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

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:

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 $212,000 - $265,000, based on a variety of factors including qualifications, experience, and geographic location. In addition to base salary, this role may be eligible for 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 #LI-MG1 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. A notice to Headway applicants: To protect yourself against phishing and recruitment fraud, please note that Headway only accepts applications through our official careers page at https://headway.co/careers . Headway will never refer you to external websites, ask for payment or personal information, or conduct interviews via messaging apps. All official communication will come from a @findheadway.com email address. If you are contacted by someone claiming to be from Headway via an unofficial channel, please do not share any information and report it as spam.

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

Employee Applicant Privacy Notice Who we are: Shape a brighter financial future with us. Together with our members, we're changing the way people think about and interact with personal finance. We're a next-generation financial services company and national bank using innovative, mobile-first technology to help our millions of members reach their goals. The industry is going through an unprecedented transformation, and we're at the forefront. We're proud to come to work every day knowing that what we do has a direct impact on people's lives, with our core values guiding us every step of the way. Join us to invest in yourself, your career, and the financial world. The role The Borrow Data Science team is seeking a Senior Manager who will help support growth in our Lending businesses by improving SoFi's ability to execute with data. This is an exciting role for someone to leverage their Analytical, Engineering, and Management skills to lead a team of Data Scientists with high visibility and impact. You will serve as a data leader, balancing urgent requests and delivering high quality projects to key stakeholders, through a clear and repeatable data informed approach. You will create a culture of strong technical ownership, deliver impact with prioritization, support the growth of individual contributors, and hold the team accountable with high standards. You are expected to work cross-functionally, including: engineering, product managers, lifecycle marketing, data science, design, operations, finance, risk, legal, compliance, and executive teams to set business objectives, define product strategy, prioritize features, and execute on them. What you'll do: Manage a team of Data Scientists supporting SoFi's Personal Loans, Student Loans, and Home Loans businesses Collaborate with senior leaders and other stakeholders to identify and prioritize Data Science initiatives Set high standards for quality and on-time delivery. Recruit, grow, and retain top talent Ensure that the team is operating in an agile and efficient manner Stay up-to-date on the latest AI/ML technologies Identify high impact business opportunities to help members achieve their financial goals Mentor and guide data scientists in the team by promoting best practices, strong technical decisions, coding standards, and thorough documentation. Build strong relationships with stakeholders and present insights on a regular cadence communicating findings to both technical and non-technical stakeholders Collaborate with cross-functional teams and business leaders to understand needs and offer data-driven solutions What you'll need: Bachelor's Degree in a technical field 7+ years of Data Science or Software Engineering experience 3+ years management experience Experience leveraging data-driven analysis to influence key decisions, preferably in a Tech or Finance company Experience with using Airflow and DBT to build Data Pipelines in Snowflake Strong programming skills in SQL and Python Experience with building data visualizations with Tableau, Looker or other BI tools Knowledge of varied ML algorithms, applicability to different business problems, and experience in deploying ML models at scale in production with monitoring metrics. Ability to work in a dynamic, cross-functional environment, with a strong attention to detail; Effective communication and presentation skills and ability to explain complex analyses in simple terms to business leaders; Strong relationship building and collaborative skills; Exceptional problem-solving Compensation and Benefits The base pay range for this role is listed below. Final base pay offer will be determined based on individual factors such as the candidate's experience, skills, and location. To view all of our comprehensive and competitive benefits, visit our Benefits at SoFi page! Pay range: $172,800.00 - $297,000.00 Payment frequency: Annual This role is also eligible for a bonus, long term incentives and competitive benefits. More information about our employee benefits can be found in the link above. SoFi provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion (including religious dress and grooming practices), sex (including pregnancy, childbirth and related medical conditions, breastfeeding, and conditions related to breastfeeding), gender, gender identity, gender expression, national origin, ancestry, age (40 or over), physical or medical disability, medical condition, marital status, registered domestic partner status, sexual orientation, genetic information, military and/or veteran status, or any other basis prohibited by applicable state or federal law. The Company hires the best qualified candidate for the job, without regard to protected characteristics. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. New York applicants: Notice of Employee Rights SoFi is committed to an inclusive culture. As part of this commitment, SoFi offers reasonable accommodations to candidates with physical or mental disabilities. If you need accommodations to participate in the job application or interview process, please let your recruiter know or email accommodations@sofi.com. Due to insurance coverage issues, we are unable to accommodate remote work from Hawaii or Alaska at this time. Internal Employees If you are a current employee, do not apply here - please navigate to our Internal Job Board in Greenhouse to apply to our open roles.

Job Description As a Principal Machine Learning Engineer at Nordstrom you will have the opportunity to develop and implement advanced machine learning systems and infrastructure, focusing on Merchandising, Supply Chain, and Inventory helping Nordstrom optimize profit while improving the customer experience. The Principal ML Engineer will collaborate closely with data scientists, software engineers, and product teams to translate complex business problems into production-ready solutions. You will drive architectural decisions for high-performance computing and cloud-based ML platforms, ensuring scalability and security. Your responsibilities include creating models and optimizing model performance, ensuring system reliability, and implementing efficient data pipelines. Additionally, you will mentor junior engineers and stay updated on emerging technologies to guide strategic innovation. Your role is critical in delivering robust, scalable, and efficient machine learning solutions that support business growth and innovation. A day in the life... Design, implement, and scale critical machine learning systems and infrastructure to support Nordstrom's business, particularly in Merchandising, Supply Chain, and Inventory. Collaborate with cross-functional teams to set and align on machine learning platform strategies to meet company objectives. Stay up-to-date with the latest technology in machine learning and apply this knowledge to tackle complex problems in innovative ways. Collaborate with leadership to up-level the ML tech stack and improve the performance of the organization. Work across teams to understand product requirements, evaluate trade-offs, and deliver the solutions needed to build innovative products or services. Advocate for and apply best practices when it comes to availability, scalability, operational excellence, and cost management. Provide technical direction that influences the entire ML community. Mentor junior engineers and promote best practices in ML operations (MLOps). You own this if you have... 10+ years of related experience in applied Machine Learning. Strong programming skills in object-oriented languages (Scala / Python / Java/ C++ or equivalent), Data engineering skills, and a firm grasp of computer science fundamentals (data structures, algorithms, databases, etc.). Bachelor's, Master's, or PhD in CS/ML/OR or related field. Industry experience building end-to-end Machine Learning infrastructure and/or building and productionizing Machine Learning models. Exposure to architectural patterns of large, high-scale software applications (e.g., well-designed APIs, high-volume data pipelines, efficient algorithms, and models). Deep understanding of statistical and machine learning algorithms, and a finely honed intuition for fitting the best model class to a given situation. Comfortable working with and across different cloud solutions - AWS/Sagemaker and GCP/Vertex AI experience a plus. An ability to work both independently and collaboratively. A broad perspective on problem-solving. Strong communication skills and a desire to share your knowledge with team members and others. Preferred Qualifications: Experience partnering with cross-functional teams exercising sound judgment. Track record of delivery in rapidly changing, highly collaborative, multi-stakeholder environments. Experience working with a diverse group of engineers. Experience contributing to AI publications. Core Competencies: Customer Focus: Commitment to delivering a seamless customer experience through technology solutions. Decision Quality: Ability to make sound decisions based on a mix of analysis, wisdom, experience, and judgment. Strategic Mindset: Capacity to take a long-term view and anticipate future trends and implications. Manages Complexity: Effectively navigates and simplifies complex situations and challenges. Communicates Effectively: Delivers clear, concise, and impactful messages to a variety of audiences. Drives Results: Demonstrates a strong drive to achieve meaningful outcomes. #LI-EB1 We've got you covered… Our employees are our most important asset and that's reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It's not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. Nordstrom conducts background checks and considers qualified applicants with criminal histories in a manner consistent with all legal requirements. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ's for relevant information and guidelines. 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $191,000.00 - $297,000.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf

Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves, live in the moment, learn about the world, and have fun together. The Company's three core products are Snapchat, a visual messaging app that enhances your relationships with friends, family, and the world; Lens Studio, an augmented reality platform that powers AR across Snapchat and other services; and its AR glasses, Spectacles. The Data Science & Insights team seeks to leverage our massive data sets into actionable insights that deliver business value. As truth seekers and truth tellers, we relay what the data says without bias, even when inconvenient or difficult. We aim to improve decision-making quality and speed across the organization to enable a deeper understanding of our customers and products. We focus on efficient and effective analytic execution, positioning ourselves as the go-to experts with deep knowledge and expertise, constantly striving for better, faster insights from data. We're looking for a Manager, Data Science, Ads Ranking to join Snap Inc. What you'll do Lead a team of data scientists focused on optimizing ad ranking, auction dynamics, and marketplace efficiency to maximize advertiser value and Snapchatter experience Help build and manage a team of high performing data scientists and help them execute along the most important priorities and deliver world-class products Establishes a positive, mutually supporting, inclusive and fun team environment where every employee can do their best Work cross-functionally and partner with product managers, engineers, and researchers to to develop data-driven strategies that shape product direction Conduct in-depth analysis of all data sources, asking the right questions, testing hypotheses, identifying patterns and providing the necessary business context to translate what it all means Deliver on data science and analytics roadmap including continuous improvement, accurate and timely reporting and measurement Define and drive the data science roadmap for ad ranking, including model development, experimentation, actionable insights and measurement framework Build scalable methodologies for experimentation and causal inference to assess the impact of ranking changes and new product features Translate complex technical findings into actionable insights and strategic recommendations for leadership and cross-functional stakeholders Provide strategic direction, project clarity, methodological consultation and deliver results both individually and through managing a high performing team Knowledge, Skills, Abilities: Experience leading ads data science teams with an in-depth understanding of auction dynamics, pricing, ranking, pacing and ad load Understanding of statistical analysis, experience with packages, such as R, MATLAB, Stata, etc. Working knowledge of predictive modeling, machine learning, and experimentation/ causal inference methods Expertise in the data workflow and pipeline and lead a team responsible for data capture, measurement, and optimization capability management Expertise in SQL and familiarity with Python Excellent communication skills, with high attention to detail Ability to initiate and drive projects to completion with minimal guidance Ability to balance practical business needs and scientific rigor Industrial knowledge in ad ranking or recommendation systems Minimum Requirements BS/BA degree in statistics, mathematics, economics, computer science, engineering or related field or equivalent years of experience 7+ years of experience in quantitative analysis & data science or a related field 3+ years experience in a leadership role within a data organization Preferred qualifications Advanced degree in a quantitative field (Economics, Computer Science, Physics) Experience forming partnerships with cross-functional leaders in engineering, product, design, research, etc. Proven track record in transforming data into meaningful insights and opportunities to drive growth and performance. Experience in a product-focused role at a social media, online advertising, digital media and/or mobile technology company If you have a disability or special need that requires accommodation, please don't be shy and provide us some information. "Default Together" Policy at Snap: At Snap Inc. we believe that being together in person helps us build our culture faster, reinforce our values, and serve our community, customers and partners better through dynamic collaboration. To reflect this, we practice a "default together" approach and expect our team members to work in an office 4+ days per week. At Snap, we believe that having a team of diverse backgrounds and voices working together will enable us to create innovative products that improve the way people live and communicate. Snap is proud to be an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws. EOE, including disability/vets. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, where applicable). Our Benefits: Snap Inc. is its own community, so we've got your back! We do our best to make sure you and your loved ones have everything you need to be happy and healthy, on your own terms. Our benefits are built around your needs and include paid parental leave, comprehensive medical coverage, emotional and mental health support programs, and compensation packages that let you share in Snap's long-term success! Compensation In the United States, work locations are assigned a pay zone which determines the salary range for the position. The successful candidate's starting pay will be determined based on job-related skills, experience, qualifications, work location, and market conditions. The starting pay may be negotiable within the salary range for the position. These pay zones may be modified in the future. Zone A (CA, WA, NYC): The base salary range for this position is $229,000-$343,000 annually. Zone B: The base salary range for this position is $218,000-$326,000 annually. Zone C: The base salary range for this position is $195,000-$292,000 annually. This position is eligible for equity in the form of RSUs.

Key Responsibilities Set the Vision: Define the strategic direction for data science across Goosehead, ensuring alignment with enterprise goals and long-term AI ambitions. Leadership and Team Development: Build, mentor, and scale a high-performing team of data scientists while fostering a culture of technical rigor, creativity, and impact. Strategic Partnership: Act as a trusted advisor to senior executives and business leaders, translating complex challenges into actionable AI strategies. Applied Machine Learning: Oversee the design, development, and deployment of ML systems driving automation, personalization, and operational efficiency. Methodology and Innovation: Advance the organization's analytical frameworks, experimentation design, and causal inference capabilities. Operational Excellence: Establish best practices for MLOps, model lifecycle management, governance, and responsible AI. Collaboration with Engineering: Partner with the Director of AI Infrastructure and Data Architecture to ensure seamless integration between data science models and underlying data and ML platforms. Measurement and Storytelling: Define success metrics for AI initiatives and communicate outcomes clearly to executive and non-technical audiences. Technology Leadership: Stay at the forefront of AI and ML research, bringing emerging technologies such as LLMs, generative AI, and reinforcement learning into practical business use cases. Experience and Qualifications 10+ years of experience in data science or machine learning, including at least 3 years in a leadership capacity managing teams and enterprise-level initiatives. Proven track record of developing and deploying ML models that drive measurable business value. Deep proficiency in Python and modern ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch, with strong SQL skills. Expertise in model development, feature engineering, and experimentation across structured and unstructured data. Strong understanding of MLOps principles, CI/CD for ML, and cloud-native architectures such as Azure, Databricks, and Snowflake. Experience designing and operationalizing responsible AI frameworks, including governance, fairness, and interpretability. Exceptional ability to communicate complex technical concepts to senior stakeholders in clear, business-relevant terms. Demonstrated success building cross-functional relationships across engineering, analytics, and business domains. Preferred Qualifications Advanced degree (MS or PhD) in Computer Science, Statistics, Applied Mathematics, or a related quantitative field. Experience with large-scale experimentation, causal inference, or reinforcement learning. Familiarity with LLMs, RAG pipelines, and prompt engineering for applied business use. Background in insurance, financial services, or other regulated industries. Experience building and scaling AI functions or centers of excellence within a growing enterprise.

Department AI Data Science 4 Everyone About the Department Data Science 4 Everyone (DS4E) is a national initiative working to catalyze the adoption of data science and data literacy as a fundamental component of K-12 education. Incubated at the University of Chicago Center for RISC and popularized by the 2019 Freakonomics podcast America's Math Curriculum Doesn't Add Up, DS4E is quickly expanding our dedicated team at the University of Chicago, striving to teach students the basics of modern data across school subjects and grade levels. In just 4 years, DS4E has catalyzed support for data science education in 32 states and counting, hundreds of schools, and with numerous national partners. As a field catalyst, DS4E builds awareness with local, state, and national leaders; centralizes and disseminates resources; hosts convenings and communities of practice; creates unique partnerships to support educators across the country; and helps schools and districts design new K-12 programs for all students. Job Summary DS4E is seeking a Deputy Director to guide the organization through its next chapter of growth and impact. We're looking for a leader who is passionate about bridging the country's digital divide, cares deeply about the structures and practices that make a nonprofit thrive, and brings a systems lens to building internal strength while advancing an ambitious external agenda. This individual will draw upon a diverse set of experiences in the education sector to identify new focus areas or refine existing ones, continuously shape DS4E's role in a dynamic and fast-evolving field, and rigorously evaluate what is working and what is not. As the team enters an important new phase of growth and formalization, the Deputy Director will play a key role in ensuring coherence across strategy, structure, and execution, including with new organizational structures. A thought partner and operational leader, this person will regularly collaborate with DS4E's Executive Director, funders, and team to co-develop strategy and then translate it into focused plans, clear priorities, and systems that support strong delivery. They will foster internal cohesion, manage cross-team execution, and help build a sustainable foundation for DS4E's continued influence in education, policy, and innovation. The Deputy Director will report directly to the Executive Director of DS4E. The following team members will report to the Deputy Director: the Instructional Director, Policy Director, and Partnerships Manager. Additionally, the Strategic Initiatives Manager may also report to the Deputy Director. This structure is designed to support coherent leadership across DS4E's key functional areas while enabling the Executive Director to focus on external relations, fundraising, and high-level strategy. Responsibilities Serves as the internal anchor for a fast-growing, distributed team, connecting workstreams and reducing fragmentation. Manages and mentors team leads, supporting them to grow as people managers and confident decision-makers. Fosters a collaborative, inclusive culture that balances autonomy with shared accountability. Partners with the Executive Director to translate vision into clear organizational priorities and multi-year strategies. Leads annual and quarterly planning processes, ensuring staff are aligned on goals and how they'll get there. Evaluates new opportunities against mission, capacity, and timing, making tough calls when needed. Ensures timely, transparent communication across teams and leadership, avoiding silos and confusion. Steps in to make high-leverage decisions when needed, especially in moments of ambiguity or urgency. Helps the team balance responsiveness with focus, knowing when to move quickly and when to hold the line. Builds and maintains lightweight, effective systems to track timelines, budgets, deliverables, and capacity. Oversees the execution of major cross-functional efforts, such as assessment roadmap, development of an independent organizational entity, ensuring scalable systems and infrastructure are in place to support long-term growth. Leads cross-functional coordination by partnering with the Operations Manager to ensure finance and grant processes facilitate execution. Provides oversight of floating grant accounts, stewards the evolution toward a hybrid operating structure, and builds systems to monitor financial data, project timelines, and initiative progress, supporting teams to stay focused, aligned, and well-resourced. Develops and administers program budgets and recommends or makes budgetary recommendations. Serves as a key resource for program information. Resolves problems or questions referred by program staff, University administrators, or other contingencies. Performs other related work as needed. Minimum Qualifications Education: Minimum requirements include a college or university degree in related field. Work Experience: Minimum requirements include knowledge and skills developed through 7+ years of work experience in a related job discipline. Certifications: -- Preferred Competencies Familiarity with the K-12 education landscape, including experience working within or alongside schools, districts, or state agencies, such as through roles in publishing, education nonprofits, or other mission-aligned organizations. Proven track record leading teams or departments in mission-driven settings, such as nonprofit, education, or social impact organizations, particularly through periods of organizational growth, strategic change, or increasing operational complexity. Leading and developing individuals at all levels, with a track record of cultivating emerging leaders through structured support, clear communication, and intentional team-building practices. Demonstrated success designing and implementing systems for project planning, team coordination, budgeting, and grant management, including restricted and unrestricted funding. Skilled communicator with a track record of translating strategy and priorities across internal teams and external stakeholders such as funders, education leaders, and policymakers. Evidence of sound judgment and strategic prioritization, including the ability to assess tradeoffs, say no when needed, and focus an organization on high-impact work. Comfortable operating in fast-paced, ambiguous environments, with a disciplined approach to managing multiple priorities and aligning team efforts. Recognized for a leadership style rooted in humility, clarity, and trust, with a service-oriented approach to collaboration. Working Conditions 100% remote work. Occasional travel, including nights and weekends. Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of their job. Application Documents Resume/CV (required) Cover Letter (required) When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application. Job Family Administration & Management Role Impact Individual Contributor Scheduled Weekly Hours 37.5 Drug Test Required No Health Screen Required No Motor Vehicle Record Inquiry Required No Pay Rate Type Salary FLSA Status Exempt Pay Range $120,000.00 - $140,000.00 The included pay rate or range represents the University's good faith estimate of the possible compensation offer for this role at the time of posting. Benefits Eligible Yes The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook. Posting Statement The University of Chicago is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, or expression, national or ethnic origin, shared ancestry, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination. Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form. All offers of employment are contingent upon a background check that includes a review of conviction history. A conviction does not automatically preclude University employment. Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position. The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu . Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.

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 Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for a Principal Scientist, Omics- R&D Data Science & Digital Health to focus on Neurodegeneration and/or Neuropsychiatry. This position can be located in either Cambridge, MA; Spring House, PA; San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% domestic and international travel. Please note that this role is available across multiple countries and may be posted under different requisition numbers to align with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s): USA- Requisition Number: R-052120 Belgium- Requisition Number: R-053690 Role Summary Our Neuroscience Data Science & Digital Health (DSDH) team integrates the power of multi-omics, digital health technologies and clinical/real-world evidence (RWE) data to accelerate the delivery of transformational therapies for Neurodegeneration, Neuropsychiatry and Ophthalmology. We drive decision-making and breakthroughs from molecular discovery to clinical trials by partnering along the pipeline to ensure that data science & digital health strategies are embedded in every program. We are seeking a Principal Scientist, Omics to join our DSDH team focused on Neurodegeneration and/or Neuropsychiatry. In this role, you will drive the precision neuroscience strategy by shaping and leading the execution of projects that bring to bear bioinformatics, artificial intelligence and machine learning as needed to link molecular signatures (genetics, gene expression, proteomics) to disease stage and progression, mechanisms of action, and disease endophenotypes. You will be part of a cross-functional team of data science leaders and partner closely with the Neuroscience Therapeutic Area, Quantitative Sciences, and Discovery Product Development and Supply (DPDS). This position offers the opportunity to transform how we understand disease biology, identify novel targets, stratify patients, and deliver better outcomes for people living with neurodegenerative and neuropsychiatric disorders. Key Responsibilities Shape the strategy and implement projects for data-driven identification and evaluation of novel therapeutic targets, patient stratification approaches and precision biomarkers from the perspective of omics data, brain biology, and mechanism of action, drawing upon a combination of internal and external resources. Work in multi-disciplinary teams, composed of discovery scientists, clinicians, computational biologists and biomarker experts to develop precision neuroscience plans across the Neurodegeneration and Neuropsychiatry portfolio, being forward looking and foreseeing a path to launch. Remain current on the constantly evolving landscape of neuroscience, neuropsychiatry, and neurodegeneration, omics, bioinformatics and AI/ML research in search of better strategies for accelerating and prioritizing our portfolio based on biological insights. Build strong relationships with internal partners and key academic collaborators, technology providers, and consortia to position the company at the forefront of data-driven neuroscience. Qualifications PhD in neuroscience, computational biology, bioengineering, biostatistics, or a related field is required. 3+ years of progressive industry or academic experience in applying data-driven methods in the context of target discovery and validation, translational science and patient stratification is required. Extensive background working hands-on deriving insights from high-dimensional molecular data - particularly genetic, RNAseq, proteomics and/or single-cell data is required. Proficiency in R, Python, or similar programming languages is required. Proven track record of scientific contributions in this field with first author publications in high-impact journals is required. Experience translating data into strategies and executable action plans is required. Ability to clearly communicate technical work to a diverse audience is required. Background and experience working in Neurodegeneration and/or Neuropsychiatry is strongly preferred. Experience working with and leading interdisciplinary teams through either people or project leadership is preferred. Familiarity with machine learning and innovative AI methodologies is preferred. Strong reputation for driving novel solutions to problems and providing strategic advice is preferred. Familiarity with clinical development processes is preferred. Up to approximately 10% yearly travel is required (International, Domestic) This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, or San Diego, CA, United States of America; or Beerse, Antwerp, Belgium, and may require approximately 10% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position in the US is $117,000 to $201,250. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation's performance over a calendar/performance year. Bonuses are awarded at the Company's discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company's consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation - up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays - up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL #JNJDataScience #JNJIMRND-DS #JRDDS #LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Coaching, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Digital Fluency, Econometric Models, Organizing, Process Improvements, Strategic Thinking, Technical Credibility, Workflow Analysis

WHO WE ARE Consumer Reports is an independent, nonprofit organization dedicated to a fair and just marketplace for all. CR is known for our rigorous testing and trusted ratings on thousands of products and services. We report extensively on consumer trends and challenges, and survey millions of people in the U.S. each year. We leverage our evidence-based approach to advocate for consumer rights, working with policymakers and companies to find solutions for safer products and fair practices. Our mission starts with you. We offer medical benefits that start on your first day as a CR employee that include behavioral health coverage, family planning and a generous 401K match. Learn more about how CR advocates on behalf of our employees. OVERVIEW AI and machine learning are redefining how CR serves consumers-helping people make informed choices through intelligent, data-driven experiences. The Full-Stack Software Engineer - AI/ML & Data Science will design, build, and deploy modern web applications and Services that operationalize AI and ML capabilities. Reporting to the Associate Director, AI/ML & Data Science, this role bridges cutting-edge data science with production-grade software, developing user-facing tools, APIs, and services that make AI models accessible and impactful. If you love working across the full technology stack-turning AI models and data into products that empower millions-this is the role for you. This is a hybrid position. This position is not eligible for sponsorship or relocation assistance. How'll You'll Make An Impact: As a mission-driven organization, Consumer Reports is pursuing an ambitious AI strategy designed to drive value for our customers, empower our employees with next-generation tools, and address AI harms in the digital marketplace. Join our Data Office and help execute on a strategic, multi-year roadmap focused on advancing Machine Learning and Generative AI initiatives. As a Full-Stack Software Engineer on the team you will: Design and develop full-stack web applications, Data APIs, analytics dashboards that integrate AI/ML models. Build and maintain backend services and APIs using Python (FastAPI, Django) and Node.js, integrating with Databricks, AWS SageMaker, or similar platforms. Develop intuitive, responsive front-end interfaces using React.js, Next.js, JavaScript, and CSS (TailwindCSS or similar). Deploy scalable, cloud-native applications leveraging AWS, GCP, or Azure infrastructure. Work with AI/ML engineers to implement Retrieval-Augmented Generation (RAG) pipelines, vector databases, and AI model endpoints. Implement secure authentication, data access, and API management for consumer and internal applications. Build CI/CD pipelines, automate testing, and optimize system performance for production workloads. Partner with product and design teams to deliver user-centric AI application experiences. ABOUT YOU You'll Be Highly Rated If: You have the experience. 5+ years of experience building full-stack applications in production using Python, Javascript, SQL/NoSQL systems and frameworks. You have the education. You've earned a Bachelor's degree in Computer Science, Engineering, or a related field. You have experience integrating software systems with AI/ML services, Data APIs, or model endpoints. You have experience deploying applications on AWS, GCP, or Azure, ideally using Databricks, AWS SageMaker, or other AI platforms. You"ll Be Our Top Pick If: You thrive on building software that bridges complex AI models with real-world use. You enjoy working across frontend, backend, and cloud systems to deliver complete solutions. You're equally comfortable discussing user experience and data pipeline optimization. FAIR PAY AND A JUST WORKPLACE At Consumer Reports, we are committed to fair, transparent pay and we strive to provide competitive, market-informed compensation.The target salary range for this position is $100K-$120K. It is anticipated that most qualified candidates will fall near the middle of this range. Compensation for the successful candidate will be informed by the candidate's particular combination of knowledge, skills, competencies, and experience. We have three locations: Yonkers, NY, Washington, DC and Colchester, CT. We are registered to do business in and can only hire from the following states and federal district: Arizona, California, Connecticut, Illinois, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, Texas, Vermont, Virginia and Washington, DC. Salary ranges NY/California: $120K-$140K annually DMV/Massachusetts: $115K-$135K annually Colchester, CT and additional approved CR locations: $100K-$120K annually Consumer Reports is an equal opportunity employer and does not discriminate in employment on the basis of actual or perceived race, color, creed, religion, age, national origin, ancestry, citizenship status, sex or gender (including pregnancy, childbirth, related medical conditions or lactation), gender identity and expression (including transgender status), sexual orientation, marital status, military service or veteran status, protected medical condition as defined by applicable state or local law, disability, genetic information, or any other basis protected by applicable federal, state or local laws. Consumer Reports will provide you with any reasonable assistance or accommodation for any part of the application and hiring process.

Site Name: UK - Hertfordshire- Stevenage, Heidelberg, Upper Providence, USA - Massachusetts- Waltham Posted Date: Jan 23 2026 Company Overview At GSK, we have bold ambitions for patients, aiming to positively impact the health of 2.5 billion people by the end of the decade. Our R&D focuses on discovering and delivering vaccines and medicines, combining our understanding of the immune system with cutting-edge technology to transform people's lives. GSK fosters a culture ambitious for patients, accountable for impact, and committed to doing the right thing, making sure that we focus our efforts on accelerating significant assets that meet patients' needs and have the highest probability of success. GSK has kicked off 2025 with impressive growth in sales, profits, and earnings. We anticipate five major new FDA product approvals and 15 phase III/pivotal study readouts over the next two years. So far, we have secured two FDA approvals, with three more expected later this year. By uniting science, technology, and talent, we are committed to getting ahead of disease together. Job Purpose Are you looking for an opportunity to lead a Translational Data Science team within Oncology Genomics in GSK's Research Technology department and aid in the discovery and development of new cancer medicines? If so, this is the job for you. As a Director in Translational Data Science in the Oncology Genomics team you will lead, plan and coordinate computational biology and genomics projects in partnership with functions across GSK including the Oncology Research Units with the aim to discover and develop the next generation of oncology therapeutics. You will work in an inter-disciplinary environment, frequently interfacing with wet-lab and translational scientists, clinicians, statisticians, and AI/ML colleagues among others. GSK's Oncology portfolio has seen significant growth in the past years. In the late-stage setting, we have seen numerous approvals and positive Phase 3 readouts. We also have several early-stage programs aiming to enter the clinic over the years to come. Oncology is now posed to be a significant growth driver for GSK, allowing us to be ambitious for patients and continue investment into early drug discovery. To achieve these aims requires leadership in computational biology to derive decision making insights from complex oncology genetic and genomic datasets. The deadline to apply for this role is January 30th 2026. Key responsibilities: This role will provide YOU the opportunity to lead key activities to progress YOUR career. These responsibilities include some of the following: Lead and build a growing team of Oncology Computational Biologists and Genomicists to support and innovate the Oncology portfolio pipeline Contribute scientific expertise and design to multiple drug discovery or development efforts across oncology Act as a competent and recognized expert in developing and critiquing the scientific validity of research/development initiatives to drive the development and delivery of long-term scientific strategy in Oncology Genomics Individually contribute with analyses and integration of complex cancer datasets. This includes analysis of gene & protein expression (bulk + single cell + spatial), somatic mutations, copy number alterations, and structural variants Apply statistical methods and AI/machine learning algorithms to identify patterns in data, predict drug response, and discover potential biomarkers. Critically evaluate results. Conduct survival analysis to assess the impact of various factors on patient outcomes Lead the development and use of bioinformatics pipelines Serve as a recognized leader in driving technological foresight within specific scientific function or directing content of programs Lead and influence the outcome of multidisciplinary meetings including partners in therapeutic research units, translational and clinical development teams. Communicate complex scientific findings clearly to both technical and non-technical audiences. Maintain current knowledge of advancements in cancer research and computational biology. Effectively communicate findings to appropriate senior GSK internal groups Utilize your track record of effecting substantial change by applying interdisciplinary knowledge of multiple disciplines and therapeutic areas that impact discovery and/or development in oncology Apply scientific skills to influence experimental design and data interpretation that impacts across drug discovery/development Define and execute a coordinated and highly influential scientific strategy Accountable for decisions affecting major product development activities or business directives and their implementation and for recommending allocation of resources with key matrix partners Why you? Basic Qualifications: We are looking for professionals with these required skills to achieve our goals: PhD with postdoc or industry experience OR MS with extensive years of related experience in Computational Biology, Bioinformatics, Cancer Biology, or a related field. Proven track record of leadership or matrix leadership experience in Computational Biology, Cancer Biology or a related field Strong understanding of cancer biology and the drug discovery process. Proficiency in Python or R, with experience building bioinformatic workflows and documenting code with version control. Experience working with large-scale oncology datasets (e.g., TCGA, CPTAC, DepMap, PRISM) Understanding of statistical methods, machine learning and/or AIML algorithms, and survival analysis techniques. Preferred Qualifications: If you have the following characteristics, it would be a plus: Leadership with line management experience in Data Science in Oncology Research and Development in Industry, Biotech or Academic settings Expertise and experience in integrating translational and real-world clinical and 'omics data with preclinical data for target discovery, biomarker and patient selection strategies A strong publication track record and internationally recognized research experience Knowledge of multiple disciplines and therapeutic areas that impact discovery/ development policy, processes or guidelines in the pharmaceutical industry Demonstrated ability to coordinate outputs from several expertise areas to determine strategy Proven track record of effecting substantial change Ability to make decisions Expert in integration of preclinical development disciplines and commercial strategy into a full-scale product development activity Ability to influence others #LI-GSK* #HGG If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $178,200 to $297,000. If you are based in another US location, the annual base salary range is $0 to $0. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases - to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are. Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us at UKRecruitment.Adjustments@gsk.com where you can also request a call. Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a Recruitment FAQ guide. Click the Link where you will find answers to multiple questions we receive Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at https://openpaymentsdata.cms.gov/

Mavericks Wanted When was the last time you achieved the impossible? If that thought feels overwhelming, you might want to pause here, but if it sparks excitement...read on In 2015, we pioneered a "moneyball for biotech" approach, pooling projects and promising early-stage research from academia together under one financial umbrella to reduce risk and unleash innovation. This model allows science and small teams of experts to lead the way. We build bridges to groundbreaking advancements in rare disease, and develop life-changing medicines for patients with unmet needs as fast as humanly possible. Together we define white space, push boundaries and empower people to solve problems. If you're someone who defies convention, join us and work alongside some of the most respected minds in the industry. Together, we'll ask "why not?" and help reengineer the future of biopharma. What You'll Do Maverick wanted! We're seeking a Sr. Director, Data Science, Patient Identification who thrives at the frontier of machine learning/statistical modelling, healthcare data, and translational analytics. You'll develop approaches and models (AI/ML/traditional statistics) that find patients, detect disease patterns that are indicative of an undiagnosed rare disease, shape data strategies, and feed targeting engines that directly change patients' and families' lives. In this role, you'll shape and lead data-driven strategies to uncover undiagnosed patients, accelerate diagnosis, and drive smarter decisions across our rare disease portfolio. If you're passionate about using data science to drive tangible patient outcomes, this is where you belong. Responsibilities Strategic Data Science Leadership Spearhead a high-performing data science function focused on patient identification and provider targeting Identify, source, and integrate (tokenized) data assets in the pursuit of finding rare disease patients and treating HCPs across the portfolio for BrigeBio companies. Define the vision, priorities, and key success metrics for data science initiatives across multiple rare disease programs Architect scalable analytical solutions using RWD (claims, EHR, genomics, lab data, imaging, and registry sources) Define the roadmap for AI/ML innovation, balancing cutting-edge research with production-grade reliability Build and foster a collaborative, mission-driven culture grounded in an enterprise perspective (use of data and data science work across the organization), precision, urgency, and patient impact Advanced Analytics & Machine Learning Design predictive models, algorithms, and patient finding tools using real-world data (claims, EMR, lab/genomics). Apply NLP and LLM techniques to extract phenotypic signals from unstructured EMR data Pioneer new methodologies in AI/ML for patient identification, leveraging subtle clinical and diagnostic patterns. Design and execute experiments with different approaches to patient finding Build frameworks for model monitoring, retraining, and performance evaluation in real-world deployment environments Design and deploy supervised and unsupervised models for patient finding, diagnostic acceleration, and disease progression prediction. Translate complex insights into actionable strategies for field execution, engagement planning, and clinical partnerships Data Strategy & Infrastructure Drive the development of robust data pipelines, governance frameworks, and scalable model-serving infrastructure Evaluate and integrate third-party data (claims, genomics, HCP, diagnostic lab feeds) to enhance model accuracy and reach Partner with outside vendors and internal resources to operationalize analytics solutions across BridgeBio's portfolio Champion best practices in reproducibility, version control, and MLOps Cross-Functional Collaboration Partner with Commercial, Medical Affairs, and Computational Genomics teams to integrate analytic insights into decision-making Engage with KOLs and data partners to identify early clinical signals that inform algorithmic models Operational Excellence Establish program-level KPIs, dashboards, and reporting frameworks to track performance and continuously improve model accuracy Ensure compliance with HIPAA, privacy, and ethical data governance standards Manage external vendors and partnerships to expand analytic capabilities and accelerate delivery Where You'll Work 3x per week in our San Francisco Office/Palo Alto Office. Who You Are Required 10+ years of experience in data science or analytics within biotech/pharma; 3+ years in a leadership role Proven expertise in real-world data (RWD) analytics, patient identification, and segmentation across multiple therapeutic areas. Experience with large-scale real-world data (claims, EMR/EHR, lab/genomics, registry, or wearable data) Experience developing and deploying sophisticated ML/statistical models using large-scale health data. Deep expertise in building predictive and classification models using Python, R, SQL, TensorFlow, PyTorch, or equivalent tools. Strong understanding of feature engineering, model explainability, and ML pipeline automation Proven success translating analytics into actionable strategies that drive measurable patient or business outcomes Bachelor's degree in data science, computer science, statistics, or a related quantitative field Experience in rare disease analytics or patient-finding programs that supported commercial launches or diagnostic initiatives Preferred Advanced degree (PhD, MS, MPH) in data science, biostatistics, computer science, or related field Familiarity with generative AI, LLMs, or graph-based learning applied to healthcare or biomedical data Rewarding Those Who Make the Mission Possible We have high expectations for our team members. We make sure those working hard for patients are rewarded and cared for in return. Financial Benefits: Market leading compensation 401K with 100% employer match on first 3% & 50% on the next 2% Employee stock purchase program Pre-tax commuter benefits Referral program with $2,500 award for hired referrals Health & Wellbeing: Comprehensive health care with 100% premiums covered - no cost to you and dependents Mental health support via Spring Health (6 therapy sessions & 6 coaching sessions) Hybrid work model - employees have the autonomy in where and how they do their work Unlimited flexible paid time off - take the time that you need Paid parental leave - 4 months for birthing parents & 2 months for non-birthing parents Flex spending accounts & company-provided group term life & disability Subsidized lunch via Forkable on days worked from our office Skill Development & Career Paths: People are part of our growth and success story - from discovery to active drug trials and FDA pipelines, there are endless opportunities for skill development and internal mobility We provide career pathing through regular feedback, continuous education and professional development programs via LinkedIn Learning, LifeLabs, Spring Health & BetterUp Coaching We celebrate strong performance with financial rewards, peer-to-peer recognition, and growth opportunities

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is looking for a highly analytical and data-driven Senior Product Analyst with statistical skills and a passion for data to drive improvements in technology. This role will be pivotal in leveraging data to optimize product performance, drive strategic decisions, and continuously improve our user experience through rigorous testing. You will delve deeply into product data, design and analyze experiments, and provide actionable insights that directly impact our product roadmap. Responsibilities: Advanced Analytics: Conduct comprehensive analysis of product usage, user behavior, and performance metrics to identify opportunities for improvement. Experimentation Design & Management: Design, implement, and manage A/B tests, causal analysis and other experiments. Define clear hypotheses, target segments, and success metrics. Experimentation Analysis: Analyze experiment results using statistical methods, providing detailed reports and recommendations. Identify statistically significant findings and translate them into actionable insights. KPI Definition & Tracking: Define key performance indicators (KPIs) and establish robust tracking and reporting mechanisms. Dashboarding & Visualization: Develop and maintain dashboards to visualize experiment results, key metrics, and trends, making data accessible and understandable to stakeholders. Collaboration: Work closely with product managers, engineers, designers, and machine learning scientists to implement and iterate on experiment findings and product improvements. Data Storytelling: Communicate complex data insights and experiment results clearly and compellingly to diverse audiences, including leadership. Data Integrity: Ensure data accuracy and integrity for all analysis and experimentation. Methodology Development: Contribute to the development and improvement of our experimentation methodologies and best practices. Qualifications: Bachelors Degree in Computer Science, Computer Engineering, Data Analytics, Mathematics, Statistics, Information Systems, Economics, or other quantitative discipline 6-8 years of relevant experience. Strong proficiency in data analysis, statistical modeling, and data visualization. Proven experience in designing, implementing, and analyzing A/B tests and other experiments. Solid understanding of statistical significance and hypothesis testing. SQL is a must. Python is nice to have. Any experience with Looker is also desirable. Knowledge of data science concepts and methodologies. Excellent communication and presentation skills, with the ability to explain complex data insights. Strong analytical and problem-solving skills. Experience working in a product-driven environment. Attention to detail and a commitment to data accuracy. The estimated base salary range for new hires into this role is $140,000 - 182,000 annually + commission depending on factors such as job-related skills, relevant experience, and location. We also offer a competitive benefits package, including 401(k) match, medical, dental and vision insurance; life and disability insurance; generous paid time off including vacation, sick leave, floating and fixed holidays, maternity and bonding leave; EAP, other wellbeing resources; and much more. #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

Data Science Graduate This role has been designed as 'Hybrid' with an expectation that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today's complex world. Our culture thrives on finding new and better ways to accelerate what's next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: This requestion may be classified as on desk or hybrid depending on location and role. Job Family Definition: Designs, develops and applies programs, methodologies and systems based on advanced analytic models (e.g. advanced statistics, operations research, computer science, process) to transform structured and unstructured data into meaningful and actionable information insights that drive decision making. Uses visualization techniques to translate analytic insights into understandable business stories (eg. descriptive, inferential and predictive insights). Embeds analytics into client's business processes and applications. Combines business acumen and scientific methods to solve business problems. Management Level Definition: Contributes to assignments of limited scope by applying technical concepts and theoretical knowledge acquired through specialized training, education, or previous experience. Acts as team member by providing information, analysis and recommendations in support of team efforts. Exercises independent judgment within defined parameters. Responsibilities: Participates in the analysis and validation of data sets/solutions/user experience. Aids in the development, enhancement and maintenance of a client's metadata based on analytic objectives. May load data into the infrastructure and contributes to the creation of the hypothesis matrix. Prepares a portion of the data for the Exploratory Data Analysis (EDA) / hypotheses. Contributes to building models for the overall solution, validates results and performance. Contributes to the selection of the model that supports the overall solution. Supports the research, identification and delivery of data science solutions to problems. Supports visualization of the model's insights, user experience and configuration tools for the analytics model. Education and Experience Required: Bachelor´s degree in Data Science, Statistics, Operations Research, Computer Science or equivalent. Typically 0-2 years experience. Knowledge and Skills: Basic knowledge of data science methodologies. Basic understanding of business requirements and data science objectives. Basic data mapping, data transfer and data migration skills. Basic understanding of analytics software (eg. R, SAS, SPSS, Python). Basic knowledge of machine learning, data integration, and modeling skills and ETL tools (eg. Informatica, Ab Initio, Talend). Basic communication and presentation skills. Basic data knowledge of relevant data programming languages. Basic knowledge of data visualization techniques. Additional Skills: What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have - whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates #grads Job: Engineering Job Level: TCP_01 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. United States of America: Annual Salary USD 71,700 - 145,300 in California // 62,900 - 145,300 in Texas Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity. Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE's attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Bully Pulpit International is an outcomes agency made up of strategists, data scientists, and artists. We come from politics, brands, and government and we communicate without barriers and measure what matters. We have more than 350 team members in six countries and thirteen offices - Berlin, Brussels, Chicago, D.C., London, Los Angeles, New York, Oslo, San Francisco, and Zürich. We apply our unique expertise across strategic communications, public affairs, research, and digital marketing to create sophisticated and customized strategies that make change possible for both American and European clients. Salary range: $125,000 - $165,000 Location: Expectation to work from DC, New York, Chicago, SF or LA offices at least 3 days a week The Impact You Will Make In this role, you'll oversee analytics and data science work across some of our biggest clients and help develop new data-driven solutions to power more effective campaigns across advertising and strategic communications. You'll lead targeting and measurement work across the entire lifecycle of campaigns, managing the work from our data science team and serving as a strategic counselor to both internal teams and our clients. You'll use audience data to define the right audiences for media campaigns to target, integrate findings from message research into our analytics approach, use survey data from our Vantage product to understand what works to persuade people in those campaigns, and work with Decibel, our competitive tracking product, to help our clients understand what their peers and competitors are doing and saying. You'll also lead projects that bring new capabilities or advance existing capabilities using analytics like predictive analytics and modeling. You'll evaluate new data sources, map them to business problems, and use them to find new ways to power our work across advertising and strategic communications. Alongside that work, you'll help set the pace for our team on using LLMs and other AI tools to help us work smarter and faster. What the Day-to-Day Looks Like Manage and oversee targeting, measurement, and competitive intelligence work across multiple clients, overseeing the team members executing the work and driving a clear, actionable perspective on how to improve campaigns Act as a strategic partner to our clients and internal teams, synthesizing data from our work and other sources to set, measure, and optimize campaign strategy and translating complex methodologies and insights into digestible client-ready deliverables Lead projects that use machine learning / predictive modeling and other analytics tools to improve our product offering, working with our Labs team Evaluate new data sources and tools and work with our Labs team to implement them to improve our work Experiment with new tools like generative AI to responsibly improve the depth and efficiency of our current workflows and identify opportunities to improve them Partner with other internal teams to make our work more actionable and interpretable

Varo is an entirely new kind of bank. All digital, mission-driven, FDIC insured and designed for the way our customers live their lives. A bank for all of us. We are looking for an inspiring and technically deep Head of Data Science to lead our team in leveraging advanced analytics, machine learning, and causal inference to catalyze decision-making and propel Varo's growth. You will lead the Data Science function within Varo's comprehensive Data organization (which includes Data Analytics, Data Product Management, Data Engineering, and ML Engineering). Your team will be the strategic partner and technical engine for solving our most complex business challenges across key verticals like customer acquisition, engagement, fraud prevention, and responsible lending. What you'll be doing Strategic Ownership: Define, own, and drive the comprehensive Data Science roadmap (including AI/ML and causal inference) that directly translates into commercial outcomes across Varo's core business verticals. Model Innovation & Delivery: Lead the development, validation, and production deployment of custom machine learning and statistical models that are critical for decision-making. Business Partnership: Serve as a strategic data consultant to executive leaders and business stakeholders, translating ambiguous commercial problems into rigorous analytical frameworks and actionable solutions. Data Integrity & Risk: Work closely with Data Engineering and Product teams to ensure the quality, accessibility, and lineage of new data sources. Ensure all models and analyses adhere to Varo's risk framework and regulatory requirements for fairness and transparency. Operational Excellence: Establish and own the ML Model Performance Monitoring processes, ensuring deployed models maintain accuracy and business impact over time and are governed appropriately. Team Leadership & Mentorship: Attract, hire, mentor, and coach a high-performing team of Data Scientists, setting a high bar for technical rigor, business acumen, and cross-functional collaboration. You'll bring the following required skills and experiences 8+ years of experience in Data Science, Applied Science, or a related quantitative field. Deep Domain Expertise: Proven track record of delivering measurable business impact in the lending space. Technical Fluency: Expert-level proficiency in Python and its scientific computing stack (Pandas, Scikit-learn, PyTorch/TensorFlow). Proven ability to apply a wide range of statistical methods, machine learning algorithms, and causal inference techniques to large, real-world datasets. Data Ecosystem Experience: Hands-on experience working with distributed data and computing tools (e.g., Spark, Hive) and cloud web services (e.g., AWS, GCP, or Azure). Leadership Acumen: Demonstrated ability to thrive in a fast-paced environment, attract high-quality talent, and drive a data-informed culture. $250,000 - $300,000 a year For cash compensation, we set standard ranges for all US-based roles based on function, level, and geographic location, benchmarked against similar-stage growth companies. Per applicable law, the salary range for this role is $250,000 - $300,000. Final offer amounts are determined by multiple factors as well as candidate experience and expertise and may vary from the identified range. This role is also eligible for a bonus, equity, and competitive benefits. We recognize not everyone will have all of these requirements. If you meet most of the criteria above and you're excited about the opportunity and willing to learn, we'd love to hear from you! About Varo Varo launched in 2017 with the vision to bring the best of fintech into the regulated banking system. We're a new kind of bank - all-digital, mission-driven, FDIC-insured, and designed around the modern American consumer. As the first consumer fintech to be granted a national bank charter in 2020, we make financial inclusion and opportunity for all a reality by empowering everyone with the products, insights, and support they need to get ahead. Through our core product offerings and suite of customer-first features, we aim to address a broad range of consumer needs while profitably serving underserved communities that have been historically excluded from the traditional financial system. Learn more about Varo by following us: Facebook - https://www.facebook.com/varomoney Instagram - www.instagram.com/varobank LinkedIn - https://www.linkedin.com/company/varobank Varo is an equal opportunity employer. Varo embraces diversity and we are committed to building teams that represent a variety of backgrounds, perspectives, and skills. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. Beware of fraudulent job postings! Varo will never ask for payment to process documents, refer you to a third party to process applications or visas, or ask you to pay costs. Never send money to anyone suggesting they can provide work with Varo. If you suspect you have received a phony offer, please e-mail [email protected] with the pertinent information and contact information. CCPA Notice at Collection for California Employees and Applicants: https://www.varomoney.com/privacy-legal/ We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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 Product Manager, Consumer Data Science, you'll define and execute the vision for how DraftKings leverages machine learning, predictive analytics, and experimentation to personalize customer engagement across our promotional product portfolio. You'll oversee a team of product managers, drive alignment across Sportsbook, Fantasy Sports, and Casino, and collaborate with leaders in Data Science, Engineering, Marketing, and Analytics to build systems that automate and optimize how we attract, retain, and engage customers. This is a high-impact, strategic role where you'll scale foundational data science capabilities that power personalization and marketing performance across the organization. What you'll do as a Senior Product Manager, Consumer Data Science Define and drive the promotional Data Science product roadmap, spanning Sportsbook, Fantasy Sports, and Casino use cases. Lead a team of product managers across business lines, fostering prioritization, alignment, and team development. Translate business goals into structured product requirements for predictive models, segmentation logic, and experimentation frameworks. Partner with Data Science, Engineering, Analytics, and Operations to deploy machine learning systems at scale. Champion experimentation in your space-demonstrating business impact, evangelizing results, and incorporating learnings into future roadmaps. Build and evolve shared infrastructure for experimentation, model governance, and decision orchestration across verticals. Ensure end-to-end alignment from data ingestion through model deployment to drive automation, customer value, and marketing ROI. Influence DraftKings' broader data science strategy by advocating for scalable, ethical, and customer-centric applications of ML and analytics. What you'll bring Bachelor's Degree in Computer Science, Mathematics, Business, or a related field. At least 7 years of product management experience, including 2+ years leading product or data science teams. Proven success managing machine learning-powered or analytics-driven products that deliver measurable outcomes. Deep understanding of personalization strategies, lifecycle marketing, and experimentation frameworks. Strong ability to break down complex problems into scalable product strategies and data science roadmaps. Familiarity with model development workflows, large-scale data infrastructure, and deployment best practices. Exceptional communication skills, especially in distilling technical concepts for non-technical and executive stakeholders. Experience balancing long-term vision with short-term delivery in highly cross-functional, fast-paced environments. Background in sports, gaming, or consumer technology is preferred; experience in Sportsbook, Fantasy Sports, or Casino is a strong plus. 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 136,000.00 USD - 170,000.00 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.

Position: Online Course Developer - RHIN XXX Clinical Data Science and Machine Learning Location: Remote (U.S.-based only) Division: Rabb School of Continuing Studies, Brandeis University Compensation: $3,000.00 (Approx. 65 hours over 12 weeks) Brandeis University's Rabb School of Continuing Studies is seeking a skilled online course developer to design and build a new three credit asynchronous online course titled: RHIN XXX Clinical Data Science and Machine Learning. This role is for an experienced academic and curriculum strategist to serve as an Online Course Developer within Brandeis Online's graduate program. The developer will design and build asynchronous, instructor-facilitated online courses aligned with institutional learning outcomes, accreditation standards, and workforce relevance. This course will review methods for preprocessing clinical data, handling censoring and missingness, model development and validation in healthcare contexts, calibration, subgroup fairness, and clinical utility assessment. It will provide a comprehensive understanding of how clinical data science and machine learning impact healthcare data in addition to guidance on programming methods to process data. Basic programming skills (Python or R) and knowledge of statistics are strongly recommended prior to enrollment in the course. Responsibilities: The development of an online asynchronous course entails the creation and/or selection of elements as outlined in the Brandeis Online Course Standards. Required components include a Brandeis-compliant syllabus, instructor-created materials informed by current industry knowledge, learning objects, and applied assignments and assessments aligned to course and program outcomes. The Developer is responsible for the substantive content and pedagogical strategies of the course and agrees to uphold Brandeis's academic standards and online course development guidelines. Throughout the design process, the Developer will collaborate with Brandeis Online staff, adhere to technical requirements for LMS integration, and meet project milestones. Course drafts will be submitted at designated intervals for feedback, and final approval will be contingent upon a comprehensive design review by a Learning Designer, and Brandeis Online. Qualifications: Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Health Informatics, or a related field. Minimum of 5 years professional experience in an analytics or leadership role with a focus on machine learning and using data science to improve healthcare outcomes. Strong knowledge of statistical analysis, programming languages (e.g. Python, R), and data management. At least 1 year of teaching or training experience (preferably online/asynchronous). Minimum 1 year experience developing asynchronous online courses for adult learners in higher education. Proficiency with LMS platforms and digital authoring tools. Familiarity with analytical tools, collaborative platforms, and interdisciplinary teamwork. Strong communication, organization, and independent work skills. Familiarity with curriculum design, accreditation standards, and graduate-level rigor. Ability to translate interdisciplinary content into engaging, accessible learning pathways. Strong writing and editing skills to produce cohesive, learner-centered experiences. Preferred Experience: Experience teaching or developing graduate-level online courses. Knowledge of global learner personas and culturally responsive pedagogy. Familiarity with Moodle LMS and digital authoring tools (e.g., H5P). Familiarity with experiential learning models and employer-aligned curriculum. Additional Details: Fully remote (U.S.-based applicants only; no visa sponsorship) 12-week development timeline (~65 total hours) Compensation: $3,000.00 Pay Range Disclosure The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements. Equal Opportunity Statement Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health, Real-World Evidence (RWE), Neuroscience 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 submissions. This role will drive strategic collaborations, champion innovation, and elevate evidence development capabilities in Neuroscience. The successful candidate will lead a multidisciplinary team and manage internal and external partnerships, including collaborations within the R&D Data Science & Digital Health teams and across the R&D stakeholders, to deliver impactful evidence to enhance R&D success and patient impact. Other key responsibilities are as follows: Lead and mentor a high-performing team of RWE scientists to deliver end-to-end evidence generation-from data feasibility and study design to analysis and presentation. Shape and execute strategic RWE initiatives in neuroscience, aligning with R&D priorities. Drive internal and external partnerships to conceptualize and deliver advanced insights and evidence solutions. Develop shared tools and best practices to foster a scalable, data-driven culture. Provide thought leadership in advanced methodologies (e.g., comparative effectiveness, external control arms, Bayesian method). Advance capabilities in integrating multi-modal data to support precision medicine approaches. Required qualifications: Ph.D. or Master's in epidemiology, biostatistics, outcomes research, health policy, or related field. 10+ years of relevant experience in biopharma, RWE consulting, or healthcare industries. 7+ years of experience as a people manager. Proven expertise in data extraction, cleaning, and analysis; strong grasp of statistical methods to mitigate bias and confounding. 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. Additional valued qualifications: Deep neuroscience domain expertise: in-depth knowledge of neurodegenerative, neuropsychiatric and ophthalmic diseases, clinical development, and trial design challenges Expertise in wearables & digital health technologies: developing and validating digital biomarkers, integrating wearables into clinical trials, designing clinical trials with decentralized elements Experience in multi-omics including designing and interpreting large-scale proteomic studies, analyzing data from large biobanks to identify causal drivers and clinical relevancy Experience integrating multi-modal data for holistic disease understanding and patient subtyping 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: