team building. Ensures that all aspects of the projects are conducted in accordance to the sponsor requirements, study contract and timelines. Ensures compliance with institutional and sponsor regulations and guidelines. SKILLS/QUALIFICATIONS Excellent oral and written communication skills Previous supervisory experience Solid interpersonal skills to effectively build relationships with business partners across departments and facilitate work among teams Strong analytical and critical thinking skills Strong PC background in computer spreadsheets systems and presentation packages Skilled problem solver who can work independently Ability to manage special projects, work under pressure, meet deadlines Customer service orientation Strong presentation skills to effectively persuade and influence in order to achieve desired outcomes with diverse clientele WORK ENVIRONMENT Clean, well-lit, comfortable office setting Our Commitment to You: Advocate Health offers a comprehensive suite of Total Rewards: benefits and well-being programs, competitive compensation, generous retirement offerings, programs that invest in your career development and so much more – so you can live fully at and away from work, including: Compensation Base compensation listed within the listed pay range based on factors such as qualifications, skills, relevant experience, and/or training Premium pay such as shift, on call, and more based on a teammate's job Incentive pay for select positions Opportunity for annual increases based on performance Benefits and more Paid Time Off programs Health and welfare benefits such as medical, dental, vision, life, and Short- and Long-Term Disability Flexible Spending Accounts for eligible health care and dependent care expenses Family benefits such as adoption assistance and paid parental leave Defined contribution retirement plans with employer match and other financial wellness programs Educational Assistance Program About Advocate Health Advocate Health is the third-largest nonprofit, integrated health system in the United States, created from the combination of Advocate Aurora Health and Atrium Health. Providing care under the names Advocate Health Care in Illinois; Atrium Health in the Carolinas, Georgia and Alabama; and Aurora Health Care in Wisconsin, Advocate Health is a national leader in clinical innovation, health outcomes, consumer experience and value-based care. Headquartered in Charlotte, North Carolina, Advocate Health services nearly 6 million patients and is engaged in hundreds of clinical trials and research studies, with Wake Forest University School of Medicine serving as the academic core of the enterprise. It is nationally recognized for its expertise in cardiology, neurosciences, oncology, pediatrics and rehabilitation, as well as organ transplants, burn treatments and specialized musculoskeletal programs. Advocate Health employs 155,000 teammates across 69 hospitals and over 1,000 care locations, and offers one of the nation’s largest graduate medical education programs with over 2,000 residents and fellows across more than 200 programs. Committed to providing equitable care for all, Advocate Health provides more than $6 billion in annual community benefits.

Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Profile Name: Res. Assistant Professor Job Code: JP3_24102 Job Family Group: Research FLSA Status: Exempt Job Family: Researchers Career Level: P4 Created/Revision Date: 8/1/2017, 1/1/2024 Grade: CORE JOB SUMMARY The Research Assistant Professor, SOM (A) carries out a particular research agenda in support of the University’s research goals and objectives. Moreover, the Research Assistant professor, SOM (A) contributes to the scientific community by publishing research findings and promotes the University’s reputation as a leader in the field. CORE JOB FUNCTIONS Contributes to basic and applied research activities and authors scientific publications, technical and agency reports, and patent preparations. Collaborates with senior staff to publish findings in refereed journals. Creates and conducts experiments and analyzes results. Works with other researchers to use and develop end products. Writes extramural proposals with approval from appropriate senior staff. Provides ready access to all experimental data for managing staff. Requests or acquires equipment and supplies for assigned project(s). Uses the internet, surveys, legal documents, and other available sources to collect information. Applies for grants to continue research and prepares materials for submission to granting agencies and foundations. Adheres to University and unit-level policies and procedures and safeguards University assets. This list of duties and responsibilities is not intended to be all-inclusive and may be expanded to include other duties or responsibilities as necessary. CORE QUALIFICATIONS Education: Ph.D., M.D. or other doctoral level degree relevant field Certification and Licensing: Not Applicable Experience: Minimum 1 year of relevant experience Knowledge, Skills and Attitudes: Skill in collecting, organizing, and analyzing data. Ability to recognize, analyze, and solve a variety of problems. Ability to exercise sound judgment in making critical decisions. DEPARTMENT ADDENDUM Department Specific Functions The Department of Informatics and Health Data Science (DIHDS) , Media Innovation Lab (MIL) at the University of Miami is ushering in a new age of healthcare investigation, innovation, and improvement by breaking down the artificial barriers that separate discovery, development, and deployment of new solutions. Investigators at The MIL are reimagining and harnessing technologies available today, while inventing the solutions of tomorrow and are aspiring to create a legacy of insight and impact and to be a trusted voice in digital health, technology and transformation. The Research Assistant Professor will serve as the MIL site expert in bioinformatics setting the strategic vision for the group, leading the development of data analysis approaches, and implementing bioinformatics methodologies to support the needs of the DIHDS/MIL research team. Faculty members in the Department of Informatics and Health Data Science and The Media and Innovation Lab are required to actively support the department chair and lead research, educational/mentorship, and service outreach, policy and ethical initiatives related to informatics, digital technology, and health data science. Candidate must possess a strong computational and quantitative biology background that includes a broad understanding of key biological concepts and have significant experience in software and database engineering enabling an integrated understanding of biological data analysis as it relates to underlying biological processes. An extensive experience with the analysis of large data sets generated by next generation sequencing is encouraged. We prefer candidates with a strong record of accomplishments in bioinformatics, including but not limited to a proven track record of developing innovative tools and applications for computational biology, providing bioinformatics support for complex research projects involving multidisciplinary scientific teams, and a strong publication record in bioinformatics and computational biology. Qualification for this position requires demonstrated expertise in designing and developing software, databases, and interfaces for analyzing and manipulating research data applications including expertise with simple programming using Perl/Python or Java, statistical programming, web-development, and database query through SQL. This role collaborates with researchers to develop high throughput data processing and analysis capability. Directs and guides database searches and the computational analysis of resulting data. May assist in grant and other funding applications, as necessary and appropriate. Demonstrated ability to function as part of a team. Performs other responsibilities as required. This distribution of effort may change in future years based on your interests, department needs, and your success in obtaining extramural grant funding. Department Specific Qualifications Education: PhD in a mechanical engineering, quantitative/computational field including computer science, software engineering, bioinformatics, mathematics, human/statistical genetics, neuroimaging, or a related field (with an emphasis on data science or statistical analyses of human subjects’ datasets). Certification and Licensing: Type Here Experience: Type Here Knowledge, Skills and Attitudes: Type Here PHYSICAL REQUIREMENTS/ WORKING ENVIRONMENT The following sections capture the physical demands and working environment that are required for this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Working Conditions Environmental Dimension Never Occasionally Frequently Constantly Conditions of extreme heat or extreme cold x Wet/Humid conditions x Fumes/Dust/Dirt/Smoke x Confined areas x High places x Equipment in motion x High noise levels x Environmental hazards x Exposure to TB x Exposure to Blood-borne Pathogens x Exposure to Radiant Energy x Outdoor/Exposed areas x Equipment Used Equipment Used Never Occasionally Frequently Constantly Vehicle Type Operate vehicles (Select Vehicle) x Use hand tools x Use power tools x Physical Requirements Physical Dimension Never Occasionally Frequently Constantly Weight Sitting x Standing x Walking x Stooping/Climbing x Carrying x Kneeling x Crouching x Bending x Crawling x Reaching x Handling x Sensory Requirements Sensory Dimension Never Occasionally Frequently Constantly Vision Type Vision x Depth Perception x Color Vision x Peripheral x Concentration x Use of keyboard or touchscreen x Talking x Feeling x Smelling x The above statements are intended to describe the general nature and primary responsibilities of this job classification. Specific duties and tasks may vary based upon departmental needs. Other duties may be assigned to the above consistent with the knowledge, skills, and abilities required for the job. This is a job profile description and not all duties may be assigned to a specific position in each individual department. End of Job Description Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how to apply for a faculty or staff position using the Career worklet, please review this tip sheet . Job Status: Full time Employee Type: Faculty

Location: 4910 Tiedeman Road, Brooklyn Ohio ABOUT THE JOB (JOB BRIEF) Reporting to the Director of Financial Crimes Modeling & Analytics that reports to the Deputy Chief AML Officer, the Senior Data Science Manager is primarily responsible for leading a quantitative team in support of financial crime modeling and analytics. This role must establish priorities for the team, assign and define the work to the right resources, and understand the strengths and opportunities of the team to ensure the team meets and exceeds expectations. This role is responsible for owning modeling practices, methods, and techniques as well as for influencing data strategy with a focus on leveraging both current and emerging technologies and applications. The Senior Data Science Manager acts as a leader, strategic advisor and credible thought partner to senior / executive level business partners. This position is also responsible for managing the integration of activities within and across teams as well as effectively manage, coach, develop, and guide a team of professionals to anticipate business needs, recommend solutions that are both effective and efficient, and communicate the right message . ESSENTIAL JOB FUNCTIONS Oversee a small quantitative team (2-4 direct reports) in developing models and conducting analytics to address financial crime compliance needs in AML/BSA/OFAC Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively coach and develop the team on building technical skills and business knowledge; promote the team and their capabilities to stakeholders Effectively collaborate with compliance, technology, and risk partners; guides, advises, challenges, and influences to drive organizational impact Provide strategic consultation and thought leadership to senior / executive level business partners REQUIRED QUALIFICATIONS Master’s degree (or its equivalent) in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 5 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics Demonstrated proficiency in both traditional modeling practices and Machine Learning (ML)/Artificial Intelligence (AI) solutions, with preference given to candidates possessing experience and expertise in Generative AI (GenAI). Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing In-depth understanding of financial crime regulatory requirements, technology, and data analysis best practices Demonstrated direct management experience Excellent verbal, written and visual communication skills; ability to define and communicate key risk metrics, dashboards and analytics for senior management and executive reporting; translate technical observations to a non-technical audience A credible thought leader that can guide, advise, challenge, and influence at all levels of the organization and drive organizational impact Remote work is supported, but relocation to Cleveland, OH or Buffalo, NY is preferred. DATA LITERACY Ability to: Influence / impact strategy for data sourcing; can anticipate emerging needs to be incorporated into strategy Lead discussions about pros/cons of applications with senior leadership Monitor industry trends and direction of data analysis technologies TECHNOLOGY & TECHNIQUES Advanced Microsoft Office Suite SQL/NoSQL Relationship data structure Selecting and retrieving data including unstructured data retrieval, archival, and ETL Databases Advanced Python/R/SAS: Databases Efficient coding Can build strong code controls and translate code into high-level commentary Understanding of and ability to leverage: Cloud-based computing Distributed computing MODEL BUILDING & MAINTENANCE Ability to: Establish standards and best practices; forecast future modeling tools / techniques Identify, employ, and evangelize emerging techniques from industry / research Coach others on data modeling methods / techniques Facilitate sessions for complex data models Assess and understand risks; contingency plans Communicate observations to senior executives Translate technical observations to a non-technical audience COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $116,000.00 - $216,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/08/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. #LI-Hybrid

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

About Mercor Mercor is at the intersection of labor markets and AI research. We partner with leading AI labs and enterprises to provide the human intelligence essential to AI development. Our vast talent network trains frontier AI models in the same way teachers teach students: by sharing knowledge, experience, and context that can't be captured in code alone. Today, more than 30,000 experts in our network collectively earn over $1.5 million a day. Mercor is creating a new category of work where expertise powers AI advancement. Achieving this requires an ambitious, fast-paced and deeply committed team. You’ll work alongside researchers, operators, and AI companies at the forefront of shaping the systems that are redefining society. Mercor is a profitable Series C company valued at $10 billion. We work in-person five days a week in our new San Francisco headquarters. About the Role As a Data Science Intern at Mercor, you’ll join a fast-moving, metrics-driven engineering team that powers critical decisions across the company. You’ll analyze data that directly impacts ranking, hiring efficiency, candidate experience, and revenue. From day one, you’ll work with real datasets, ship insights used by product and engineering, and prototype models that improve how we match talent to AI companies. You’ll work closely with engineers, PMs, and leadership, designing experiments, evaluating LLM-powered systems, and building the foundations of data integrity and visibility across the platform. You’ll move quickly while maintaining a high bar for analytical rigor, clarity, and statistical correctness. At the end of the process, you’ll be team-matched to where you can have the most impact, on one of the following: Talent platform analytics – improving match quality, ranking, time-to-hire, and marketplace efficiency through experimentation and modeling. Applied AI/human data insights – partnering with leading AI labs (OpenAI, Anthropic, Google) to design evaluation rubrics, run human-in-the-loop studies, and understand how experts shape post-training data for frontier models. What You’ll Work On As an intern, you’ll take on projects such as: Defining north-star metrics and feature-level KPIs for ranking, interview analytics, and payouts systems. Designing and running A/B tests and quasi-experiments; translating results into product decisions within days. Building dashboards and lightweight data models that empower teams to self-serve insights. Instrumenting events with engineers and improving data quality, observability, and latency. Prototyping models (from baselines to gradient boosting) to improve matching and scoring systems. Evaluating LLM-powered agents through rubric design, human-in-the-loop experiments, and guardrail canary testing. What We’re Looking For Pursuing a degree in a quantitative field (graduating 2025–2027). Strong fundamentals in statistics, SQL, and Python. Experience with experiment design, causal reasoning, and data analysis. Ability to communicate clearly with engineers, product managers, and leadership. Curiosity about LLM evaluation, retrieval, ranking, or marketplace dynamics (a plus). Excited to work in person and thrive in a fast-paced environment. Nice-to-haves: experience with dbt, dashboarding tools, recommendation/search metrics, or LLM/agent evaluation. Why Mercor Impact: Your work powers how AI labs train and deploy their models Learning: Get early exposure to frontier AI research and engineering Growth: Work with a high-velocity team where interns ship to production Benefits Competitive internship stipend. Mentorship from experienced engineers. Work on real, high-impact projects. $1K monthly stipend for meals Free Equinox membership Team events and offsites. Potential full-time return offer.

Who We Are Imprint is reimagining co-branded credit cards & financial products to be smarter, more rewarding, and truly brand-first. We partner with companies like Crate & Barrel, Rakuten, Booking.com, H-E-B, Fetch, and Brooks Brothers to launch modern credit programs that deepen loyalty, unlock savings, and drive growth. Our platform combines advanced payments infrastructure, intelligent underwriting, and seamless UX to help brands offer powerful financial products—without becoming a bank. Co-branded cards account for over $300 billion in U.S. annual spend—but most are still powered by legacy banks. Imprint is the modern alternative: flexible, tech-forward, and built for today’s consumer. Backed by Kleiner Perkins, Thrive Capital, and Khosla Ventures, we’re building a world-class team to redefine how people pay—and how brands grow. If you want to work fast, solve hard problems, and make a real impact, we’d love to meet you. The Team The Data organization at Imprint provides the intelligence that accelerates decisions, strengthens marketing performance, powers product development, and improves cardholder experience. We partner closely with all teams to ensure that experimentation and high-quality data inform our decision-making. Within this group, the Data Science team focuses on experimentation and causal inference, forecasting, product analytics, marketing optimization, and applied ML. Data Scientists at Imprint work end-to-end on their problem areas—they frame questions, build analyses and models, and create the visualizations stakeholders rely on. We’re hiring a Data Science Manager to lead and grow this team, and help them operate effectively, efficiently, and with consistently high standards. What You’ll Do Set direction of the Data Science team, guiding the roadmap across optimization and automation. Own hiring strategy and recruitment to grow the team with exceptional talent. Manage, mentor, and develop a team of Data Scientists, raising the bar on technical rigor, ownership, and impact. Partner with cross-functional leaders to shape problem definition, prioritization, and end-to-end execution. In particular, partner with Product & Marketing on experiment design, product analytics, spend efficiency, and lifecycle analytics. Define modeling, experimentation, and machine learning best practices. Review analyses, models, and dashboards to ensure strong methodology and reliable decision-support. What We’re Looking For 6+ years in data science, product analytics, or applied ML, including 3+ years experience leading teams and hiring strong talent. Strong background in experimentation, causal inference, forecasting, or optimization. Strong proficiency in Python, SQL, and statistical methods, with hands-on depth if needed. Experience collaborating with stakeholders in a fast-paced environment with evolving priorities. Ability to turn complex analyses into concise, actionable insights for technical and non-technical partners. A people-first leader who gives direct feedback, develops talent, and builds trust. Why Join Us Lead a high-impact Data Science team driving insights across product, marketing, and growth. Shape foundational Data Science practices as we expand to more brand partners and products. Own the Data Science roadmap, influencing decisions that directly affect customer experience and business strategy/performance. Perks & Benefits Competitive compensation and equity packages Leading configured work computers of your choice Flexible paid time off Fully covered, high-quality healthcare, including fully covered dependent coverage Additional health coverage includes access to One Medical and the option to enroll in an FSA 20 weeks of paid parental leave for the primary caregiver and 8 weeks for all new parents Access to industry-leading technology across all of our business units, stemming from our philosophy that we should invest in resources for our team that foster innovation, optimization, and productivity Imprint is committed to a diverse and inclusive workplace. Imprint is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. Imprint welcomes talented individuals from all backgrounds who want to build the future of payments and rewards. If you are passionate about FinTech and eager to grow, let’s move the world forward, together.

Experience more with a career at COUNTRY Financial! We’re excited you’re interested in a career at COUNTRY as we strive toward our vision - to enrich lives in the communities we serve. Our footprint spans coast to coast. But more important than where we operate, is the people who do the work. Apply today to help our organization grow and make a difference for our clients. About the role As a Data Science and Analytics Manager, you’ll lead a high-performing team to turn complex data into actionable insights that shape strategy and decisions. You’ll work with teams across the enterprise to identify, assess, prioritize, and implement advanced analytics solutions to drive measurable business value. You’ll also manage our Data Solution Delivery team which partners with teams to build and maintain our data pipelines, advance and mature our enterprise data capabilities, deliver actionable insights, and support critical business operations. How does this role make an impact? - Lead meetings to present analysis, insights, and recommendations to stakeholders to aid in making strategic decisions for the company.- Implement advanced analytics and manage projects and resources.- Oversees the creation and delivery of high-quality, comprehensive advanced analytics solutions involving artificial intelligence, predictive modeling, and deep learning.- Help support and develop the team's acquisition, manipulation and execution of data analysis using various tools and methods while maintaining data integrity.- Manages the implementation and maintenance of disaster recovery plans and activities in assigned areas. Maintains current contact information for all employees in applicable areas and communicates with non-recovery employees during a disaster. Do you have what we're looking for? Typically requires 8+ years of relevant experience or a combination of related experience, education and training, including management experience. Proven history of successfully leading efforts to evaluate, develop, and implement AI models. Experience leading data engineering and data development efforts. Strong working knowledge of cloud data platforms, tools, and practices. Proficient in Agile Methodologies Strong communication skills with the ability to tailor message and tone based on audience. Base Pay Range: $156,400-$215,050 The base pay range represents the typical range of potential salary offers for candidates hired. Factors used to determine your actual salary include your specific skills, qualifications and experience. Incentive Pay: In addition to base salary, this position is eligible for a Short-Term Incentive plan. Why work with us? Our employees and representatives serve nearly one million households with our diverse range of personal and business insurance products as well as retirement and investment services. We build relationships and work together to create a stronger, more secure future for our clients and our communities. We’re a big company, yet small enough you can make an impact and won’t get lost in the shuffle. You’ll have the opportunity to learn and grow throughout your career, either within this role or by exploring other areas of our business. You’ll be able to take advantage of our benefits package, which includes insurance benefits (medical, dental, vision, disability, and life), 401(k) with company match. COUNTRY Financial is committed to providing equal opportunity in all areas of employment, and in providing employees with a work environment free of discrimination and harassment. Employment decisions are made without regard to race, color, religion, age, gender, sexual orientation, veteran status, national origin, disability, or any other status protected by applicable laws or regulations. Come join our team at COUNTRY today!

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 https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Ophthalmology. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25% domestic and international travel. 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 https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for ophthalmology . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with ophthalmic disorders. Key Responsibilities Define and execute the data science and digital health strategy for ophthalmology , integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven science. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational scientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required. 7+ years of experience as a people manager is required. Experience in clinical development with demonstrated expertise in ophthalmology preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. 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, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits:• Vacation – up to 120 hours per calendar year• Sick time - up to 40 hours per calendar year• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid Required Skills: Preferred Skills:

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Science Manager - REMOTE. In this role, you will influence how the platform supports safe interactions among users by guiding a dedicated team of analytics professionals. You will have the opportunity to drive strategic initiatives, improve processes, and ensure that safety metrics and insights are effectively communicated across teams. This is a vital role that combines technical management with the power of data-driven decision-making in a fast-paced environment. Your leadership will directly impact user experiences and safety perceptions while promoting a positive, engaged community among users. Accountabilities Directly manage a 6-person Analytics Data Science team across junior to senior levels, providing coaching, feedback, and development support. Participate in the Safety Leads group, building strong cross-functional relationships and contributing data-driven perspectives to safety strategy. Ensure quality of deliverables across the team through direct review or delegation, maintaining and improving existing processes. Enhance team capabilities in strategic impact through process improvement and stakeholder management. Formulate your own strategic view on safety improvements and advocate for change through thought leadership. Requirements Direct experience on Safety or Integrity teams at consumer tech companies, with background in content moderation and abuse detection. 2+ years directly managing teams of 3+ individuals with demonstrated ability to build high-performing data science teams. 5+ years in data science or analytics with proficiency in SQL and R or Python. Expertise in product analytics, experimentation, A/B testing, and product strategy. Excellent communication skills and ability to convey complex technical findings to various stakeholders. Experience with self-service analytics tools like Tableau, Looker, or PowerBI. Strong perspective in safety or risk domains with application of data science. Adopt a management philosophy that fosters autonomy and accountability within teams. Collaborative, low-ego approach with a bias towards action and learning. Benefits Competitive salary range between $248,000 to $279,000 + equity + benefits. Opportunities for professional growth and development. Flexible working environment with a strong commitment to inclusion. Engaging company culture focused on gaming and community. Access to comprehensive health and wellness benefits. Why Apply Through Jobgether? We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

WHAT WE DO MATTERS: At The Knot Worldwide, we champion celebration - and that starts with celebrating our people. Our employees are passionate dreamers, thoughtful doers, and lifelong learners who power meaningful moments for millions around the world. We’re united by authentic connection, shared purpose, and a deep commitment to the global community we serve. Here, flexibility and belonging go hand in hand with high performance. Driven by our core values, we believe the best ideas come from empowered teams: those who consistently collaborate with intention to design solutions, spark ideas, and drive impact. Our people are at the heart of our success. ABOUT THE ROLE AND OUR TEAM: We are seeking a Senior Director of Data Science to lead the Couple Growth & Lifecycle Zone, a strategic cross-functional team bridging Marketing to Product. In this role, you will ensure that every couple’s journey—from discovery to membership, onboarding, engagement, and beyond—is thoughtful, intuitive, and supported by smart, data-informed science. You will define the vision and roadmap for the Zone’s data science strategy, guiding teams to create predictive models, experimentation frameworks, and personalized experiences that help couples make meaningful progress in their planning journeys with confidence and ease. This role partners closely with leaders across Marketing, Product, Engineering, and Design to translate our mission into tangible, couple-centered outcomes. What You'll Lead: Growth & Marketing Science: Collaborate with marketing teams to understand campaign impact and unify insights across acquisition and in-product experiences—always through the lens of helping couples, not just metrics. Support couples in discovering TKWW through SEO, ASO, AI-powered discovery, and optimized landing experiences that are clear, helpful, and welcoming. Membership & Onboarding: Guide data-driven initiatives that remove friction in sign-up, onboarding, and profile completion, helping couples confidently start their planning journey. Engagement & Lifecycle Science: Develop models and insights that support couples in taking meaningful next steps—saving, shortlisting, sharing, and progressing—without feeling overwhelmed. RESPONSIBILITIES: Growth & Lifecycle Data Science Strategy Shape the data science vision across acquisition, membership, onboarding, and engagement, ensuring every insight and model contributes to real progress for couples . Translate complex business goals into scientific frameworks that anticipate couples’ needs and guide Product, Engineering, and Marketing priorities. Lead predictive and personalization modeling, including action likelihood, recommendations, onboarding, and engagement nudges. Experimentation & Insights Define frameworks for experimentation and lift measurement that prioritize couple-centric outcomes. Ensure tests and analyses help teams learn how to better support couples, not just move metrics. Cross-Functional Zone Leadership Serve as a core Zone Lead alongside Marketing, Product, and Engineering, ensuring data science strategy is tightly integrated with Product roadmaps and Engineering execution. Translate complex scientific insights into actionable guidance for cross-functional teams. Lead, mentor, and grow a team of data scientists and managers, building a culture of curiosity, rigor, and empathy. Partner with Engineering to ensure infrastructure supports scalable modeling, personalization, and experimentation. SUCCESSFUL CANDIDATES HAVE: 10+ years in data science or applied machine learning, with 5+ years managing teams and managers. Proven ability to use data science to improve user experience and outcomes in consumer-facing products. Expertise in predictive modeling, marketing attribution (MMM, MTA), LTV, engagement likelihood, ranking/retrieval, and uplift modeling. Strong background in statistics, machine learning, and causal inference, with fluency in Python and SQL. Deep understanding of growth, activation, and retention dynamics, lifecycle messaging, personalization, and MarTech systems. Experience partnering with and influencing senior leaders across Product, Engineering, and Marketing. Skilled at translating complex data insights into practical, couple-centered strategies that guide teams to act with purpose. WORK MODEL: This role is Together@TKWW-eligible and based near one of our office hubs. Starting September 15, 2025, you’ll be expected to work in the office two days a week as part of our hybrid work model. #LI-Hybrid At The Knot Worldwide, we believe you are more than a resume and invite you to go for it, take the leap of faith, and apply for this job. Together, we have an incredible opportunity to make it even easier for our customers to plan life’s most meaningful moments and for our small business owners to grow and scale. We would love to have you with us on our journey. WHAT WE LOVE ABOUT YOU: Commit to our customers : You act as one team on behalf of our customers. You lead with head and heart, and build what matters for life's most meaningful moments. Raise the bar: You define "great" and work backwards. You don't just accept how it's been done, but boldly define how it should be. You are unafraid to innovate, learn, and keep moving forward toward our shared vision. Be all in: You believe in our mission and take ownership of your work. You debate openly to reach the best outcomes, speaking with clarity and care, embracing diverse perspectives, then commit fully. Celebrate impact: You measure success by the outcomes you create. You hold yourself accountable to delivering value, while recognizing progress and the lessons learned along the way. You love to win, together. WHAT YOU LOVE ABOUT US: We believe in a wide range of holistic offerings to support our employees so that they can live our values day in and day out. From mental wellbeing, physical health and financial planning, to engaging perks and discounts, we are in the business of celebrating and supporting the Moments that Matter, both in and out of the office.. We offer flexible vacation, generous parental leave, and prioritize initiatives that support the growth, development, and happiness of our people. Together@TKWW is our approach to hybrid work. It’s designed to support how we work best: combining the flexibility we value with meaningful opportunities to connect in person. Whether a role is Together@TKWW-eligible or not, we believe in purposeful moments to come together, build strong relationships, and drive bold ideas forward. For Together@TKWW-eligible roles, this includes regular in-office time to foster collaboration and connection. For roles not eligible for in-office expectations , we support connection through virtual collaboration and intentional gatherings. To facilitate in-person collaboration, we have office spaces in Barcelona, Spain; Delhi, India; Galway, Ireland; London, England; New York, NY; and Washington, D.C. __ US Notice: The Knot Worldwide provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, or disability. In addition to federal law requirements, The Knot Worldwide complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. The Knot Worldwide expressly prohibits any form of workplace harassment based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. Privacy Notice: The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our The Knot Worldwide (TKWW) processes your personal data to evaluate your application, based on the legal ground of taking steps prior to entering into a potential employment contract. Only the data strictly necessary for this purpose is collected. In some cases, your data may also be processed based on TKWW’s legitimate interests (e.g., to improve recruitment practices or manage candidate pools), to which you can object at any time. You have the right to access, rectify, or delete your data, and to object to certain uses. To learn more about your rights, please consult our Privacy Policy . If you wish to file a complaint, you may contact the competent data protection authority. If you wish to file a complaint, you may contact the competent data protection authority.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world’s leading technology providers to accelerate the delivery of tomorrow’s electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Group/Division The KLA Services team headquartered in Milpitas, CA is our service organization that consists of Service Sales and Marketing, Spares Supply Chain management, Field Operations, Engineering, Product Training, and Technical Support. The KLA Services organization partners with our field teams and customers in all business sectors to maintain the high performance and productivity of our products through a flexible portfolio of services. Our comprehensive services include: proactive management of tools to identify and improve performance; expertise in optics, image processing and motion control with worldwide service engineers, 24/7 technical support teams and knowledge management systems; and an extensive parts network to ensure worldwide availability of parts. Job Description/Preferred Qualifications Join KLA’s Service Supply Chain team as a Summer Intern in Machine Learning ! Our service supply chain supports a wide range of spare parts—from basic hardware to highly sophisticated optics, lasers, and precision mechanical devices. To ensure optimal delivery performance, we leverage advanced analytics and machine learning to predict demand and improve planning processes. As an intern, you will: Build a graph representation of KLA’s spare parts demand network to enable predictive modeling and other advanced analytics. Develop and implement machine learning models (e.g., using PyTorch) to forecast monthly spare parts demand. Explore and apply graph-based approaches for network representation and prediction. Work with large datasets to uncover patterns and insights that traditional analytics cannot easily reveal. Collaborate with the supply chain and planning teams to integrate findings into actionable strategies. Utilize Linux command line tools and scripting for data processing and workflow automation. This internship offers hands-on experience applying cutting-edge machine learning techniques to real-world supply chain challenges. Minimum Qualifications Preferred Qualifications Strong proficiency in Python programming. Experience with at least one machine learning framework (e.g., PyTorch, TensorFlow, Keras). Familiarity with graph theory and its applications in machine learning is a plus. Comfort with Linux command line and basic scripting. Solid understanding of probability, statistics, and data analysis and visualization . Ability to communicate technical concepts clearly to both technical and non-technical audiences. Minimum Qualifications Enrollment in a graduate program (Master’s or Ph.D.) in a relevant field. Demonstrated experience in developing and applying machine learning models. Strong data wrangling and preprocessing skills (e.g., data cleaning and quality control). Ability to learn new tools and technologies quickly. Collaborative mindset and willingness to work in a team environment. Base Pay Range: $0.00 - $0.00 Per HourPrimary Location: USA-MI-Ann Arbor-KLAKLA’s total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA . Please ensure that you have searched KLA’s Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

William Blair is seeking graduate students to join our innovative technology team for a 12-week internship program during the summer of 2026. The program is designed to promote technology careers among high performing individuals from underrepresented backgrounds in the technology space, including but not limited to women currently enrolled, or intending to enroll, in a technology related program. Selected participants will have a unique opportunity to explore areas of statistical analysis, machine learning, deep learning, data science, data visualization, and data engineering to support mission critical business use cases. The summer program also includes training, community service, and social events. Responsibilities include but may not be limited to: Work on multiple data science, machine learning and data engineering projects in Azure cloud and SPARK environment Assemble large, complex data sets that meet functional / non-functional business requirements Work with large, complex data sources to derive actionable business insights with an aim of increased ROI Develop, test and deploy predictive models using various machine learning algorithms and translate results into business recommendations Communicate results to business audience through reports, dashboards and presentation Collaborate cross-functionally with business and technical stakeholders to identify & prioritize project requirements Work with data and analytics experts to strive for greater functionality in our data systems Required Technical Skills: Currently pursuing a Master’s Degree in Statistics, Business Analytics, Data Science or Computer Science with anticipated graduation between December 2026 and June 2027 Experience using statistical programming languages (R, Python) to manipulate data and draw insights from large data sets Working SQL knowledge and experience working with relational databases as well as NoSQL databases Knowledge and experience in statistical and data mining techniques Experience working with various machine learning / deep learning algorithms and frameworks Text Mining, NLP and Social Network Analysis Experience with data discovery and visualization tools Hands-on data engineering experience using structured and unstructured data Preferred Technical Skills: A successful history of manipulating, processing and extracting value from large disconnected datasets Experience with big data tools: Hadoop, Spark, Kafka, etc. Experience with data pipeline and workflow management tools: Airflow, Azure Data Factory etc. Experience with building processes supporting data transformation, data structures, metadata, dependency and workload management Experience with cloud cognitive eco-system like Azure, AWS

We are seeking a dynamic individual to manage a high-performing team within our organization. The Data Science Manager provides operational leadership for the Financial Insights & AI Solutions team within Corporate FP&A. As the Data Science Manager, you will work with a team to develop and deploy advanced analytical models and AI solutions across Finance & Business Operations. You will be a key contributor, collaborating closely with domain experts and stakeholders to ensure our projects are technically sound, strategically aligned, and deliver measurable value. This role focuses on aligning team capacity, delivery execution, and prioritization to the F&BO Roadmap and current business needs. This is an exciting opportunity to lead a critical function within our organization, driving innovation and transformation at the intersection of finance, technology, and business operations. Primary Responsibilities: People Leadership Directly manage Data Science team members, including goal setting, performance management, coaching, and career development. Foster a collaborative, inclusive, and high-performing team culture. Support talent development by identifying skill gaps and partnering with Corporate FP&A leadership on training and growth opportunities. Model Development: Oversee and support the development of predictive models and data-driven insights for a variety of mission-critical applications. Provide support across our business initiatives focusing on: Decision Intelligence, Predictive Analysis & Operations Automation Engage in continuous learning and development, staying current with the latest advances in AI/ML and data science to ensure fit-for-purpose and impactful approaches. Delivery & Resource Management Partner with the Business Insights & AI Solutions Director and Data Analytics Manager to ensure commitments are met and tasking aligns with business priorities Monitor delivery progress, risks, and dependencies Collaborate with a team of other applied scientists, data analysts, and financial professionals to apply predictive models and automation solutions Roadmap Execution & Prioritization Support prioritization and execution of the F&BO Analytics & AI Roadmap Partner with the Enterprise Transformation Office (ETO) Balance short-term delivery needs with longer-term capability development. Operating Model & Change Enablement Partner with the Business Insights & AI Solutions Director and the Enablement & Change Lead to support Organizational Change Management (OCM) activities. Help drive adoption of analytics and AI solutions through effective communication, stakeholder engagement, and enablement. Reinforce standard processes, governance, and best practices across the CoE. Stakeholder Communication & Leadership Engagement Communicate complex analytical findings, outcomes, and recommendations clearly to both technical and non-technical stakeholders to drive decision-making. Develop and present leadership briefings, including delivery status, capacity, risks, and outcomes. Communicate clearly with business stakeholders to align expectations and ensure shared understanding of priorities. Basic Qualifications: Bachelor’s degree in a quantitative field or a related discipline with 5+ years of relevant professional experience. Prior experience managing a team or project. Proficiency in a programming language such as Python or R and deep experience with common data science libraries (e.g., pandas, scikit-learn, TensorFlow, PyTorch). Preferred Qualifications: Basic understanding of Leidos financial data structures and processes Familiarity with cloud-based data science and machine learning platforms (e.g., AWS SageMaker, Azure ML). Experience with data visualization tools such as Tableau or Power BI. Knowledge of Generative AI technologies and their applications, including Large Language Models (LLMs). If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. Original Posting: January 20, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range: Pay Range $107,900.00 - $195,050.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Position Summary... The Customer Insights and Strategy (CIS) team is seeking a visionary Senior Manager to lead the design, development, and deployment of advanced Generative AI and Agentic AI solutions. In this role, you will spearhead innovation across multi-agent LLM systems, retrieval-augmented generation (RAG) pipelines, and scalable AI architectures to power intelligent, context-aware applications across Walmart’s enterprise. This is a high-impact opportunity to lead cutting-edge AI initiatives that redefine how Walmart connects with customers and operates at scale. What you'll do... Develop and Scale GenAI Strategy: Define a multi-year vision and enterprise roadmap for GenAI, applying a platform-centric approach to deliver scalable, reusable solutions. Lead Cross-Functional Collaboration: Influence and align stakeholders across Product, Marketing, Operations and engineering to ensure GenAI initiatives support strategic business goals. Lead Business Transformation: Embed GenAI-driven automation into core workflows to enhance productivity, streamline operations, and accelerate growth across business functions. Collaborate with Top Talent: Work alongside world-class engineers to architect and deliver high-impact GenAI solutions that address Walmart’s evolving business needs. Identify AI Opportunities: Proactively assess business processes to uncover gaps and inefficiencies that can be optimized through AI-driven solutions. What You Will Bring: Enterprise GenAI Leadership: Proven success driving GenAI strategy and implementations across organizations, with deep knowledge of scalable architectures and GenAI concepts. Cross-Functional Influence: Ability to align marketing, product, and engineering teams around AI-driven goals, translating complex tech into business impact. Innovation & Agility: Experience leading rapid experimentation with LLMs, prompt engineering, and agentic workflows to unlock new capabilities. Customer-Centric Mindset: Strong understanding of consumer behavior and marketing dynamics, ensuring AI solutions are grounded in real-world needs. Hands-On Technical Expertise: Skilled in building and deploying GenAI solutions using modern frameworks and cloud-native tools. Walmart’s ambition is to be America’s favorite place to shop with more customers and members across all income brackets, shopping more things, more often. As a Marketing team, we will change customers’ beliefs and behaviors to choose Walmart first by creating demand, building customer loyalty and strengthening brand equity. As a Senior Manager of AI within the Customer Insights and Strategy (CIS) team, you will play a pivotal role in driving marketing success through strategic vision and cutting-edge AI solutions. Our mission is to be indispensable agents of change, fueling Walmart’s ability to delight customers through: Data-driven decision-making enhances marketing performance and informs strategic planning. Automation and efficiency improvements that streamline operations and accelerate execution. Innovation at scale, embedding fast-paced experimentation into every aspect of our work. Customer-centric intelligence, ensuring our strategies are grounded in real human needs and behaviors. You’ll collaborate with Business Partners, Global Tech, and Product teams to unlock insights, build scalable AI tools, and shape the future of how Walmart connects with its customers. At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more. ‎ ‎ ‎ You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. ‎ For information about PTO, see https://one.walmart.com/notices . ‎ ‎ Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. ‎ Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. ‎ For information about benefits and eligibility, see One.Walmart . ‎ The annual salary range for this position is $110,000.00-$220,000.00 ‎ Additional compensation includes annual or quarterly performance bonuses. ‎ Additional compensation for certain positions may also include: ‎ ‎ - Stock ‎ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelor’s degree in computer science, engineering, or related area and 7 years’ experience in product management. Option 2: 9 years’ experience in product management or related area. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Master’s degree in Computer Science, Engineering, Business Administration, or related area and 6 years’ experience as a product manager, ideally working on consumer-facing, large-scale, highly complex B2B/C products, We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

About the Team The Strategic Finance team at OpenAI plays a critical role in shaping the company’s long-term trajectory. We partner closely with Product, Engineering, and Go-to-Market teams to inform high-stakes decisions through rigorous data science and economic modeling. As part of our expanding Data Science function, we’re building a best-in-class forecasting capability to drive real-time, data-driven decision-making across user growth, revenue, compute infrastructure, and more. We are developing a scalable forecasting platform to help us understand and anticipate business dynamics in an increasingly complex, usage-based world. Our models are foundational to planning, pricing, operational efficiency, and growth strategy — supporting key investment decisions and unlocking OpenAI’s full potential. About the Role We’re looking for a hands-on technical leader to build and lead a small but mighty team of applied data scientists and ML engineers to develop forecasting capabilities and platforms from the ground up. Your team will be responsible for building and scaling robust, interpretable, and production-ready forecasting systems. These models will power critical business decisions by predicting core metrics such as DAU/WAU, revenue, compute consumption, and profitability. You will work closely with Strategic Finance leaders to integrate these scalable forecasting capabilities into their operational rhythms and collaborate with the Growth team to forecast key KPIs. This is a highly cross-functional role that requires technical excellence, strong product intuition, and business acumen. You’ll collaborate with various partners to operationalize forecasting insights, influence company-wide strategy, and build foundational forecasting capabilities at OpenAI. This role is based in San Francisco, CA. We follow a hybrid work model of three days in the office per week and offer relocation assistance to new employees. In this role, you will: Build and manage a world-class team of applied data scientists and ML engineers to develop forecasting platforms at scale. Design and own the roadmap for the forecasting platform in partnership with cross-functional stakeholders. Collaborate closely with Strategic Finance teams to ensure forecasts are well integrated into planning processes, and executive decision-making. Work closely with cross-functional partners to help them adopt scientific, automated forecasting solutions. Own the end-to-end modeling lifecycle, including scoping, feature engineering, model development and prototyping, experimentation, deployment, monitoring, and explainability. Research and evaluate emerging tools and techniques in the forecasting space. Translate technical outputs into business-aligned recommendations and decision frameworks. You might thrive in this role if you have: Extensive experience building production-ready models for time series applications. Proven track record of building adjustable and explainable forecast models for multiple planning cycles. 10+ years of applied data science & engineering experience, with deep hands-on expertise in forecasting and predictive modeling. Demonstrated experience with model monitoring, debugging, and long-term maintenance in production environments. Excellent communication and storytelling skills — able to simplify complexity and influence executive stakeholders. Team leadership experience with a track record of building high-performing, engaged teams. An advanced degree (MS or PhD) in a quantitative field (e.g., Statistics, Computer Science, Economics, Operations Research). A self-directed, intellectually curious mindset and comfort leading ambiguous projects from 0→1. The ability to thrive in a dynamic environment — flexible, resourceful, and willing to do what it takes to succeed. Bonus if you have: Experience building or scaling forecasting platforms in a high-growth company. A passion for AI and a strong perspective on how machine learning should inform strategic decisions in fast-moving environments. About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement . Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form . No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link . OpenAI Global Applicant Privacy Policy At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.