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

IQVIA Information Partner Services team is hiring an Associate Data Science Director who will work with extremely complex data and methodologies in a fast-paced, ever-changing environment answering critical business questions for retail pharmacy and wholesaler clients. Combining modern analytic tools, methodologies, and challenging requests, this crucial role will help mold the way our team approaches analysis and builds data-driven analytics products. In addition, provide mentorship to the team and serve as a key liaison for our team with the client account team. Essential Functions Partner with pharmacy retailers and/or wholesalers and their IQVIA account teams to identify analytical and technical solutions, including appropriate data assets, statistical / machine learning models, algorithms and visualizations, that guide direct business transformation (analytical approaches that may be used include optimization, simulation, regression, mixed models, classification models, pattern recognition, machine learning, and deep learning).Design and implement stable, scalable and cost-effective data-centric solutions to complex business problems where analysis requires an in-depth knowledge of pharmacy retailer organizational objectives and data science domain expertise. Clear and concise articulation, presentation, and documentation of analytic and technical opportunities, constraints, recommendations, and action items to both internal and external senior management audiences.Research and analyze market landscapes and emerging platforms, patterns, practices, and methodologies to drive differentiated service offerings for clients and foster greater professional development opportunities for internal talent. Build expertise in cross-platform applications of IQVIA assets with a specialization in encrypted patient-level longitudinal healthcare claims data.Proactively manage own project timelines, risks and challenges and work out mitigation alternatives with the team under minimum supervision. Knowledge, Skills & Abilities Knowledge of pharmaceutical market and experience with encrypted patient-level/longitudinal healthcare claims.Advanced use of statistical programming languages (SQL, R, Python, SAS) to manipulate data and build statistical and machine learning models. Demonstrable consulting, analytical, interpretative, and problem-solving skills and proven ability to develop innovative approaches through creativity and critical thinking.Knowledge and experience with statistical and data mining concepts including multivariate analysis, significance testing, regression, decision trees, clustering, forecasting, sampling, propensity matching, scenario analysis, simulation, advanced modeling and machine learning techniques. Ability to manage client relationships, establish realistic expectations, evaluate and propose strategies that meet client needs, negotiate analysis needs and associated value.Excellent understanding of handling Big Data along with a drive to learn and master new techniques and technologies. Working knowledge of large-scale distributed data/computing tools such as Hadoop, Hive, Impala, Spark, etc.Strong organization and project planning skills, ability to perform multiple tasks simultaneously with minimal supervision while achieving quality standards and meeting deadlines. Knowledge of data reporting/manipulation and business intelligence tools such as RapidMiner, Spotfire, and/or Tableau.Excellent written and verbal communication skills, strong interpersonal skills, detail-oriented, and ability to work collaboratively across teams. Ability to work creatively and independently to carry out assignments of a complex nature.Willingness to learn new methodology, new technology, and new tools that will enhance offerings for retail pharmacy and wholesaler clients. Qualifications Degree requirements include one of the following with other knowledge/skills: Bachelors-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least ten years relevant pharmaceutical/health insurance/retail experienceMasters-level degree in Statistics, Data Science, IT, Computer Science, Mathematics, Physics, or another related field with at least six years relevant pharmaceutical/health insurance/retail experience Strong working knowledge of advanced SQL and other statistical programming languages, such as R, Python, and SASIn-depth knowledge of complex statistical methods Familiarity with retail pharmacy and/or health insurance operationsPrevious experience working collaboratively with internal and external teamsExcellent interpersonal and organization skills IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide . Learn more at https://jobs.iqvia.com IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe The potential base pay range for this role, when annualized, is $98,200.00 - $273,200.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Analytics Lead opening. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. This role can be hybrid (40% on site precence in Atlanta, Raleigh or Boston) or Remote (up to 20% onsite presence) and requires 5-10% international/ domestic travel. About the role You will help to inform on the commercial viability of various assets in development. You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs within Patient Solutions and Patient Evidence. Who you'll work with You will co-create with Integrated Insights Leads from early asset and late stage (Phase 0-3) teams, Real world evidence teams, Translational Medicine and Bioinformatics, Clinical operations, clinical recruitment, and asset teams, new product planning teams, Commercial teams, Medical Affairs, Market Access, Finance, and IT. Externally, you will work with data and analytics vendors and partners. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Patient Solutions and Evidence Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources. Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and Engine and Supervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 8-10+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc., is required Minimum of 8-10+ years of experience developing program/project plans and leading programs/projects from initiation to implementation is required At least 8 years of experience working with real world data (Claims data, EMR, IQVIA, -omics, etc) Minimum of 8-10+ years of experience with programming and application development using Python or R is preferred Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Research and Development and Clinical trials sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) Internal applicants should be in their current job for at least 12 months, must meet performance standards and are not on formal corrective/disciplinary process (PIP), warning, final warning, or compliance warning letters within the last 12 months. Please inform your Manager or your Talent Partner before applying to any internal job opportunities. Unless explicitly stated in the description, this role is hybrid with 40% of your time spent in the office, regardless of your current contractual agreement. If your current working arrangements differ, please contact your Talent Partner to discuss before submitting your application. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel. Requisition ID: 91962 Recruiter: Parth Suthar Hiring Manager: Eric Dickinson Talent Partner: Cornelius Luedtke Job Level: MM I Please consult HRAnswers for more information on job levels.

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.

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

RDQ225R487 Job Description Databricks is looking for a Senior Manager, Infrastructure Data Science to shape the future of Databricks infrastructure through data science. You will tackle some of the most complex challenges related to capacity planning, performance optimization, reliability engineering, infrastructure efficiency, and customer experience. You will lead a team of data scientists and work directly in partnership with engineering leaders to empower them with data-driven insights and solutions. At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, CA to a global organization with over 7000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest-growing SaaS companies in the world. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. The impact you will have: Thought leadership and strategic guidance on infrastructure planning, balancing current needs with future growth projections to ensure scalability and cost-effectiveness. Promote a data-driven approach to infrastructure decisions, influencing stakeholders across engineering, and support to leverage data science insights for high-impact, aligned strategies. Implement data-driven solutions to identify, predict, and mitigate infrastructure risks and failures, reducing downtime and improving system reliability and performance, directly impacting end-user satisfaction and operational continuity. Spearhead analyses to improve resource utilization efficiency, identifying and eliminating inefficiencies across infrastructure usage, resulting in cost savings and optimized performance. Establish data frameworks that empower support teams to troubleshoot and resolve product issues faster, decreasing response times and enhancing customer experience and support quality. Mentor and manage a team of data scientists, instilling best practices in data science, engineering, and fostering a collaborative environment focused on innovative, scalable infrastructure solutions. What we look for: 10+ years of infrastructure data science, machine learning, advanced analytics experience in high velocity, high-growth companies 5+ years of management experience hiring and developing teams Experience developing data science, analytics, and machine learning and AI products and capabilities in a cloud environment Knowledge of statistics and rigorous analytical techniques Experience with data visualization tools, knowledge of data engineering, data modeling, and big data technologies Leadership skills and experience to lead across functional and organizational lines Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team Bias to action and passion for delivering high-quality data solutions A passion for problem-solving and comfort with ambiguity MS or Ph.D. in quantitative fields (Statistics, Math, CS or Engineering)

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: Multi-Family Data Analytics & Computational Sciences Job Category: Professional 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. Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases. 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 and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology. The Director will report to the Executive Director, R&D Data Science and Digital Health Immunology. The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) Computer Vision and Digital Health (CVDH) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs and other relevant functions. Responsibilities Provide strategic input into the Immunology R&D DSDH CVDH priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Work closely with the broader Data Science and Digital Health (DSDH) team and Immunology Therapeutic Area (TA) / Function Data Science teams to execute on critical data science initiatives (focused on computer vision-based endpoints and digital health solutions) to support delivery of the short and long-term J&J Innovative Medicine R&D Data Science and Digital Health strategy Collaborate with Immunology TA and functions in J&J Innovative Medicine R&D, the DSDH Insights & Analytics team, and DSDH Data Platform teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment Develop a deep understanding of the imaging and digital health data, technical solutions and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Champion, build and drive large strategic and sophisticated DSDH projects to achieve the intended impact in a timely manner Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making Other ad hoc responsibilities in support of the DSDH team's objectives and overall R&D objectives, as required Required Qualifications: MD, and/or PhD and/or Master's degree in data science, computer science, bioinformatics, biomedical engineering or applied mathematics; experience in in data science, bioinformatics, computer science 6+ years of progressive professional experience in clinical/academic environment, pharmaceutical R&D, data science, computer vision, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science, computer vision, digital health space. Knowledge of Immunology. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims. Preferred Advanced degree (e.g., MD, PhD, MBA or equivalent) Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in diagnostic medical imaging and digital health sensing data Ability to travel 25%, domestic and global The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge, MA. This role currently follows a hybrid schedule of three days in the office and two days remotely per week (no fully remote option). 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 internal candidates contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $164,000 to $282,900. 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 #JRDDS #JNJIMRND-DS #LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Roadmapping, Statistical Computing, Strategic Thinking, Tactical Planning, Technical Credibility

Data Science Intern This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Intern Education & Experience Required: Working towards a Bachelor's and/or Master's degree with a focus in Data Science, Computer Science, Computer Engineering, Software development, or other IT related field. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #interns Job: Engineering Job Level: N/A "The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Hourly Salary USD 35.00 - 46.00 in Massachusetts // 35.00 - 46.00 in California // 35.00 - 46.00 in Minnesota & North Carolina & Texas & Wisconsin The listed salary range reflects base salary. Variable incentives may also be offered." Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

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: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Johnson & Johnson Innovative Medicine: Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at Janssen Innovative Medicine. Position Summary: The Director, Data Science Strategy & Operations will play a pivotal role in driving the execution of critical initiatives for the Data Science & Digital Health (DSDH) organization and the integration of all IT and Data investments for R&D governance. This leader will oversee portfolio and project management activities (leveraging Wrike), lead a matrixed team of project managers, and ensure strategic alignment and operational excellence across the Data Science portfolio. Key Responsibilities: Strategic Leadership & Execution Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies. Design and implement appropriate governance for the Integrated IT roadmap for R&D Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners. Provide strategic input and operational expertise, including use business case quantification and value articulation. Portfolio & Project Management Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects. Implement and optimize project management processes and best practices, including using Wrike. Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes. Team Leadership Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture. Drive change management and continuous improvement initiatives within the team and across the organization. Financial & Business Planning Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap. Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance. Stakeholder Engagement Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions. Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders. Required Qualifications: Advanced degree (PhD or Master's) in Computer Science, Statistics, Data Science, or Business-Related field, or demonstrated equivalent work experience within a multi-national pharmaceutical company. 7+ years' experience in data science, digital health, or related fields, including significant experience in portfolio and project management. Demonstrated experience leading and developing teams of project managers. Expertise with project management tools (Wrike preferred) and methodologies. Proven ability to drive strategic initiatives and manage complex, cross-functional projects. Strong financial acumen and experience with budget management. Excellent communication, interpersonal, and leadership skills. Preferred Qualifications: Experience with healthcare datasets (EHR, claims, registries). Familiarity with the use of AI tools to improve productivity Familiarity with data visualization tools (e.g., R, Tableau, Spotfire). Experience in large matrixed organizations or consulting environments. Change management certification or training. 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: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: y 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.

Make your mark for patients To strengthen our Global Advanced Analytics team, we are looking for an adaptable, collaborative individual with an intrapreneurial mindset for our Senior Manager, Go-to-Market Data Science opening. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business. This hybrid role is based in our Atlanta, GA, Raleigh, NC or Boston, MA offices, requiring 40% onsite presence. About the role You will be responsible for making exceptional business impact with the use of secondary data and insights development through advanced analytics methods, enabling an increased use of data and, where applicable, reducing the necessity for building primary data. You will also be responsible for managing and implementing advanced analytics/AI projects to ensure successful delivery. You will oversee the ongoing operations of advanced analytics solutions to ensure that models continue to work and scale them up with additional demand and applications. You will serve as the subject matter expert for Advanced Analytics/AI capabilities in support of business needs. Who you'll work with You will work with the Global Advanced Analytics Team Leads, US and Global Go-to-Market Teams, Integrated Insights Hub Leads, as well as business stakeholders in the Patient Value Units. Externally, you will work with payors and analytics vendors that support data science projects. The mission of this role is to deliver data-driven actionable insights from advanced analytics that create high impact patient value. What you'll do Analytics Leadership: Provide clear expertise for opportunities to leverage advanced analytics, especially where they are advantageous to reducing the need for primary data or have high marginal impact Deliver the most impactful data and analytics projects that: address the most compelling business questions, and/or identify new opportunities for patients and UCB through effective visual displays of quantitative and qualitative information Partnership and Collaboration: Be the key strategic partner for the Go-to-Market or functional stakeholders and co-create plans and priorities for data and advanced analytics with them together with the Go-To-Market Hub Leads. Ensure tight relationships and collaboration with IT, Data Office, and other Analytics teams using relevant data sources Team Leadership. Serve as a mentor and guide to more junior data scientists and translators in demonstrating the application of cutting-edge analytics, clear communication and presentation of insights and practical/pragmatic implementation of key recommendations Drive the execution of regional and local data-driven insights research and data analytics plans and priorities Foster a strong data science community with significant business acumen and communication skills across Hubs and EngineSupervise the conduct of advanced analytics studies in a collaborative manner ensuring that the study methodology is appropriate to deliver reliable results. Improve the team's partnership with, and impact on, key internal (UCB) and external stakeholders within the specific area of focus by: developing and executing a communication and collaboration plan with key UCB stakeholders increasing personal and the Advanced Analytics team's knowledge of the business by ensuring that she/he and each team member has direct interaction with patients and/or other external stakeholders Attract, retain, motivate, and develop key talent for the Advanced Analytics team; coach and develop team members Drive deep partnership with the Hub insights team and other "fellow" Engines and insights generating functions (e.g. regional analytics teams) allowing for a joined delivery of cross-functional, deep impactful insights Be a champion for a data-driven, decision-making culture Interested? For this role we're looking for the following education, experience and skills Minimum Experience/Skills Required: Bachelor's degree in quantitative area Minimum of 6-8+ years experience applying predictive modeling techniques such as ML, decision trees, ensemble learning, neural networks etc, and data transformation such as data cleansing and integration, fuzzy matching, etc. Minimum of 6-8+ years of experience developing program/project plans and leading programs/projects from initiation to implementation Minimum of 6-8+ years of experience with programming and application development using Python or R Preferred Experience/Skills: Master/Doctor's degree in quantitative area Knowledge of pharmaceutical industry, ideally specialty pharma and biologic treatments Deep expertise in leveraging data science methodologies within the Go-to-Market sphere of the pharmaceutical industry. The Go-to-Market domain encompasses the commercial, medical, and market access facets of the business Expertise in analyzing a range of large, secondary transactional databases, unstructured data or other computationally difficult challenges Mastery of project management skills You are a structured problem solver Possess an 80/20 mindset to push for fast model iterations Ability to interpret model results and identify potential model errors (e.g., overfitting, model bias, correlation vs causation) Global role, so willingness and flexibility to work across geographies / time zones (sometimes outside of core hours) This positions reasonably anticipated base salary range is $124,000- $162,800 per year. The actual salary offered will take into account internal equity and may also vary depending on the candidate's geographic region, job-related knowledge, skills, and experience, among other factors. Are you ready to 'go beyond' to create value and make your mark for patients? If this sounds like you, then we would love to hear from you! About us UCB is a global biopharmaceutical company, focusing on neurology and immunology. We are over 9.000 people in all four corners of the globe, inspired by patients and driven by science. Why work with us? At UCB, we don't just complete tasks, we create value. We aren't afraid to push forward, collaborate, and innovate to make our mark for patients. We have a caring, supportive culture where everyone feels included, respected, and has equal opportunities to do their best work. We 'go beyond' to create value for our patients, and always with a human focus, whether that's on our patients, our employees, or our planet. Working for us, you will discover a place where you can grow, and have the freedom to carve your own career path to achieve your full potential. At UCB, we've embraced a hybrid-first approach to work, bringing teams together in local hubs to foster collaborative curiosity. Unless explicitly stated in the description or precluded by the nature of the position, roles are hybrid with 40% of your time spent in the office. UCB is an equal opportunity employer. All employment decisions will be made without regard to any characteristic protected by applicable federal, state, or local law. UCB invites you to voluntarily self-identify during the application process. Provision of self-identification information is entirely voluntary and a decision to provide or not provide such information will not have any effect on your application for employment, your employment with UCB, or otherwise subject you to any adverse treatment. Any information you provide will be considered confidential and will be kept separate from your application and/or personnel file and will only be used in accordance with applicable laws, orders, and regulations. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on US-Reasonable_Accommodation@ucb.com for application to US based roles. Please note should your enquiry not relate to adjustments; we will not be able to support you through this channel.

US Conec, Ltd. Engineering Innovation. Precision Plastics. Powering AI. US Conec, Ltd. is a trusted, global company that prides itself on engineering excellence-creating innovative connectivity solutions that support today's most important technologies. We foster a friendly, inclusive culture that values teamwork, creativity, and mutual respect. At US Conec, you'll find real opportunities to grow and make a meaningful impact in a company that genuinely cares about its people and its customers. With competitive compensation, excellent benefits, and a supportive environment, this is a place where you can build your future-whether your interests lie in manufacturing, engineering, operations, or beyond. Metrology Data Science Intern - Hickory, North Carolina Summer 2026 About US Conec Ltd At US Conec, we design and manufacture precision fiber-optic interconnects that power the world's fastest data centers, telecom networks, and supercomputers. In other words? We're the backbone powering AI. Role Overview We're looking for a Metrology Data Science Intern who's excited to roll up their sleeves and turn raw measurement data into powerful insights. You'll team up with our metrology engineers, build tools that save time, and help everyone make smarter, data-driven decisions. What You'll Do Dream up and build data-analysis scripts that automate repetitive tasks. Create data pipelines that pull measurement results straight from the lab into our central database. Work with engineers to write clear, step-by-step data workflows and instructions. Prototype handy apps or dashboards that lighten the load for operators. Possible Projects Auto-generate polished, unified measurement reports so everyone's on the same page. Set up real-time data ingestion and validation for our metrology instruments. Design interactive dashboards for quick QA checks and trend spotting. Explore machine-learning ideas for sniffing out anomalies in our data. What We're Looking For A solid grasp of statistics and data-science fundamentals. Hands-on experience with Python (Pandas, NumPy) or MATLAB. Familiarity with data-visualization libraries or tools (Matplotlib, Plotly, Power BI). Comfort writing basic SQL or working with databases. Great communicator who loves documenting processes and collaborating. Join US Conec today and be part of a team that values each other, promotes innovation and growth, and strives to exceed customer expectations in everything we do. US Conec is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, gender expression, national origin, age, disability, protected veteran status, or any other legally protected characteristics

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: Horsham, Pennsylvania, United States of America, Malvern, Pennsylvania, United States of America, Spring House, Pennsylvania, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for a Sr Director, Head of Data Science & Digital Health- Therapeutics Development & Supply (TDS) This position can be located in Spring House, PA; Malvern, PA; Horsham, PA; or Beerse, Belgium. For candidate based in EMEA with interest in working in Beerse, please apply to requisition: R-047946 Travel: Up to ~25% domestic/international Reports to: VP, R&D Data Science- DPDS 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 Role Summary Therapeutics Development & Supply (TDS) is the bridge between scientific discovery and clinical application, encompassing Chemistry, Manufacturing & Controls (CMC), Device Development, and Clinical Supply Chain. This organization ensures that every molecule, modality, and delivery system is robustly developed, scaled, and supplied under rigorous quality and regulatory standards. We are seeking a Global Head of Data Science & Digital Health- TDS to enable and embed AI/ML and advanced analytics into the core of drug development and supply. In close partnership with TDS teams and the broader DPDS organization, this leader will transform process design, scale-up, and clinical supply optimization into data-driven engines of speed, reliability, and compliance across all modalities-small molecules, biologics, and cell & gene therapies. By championing digital twins, predictive modeling, and GenAI-powered knowledge acceleration, this role will industrialize development processes and strengthen J&J's leadership in innovative medicine through deep collaboration with TDS functions, JJT, and enterprise data/AI partners. Key Responsibilities Strategy & Portfolio Leadership: Partner to define and execute the TDS Data Science strategy aligned to TDS/DPDS priorities; build a multi-year roadmap for data, analytics, AI/ML (incl. GenAI); manage portfolio prioritization, funding, and value realization. CMC, Product & Process Development: Enable scientists and engineers to build and expand scientific models by providing an ecosystem of tools, standards, and scalable capabilities. Support citizen data scientists and DOS teams within TDS through training and frameworks, ensure model governance and interoperability, and create pathways to scale models for broader utilization and reuse. Provide expert guidance and advanced data/modeling support where needed, while fostering collaboration across TDS modalities, DPDS, and the broader R&D organization. Device/Combination Product & Platform Engineering: Apply reliability modeling, image/signal analytics, and simulation to device/combination product performance and manufacturability. Clinical Supply Chain Analytics: Build forecasting, simulation and optimization engines for clinical supply, IRT signal integration, and risk-based inventory strategies; develop scenario planning/digital twin for clinical supply networks. Platforms, Data & MLOps: Co-own with DOS and JJT the data and ML platform architecture, MLOps, model monitoring, and governance for GxP contexts. GenAI & Knowledge Acceleration: Lead targeted use of GenAI/LLMs for technical documentation, regulatory authoring aids, and knowledge acceleration. External Innovation & Partnerships: Scout and partner with academia/startups/CROs on cutting-edge discovery, development and manufacturing analytics. People & Community Leadership: Build and lead a global team of data scientists, AI/ML engineers and applied statisticians; upskill TDS Scientists and Engineers with Data and AI/ML fluency. Quality, Safety & Compliance: Ensure data integrity, model validation, computerized systems compliance, and transparent model interpretability in regulated environments. Qualifications Required: PhD (or equivalent experience) in Chemical/Biochemical Engineering, Bioinformatics Pharmaceutical Sciences, AI/ML, Applied Math/Statistics or related field. 15+ years applied data science/AI leadership in biopharma development/CMC and/or clinical supply, including experience leading multi-disciplinary teams in a matrix setting. Demonstrated outcomes in process and analytical development or clinical supply analytics. Fluency with modern ML techniques, and MLOps on cloud platforms; experience integrating with LIMS/ELN/MES. Proven ability to synchronize tech and data science roadmaps, and drive portfolio value realization. Excellent communication and matrix leadership across scientific, technical, and business stakeholders in a global organization. Preferred: Experience across multi-modality portfolios (small/large molecules, cell & gene). Familiarity with GenAI/LLMs in R&D settings, agents, and AI deployments in a regulatory setting. Prior collaboration with External Innovation partners in development/manufacturing technologies. 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. #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: Advanced Analytics, Budget Management, Business Alignment, Compliance Management, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Strategic Thinking

CURRENT EMPLOYEES - Please apply using "Jobs Hub" in Workday. This career site is for external applicants only. A Data Science Geologist bridges the gap between traditional earth sciences and advanced computational analytics. This role focuses on automating geological workflows and building predictive models to enhance resource discovery and extraction. Key Responsibilities Predictive Modeling: Develop machine learning or geospatial models to detect geological features and predict reservoir quality. Data Integration: Clean and integrate diverse datasets, including seismic, well-log, geochemical, rock-based, and petrophysical analyses. Spatial Analysis: Use GIS and subsurface mapping tools to perform complex spatial reasoning and create interactive geological maps. Automated Workflows: Build and maintain data pipelines to automate routine geological reporting and analysis. Stakeholder Communication: Translate complex data findings into actionable insights for both technical teams and business decision-makers. Qualifications A Bachelor's degree in Geoscience or related fields. Data Science also welcome. Minimum of 5 years data geoscience experience. Programming: Proficiency in Python (Pandas, Scikit-learn, PyTorch) or R for statistical analysis. Database Management: Expertise in SQL and industry-standard geological databases. Geospatial Tools: Expertise in GIS software such as ArcGIS, QGIS, or 3D modeling software like Petrel. Machine Learning: Strong grasp of clustering, regression, and anomaly detection algorithms applied to subsurface data. Data Visualization: Skill in using tools like Power BI, Tableau, or Python libraries (Matplotlib, Seaborn) to represent spatial data. Diamondback is an Equal Employment Opportunity Employer. Diamondback provides equal employment opportunities to all qualified applicants without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, veteran or disability status, genetic information, pregnancy, or any other status protected by law. Diamondback participates in E-Verify. Learn more about E-Verify.

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, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is flexible- Flexible- Titusville, NJ; Raritan, NJ; Spring House, PA; Cambridge, MA; or San Diego, CA J&J Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, immunology, neuroscience, cardiopulmonary and specialty ophthalmology. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market - from patients to practitioners and from clinics to hospitals. To learn more about Johnson & Johnson Innovative Medicine visit https://innovativemedicine.jnj.com/ The R&D Data Science & Digital Health, Real-World Evidence (RWE) team at J&J Innovative Medicine is dedicated to developing innovative evidence solutions and critical insights through diverse data sources, including RWD, trial data and emerging innovative data sources, to support clinical programs and regulatory decision-making. We are seeking a visionary Senior Director to lead Real-World Evidence (RWE) strategy and execution across therapeutic areas (xTA). This role will be pivotal in shaping the future of RWE at the organization - driving internal/external collaborations, advancing regulatory-grade evidence generation, and elevating our scientific leadership both internally and externally. The successful candidate will partner closely with senior leaders across R&D and commercial to build an integrated, agile, and forward-thinking RWE ecosystem. This includes leading strategic initiatives, influencing regulatory policy, and representing organization as a thought leader in the global RWE community. Key Responsibilities Strategic Leadership & Ecosystem Building Define and execute the RWE initiatives across therapeutic areas, ensuring alignment with long-term organizational goals. Lead cross-functional RWE committees and foster high-impact partnerships with internal and external stakeholders. Shape and elevate the enterprise-wide RWE ecosystem through innovation, governance, and capability building. Regulatory Policy & Scientific Influence Serve as a strategic advisor on regulatory-grade evidence generation and policy shaping. Lead preparation and presentation of scientific data packages for regulatory submissions and agency interactions. Represent J&J in external forums to influence RWE standards and regulatory expectations. Scientific Leadership & Methodological Excellence Chair the Methodology Review Board (MRB) and oversee a portfolio of high-impact RWE projects. Establish best practices for novel study designs and implementation. Promote continuous learning and innovation in emerging RWE methodologies and technologies. Develop frameworks and tools to scale evidence generation and accelerate delivery. Champion a culture of scientific rigor, collaboration, and execution excellence. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of advanced statistical methods. Experience with diverse data sources (EHR, claims, registries, trial data, digital health). Strong communication skills, with the ability to effectively engage both technical and non-technical stakeholders. Proven leadership and influencing capabilities, with a track record of inspiring teams and driving cross-functional alignment. Highly motivated and intellectually curious, with strong executional rigor and a passion for solving complex challenges. Proficiency in R, Python, or SQL. Preferred qualifications: Expertise in regulatory-grade evidence generation and regulatory engagement. Strong leadership in cross-functional initiatives and ability to influence without authority. Subject matter expertise in key therapeutic areas including Oncology, Immunology, Neuroscience. Experience in matrixed organizations and global stakeholder engagement. 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. The anticipated base pay range for this position is $173,000 to $299,000 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 #JRDDS #JNJDataScience #JNJIMRND-DS Required Skills: Preferred Skills: The anticipated base pay range for this position is : Additional Description for Pay Transparency:

Recognized as the No. 1 site trusted by real estate professionals, Realtor.com has been at the forefront of online real estate for over 25 years, connecting buyers, sellers, and renters with trusted insights and expert guidance to find their perfect home. Through its robust suite of tools, Realtor.com not only makes a significant impact on the real estate industry at large, but for consumers, navigating the biggest purchase they will make in their life, by providing a user experience that is easy to use, easy to understand, and most of all, easy to make decisions. Join us on our mission to empower more people to find their way home by breaking barriers to entry, making the right connections, and building confidence through expert guidance. About the Role Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Customer Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of our customer experience and to drive the company's commercial performance.We are looking for a hands-on, experienced manager to lead a team of data scientists and business analysts, acting as a trusted partner to our sales, marketing, and product stakeholders helping them answer the most critical business questions. Reporting to the Director of Commercial Data Science & Analytics, this role manages multiple areas of work and plays a critical part in driving key strategies and decisions on how to improve sales, customer acquisition, retention, and growth.This is a job for a full-stack data scientist with leadership skills and significant experience in stakeholder management and project management. You are expected to not just react to needs/asks but also actively identify opportunities to move the needle in meaningful ways, in collaboration with a diverse set of cross-functional partners across product, sales, B2B Marketing, engineering, finance, and others. What you'll do Lead and mentor a team of data scientists and business analysts, providing technical guidance and career coaching, establishing the frameworks for managing and executing work, ensuring quality of work and on-time completion, and fostering a culture of collaboration and innovation. Develop data and analytics strategies that are aligned with goals and priorities in the assigned business areas. Partner closely with stakeholders to understand/clarify needs and requirements, and work with team members to conduct analysis and/or develop data science solutions to address the needs. Work with large and complex data sets to solve a wide array of challenging problems using different data science methods including but not limited to regression, classification, time series, cluster analysis, and advanced machine learning algorithms. Create trusted analytic data layers that serve as the single version of truth and enable wide access to key data and metrics. Build and continuously improve reporting capabilities (e.g., Tableau dashboards) that provide self-serve access to valuable insights about the business and empower decision making. Carry out deep-dive analysis to explain observations and trends. Build data science models to surface actionable insights from large and complex data, predict trends or customer propensity, and optimize operations and resource allocations. Design and execute experimentation to test business hypotheses, prepare test readouts, and provide data-driven recommendations. Prepare deliverables and regularly present work to technical and non-technical audiences. You will convince and influence leaders using clear insights and recommendations, and build credibility through structure and clarity. Build strong partnerships with a wide range of cross-functional stakeholders and actively identify and unlock opportunities to improve business performance with data and analytics. Closely collaborate across the Customer Data Science & Analytics organization to ensure broad adoption of data science and analytics initiatives to drive value across the entire customer business. How We Work: We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together. What you'll bring We are looking for a player-coach leader who's intellectually curious, passionate about solving complex business problems using data and analytics, and is able to move fast while maintaining focus on high-impact projects. Minimum Qualifications Bachelor's degree, ideally in a quantitative field (e.g., Statistics, Applied Mathematics, Operations Research,Engineering, Econometrics, Data Science, Computer Science). 6+ years of professional experience in data science and analytics, with 2+ years experience managing people. SQL fluency is a must, with 5+ years of experience. 3+ years of experience using a scripting language like Python or R. Significant experience with experimentation in a business context, including test design, execution, tracking and analysis of results, and readout/recommendations. Strong communication skills for stakeholder engagement and team leadership. Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities. Experience in collaborating with cross-functional partners. Experience managing multiple priorities and adapting to changing business needs. Preferred Qualifications Master's or Ph.D. degree in a quantitative field or in Business Analytics with a strong quantitative background. Experience with cloud-based data environments such as Snowflake and AWS. Experience building and managing analytic data layers. Knowledge of ETL processes, data environments, data governance principles, etc. Knowledge of DBT, Airflow, and Snowflake preferred. Experience in leading reporting/data visualization capabilities (using Tableau or similar tools). Understanding of infrastructure, monitoring, and alerting necessary to support highly visible and business-critical reporting. Demonstrated ability to develop a roadmap for complex technical initiatives and effectively communicate progress against that roadmap. How we Reward you: Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to: Inclusive and Competitive medical, Rx, dental, and vision coverage Family forming benefits 13 Paid Holidays Flexible Time Off 8 hours of paid Volunteer Time off Immediate eligibility into Company 401(k) plan with 3.5% company match Tuition Reimbursement program for degreed and non-degreed programs 1:1 personalized Financial Planning Sessions Student Debt Retirement Savings Match program Free snacks and refreshments in each office location Do the best work of your life at Realtor.com Here, you'll partner with a diverse team of experts as you use leading-edge tech to empower everyone to meet a crucial goal: finding their way home. And you'll find your way home too. At Realtor.com, you'll bring your full self to work as you innovate with speed, serve our consumers, and champion your teammates. In return, we'll provide you with a warm, welcoming, and inclusive culture; intellectual challenges; and the development opportunities you need to grow. Diversity is important to us, therefore, Realtor.com is an Equal Opportunity Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, Realtor.com will provide reasonable accommodations for otherwise qualified disabled individuals.

We're looking for a new leader in our data organization to guide and grow our product data science team at Spring Health. This is primarily a coach role: you'll spend a majority of your time on leadership, team enablement, and cross-functional strategy, with the opportunity to get hands-on with strategy and analysis for the most critical initiatives. You will lead product data science across our R&D organization, spanning both our member-facing and provider-facing experiences, with a focus on discovering growth opportunities through experimentation and enabling the broader R&D team to execute on them. You'll help refine and operationalize our metric tree, with a particular focus on acquisition and activation across the full ecosystem of how members find care and how providers deliver it. Your work will help more people who need care successfully get into and stay in care long enough to get better, in line with our mission to remove all barriers to mental health. What you'll be doing Work with R&D leaders to set the vision for how product data science drives growth, especially in our acquisition and activation funnels. This includes how we use experimentation, causal inference, and behavioral analysis to identify and prioritize the most impactful opportunities. Partner with Product, Design, and other R&D teams to refine and align on our metric tree, ensuring we are focused on the right measures of success and can clearly see the impact of our work. Design and continuously refine how the product data science team operates within R&D: roles and responsibilities, collaboration models, team rituals, and how we partner with other data and R&D teams. Manage and develop a team of data scientists supporting multiple areas within R&D. This includes 1:1s, performance reviews, feedback, and clear growth paths that build both technical and product/strategy skills. Work with your team and cross-functional partners to design and maintain experimentation and measurement frameworks (e.g., clear hypotheses, guardrail metrics, success criteria) that can be reused across R&D and make it easier to run high-quality tests. Collaborate with Data Analytics and Analytics Engineering to ensure that our metric tree and core growth KPIs are implemented consistently in our data models, documented clearly, and easily accessible across the company. What success looks like in this role: Your team regularly identifies high-quality growth opportunities through experimentation and analysis, and partners with R&D to execute on them, leading to meaningful improvements in key product and member outcomes. Experimentation continues to grow as a core part of how R&D operates: tests are well-designed, results are clear and actionable, and learnings are documented and reused across teams. Your data scientists grow in both impact and independence: they are trusted partners to their stakeholders, they take on increasingly strategic work, and they help shape roadmaps rather than only responding to requests. What we expect from you You are passionate about changing the face of mental health care and Spring Health's mission to remove all barriers to mental health resonates with you. You have substantial experience (typically 10+ years) working with data in analytics or data science roles, with a strong focus on product and/or growth for digital products. You have experience (typically 3+ years) experience managing and mentoring data scientists or product analysts, including responsibility for performance, career development, and hiring. You have deep experience using experimentation to drive growth: defining hypotheses and KPIs, designing and interpreting A/B tests and other experiments, and translating results into clear recommendations for product and business partners. You are comfortable owning and refining a metric tree / KPI hierarchy, and you can bring stakeholders together around shared definitions and measures of success. You are deeply fluent in growth thinking: you're comfortable mapping acquisition and activation funnels, identifying friction points, and using tools like funnel analysis, cohort analysis, and growth loops to find and size opportunities. You have experience using modeling and causal inference (e.g., drivers analyses, uplift/propensity models) to identify what's truly driving key metrics and where to focus experiments. You're comfortable diving into SQL and Python code when needed to sanity-check data, review your team's work, and give clear technical guidance. You have experience working with a modern data stack (for example, a cloud data warehouse, dbt, and a BI tool like Looker) and understand how good data modeling and a strong semantic layer enable consistent metrics. You have strong user and stakeholder empathy: you can understand the challenges facing R&D teams and translate them into data science projects and experimentation roadmaps that meaningfully improve how we get members into care. You are humble, highly motivated, and thrive in fast-paced, ambiguous environments. You see process and structure as tools to enable impact, not ends in themselves. The target base salary range for this position is $190,000 - $232,500 and is part of a competitive total rewards package including stock options and benefits. Individual pay may vary from the target range and is determined by a number of factors including experience, location, internal pay equity, and other relevant business considerations. We review all employee pay and compensation programs annually using Radford Global Compensation Database at minimum to ensure competitive and fair pay. Benefits provided by Spring Health: Note: We have even more benefits than listed here and below, your recruiter will provide more in-depth information as you continue in the interview process. Benefits are subject to individual plan requirements and eligibility criteria. Health, Dental, Vision benefits start on your first day at Spring. You and your dependents also receive access to One Medical accounts HSA and FSA plans are also available, with Spring contributing up to $1K for HSAs, depending on your plan type. Employer sponsored 401(k) match of up to 2% for retirement planning A yearly allotment of no cost visits to the Spring Health network of therapists, coaches, and medication management providers for you and your dependents. We offer competitive paid time off policies including vacation, sick leave and company holidays. At 6 months tenure with Spring, we offer parental leave of 18 weeks for birthing parents and 16 weeks for non-birthing parents. Access to Noom, a weight management program-based in psychology, that's tailored to your unique needs and goals. Access to fertility care support through Carrot, in addition to $4,000 reimbursement for related fertility expenses. Access to Wellhub, which connects employees to the best options for fitness, mindfulness, nutrition, and sleep in one subscription Access to BrightHorizons, which provides sponsored child care, back-up care, and elder care Up to $1,000 Professional Development Reimbursement a year. $200 per year donation matching to support your favorite causes. Not sure if you meet every requirement? Research shows that women and people from historically underrepresented communities often hesitate to apply for roles unless they meet every qualification compared to other similarly-qualified candidates. At Spring Health, we are committed to fostering a workplace where everyone feels valued, empowered, and supported to Thrive. If this role excites you, we encourage you to apply. Ready to do the most impactful work of your life? Learn more about our values, what it's like to work here, and how hypergrowth meets impact at Spring Health: Our Values Our privacy policy: https://springhealth.com/privacy-policy/ Spring Health is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex, marital status, ancestry, disability, genetic information, veteran status, gender identity or expression, sexual orientation, pregnancy, or other applicable legally protected characteristic. We also consider qualified applicants regardless of criminal histories, consistent with applicable legal requirements. Spring Health is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans. If you have a disability or special need that requires accommodation, please let us know.

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology-and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent. As an NVIDIAN, you'll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. We are looking for a marketing professional with a technical background to join our product marketing team. In this role, you will help data scientists and data engineers realize the value of accelerated computing for data science, data analytics, and machine learning. You will develop and drive strategic marketing initiatives that grow the adoption of accelerated data processing using NVIDIA's key software and hardware platforms. Are you familiar with the data science and database ecosystem, its personas and their workflows? Are you aware of key use cases, segments, and common algorithms used across targeted industries, such as financial services, retail, manufacturing, and scientific computing? If so, this role may be right for you! What you'll be doing: Lead positioning, messaging and launches for key data science and processing products Develop technical content such as blogs, videos, and presentations to help data scientists embrace NVIDIA's SDKs Support go-to-market for NVIDIA hardware platforms for data processing as part of cross-functional team Conduct competitive and ecosystem analysis to develop positioning and focus promotion Engage with the data science community directly and present key technologies at events Derive insights from customer adoption trends and share with internal teams What we need to see: 8+ years' experience with launching, go-to-market and scaling technical product adoption for data scientists or developers. Bachelors degree in a scientific or technical field (or equivalent experience). Knowledge of data science packages and machine learning frameworks. You love and thrive in a cross-functional organization, by collaborating with peers across teams and functions. Excellent written and spoken communication skills. Experience presenting at meetings, conferences, and webinars. Strong grasp of content marketing and social media methodologies. Comfortable reviewing Python code used in presentations, demos, and articles. Ways to stand out from the crowd: Clearly communicate your understanding of NVIDIA's strategy and technology. Measurable impact (metrics, awards, key accomplishments) you can share. Growing portfolio of blogs and social posts with links to your relevant work, including technical writing, social media presence, videos, and research papers. With highly competitive salaries and a comprehensive benefits package, NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most hard-working and dedicated people in the world working for us and, due to outstanding growth, our special engineering teams are growing fast. If you're a creative and autonomous engineer with a genuine passion for technology, we want to hear from you. #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 230,000 USD for Level 4, and 184,000 USD - 287,500 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until January 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What you'll need to succeed as Lead Scientist, Data Science at XPO Minimum qualifications: Bachelor's degree or equivalent related work or military experience 4 years of experience in data science, operations research, or data analysis with a focus on AI-driven analytics, statistical modeling, machine learning, forecasting, or optimization Experience in at least one programming language such as Python, R, SQL, SAS, Spark, Java, etc., with practical applications in AI or ML projects Familiarity with AI techniques and machine learning algorithms, including supervised and unsupervised learning Strong communication skills with a knack for translating complex AI concepts into clear business insights Preferred qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, or any related quantitative discipline A Master's or PhD in Computer Science, AI, Data Science, or a related quantitative field years of hands-on experience in developing and deploying optimization solutions 5+ years' experience in pricing optimization, demand forecasting, utilizing statistical modeling, machine learning, and reinforcement learning techniques. Experience with causal inference and measurement methods for analyzing the impact of pricing algorithms on revenue Experience with reinforcement learning for pricing optimization, decision-making, and consumer behavior modeling Proven track record of delivering AI-enabled insights that improved operations, financial performance, or customer experience Strong foundation in statistics including hypothesis testing, anomaly detection, and statistical inference, as applied in AI model validation Hands-on experience building and deploying AI models, including supervised, unsupervised, and deep learning methods About the Lead Scientist, Data Science job Pay, benefits and more: Competitive compensation package Full health insurance benefits available on day one Life and disability insurance Earn up to 15 days of PTO over your first year 9 paid company holidays 401(k) option with company match Education assistance Opportunity to participate in a company incentive plan What you'll do on a typical day: Leverage Machine Learning, AI, statistical and/or optimization methods to solve various problems in Pricing, Sales, and Finance in order to optimize revenue for the company Work with a team of data scientists and engineers to design, test and implement models into in-house software solutions You will be a thought leader for the practice of Data Science and Analytics across the organization Explore and research cutting-edge Artificial Intelligence techniques and statistical methods, to identify opportunities to drive process improvements through analytics and automation Conduct and present ad-hoc analyses to senior leaders within the business and technology organizations Communicate with technical and business-oriented audiences Serve as a subject matter expert in applying AI techniques to logistics and transportation challenges Leverage advanced data science methods, including machine learning, deep learning, and optimization, to enhance business performance Perform analytics ranging from predictive to prescriptive and cognitive, aligning with AI maturity levels based on project needs Combine technical skills in AI and data science with strong business acumen to deliver real-world impact at XPO Employees are paid within a salary range based on their experience, skill set, and market. Colorado annual salary range: $118,190 to $147,737 New York annual salary range: $129,446 to $161,807 California annual salary range: $129,446 to $161,807 Washington State annual salary range: $123,818 to $154,772 Maryland annual salary range: $123,818 to $154,772 Minnesota annual salary range: $112,562 to $140,702 Illinois annual salary range: $118,190 to $147,737 New Jersey annual salary range: $129,446 to $161,807 Vermont annual salary range: $112,562 to $140,702 Massachusetts annual salary range: $123,818 to $154,772 Columbus, Ohio annual salary range: $112,562 to $140,702 Actual compensation may vary due to factors such as experience and skill set (e.g., if an applicant far exceeds the minimum and preferred qualifications for the role). About XPO XPO is a top ten global provider of transportation services, with a highly integrated network of people, technology and physical assets. At XPO, we look for employees who like a challenge and can communicate effectively in all situations. We want to leverage your skills and years of experience to drive positive results while ensuring a bright future for yourself and XPO. If you're looking for a growth opportunity, join us at XPO. We are proud to be an Equal Opportunity employer. Qualified applicants will receive consideration for employment without regard to race, sex, disability, veteran or other protected status. All applicants who receive a conditional offer of employment may be required to take and pass a pre-employment drug test. The above statements are not an exhaustive list of all required responsibilities, duties and skills for this job classification. Review XPO's candidate privacy statement here. Nearest Major Market: Dallas Nearest Secondary Market: Fort Worth Job Segment: Testing, Computer Science, Database, Scientific, Data Analyst, Technology, Engineering, Data Apply now "

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.