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At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, 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: Johnson and Johnson Innovative Medicine (J&J IM), a pharmaceutical company of Johnson & Johnson is recruiting for a Senior Director, Head of Hematology R&D Data Science & Digital Health. This position has a primary location of Spring House, PA but is also open to Cambridge, MA; Titusville; NJ, Raritan, NJ; or New Brunswick, NJ. The position requires 25% travel. 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 This role will direct and lead efforts to deliver innovative end-to-end Data Science & Digital Solutions to the Oncology Hematology portfolio. This will include both early and late stage pipeline assets. This person will lead a team aimed at supporting the Clinical Development Teams (CDTs) with the full spectrum of Data Science capabilities, such as novel endpoints, real-world evidence, and digital diagnostics using AI/ML and other appropriate methods. This role will lead clinical-stage therapies such as Darzalex, Tecvayli and Talvey. Additional responsibilities include capability and talent development, resource management and deployment, and supporting an organizational culture that promotes data-driven decision-making across all functions of Johnson & Johnson Innovative Medicine- R&D Oncology. You will be a thought leader within Janssen R&D in the field of applied use of innovative methodologies in clinical trials. The Applicant will: Be responsible for leading a team of Data Scientists who partner with cross functional Compound Development Teams for clinical-stage hematologic cancers in building and implementing Data Science plans to support clinical/research objectives throughout the trial lifecycle. Data Science applications will include Real-World Evidence, cell profiling, clinical phenotyping, computer vision/medical imaging that leverage technologies such as statistical methodologies, AI/Machine learning techniques (e.g. Generative AI). Actively manage a team to communicate Data Science plans for Compound Development Teams. This will include seeking and managing feedback with internal and external stakeholders and developing fit-for-purpose studies serving CDT objectives. Develop data, analytic and reporting requirements for Data Science-related projects for the CDTs. This will include both regulatory-grade and observational research. Identify and procure data sets and technologies for bespoke applications. Manage external partnerships. Work with clinical and internal Data Science teams and external partners to execute analytics and report results. The candidate will be responsible for liaising with external partners including regulatory agencies. The candidate will be responsible for communicating and interpreting scientific results, as well as projecting implications of Data Science research. Qualifications: Advance degree in Health Science (Ph.D or MD) or Masters Degree, Pharm D with equivalent work experience with data analysis, interpretation and experimental design. A background in one or more of the following areas is beneficial: clinical oncology, computational research, pharmaco-epidemiology, statistics, outcomes research or related field in health care area. 8+ years of health-care related research, such as disease/clinical phenotyping, outcomes research, clinical genomics Strong working knowledge of drug development, with established expertise with one or more components of drug development, such as translational research, clinical studies, or regulatory interactions. Familiarity with healthcare relevant datasets, such as EHR/RWD, genomics, insurance claims Capacity to manage timelines and drive key deliverables in a matrix environment. Established leadership skills, including management of individuals and teams working towards common clinical/scientific goals Prior experience working and driving external partnerships, either corporate or academic Ability to effectively communicate technical work to a wide audience. Team leadership either preferably as a line function leader or in some cases leader in a matrix environment Preferred: Experience with digital heath outcome solutions for Oncology therapies. Prior experience serving on multifunctional teams delivering clinical trials in an R&D or Medical Affairs setting. Proficiency with regulatory submissions and interaction. Experience with novel, innovative approaches to drug development, such as Generative AI.s 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:

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it's at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Our team builds and manages the AWS infrastructure that supports Model (ML) development across the company. Our platforms run on Kubernetes and leverage AWS tooling to provide highly scalable and dynamic platform features used by data scientists daily. You will directly drive the results for the team and own components of the platform from design through deployment. Our Impact: Our platforms are used across all business lines for Data Science development and deployment work as well as data exploration. This team is highly visible and works directly with emerging AI and ML technologies. Your Impact: You will design, develop and own product solutions from start to finish. On a day-to-day basis you will interact with data scientists to identify issues and new product solutions. You will continually be researching and testing new AI/ML tools and procedures to offer to offer to the wider company. Qualifications: Bachelor's degree in Computer Science, Engineering (any field), Information Technology Management, or related discipline; or equivalent experience; advanced studies/degree preferred. 5 years of hands-on experience managing AWS infrastructure through console and Infrastructure as Code (IaC); Hands-on experience with AWS SageMaker and MLOps; 5 years of experience working python coding; 5 years of experience deploying application solutions; 3 years of experience with code repository GIT and Bitbucket; and, Demonstrated knowledge of infrastructure design principles. Keys to Success in this Role: Demonstrate a strong desire to learn new technologies and tools in the AI/ML space Quickly identify solutions to issues raised by Data Scientists Have a strong understanding of the varies AWS components needed to run AI/ML infrastructure Ability to help junior team members grow their knowledge and abilities Current Freddie Mac employees please apply through the internal career site. We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. A safe and secure environment is critical to Freddie Mac's business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs. CA Applicants: Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC. Time-type:Full time FLSA Status:Exempt Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site. This position has an annualized market-based salary range of $127,000 - $191,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.

Role As a Data Science Manager at SmarterDx, you will lead a team of data scientists and play a critical role in scaling our Clinical AI Platform through strategic vision and operational excellence. You will be responsible for creating and executing a comprehensive data science strategy that identifies and prioritizes core modeling components across multiple product lines, while fostering a culture of innovation and technical excellence. Your leadership will drive the translation of business objectives into impactful machine learning solutions, ensuring our models deliver measurable value to healthcare organizations. This is a high-leverage role ideal for a technical leader who excels at building teams, removing obstacles, and driving cross-functional alignment in a fast-paced environment. This role is fully remote within the US What You'll Do Develop and execute a comprehensive data science strategy that identifies and prioritizes core modeling components across multiple product lines Lead, mentor, and grow a team of 5-8 data scientists, providing technical guidance and career development support Partner with Product and Engineering teams to translate business objectives into data science roadmaps and priorities Proactively identify and remove blockers that impede team productivity and project success Recruit top-tier data science talent and foster a collaborative culture of experimentation and learning Guide architectural decisions for shared modeling infrastructure and tooling that supports the entire platform Establish data science best practices, standards, and methodologies that accelerate experimentation and deployment Drive cross-functional collaboration to ensure seamless integration of ML models into product workflows Implement metrics and KPIs to measure team performance and model impact on business outcomes What You Bring 2+ years managing data scientists or a similar role 8+ years of hands-on experience in data science, machine learning, or related fields with strong technical foundations Experience in healthcare, medical data, or revenue cycle management with understanding of clinical workflows Strong proficiency in Python, SQL, and ML frameworks such as PyTorch or scikit-learn Proven track record of scaling teams and establishing processes in high-growth environments Experience with cloud platforms (AWS, GCP, or Azure) and MLOps best practices for production deployment Exceptional communication skills with ability to influence and drive alignment across cross-functional teams Experience leading strategic initiatives that span multiple product areas with measurable business impact Deep understanding of machine learning lifecycle from experimentation to production deployment Track record of building strong relationships with Product and Engineering leadership on strategic planning Nice To Haves Knowledge of explainable AI techniques and model interpretability best practices Experience developing products leveraging Large Language Models (LLMs) Background in revenue cycle management or hospital operations Previous experience working in a startup or high-growth environment Publications or contributions to the broader data science or healthcare AI community Experience managing remote or distributed data science teams Our stack Python SQL PyTorch Snowflake AWS Compensation $220,000 - $250,000 + equity here #LI-Remote

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we strive to build an environment where our associates are in the driver's seat of their professional development, while having access to help along the way. We encourage everyone to pursue passions and take ownership of their careers. With the support of colleagues and mentors, our associates are given the tools needed to get where they want to go. Regardless of job titles, our associates have the opportunity to learn new things and be a leader every day. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. This role will act as a key leader of the Global Data Science & Analytics (GD&A) Product Development team. This role requires data science expertise and resources necessary to build market-leading data products and analytic solutions in support of TransUnion's Fraud roadmap. Maintains a strong vision of the state-of-the-art and competitive landscape, advising on the best way (the "how") to achieve objectives defined by Global Solutions stakeholders (the "what"). Incorporates innovation arising across GD&A and the broader enterprise into standards that enable consistent, high-quality, scaled development. This role will partner and collaborate with stakeholders across Global Technology, Data & Analytics (GTDA) and Solutions. What You'll Bring: 10+ years in data science and analytics 5+ years in progressively more challenging team management and leadership roles Master's or PhD degree in statistics, applied mathematics, quantitative economics/finance, engineering, operations research, physical sciences, computer science or another highly quantitative field strongly preferred. Technical Skills: Advanced programming skills and aptitude; mastery of statistical programs such as Python or R; mastery of other programming and data manipulation languages and big data platforms (SQL, Spark, C/C++, Java); experience with modern cloud computing platforms (AWS, GCP, OneTru); high level of familiarity with Microsoft Office tools; Deep, hands-on expertise applying AI (ML, agentic, LLMs), statistical inference, and predictive modeling methods in a commercial setting including real-time modeling, adversarial modeling, financial crimes, and anomaly detection. Functional Skills: Evidence of strong analytical, critical, and creative thinking and willingness to take initiative in problem-solving. Demonstrated interest and proven career path in industries served by TransUnion, such as financial services, insurance, fraud, and digital marketing. Ability to lead complex analytic projects under limited supervision and in close coordination with matrix partners. Strong project and time management skills to lead multiple complex portfolios and work streams simultaneously with minimal if any direct supervision in a collaborative and fast-paced environment. This may require the need to make impactful project decisions and recommendations, taking ownership for actions and providing a robust framework for justifying, defending, and documenting such actions across multiple stakeholder levels. Additionally, the role may require the management of multiple resources within a project and the effective coordination of tasks across resources using clear workflows. Behavioral Competencies: Excellent business acumen and versatile interpersonal skills to communicate effectively at multiple levels - including executives - within a complex and dynamic matrix organization. Knows the organization and can flexibility adapt to changes in business objectives or organizational structure. Strong verbal and written communication skills. Proven ability to translate technical concepts into articulate, actionable recommendations in a manner that is suitable to influence business partners and decision-makers inside and outside towards desired outcomes. A champion of change, able to influence others to adopt new concepts and practices. Impact You'll Make: Proactively analyze alternative data assets and AI methods for potential impacts to new and existing products, drafting business cases for Solutions review as warranted Develop generalized, off-the-shelf scores, attributes, and other analytic solutions with alignment to the Fraud roadmap, supporting all stages of the product development lifecycle (PDLC) that are applicable to a variety of business processes, industries, and regions. Use cases include identity fraud, digital fraud, and other analytic disciplines includes modeling, simulation, and optimization. Design, develop, and continually improve common global frameworks to accelerate product development and facilitate consistent, efficient delivery through OneTru and other TransUnion platforms Maintain and continually enhance global best practices for model development, including development and delivery of a training curriculum, leveraging new capabilities developed by R&D As a member of the multiple, cross-organizational working groups and projects, advocate for innovative solution designs and approaches to enhance TransUnion's long-term competitiveness Maintain complete and accurate records of department activities to support resource optimization and all levels of reporting Attract and nurture leading data science talent, creating opportunities for continual professional growth #LI-KJ1 Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $166,800.00 - $250,000.00 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics Company: TransUnion LLC

About the team/role We are seeking a seasoned and strategic leader to build and guide our Finance Data Science team. In this role, you will be responsible for establishing the vision and roadmap for how data science drives Checkr's financial strategy, profitability, and operational excellence. You will lead and mentor a talented team of data scientists and analysts, empowering them to deliver the critical quantitative insights that underpin our most important financial decisions. The Finance DS team owns the quantitative backbone of Checkr's business, including: revenue forecasting; revenue and cost data models; the source of truth for key business metrics (e.g., upsell, churn); and analytical / automation support for planning, pricing, packaging, and strategic finance initiatives. As the Senior Manager of Data Science, Finance, you will be a key partner to our executive and C-level leadership team. You will translate ambiguous, high-level business challenges into a clear, quantitative agenda and be accountable for the models, analyses, and insights that shape our company's financial future. This role reports into our central Data & ML team within the Engineering organization, ensuring a strong technical foundation and career path, while being dedicated to the Finance domain. What you'll do Team Leadership & Development: Hire, mentor, and grow a high-performing team of data scientists and analysts. Foster a culture of technical excellence, business impact, and continuous learning. Strategic Planning & Vision: Define and own the roadmap for the Finance Data Science team. Partner with C-level and VP-level stakeholders to identify and prioritize the most impactful analytical and modeling opportunities. Executive Stakeholder Management: Serve as the primary data science partner to the Finance leadership team. Translate complex quantitative concepts into clear, actionable recommendations for a senior executive audience. Oversee Financial Modeling & Forecasting: Guide the team in developing and deploying models to forecast revenue, costs, and key business metrics, directly influencing the company's financial planning (FP&A) and strategy. Drive Business Performance & Insights: Lead deep-dive analyses into business trends, unit economics, pricing, and new ventures to uncover opportunities for growth and efficiency. Technical Excellence: Set (and then raise) the bar for technical rigor, ensuring the team's work in modeling, analysis, and data pipelines is robust, scalable, and production-ready. What you bring A Bachelor's or Master's degree in a quantitative field like Statistics, Computer Science, Economics, or equivalent experience. 10+ years of experience in data science or quantitative roles, with a clear progression of impact and seniority. 3+ years of direct people management experience, with a proven ability to attract, hire, and develop high-performing data scientists and foster a culture of excellence. Deep expertise in SQL, Python, modern ELT and data transformation frameworks (e.g. dbt), key ML and forecasting techniques; with the ability to set technical direction, guide architectural decisions, and maintain a high bar for quality. Demonstrated ability to develop and execute a strategic vision and multi-quarter roadmap for a data science function, aligning it with broader business objectives. Exceptional stakeholder management and communication skills, with proven ability to influence and align with executive leaders (C-level, VPs) and translate complex quantitative work into clear business strategy. Strong business acumen, with deep experience applying data science to solve complex financial problems (e.g., forecasting, pricing, risk) in a B2B or SaaS environment. What you'll get A fast-paced and collaborative environment Learning and development allowance Competitive cash and equity compensation and opportunity for advancement 100% medical, dental, and vision coverage Up to $25K reimbursement for fertility, adoption, and parental planning services Flexible PTO policy Monthly wellness stipend, home office stipend

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 Early Careers 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 roles across the company. If you are selected for consideration for a particular position a member of MITRE's Early Careers recruiting team will reach out to you. You can monitor your application status here: Workday (myworkdayjobs.com). Job Description Data-driven, intelligent systems can bring immense computing power to bear, revealing insights across datasets too massive for humans to synthesize. We help our customers to build and enable those systems by creating trusted data engineering architectures, machine learning algorithms, and analytic techniques that put the power of big data at our users' fingertips while leverage deep expertise in human decision-making and collaboration to best pair humans and machines. As a recent graduate working in data science, operations research, math and statistics, you will work with a team to apply your knowledge and gain experience with one or more of the following: Data analysis and visualization Augmented decision making and trusted analytics AI architecture, strategy and policy AI-enhanced decision making and insights Generative AI and large language models Machine learning operations Applied math, statistics and optimization Simulation and computational analytics Systems modeling and analysis Operational effectiveness and efficiency Knowledge discovery Next-gen data environments Basic Qualification Must have a Bachelor's, Master's or PhD degree in Data Science, Artificial Intelligence, Math, Statistics or a related degree/program Knowledge of how retrieve data from databases and other systems and tools using queries, exporting capabilities, and other effective methods Understanding of or experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting Sustained excellence in academic performance Preferred Qualifications Experience having applied data science, artificial intelligence, math, statistics or a related learning to an internship or research/lab position. Experience retrieving data from databases and other systems and tools using queries, exporting capabilities, and other effective methods Experience with statistical software and data visualization tools such as R, SPSS, SAS, and UNIX shell scripting Proficiency in one or more of the following: Python (scikit-learn, NumPy, pandas, Jupyter), Scala/Java, C/C++/C#, Objective C; database design & development (SQL, Neo4J, MongoDB); AWS Demonstrated interest in serving the public 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: $77,500 - $97,000 - $116,500 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 1997-2025, 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.

Clio is more than just a tech company-we are a global leader that is transforming the legal experience for all by bettering the lives of legal professionals while increasing access to justice. Summary: Imagine being the Director, Data Science at Clio, the legal software company that is on a mission to revolutionize the legal experience for everyone. Reporting to Senior Director, Head of Data & Analytics, you will be responsible to build predictive and prescriptive solutions to enhance Clio's operations in marketing, sales, post-sales, and product development. In this role, you will partner with senior business leaders across go-to-market and product teams to identify opportunities for predictive and prescriptive data-driven solutions. You will lead development of advanced analytics and machine learning solutions for revenue forecasting, churn and cross-sell propensity modeling, pricing optimization, sentiment analysis, to name a few, and establish best practices for building modular reusable assets, to enable timely, robust, and rigorous analyses. You will mentor data science teams and collaborate with cross-functional stakeholders to deploy these solutions in practice and achieve the business impact. Your mission is to build the centre of excellence for data science, and to partner with senior leaders across Clio to make reliable, timely, and effective data-driven decisions! What you'll work on: Define and implement Clio's data science strategy that aligns with Clio's business objectives, including revenue growth, customer retention, and operational efficiency Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+) Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting About you: Graduate degree in Computer Science, Engineering, Statistics or a related field. 10+ years extensive experience building and scaling a data science function in a high-growth environment 10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports 15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning Experience reporting and presenting to senior business stakeholders Experience leading go-to-market initiatives and partnering with product development teams Experience with putting data science solutions in production and maintaining them Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences Growth mindset when it comes to process improvement and new technologies, especially AI Bonus points for: High level of business acumen obtained through professional experience or certification MBA, CFA, PMM Experience in SaaS or legal industry Experience with unstructured data and graph data structures What you will find here: Compensation is one of the main components of Clio's Total Rewards Program. We have developed a series of programs and processes to ensure we are creating fair and competitive pay practices that form the foundation of our human and high-performing culture. Some highlights of our Total Rewards program include: Competitive, equitable salary with top-tier health benefits, dental, and vision insurance Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, and Dublin) to be in office minimum 2 days per week on our Anchor Days. Flexible time off policy, with an encouraged 20 days off per year. EAP benefits for you and household members, including counseling and online resources 401k matching and Child Education Savings Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years The full salary range* for this role is $240,700 to $300,800 to $360,900 USD. Please note salary bands may differ based on location and local currency. Additionally, benefit offerings may differ depending on the employee's location. In addition, this role is eligible for variable pay that is based on company performance, with actual payout amounts calculated and paid on a quarterly basis. We aim to hire all candidates between the minimum and the midpoint of the full salary range. We reserve the midpoint to the maximum of the salary band for internal employees who demonstrate sustained high performance and impact at Clio. The final offer amount for this role will be dependent on individual experience and skillset of the candidate. Diversity, Inclusion, Belonging and Equity (DIBE) & Accessibility Our team shows up as their authentic selves, and are united by our mission. We are dedicated to diversity, equity and inclusion. We pride ourselves in building and fostering an environment where our teams feel included, valued, and enabled to do the best work of their careers, wherever they choose to log in from. We believe that different perspectives, skills, backgrounds, and experiences result in higher-performing teams and better innovation. We are committed to equal employment and we encourage candidates from all backgrounds to apply. Clio provides accessibility accommodations during the recruitment process. Should you require any accommodation, please let us know and we will work with you to meet your needs. Learn more about our culture at clio.com/careers Disclaimer: We only communicate with candidates through official @clio.com email addresses.

Headway's mission is a big one - to build a new mental health care system everyone can access. We've built technology that helps people find great therapists with the first software-enabled national network of providers accepting insurance. 1 in 4 people in the US have a treatable mental health condition, but the majority of providers don't accept insurance, making therapy too expensive for most people. Headway is building a new mental healthcare system that everyone can access by making it easy for therapists to accept insurance and scale their practice. Headway was founded in 2019. Since then, we've grown into a diverse, national network of over 60,000 mental healthcare providers across all 50 states who run their practice on our software and have served over 1 million patients. We're a Series D company with over $325m in funding from a16z (Andreessen Horowitz), Accel, GV (formerly Google Ventures), Spark Capital, Thrive Capital, Forerunner Ventures and Health Care Service Corporation. We want your time here to be the most meaningful experience of your career. Join us, and help change mental healthcare for the better. About the Role We're looking for a Senior Data Science Manager to lead insights and data science across Headway's Payer Group which is a key pillar that works with our health insurance partners. In this role, you will lead the data science strategy for our Payer Group to unlock insights that improve outcomes for our patients and build and maintain trust with our Payer partners. You will own end-to-end roadmap planning with Payer leadership at Headway to set the vision and create targets for different teams. Your work will help execute this vision through data modeling, product analytics, strategic analysis, causal inference and experimentation As the data leader for Payer, you'll build relationships with many stakeholders from Product, Network Quality, Engineering, Operations, Marketing, and Clinical. This is a unique opportunity to bring analytical strategy, scientific depth, and human-centered insight to a mission that truly matters - expanding access to effective, personalized mental healthcare. What You'll Do Lead and grow a team of data scientists supporting multiple pods for Payer including operational and product groups Develop quarterly roadmaps for the Payer Group, align Data Science resources, and oversee execution of Data Science work Drive deep analytical insight through strategic analysis, dashboarding, causal inference, and experimentation Provide domain leadership and perspectives to strengthen our Payer Group Tackle projects yourself on strategic analysis to strengthen our vision and resolve for key initiatives Develop and drive the vision for Payer Data including our data modeling, standards for analysis and experimentation, and weighing trade-offs for roadmaps Translate complex insights into clear, data-driven recommendations Influence senior leadership strategy by representing the data perspective for the entire Payer team What We're Looking For 6+ years of experience in data science, analytics, or growth analytics roles 4+ years of experience working with healthcare data 3+ years in people management Experience partnering with stakeholders across product, marketing, engineering, operations Experience working on patient health outcomes, enhancing care delivery for providers, and/or working within a health insurance landscape Proven track record leading teams that span BI, product analytics, and applied data science. Strong background in experimentation; able to both set strategy and coach others. Hands-on technical fluency in SQL and Python/R, with experience working with modern data stacks (e.g., Snowflake, dbt, Looker). Strong communication and stakeholder management skills - able to "translate" technical insights into business impact. Why This Role is Exciting You'll shape analytics for the the entire Payer Group at Headway You'll build the bridge between BI, experimentation, and applied DS, ensuring the org moves with both rigor and speed You'll have high visibility with senior leadership and a chance to directly influence strategy and growth. Compensation & Benefits: The expected base pay range for this position is $215,900 - $254,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for performance-based variable compensation and an equity grant, depending on the position and level. We are committed to offering a comprehensive and competitive total rewards package, including robust health and wellness benefits, retirement savings, and meaningful ownership opportunities through equity. Compensation decisions are made holistically, ensuring fairness and alignment with market benchmarks while recognizing individual contributions and potential. Benefits offered include: Equity compensation Medical, Dental, and Vision coverage HSA / FSA 401K Work-from-Home Stipend Therapy Reimbursement 16-week parental leave for eligible employees Carrot Fertility annual reimbursement and membership 13 paid holidays each year as well as a Holiday Break during the week between December 25th and December 31st Flexible PTO Employee Assistance Program (EAP) Training and professional development We believe a team's strength is in its people, and we cannot achieve this mission without a team that reflects the diversity of this problem - across race, ethnicity, gender, sexuality, age, national origin, religion, family status, disability, military status, and experience. Headway is committed to the full inclusion of all qualified individuals. As part of this commitment, Headway will ensure that persons with disabilities are provided with reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or receive other benefits and privileges of employment, please inform the recruiter when they contact you to schedule your interview. Headway participates in E-Verify. To learn more, click here.

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. Lyft's Data Science Team builds mathematical models underpinning the platform's core services. Compared to other technology companies of a similar size, the set of problems that we tackle is incredibly diverse. They cut across optimization, prediction, modeling, inference, transportation, and mapping. We're looking for Masters or PhD students who are passionate about solving mathematical problems with data and are excited about working in a fast-paced, innovative and collegial environment. We are hiring for a variety of Data Science interns, focusing on the following specialties: Optimization: Construct and fit statistical or optimization models that facilitate automated decision making in the app. Machine Learning: Design, build, tune, and deploy machine learning models with a special emphasis on feature engineering and deployment. Inference: Design and analyze tests in our dynamic marketplace, estimating statistical and ML models to enable better decisions, and developing and evaluating algorithmic policies in our pricing, dispatch, and incentives systems. You will report into a Science Manager. Responsibilities: Partner with Engineers, Product Managers, and other cross-functional partners to frame problems, both mathematically and within the business context Perform exploratory data analysis to gain a deeper understanding of the problem Write production modeling code; collaborate with software engineers to implement algorithms in production Design and run both simulated and live traffic experiments Analyze experimental and observational data; communicate findings including working with partner teams and presentations; facilitate launch decisions Experience: Currently pursuing a Masters or PhD degree in mathematical sciences (Operations Research, Computer Science, Statistics, Applied Mathematics, Theoretical Physics, Behavioral Science, Electrical Engineering, etc.), Economics (Microeconomics Theory, Econometrics etc.), Data Engineering; or a related field; with a graduation date between December 2026 and June 2027 (required) Available during Summer 2026 for an internship in New York City Experience coding in Python (required) or SQL, R; standard data science libraries (NumPy, Scikit-learn, PyTorch, TensorFlow, Keras); and ML Tools & Libraries (NumPy, SpaCy, NLTK, Scikit-learn, TensorFlow, Keras) Experimental design and analysis Exploratory data analysis Expertise in one of these specialties: optimization and mathematical modeling, machine learning fundamentals, or probabilistic and statistical modeling Bonus points: Experience in marketplace design, ridesharing, studying two-sided marketplaces, and/or transportation Benefits: Great medical, dental, and vision insurance options Mental health benefits In addition to holidays, interns receive 2 days paid time off and 3 days sick time off 401(k) plan to help save for your future Pre-tax commuter benefits Lyft Pink- Lyft team members get an exclusive opportunity to test new benefits of our Ridership Program Lyft is an equal opportunity employer committed to an inclusive workplace that fosters belonging. All qualified applicants will receive consideration for employment without regards to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, age, genetic information, or any other basis prohibited by law. We also consider qualified applicants with criminal histories consistent with applicable federal, state and local law. Lyft highly values having employees working in-office to foster a collaborative work environment and company culture. This role will be in-office on a hybrid schedule- Team Members will be expected to work in the office 3 days per week on Mondays, Wednesdays, and Thursdays. Lyft considers working in the office at least 3 days per week to be an essential function of this hybrid role. Your recruiter can share more information about the various in-office perks Lyft offers. #Hybrid The expected base pay range for this position in the New York City area is $58-$62/hour USD. Salary ranges are dependent on a variety of factors, including qualifications, experience and geographic location. Range is not inclusive of potential equity offering, bonus or benefits. Your recruiter can share more information about the salary range specific to your working location and other factors during the hiring process.

Discord gives people the power to find belonging. Our Core Product teams build the features hundreds of millions of people use to talk, play, and hang out together. We are looking for a Senior Data Science Manager to lead analytics for Core Product, partnering closely with Product, Engineering, Design, and go-to-market teams to shape strategy, ship great experiences, and measure impact. Why this role matters Scale of impact: Your work will influence decisions that touch hundreds of millions of users worldwide. Team leadership: You will grow and mentor a high-performing team of Analytics Data Scientists and raise the bar for data at Discord. You will serve as one of the leads for the cross-functional Core Product org. What you'll do Lead, mentor, and grow a mission‑driven team of Analytics Data Scientists. Create a culture of excellence, curiosity, and impact. Own the analytics vision and roadmap for Core Product, aligning with company strategy and product goals. Partner with PM, Eng, and Design to create strategies, identify opportunities, shape hypotheses, and prioritize the highest‑leverage work. Define clear, interpretable metrics that reflect user value and product health. Establish guardrails and diagnostic views. Design rigorous experimentation and quasi‑experimental approaches. Set standards for test design, power, and interpretation. Drive strategic analyses that inform product bets, roadmap tradeoffs, and long‑term strategy. Build scalable, self‑serve tools, dashboards, and data models that enable decision‑making at all levels. Improve operating cadence: lightweight processes, crisp prioritization, and clear decision records. Contribute to data org best practices across architecture, governance, documentation, and knowledge sharing. What we're looking for 3+ years managing and developing data science or analytics teams, including managing managers or leading teams of 5+. 6+ years of industry experience applying analytics to ambiguous product and business problems. Expertise in product analytics, experimentation/A‑B testing, and product strategy. Strong communication skills. Able to translate complex analyses into clear narratives for technical and non‑technical audiences. Proficiency in SQL and competence with Python or R for hands‑on analysis when needed. Fluency with A/B testing principles and common pitfalls. Comfortable with metric design and interpretation. Working knowledge of modern BI tools such as Looker or Tableau. Strong eye for compelling, performant data visualization. Collaborative, low‑ego, and user‑obsessed. Bias to action and learning. Nice to have Experience with large‑scale consumer or social products. Familiarity with BigQuery and distributed data processing. Experience applying causal inference or ML to guide product decisions at scale. Close collaboration with cross‑functional partners in a data‑driven culture. Passion for Discord and online communities. If helping make Discord the best place to hang out with friends and communities excites you, we'd love to talk! Candidates must reside in or be willing to relocate to the San Francisco Bay Area (Alameda, Contra Costa, Marin, Napa, San Francisco, San Mateo, Santa Clara, Solano, and Sonoma counties). Relocation assistance may be available. The US base salary range for this full-time position is $304,000 to $342,000 + equity + benefits. Our salary ranges are determined by role and level. Within the range, individual pay is determined by additional factors, including job-related skills, experience, and relevant education or training. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include equity, or benefits.

You desire impactful work. You're RGA ready RGA is a purpose-driven organization working to solve today's challenges through innovation and collaboration. A Fortune 200 Company and listed among its World's Most Admired Companies, we're the only global reinsurance company to focus primarily on life- and health-related solutions. Join our multinational team of intelligent, motivated, and collaborative people, and help us make financial protection accessible to all. Overview The Associate Data Science Actuary, Biometric Assumptions is a qualified actuary with data science capabilities. The Biometric Assumptions Team provides analytical expertise for the global development of data-driven solutions in longevity product development and pricing. This role involves combining technical skills and predictive modelling to contribute to innovative model solutions and collaborates on project-teams consisting of data scientists, actuaries, IT, and business developers. The Associate Data Science Actuary will focus on internal mortality assumption development for longevity markets by leveraging new and existing data sources through exploratory analysis, insights, model maintenance, and model R&D. Location: HYBRID at RGA HQs in St.Louis, MO or OPEN TO REMOTE Responsibilities Lead, design, create, and interpret end-to-end models with a typical focus on mortality within longevity markets. Support Pricing team with insights from large datasets and support efforts to adopt robust bespoke assumptions in quotes. Evaluate new external data sources and explore new applications of non-traditional data sources for RGA in its various regions. Participate in the development and enhancement of underlying processes and recommends improvements in data analysis /modeling best practice standards Communicate with a variety of stakeholders at various levels of seniority Offer risk management skills to any data processing or modeling exercise: Understand business context & where material scope for error lies Adhere to professional standards, best practices, and ethical guidelines Understand the strengths and limitations of a modeling approach Have a strong understanding on tools / techniques their actuarial peers will not have had a formal education in Understand applications, risks, transparency, quality assurance & peer review, and ethical guidelines Stay abreast of new techniques, but focusing on practical applications Liaise with RGA's data scientists across the globe about more sophisticated data science applications Contribute to RGA's global analytics community, routinely sharing, maintaining consistency of approach Requirements Bachelor's degree in Math, Finance, Economics, Statistics, Actuarial Science, Computer Science or related field FSA accreditation or equivalent Minimum of 6 or more years of actuarial experience in life insurance/reinsurance/pension risk transfer 2+ years statistical on-the-job modeling experience (not exam based) for insurance or related applications (Regression, Decision Trees, Time Series, etc.) Statistical programs/languages (R or Python) Spreadsheet skills (Excel/VBA) and database applications (SQL, Snowflake, Oracle,...) Advanced predictive modeling skills Tree-based models, GLMs, GAMs, etc. Cross-Validation, Residuals and model diagnostics Basic Statistical concepts for feature engineering (e.g. percentiles, standardization, correlations, risk ratios / chi-square test, splines, and other non-linear transformations) Proactive use of insurance expertise & actuarial concepts to feature engineering and model evaluation Advanced exploratory data analysis skills - Plots and graphics (BI/ggplot) Ability to compile, analyze, refine, model and interpret very large data sets as well as the ability to incorporate expert judgment into statistical modeling techniques Transform data to enhance its predictive value (feature engineering) Advanced ability to translate business needs and problems into viable/accepted solutions Advanced investigative, analytical, and problem-solving skills Preferred Experience with longevity product design / pricing / experience studies / assumption development Reinsurance industry experience Master's degree or PhD in Statistics, Actuarial Science, Economics, or related field 4+ years of experience with statistical modeling for insurance Familiar with actuarial modeling platforms (AXIS, Prophet, Exp Studies etc.) Basic data engineering capabilities (Python, Scala) Basic machine learning models/concepts (SVM's, GAN's, Neural Networks/Deep Learning, Naive Bayes, NLP) and/or basic statistical concepts for feature engineering for dimensionality reduction such as PCA's, SVD's, and clustering #LI-DL1 #LI-HYBRID Compensation Range: $114,750.00 - $175,450.00 Annual Base Salary What you can expect from RGA: Gain valuable knowledge from and experience with diverse, caring colleagues around the world. Enjoy a respectful, welcoming environment that fosters individuality and encourages pioneering thought. Join the bright and creative minds of RGA, and experience vast, endless career potential. Compensation Range: Base pay varies depending on job-related knowledge, skills, experience and market location. In addition, RGA provides an annual bonus plan that includes all roles and some positions are eligible for participation in our long-term equity incentive plan. RGA also maintains a full range of health, retirement, and other employee benefits. RGA is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, age, gender identity or expression, sex, disability, veteran status, religion, national origin, or any other characteristic protected by applicable equal employment opportunity laws.

At DraftKings, AI is becoming an integral part of both our present and future, powering how work gets done today, guiding smarter decisions, and sparking bold ideas. It's transforming how we enhance customer experiences, streamline operations, and unlock new possibilities. Our teams are energized by innovation and readily embrace emerging technology. We're not waiting for the future to arrive. We're shaping it, one bold step at a time. To those who see AI as a driver of progress, come build the future together. The Crown Is Yours As a Senior Lead Data Science Engineer, you will leverage your expertise in data science and analytics to drive impactful projects to create the most relevant product in the Sportsbook industry. Your work will be critical to deeply integrate our data science-powered understanding of the customer within our content engine and platforms. We provide a world-class, immersive experience for our users and are at the forefront of technological innovation in the industry. Our Sports Intelligence team plays a critical role in developing solutions that power our platform and drive our business forward. What You'll Do Develop and implement advanced statistical models and machine learning algorithms to analyze large datasets and extract meaningful insights. Collaborate with cross-functional teams, including product, engineering, and marketing, to understand business needs and translate them into data science solutions. Communicate complex analyses and insights to technical and non-technical stakeholders, influencing strategic decision-making. Ensure the quality and integrity of data used for analysis, and drive the development of data infrastructure and tools. Lead and mentor a team to innovate and experiment with new data-driven approaches to content generation and user engagement. What You'll Bring Master's degree or PhD in a relevant field such as Computer Science, Statistics, or Mathematics is preferred. Extensive experience in data science, machine learning, and statistical modeling, with a proven track record of leading successful projects. Proficiency in programming languages such as Python, and experience with data manipulation and visualization tools. Experience with personalization algorithms and techniques, and a strong understanding of their application in content delivery. Strong leadership skills with the ability to mentor and develop a high-performing team. Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders. Familiarity with user behavior analysis and its integration into content and product strategies. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 160,000.00 USD - 200,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. 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.

As an intern, you will join over 5,000 talented individuals who are leaders, critical thinkers, accountable, curious, flexible and results-minded all driving toward the same goal - to delight customers and drive sales through multiple channels. In addition, you will join a diverse group of individuals from a variety of colleges, universities and areas of study. Some highlights of our internship program include: Paid Internship: $25/hr Twelve-week program: May 18 - August 7, 2026 Full-time opportunity: 8am- 5pm CT Team building and networking activities Group projects and career-building workshops Leadership and cross-functional learning opportunities Assigned mentor focused on your growth and development Senior leader speaker series Lands' End merchandise discount Relocation assistance available Our internship program is designed with future leaders in mind and serves as a pipeline for top talent. The Intern experience at Lands' End is a comprehensive development-based role, designed to facilitate a robust data science career path. Interns will be focused on applying data science and generative AI to solve real-world data challenges. You will work on projects that enhance decision making, improve customer experiences, and drive operational efficiency using advanced analytics and emerging AI technologies. As part of the experience, you will be involved in key projects that will provide exposure to the following: Practical applications of Gen AI and machine learning in retail. How to work with cloud platforms (e.g., Azure, AWS, GCP) and tools like Python, SQL, and Spark. Exposure to retail data systems, customer analytics, and omnichannel strategies. Agile development practices and collaboration in a tech-driven business environment. This is a hybrid role with three weeks per month onsite (Mon- Thurs). The primary work location is our corporate campus in Dodgeville; WI and you will perform work both on-site and remotely each week. You must reside or relocate within a commutable distance of the office for this position. Don't worry, we have you covered, Lands' End offers competitive relocation assistance! A fully remote internship would be considered if necessary. Successful candidates should have the following knowledge, skills and abilities: Pursuing a Master's degree in Data Science, Computer Science, Statistics, or a related field. Strong foundation in Python, machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch), and data manipulation. Strong data analysis skills and able to communicate key insights Familiarity with Gen AI concepts and tools (e.g., OpenAI, Hugging Face, LangChain). Excellent problem-solving and communication skills. Curiosity and passion for applying AI to real-world business problems. Preferred Qualifications Experience with retail or eCommerce datasets. Exposure to cloud computing and MLOps practices. Knowledge of NLP techniques and LLM fine-tuning. Good understanding of causal inference. Understanding or experience working with click stream data (Adobe Analytics or Google Analytics) Roles and responsibilities: Collaborate with data scientists and engineers to develop models and tools using machine learning and generative AI. Analyze structured and unstructured data from various retail channels (eCommerce, stores, marketplaces). Build prototypes that leverage Gen AI for tasks such as demand forecasting, product categorization, customer insights, or content generation. Assist in evaluating and fine-tuning large language models (LLMs) for internal use cases. Support data pipeline development and ensure data quality and integrity. Present findings and recommendations to cross-functional stakeholders.

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: Raritan, New Jersey, 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: Johnson & Johnson Innovative Medicine is recruiting for Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Across Therapeutic Areas The primary location for this position is 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 dynamic Director to lead Real-World Evidence (RWE) initiatives across therapeutic areas (xTA) within the R&D Data Science & Digital Health organization. This role will be instrumental in advancing our enterprise-wide RWE capabilities, fostering cross-functional collaboration, and driving innovation in evidence generation. The successful candidate will partner closely with senior leaders across R&D and commercial to shape the RWE ecosystem, influence regulatory policy, and elevate J&J's scientific leadership internally and externally. This is a high-impact role for a strategic thinker and hands-on leader passionate about transforming healthcare through data-driven insights. Other Key Responsibilities include: Lead cross-TA RWE initiatives that support clinical development, regulatory submissions, and strategic decision-making. Partner with internal stakeholders and external collaborators to co-create integrated RWE strategies and solutions. Contribute to shaping regulatory policy and standards for RWE through scientific engagements. Develop and disseminate best practices for novel RWE design and methodologies. Provide scientific leadership and subject matter expertise in study design, analytics, and interpretation of evidence research. Support the development of internal capabilities and tools to accelerate evidence generation and delivery. Promote a culture of innovation, scientific rigor, and continuous learning across the RWE function. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 8+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 3+ 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: Experience in regulatory-grade evidence generation and regulatory engagement. Demonstrated ability to lead cross-functional initiatives and influence without authority. Subject matter expertise in one or more therapeutic areas. Experience working in matrixed, global organizations. 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: Advanced Analytics, Budget Management, Compliance Management, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Inclusive Leadership, Leadership, Program Management, Strategic Thinking, Succession Planning The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. § Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). § This position is eligible to participate in the Company's long-term incentive program. § Employees are eligible for the following time off benefits: - Vacation - up to 120 hours per calendar year- Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington - up to 56 hours per calendar year- Holiday pay, including Floating Holidays - up to 13 days per calendar year- Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

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: Scientific/Technology 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: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. 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 Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine . The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data ("RWD") methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Mentorship, Strategic Thinking, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $137,000 - $235,750 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.

Data Science Solutions Consultant Senior Location: Ideal candidates will be able to report to our Pulse Point location at 2505 N. Highway 360, Suite 300, Grand Prairie, TX 75050 This role requires associates to be in-office 3 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. Work Hours: Monday to Friday, 8:00 am to 5:00 pm The Data Science Solutions Consultant Senior will build end-to-end solution architecture for new business requirements and on-premises to cloud enablement. How You Will Make an Impact: Participate in all phases of design and development life cycle of analytic applications and reporting tools. Extract data loads from Teradata into Hadoop environment and create Hive tables. Perform data transformation and analysis of vast data stores to uncover insights. Build distributed, reliable, and scalable data pipelines to ingest and process data in real time. Perform coding and use job scheduling tools to schedule and monitor jobs. Mentor and guide the team by aligning them with overall product goals. Minimum Requirements: Bachelor's degree in Computer Science or a related field. Three (3) years of experience working in related occupation(s). Three (3) years of experience must include three (3) years in all of the following: Building end-to-end solution architecture for new business requirements and on-premises to cloud enablement in Amazon Web Services and Google Cloud Platform. Participating in all phases of design and development life cycle of analytic applications and reporting tools utilizing various technology platforms in both on premises and cloud environments. Delivering projects using Spark and Python in the Hadoop ecosystem. Extracting data loads from Teradata into Hadoop environment and creating Hive tables. SQL in relational databases, including Teradata, Oracle and SQL Server, Big Data, and Hadoop technologies. Using Spark and Hive for data transformation, including using Spark SQL to perform analysis of vast data stores and uncover insights. Building distributed, reliable, and scalable data pipelines to ingest and process data in real time. Coding in Spark, Scala, SQL, and NoSQL and scripting using shell scripts. Control-M and Air-Flow tools to schedule and monitor jobs. Alternate Education/Experience Requirements: Employer will accept a Master's degree in Computer Science or a related field plus one (1) year of experience working in related occupation(s). Must have one (1) year of experience in each of the skills listed above. Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities - and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

About Us At LexisNexis Intellectual Property Solutions, our mission is to bring clarity to innovation by delivering better outcomes to the innovation community. Every day, our teams support the development of new technologies and processes that ultimately advance humanity. By empowering innovators to make informed decisions, be more productive, comply with regulations, and achieve superior results, we directly serve those shaping the future of humankind. About the Team We are launching a small, high-impact innovation team focused on data science and AI-driven solutions. We are seeking a Director of Data Science & AI Innovation to lead this effort. This role blends strategic leadership, applied AI expertise, and hands-on execution. About the Role You will initially lead a very small team (one data scientist and one engineer), working side-by-side with them to prototype, test, and evolve AI solutions from concept to scalable product. As the team grows, you will expand its capabilities, establish best practices, and help shape the future of AI innovation across the organization. Conditions of Employment: You must be a U.S. citizen to apply for this position. Hybrid Position required to report to one of the following Horsham, PA, Washington, DC (Alexandria, VA) or Raleigh, NC Responsibilities Strategic Leadership Collaborate with the CTO and senior leadership to scope, prioritize, and deliver AI and data science innovation projects aligned to business and product strategy. Define and execute our AI strategy, transforming complex business challenges into data science-driven solutions that evolve from prototypes into scalable, production-grade AI services. Modernize data infrastructure and deploy impactful AI capabilities including generative AI, agentic AI, and deep learning. Each tightly aligned with measurable business outcomes. Innovation & Delivery Own the end-to-end lifecycle of AI initiatives from greenfield concept through prototyping, experimentation, and implementation into successful market-ready solutions. Rapidly evaluate new AI/ML techniques, architectures, and technologies for practical application. Champion responsible AI practices, including transparency, bias mitigation, and model governance. Team Leadership & Development Lead and mentor a small founding team, setting the tone for a culture of innovation, experimentation, and rapid iteration. Establish technical best practices in experimentation, data pipelines, model development, and deployment, building the foundation for future growth. Foster organizational best practices by bridging data science, engineering, and product teams to embed AI across business functions, ensuring alignment through transparent communication and cross-functional collaboration. Inspire and develop future team members as the group expands. Collaboration & Influence Partner with product managers to shape AI product strategies and make build-vs-buy decisions. Provide clear communication and insights to senior executives and stakeholders. Represent the AI/Data Science team in strategic forums, highlighting impact and progress. Requirements Experience 12+ years in technology roles with at least 7+ years focused on data science/AI. 5+ years in leadership roles managing high-performing data science or AI teams. Proven track record of delivering greenfield AI/ML solutions into production environments. Experience in rapid prototyping, experimental design, and scaling AI systems. Technical Expertise Deep knowledge of machine learning, natural language processing, generative AI, and modern data/ML architectures. Strong grounding in software engineering practices, data pipelines, and MLOps. Hands-on ability to contribute to early prototypes alongside a small team. Leadership & Skills Excellent communication skills with the ability to explain AI concepts to both technical and non-technical audiences. Demonstrated ability to lead in ambiguous, fast-paced, and experimental environments. Strong experience balancing near-term delivery with long-term technical strategy. Plus Experience Familiarity with lean product development and design thinking. Experience working in startup, innovation lab, or 0→1 product environments. Work in a way that works for you We promote a healthy work/life balance across the organization, with various flexible and remote working options available to employees. Working with Us LexisNexis Legal & Professional is proud to be an equal-opportunity employer. We are committed to equal opportunity employment regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Together, we are building a diverse and inclusive workplace. Working for you We believe in a healthy work/life balance. We know that your well-being and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Comprehensive, multi-carrier health plan benefits Disability insurance Dependent care and commuter spending accounts Life and accident insurance Retirement benefits (salary investment plan/employer stock purchase plan) Modern family benefits, including adoption and surrogacy About LexisNexis LexisNexis Intellectual Property Solutions is a division of LexisNexis Legal and Professional. LexisNexis is a leading global provider of legal, regulatory, business information and analytics that help customers increase productivity, improve decision-making and outcomes, and advance the rule of law around the world. We're a part of the stock listed RELX Group, serving customers in more than 130 countries with 10,000 employees worldwide. U.S. National Base Pay Range: $133,400 - $247,800. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer to our US full- and part-time employees working at least 20 hours or more per week: ● Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits● Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan● Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs● Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity● Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits● Health Savings, Health Care, Dependent Care and Commuter Spending Accounts● In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Lead AI Innovation Lead - Data Science Lab Overview Guardian is on a transformation journey to evolve into a modern, forward-thinking insurance company committed to enhancing the wellbeing of its customers and their families. As part of the Data & AI team, this role presents a distinctive opportunity to collaborate with the CDAO and the Head of Data Science, actively contributing to Guardian's ongoing evolution. Guardian's Data & AI team spearheads a culture of data insights across Guardian, facilitating the successful realization of our strategic initiatives. Our core activities encompass creating business value from our data and analytic products. Key responsibilities include data lifecycle management, insight development, and data product delivery. We are a team of data analysts, data product owners, data scientists and most importantly, data business leaders. Our solutions and actions are critical to Guardian's revenue growth, risk management and customer experience. Guardian created a Data Science Lab (DSL) to reimagine insurance in light of emerging technology, societal shifts, and evolving consumer needs. The DSL will expedite Guardian's transition to data-driven decision making and insight generation, fostering long-term innovation. The DSL will establish rapid testing capabilities for new technology and the translation of pioneering research into practical, enterprise-wide solutions. In this role as Managing Lead Data Scientist for the DSL, you'll be entrusted with the crucial task of managing the DSL and devising AI strategy for the Data Science team. Your responsibilities will include identifying new AI capabilities, coming up with solutions to scale the Data Science team, leveraging machine learning and artificial intelligence, to drive enterprise-wide innovation across various business lines and Guardian products. You'll collaborate with senior executives on high-impact high-visibility projects to deliver AI/ML solutions that will be market-tested and deployed to make a real difference to risk management and Guardian's overall financial performance. Successful candidates bring expertise in insurance and financial services, a passion for applying cutting-edge ML and AI insights, and the ability to design and implement data science capabilities that foster growth, competitive advantage, and customer satisfaction. Key Responsibilities Include: Leadership & Strategy Lead the Data Science Lab (DSL) by setting strategic direction, driving innovation, and ensuring alignment with Guardian Life's business goals and digital transformation initiatives. Manage and mentor a high-performing team of data scientists, fostering a culture of continuous learning, experimentation, and excellence. Monitor developments across the AI and data science community to position Guardian as a leader in responsible and effective AI adoption. Report and communicate progress, opportunities, and risks to executive stakeholders, delivering insights and recommendations in a clear, actionable manner. Innovation & Research Stay current with advancements in machine learning (ML), artificial intelligence (AI), and industry trends to identify and evaluate emerging capabilities and technologies. Collaborate with academic and industry partners to develop and test novel AI/ML methods and approaches. Introduce and apply ML/AI innovations to practical, high-impact opportunities across Guardian's business units. Create patentable technologies and methodologies that drive long-term innovation. AI/ML Development Build and lead experimentation efforts to validate the feasibility and impact of new data science techniques in real-world insurance use cases. Develop capabilities in Deep Learning, Large Language Models (LLMs), and Generative AI. Apply AI/ML to unstructured data sources such as insurance contracts, medical records, sales notes, and customer service logs. Deliver solutions that enhance underwriting risk assessment, claims auto-adjudication, and customer servicing. Operational Excellence Establish scalable processes, frameworks, and governance models for efficient and responsible AI/ML development, testing, and deployment. Assess and recommend cutting-edge tools, platforms, and technologies to enhance data science workflows and model lifecycle management. Actively participate in proof-of-concept evaluations of new data, software, and technologies. Collaboration & Integration Collaborate cross-functionally with business leaders, technology teams, and data professionals to translate business challenges into AI-driven solutions. Contribute to the standardization of data science tools, processes, and best practices across the enterprise. Function as the data science expert in internal and external meetings, including vendor engagements and industry conferences You are: You are passionate about cutting-edge technology and keen on applying new AI/ML algorithms and approaches. You are analytically driven, intellectually curious, and experienced leading the development and implementation of data and analytic solutions to solve challenging business problems. You enjoy leading and managing a team of data scientist to crack hard to solve problems with AI/ML and seeing it deployed in-market and generating value for Guardian. You enjoy collaborating with a multi-disciplinary team including data engineers, business analysts, software developers and functional business experts and business leaders. You have demonstrated track record of managing data science teams and working with business leaders. You have: PhD with 6+ years of experience, Master's degree with 8+ years of experience, or Bachelor's degree with 10+ years of experience in Computer Science, Engineering, Applied mathematics or related field 7+ years of hands-on ML modeling/development experience Extensive experience in deep learning models including Large Language Models (LLM) and Natural Language Processing (NLP) Hands-on experience with GPU, distributed computing and applying parallelism to ML solutions Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Experience leading team of Data Scientist of four or more Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Location: Three days a week at a Guardian office in New York, NY, Holmdel, NJ, Boston, MA, Stamford, CT, Pittsfield, MA or Bethlehem, PA Remote Candidates who can travel up to 20% of the time to our New York office will be considered. Salary Range: $148,940.00 - $244,685.00 The salary range reflected above is a good faith estimate of base pay for the primary location of the position. The salary for this position ultimately will be determined based on the education, experience, knowledge, and abilities of the successful candidate. In addition to salary, this role may also be eligible for annual, sales, or other incentive compensation. Our Promise At Guardian, you'll have the support and flexibility to achieve your professional and personal goals. Through skill-building, leadership development and philanthropic opportunities, we provide opportunities to build communities and grow your career, surrounded by diverse colleagues with high ethical standards. Inspire Well-Being As part of Guardian's Purpose - to inspire well-being - we are committed to offering contemporary, supportive, flexible, and inclusive benefits and resources to our colleagues. Explore our company benefits at www.guardianlife.com/careers/corporate/benefits. Benefits apply to full-time eligible employees. Interns are not eligible for most Company benefits. Equal Employment Opportunity Guardian is an equal opportunity employer. All qualified applicants will be considered for employment without regard to age, race, color, creed, religion, sex, affectional or sexual orientation, national origin, ancestry, marital status, disability, military or veteran status, or any other classification protected by applicable law. Accommodations Guardian is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Guardian also provides reasonable accommodations to qualified job applicants (and employees) to accommodate the individual's known limitations related to pregnancy, childbirth, or related medical conditions, unless doing so would create an undue hardship. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact applicant_accommodation@glic.com. Current Guardian Colleagues: Please apply through the internal Jobs Hub in Workday.

Healthcare quality is declining and soaring costs are crushing American families and businesses. At Garner, we've developed a revolutionary approach to evaluating doctor performance and a unique incentive model that's reshaping the healthcare economy to ensure everyone can afford high quality care. By providing organizations relief from surging healthcare costs, we've experienced rapid adoption in the market and have more than doubled our revenue annually over the last 5 years, becoming the fastest growing company in our space. To support our continued growth, we're expanding our team by over 50% each year, seeking exceptional talent to shape our unique, award winning culture (for example, USA Today Top Workplaces 2025) designed to cultivate teamwork, trust, autonomy, exceptional results, and individual growth that creates an inflection point in your career. About the role: We're looking for a Director, Data Science & Analytics to develop and own Garner's product and business analytics. In this role, you'll manage a high-performing team of data scientists and analysts, serve as a strategic partner to the executive team, and help drive the analytics vision across the company. You'll play a pivotal role in shaping how we use data to improve our products and business operations, ultimately delivering better healthcare outcomes. This role reports to Chief Product and Data Officer, Phil Salinger. Where you will work: This role will be based in our New York City office. You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday. What you will do: Own Garner's business intelligence function, including defining, building, and maintaining core product and company-wide KPIs and dashboards Lead, manage and grow a team of data scientists and analysts (starting at 8), with analysts embedded across key product areas such as Care Navigation and Financial Incentives, plus a centralized Business Analytics group under your leadership Strategic leadership and thought partnership with the C-suite by synthesizing Garner's KPIs and associated analytics to inform key decisions Run Garner-wide Data Science & Analytics Guild. Own standards, best practices, data science community Bring a consulting-style approach to structuring problems, generating insights, and recommending action What you will bring to the team: 8+ years working in data-focused roles including product research, business analytics, or data science At least 2+ years managing technical teams Demonstrated ability to lead high-performing teams and partner cross-functionally with Product and Executive stakeholders Hands-on analytical skills and comfort working in a fast-paced, evolving startup environment - you're willing to roll up your sleeves and lead by example Proven track record of helping cross-functional teams identify and prioritize research opportunities that will deliver high-quality data-driven insights Deep experience in business intelligence, product analytics, and applied data science; familiarity and comfort with basic machine learning methods Strong communication skills and ability to translate complex data into compelling, business-critical insights Demonstrated ability to operate effectively in dynamic, fast-paced startup environments, with a hands-on approach and a strong commitment to organizational success A desire to be a part of our mission to improve the U.S. healthcare system Compensation Transparency: The target salary range for this position is $265,000-$275,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k) with company match, flexible spending accounts, Teladoc Health and more. Fraud and Security Notice: Please be aware of recent job scam attempts. Our recruiters use getgarner.com email domain exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@getgarner.com. Equal Employment Opportunity: Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@getgarner.com.