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

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster® and Chamberlain® , are found in 51+ million homes, and 14 million+ people rely on the myQ® app daily. Job Summary This role will play a crucial role in supporting and advancing our business by translating data and analytics into business impact. This position is uniquely embedded within our Residential Services business unit, directly aligned to the company’s top strategic objectives and positioned to influence business strategy through hands-on partnership. The Lead Data Science Analyst is responsible for reporting and analysis capabilities to proactively generate insights that optimize strategic choices. This role collaborates with a broad group of Product Managers, Decision Intelligence, Connected Services, Marketing, and Finance stakeholders through modeling, analysis, experimentation, and data-driven recommendations that provide critical insights to drive informed decision-making. This role demands acute business acumen complemented by strong technical analytical skills. Essential Duties and Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Identify trends, opportunities, and challenges within business operations. Proactively generate hypotheses that could improve business results by leveraging data-supported analysis. Proactively produce executive-level verbal and written analyses, insights, and reports that support data-driven recommendations. Develop a deep understanding of relevant data from various data platforms. Translate complex business requirements into analytical frameworks. Apply structured testing approaches to evaluate marketing and product initiatives across channels, uncover insights, and guide strategic decision-making through rigorous data analysis. Analyze customer journeys, funnel conversion, and cohort behavior to identify growth opportunities. Utilize SQL to extract, manipulate, integrate, and analyze large datasets. Create compelling visualizations and dashboards using tools like Power BI to communicate insights to stakeholders. Ensure data accuracy and integrity in all analytics and reporting. Drive the importance of data collection and creating meaningful tests to measure incremental growth. Analyze and interpret complex data to provide actionable insights that support business objectives. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Protect Chamberlain Group’s reputation by keeping information confidential. Minimum Qualifications Education/Certifications: Bachelor’s degree in Business Analytics, Statistics, Mathematics, Econometrics, Engineering, or another related field with significant analytical coursework Experience: 5+ years of relevant work experience 3+ years of experience in an analytics role, preferably in product, marketing, or growth analytics 3+ years working with SQL or Python 2+ years of hands-on experience designing and analyzing large scale A/B tests and interpreting results in a business context 2+ years of experience building dashboards and reports in Power BI, Tableau, or other visualization tools Knowledge, Skills, and Abilities: Demonstrated aptitude distilling complex business problems into clear analytical solutions that can and will be adopted and implemented Ability to effectively lead projects from conception to conclusion, both independently and in a team environment (including working with both internal and external business partners) Strong foundation in designing, implementing, and analyzing A/B tests and other experimental methodologies to evaluate product and marketing strategies, optimize performance, and drive data-informed decision-making Exceptional SQL skills with a strong track record of working with complex datasets, including data extraction and manipulation. Strong understanding of business processes and strategic planning Strong verbal and written communication and presentation skills, with the ability to translate complex concepts into actionable business insights. Proven track record of leading projects and cross-functional teams Strong problem-solving skills and the ability to think analytically. Ability to work independently and collaboratively in a fast-paced environment. #LI-JM2 #LI-Hybrid The pay range for this position is $102,600.00 - $193,425.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We’re proud to be an Equal Opportunity Employer, and you’ll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We’re committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence Recruiting@Chamberlain.com . NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

The Company: NorthMark Strategies is a leading investment firm, combining capital, innovation, and engineering to drive long-term value. From operating complex businesses to backing breakthrough technologies, our mission is to build enduring businesses. Our team combines intelligent risk-taking, operational excellence, exceptional talent, and world-class computing capacity to create shareholder value. Our company offers a dynamic environment where individuals have the freedom to lead companies toward bold achievements by embracing innovation, leveraging technology, and fostering differentiated business strategies. Our values are Integrity, Ability, and Energy, and the company aims to hire individuals who possess those qualities. At NorthMark Strategies, we believe the future isn’t something to hope for, it’s something to build. We don’t just invest, we create. Bringing together strategic insight and technical horsepower to deliver outcomes that endure. Position Overview We are seeking a highly analytical and detail-oriented Senior Associate, Quant & Data Science to join our portfolio analytics group. Data is at the heart of our business, and we see the ability to embed data-driven insight into the fabric of daily management as a core driver of competitive advantage for the firm. As a quantitative / data science focused Senior Associate, you will be at the forefront of facilitating data-driven decision making across the business. Key Responsibilities: Develop and automate valuation and return calculations for a global multi-asset class portfolio Support the development of performance attribution frameworks to identify drivers of performance within and across various asset class portfolios Develop, enhance, and maintain quantitative models and risk management tools to measure and manage market, portfolio, and liquidity risks across both liquid and illiquid asset classes Provide technical competence in translating Excel-based models into programmatic solutions Be a motivated self-starter eager to understand performance analysis in disparate asset classes and develop programmatic solutions that drive toward a coordinated view of performance across our global enterprise Requirements: Practical experience in a finance-oriented qualitative setting in a fast-paced, dynamic environment Ability to dissect ambiguous problems and determine the appropriate analytical techniques to apply High proficiency in data extraction, data cleansing, and quantitative analysis Experience with Quantitative & Data Science for creating models Strong academic credentials with a degree in a quantitative field Experience with Python is required and other languages are a plus Experience with Pandas, NumPY, SciPy, SciKit, Matplotlib, etc. Experience in financial / investment analysis is required It is impossible to list every requirement for, or responsibility of, any position. Similarly, we cannot identify all the skills a position may require since job responsibilities and the Company’s needs may change over time. Therefore, the above job description is not comprehensive or exhaustive. The Company reserves the right to adjust, add to or eliminate any aspect of the above description. The Company also retains the right to require all employees to undertake additional or different job responsibilities when necessary to meet business needs. Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Benefits & Perks: Hybrid-Work Schedule : We provide a hybrid working schedule with 3 days a week in the office Company-Paid Lunch Stipend : Lunch is provided via GrubHub Company-Paid Benefits: 100% Employer-Paid Medical in our High Deductible Health Plan, Dental and Vision benefits for employees and their families, 16 weeks of Paid Parental Leave, Employee Assistance Program, Life insurance, Short-Term Disability and Long-Term Disability 401(k): Company will match 100% of your contributions up to 6% Optional Employee-Paid Benefits: Medical insurance in our PPO plan and a variety of other benefits such as Health Savings Accounts (with Company Contribution!), Flexible Spending Accounts, Supplemental Life Insurance, Wellhub and more. Time Off: 25 days of Paid Time Off plus 12 company holidays EQUAL OPPORTUNITY EMPLOYER NORTHMARK STRATEGIES LLC IS AN EQUAL EMPLOYMENT OPPORTUNITY EMPLOYER. THE COMPANY'S POLICY IS NOT TO DISCRIMINATE AGAINST ANY APPLICANT OR EMPLOYEE BASED ON RACE, COLOR, RELIGION, NATIONAL ORIGIN, GENDER, AGE, SEXUAL ORIENTATION, GENDER IDENTITY OR EXPRESSION, MARITAL STATUS, MENTAL OR PHYSICAL DISABILITY, AND GENETIC INFORMATION, OR ANY OTHER BASIS PROTECTED BY APPLICABLE LAW. THE FIRM ALSO PROHIBITS HARASSMENT OF APPLICANTS OR EMPLOYEES BASED ON ANY OF THESE PROTECTED CATEGORIES.

Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: The Red Alpha Data Science Internship (summer of 2025) is a thorough and pointed experience doing real-time, meaningful data science work. Throughout your time at Red Alpha, you will take on tough problems, get executive exposure, engage in out-of-the-box solutions development, and participate in technical challenges. There are no gophers here. You will be treated as a professional peer, because you are one!Red Alpha invests heavily in the training, education, and professional mentorship of our interns. Each intern is paired with a mentor during their time with RED ALPHA to ensure they are engaged and immersed in work and experiences that will help them to grow professionally and broaden their technical tool set. From technology to business, we are looking for people who can innovate, collaborate and drive Red Alpha into the next era of an already rapidly-evolving digital marketplace. You must be willing to live and work full-time in the Columbia, MD area for the duration of the internship Work Hard, Play Hard, Succeed Together! That's Red Alpha. Join Us! What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. As a Data Science Intern, you will need the following skills: You must be enrolled in an undergraduate or graduate degree program and majoring in Computer Science, Data Science, Computer Systems or a related technical discipline at an accredited higher learning institution. Experience with Python, Java, C++, R, and/or other related programming languages is required. Due to the nature of our work, customers we support and the requirements surrounding our office space, a TS/SCI with Polygraph clearance is required. The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Full-time members are eligible for our full benefits package, whereas part-time or seasonal members may receive a limited benefits package. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for this position is: $30 - $35/hr Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Job Category: Scientific/Technology All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Principal, R&D Data Science and Digital Health, Real-World Evidence (RWE) Statistics Preferred location: Titusville, NJ ; Sping House, PA ; San Diego, CA or Cambridge, MA. Remote work considered on a case by case basis Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Research and development areas encompass oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. Our goal is to help people live longer, healthier lives. We have produced and marketed many first-in-class prescription medications and are poised to serve the broad needs of the healthcare market – from patients to practitioners and from clinics to hospitals. To learn more about Janssen, one of the Pharmaceutical Companies of Johnson & Johnson, visit https://www.janssen.com/johnson-johnson-innovative-medicine. The Real-world Evidence & Advanced Analytics team within Johnson and Johnson Innovative Medicines is looking for outstanding scientists and leaders whose responsibilities include: Be a hands-on scientific and technical leader, leading a portfolio of RWE projects, developing best practices, and mentoring team members. Identify common technical requirements for RWE projects, develop and maintain a common suite of tools that enable RWE data scientists to accelerate project delivery. End-to-end expertise in RWE studies including conceptualizing research questions, data feasibility, study design, analysis, programming, and interpretation. Provide thought leadership and hands-on programming expertise for developing and applying Real-World Data (“RWD”) methodologies to mitigate observed and unobserved biases in the execution of external control arm studies, hybrid control studies, comparative effectiveness analyses, etc. Provide thought leadership and hands-on programming expertise to generate actionable insights from post-hoc RCT analyses, observational databases, and literature reviews to support regulatory agency interactions. Independently create study protocols, statistical analysis plans, and statistical programming deliverables including analysis-ready data, tables and figures Partner with the Data Science Therapeutic Area scientists to conceptualize, lead, shape and deliver Real World Evidence Required qualifications: A Ph.D. degree in epidemiology or biostatistics Expert coding skills using R, Python, or SAS At least 5 years of relevant experience within biopharma companies, RWE consulting firms, or other relevant healthcare industries Extensive hands-on experience with data extraction, cleaning, and analysis, as well as statistical methods to mitigate confounding and selection biases Expertise with multiple real-world data sources (EHR, insurance claims, registry data). Familiarity with clinical trial data structure Excellent interpersonal, communication and presentation skills Preferred qualifications: Familiarity with drug discovery and the clinical development process Subject matter knowledge in oncology, Immunology or Neuroscience Experience in regulatory-grade evidence, communicating and responding to agency reviews and comments. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #jrdds #JNJDataScience #LI-Remote #LI-GR Required Skills: Preferred Skills: The anticipated base pay range for this position is : $137,000 - $235,750 Additional Description for Pay Transparency: Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. * Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). * This position is eligible to participate in the Company’s long-term incentive program. * Employees are eligible for the following time off benefits: –* Vacation – up to 120 hours per calendar year –* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year –* Holiday pay, including Floating Holidays – up to 13 days per calendar year –* Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

Position Summary... What you'll do... Position Summary: As a Senior Manager, Data Science on the Centroid Team, you will play a pivotal role in transforming Walmart’s warehouse and distribution center simulation capabilities. You will lead the initiative to migrate our current simulation work from FlexSim to Python-based frameworks, building upon an existing proof-of-concept (MVP) model to develop robust, scalable, and extensible solutions. Working closely with process engineers, operations leaders, and cross-functional teams, you will drive improvements in operational efficiency through advanced modeling, data analysis, and scenario planning. Key Responsibilities: Lead the migration of simulation models from FlexSim to Python-based frameworks, evolving our current proof-of-concept into a scalable, production-ready solution. Design, build, and validate advanced simulation models of warehouse and distribution center operations using Python and relevant simulation libraries. Collaborate with process engineers, operations leaders, and cross-functional teams to capture requirements, map workflows, and identify improvement opportunities within warehouse processes. Analyze simulation outputs to assess the impact of process changes, automation, labor management, and layout modifications. Develop and present scenario analyses to support strategic initiatives such as capacity planning, throughput optimization, and automation investments. Work with large-scale operational datasets to calibrate, validate, and refine simulation models for accuracy and reliability. Mentor junior data scientists and analysts on simulation methodologies, best practices, and transitioning from FlexSim to Python. Communicate findings and recommendations to stakeholders at various levels, including senior leadership, through effective data storytelling and visualization. Stay current with advances in simulation, digital twin technology, and Python-based modeling for supply chain and logistics. Minimum Qualifications: Bachelor’s degree in Industrial Engineering, Operations Research, Computer Science, Data Science, or a related field. Master’s or PhD preferred. 5+ years of experience in simulation modeling, data science, or related roles, preferably in supply chain or logistics environments. Demonstrated experience with both FlexSim and Python-based simulation/modeling tools. Proven ability to lead migration or transition projects, ideally moving from proprietary software to open-source solutions. Strong analytical, problem-solving, and communication skills. Experience working with large-scale operational datasets. Ability to present complex technical concepts to non-technical audiences. Preferred Qualifications: Experience in warehouse or distribution center operations. Familiarity with digital twin technology and advanced analytics platforms. Demonstrated ability to mentor and develop junior team members. Benefits & Perks: Competitive salary and bonus eligibility Comprehensive health and wellness benefits 401(k) with company match Career development and growth opportunities Walmart associate discount At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5 years' experience in an analytics related field. Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 3 years' experience in an analytics related field. Option 3: 7 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 609 N Walton Blvd, Bentonville, AR 72712-0000, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

About Ovative Group: Ovative Group is an independent, full-funnel media, measurement, and creative firm. Leveraging our deep industry expertise, we help brands like Best Buy, Domino's, American Eagle, The Home Depot, Post, Disney, Tumi, Michael Kors, Boost Mobile, and UnitedHealth Group transform their media and measurement programs. The result? Profitable growth that speaks for itself. About the Role: T he Data En gineer role on the Marketing Science and Offerings (MSO) Team is an opportunity to take your next career step at a fast-growing company with the highest standards for talent, fun, and client success. The MSO team supports direct consultative work for clients and acts as the internal proving ground for pre-product ideas. This role blends hands-on data engineering and lightweight applied data science to enable high-quality data foundations and advanced analytics. In this role , y ou will focus on: Enabling external data source acces s at scale (e.g., buildin g and hardening API integrations with exte rnal p artne rs like Google and Amazon ) to power analytics, modeling, and reporting. Expanding learning and usage of partner clean rooms (e.g., Amazon Marketing Cloud and Meta clean rooms) in order to enable experiment ation and measurement. Contribu ting t o Joint Technical Plans (JTPs) with partners and clients, aligning on technica l approaches , deliverables, and milestones that advance Ovative’ s measurement and optimization capabilities. You will work with in a cross -functional team responsible for creating, opti miz ing , and maintaining generalizable, repeatable, and scalable data solutions. You wil l collaborate closely with b usiness s takeholders and a seasoned team of reporting analysts, data scientists and engineers throughout the data lifecycle —from ingestion through data modeling and feature engineering — in order to build ana l ytics -ready data sets . The team navigates ambiguity, asks lots of questions, learns, and executes quickly in a supportive, collaborative environment. Responsibilities of a Data Engineer - Marketing Science and Offerings: Serve as a technical contributor on a high-performance data engineering, science, and advanced analytics team, owning scope d workstreams and delivering executional excellence. Design, build, test, and deploy reliable data pipelines integrating external sources, with emphasis on APIs (e.g., authentication, pagination, rate-limit handling, backfills, schema evolution, and monitoring/alerting). Expand Ovative’s use of partner clean rooms ( e.g. Amazon Marketing Clou d, Meta cl ean ro oms): activ ate, author and optimize SQL queries , design experiments and measurement analyses, and operationalize repeatable templates. Lead or assist in the discovery of advertising data, mapping sources/structures to enable measurement-related reporting, analytics, and modeling . Identify automation opportunities across ingestion, transformations (e.g., dbt ), QA, and delivery to improve reliability, speed, and cost efficiency. Contribute to Joint Technical Plans (JTPs) with partners and clients: define technical approaches, sequence milestone s, do cument assumptions/risks, and build PoCs that unlock new Ovative o fferings. Provide technical assistance to teammates and help raise the collective expertise in APIs, clean rooms, and analytical data engineering. Follow software, security, and product engineering best practices: version control, CI/CD, code reviews, reproducibility, documentation, and testing. Explore new technologies and tools—aligned with security, enterprise architecture, and data platform guidance—to enhance marketing data solutions. Requirements : 3+ years of relevant data engineering development experience, ideally in analytics- or modeling-heavy environments. Proficiency with ETL/ELT for large data sets and building resilient API integrations. Strong SQL and Python skills; comfort with command line and working in modern data stack workflows. Preferred : Experience with cloud-based platforms (e.g., GCP, AWS, or Azure); data warehouses and big data tools (e.g., BigQuery , Databricks); and pipeline/orchestration tools (e.g., dbt , Dagster , or Airflow). Hands-on experience with advertising data platforms (e.g., Amazon Ads/AMC data exports, Google Ads API, Google Analytics Data API) and /or tools for connector management. Practical experience using partner clean rooms—especially Amazon Marketing Cloud and Meta clean rooms—including SQL development, privacy-safe joins, experiment design, audience/overlap analysis, and templating/automation. Experience contributing to Joint Technical Plans (JTPs) or similar partner/client technical roadmaps, with an ability to scope PoCs and scale pilots into production solutions. Experience creating data/table architectures for analytics and modeling (dimensional designs, feature stores, slowly changing dimensions, partitioning/clustering). Experience implementing QA processes and automation (e.g., dbt tests, Great Expectations, anomaly detection/monitoring). Familiarity integrating data models within software products and measurement platforms; understanding of marketing, analytics, and customer data domains. Familiarity with agile tooling and collaboration (JIRA, Confluence) and with code versioning (GitHub). Pay Transparency At Ovative , we offer a transparent view into three core components of your total compensation package: Base Salary, Annual Bonus, and Benefits. The salary range for this position below is inclusive of an annual bonus. Actual offers are made with consideration for relevant experience and anticipated impact. Additional benefits information is provided below. For our Data Engineer positions, our compensation ranges from $75 ,000 to $ 93 ,000, which is inclusive of a 15 % bonus. Benefits of Working at Ovative Group : We provide strong, competitive, holistic benefits that understand the importance of your life inside and out of work. Culture: Culture matters and we’ve been recognized as a Top Workplace for ten years running because of it. We demand trust and transparency from each other. We believe in doing the hard and complicated work others put off. We’re open in communication and floor plan. We’re flat – our interns sit next to VPs, our analysts work closely with senior leaders, and our CEO interacts with every single person daily. Put together, these elements help foster an environment where smart people can support each other in performing to their highest potential. Ovative is committed to fostering an inclusive environment where everyone can participate and thrive. We do not tolerate discrimination of any kind, including on the basis of race, sexual orientation, gender identity, or gender expression. Our policies reflect this commitment—for example, our medical leave benefits are inclusive of same-sex partners, ensuring equitable care and support for all families. Compensation and Insurance: We strive to hire and retain the best talent. Paying fair, competitive compensation, with a large bonus incentive, and phenomenal health insurance is an important part of this mix. We’re rewarded fairly and when the company performs well, we all benefit. Tangible amenities we enjoy: Access to all office spaces in MSP, NYC, and CHI Frequent, paid travel to our Minneapolis headquarters for company events, team events, and in-person collaboration with teams Flexible paid vacation policy 401k match program Top-notch health insurance options, inclusive of same sex partners Family formation benefits including reimbursement options for fertility, pregnancy, and parenting needs Monthly stipend for your mobile phone and data plan Sabbatical program Charitable giving via our time and a financial match program Shenanigan’s Day Working at Ovative won’t be easy, but if you like getting your hands dirty, driving results, and being surrounded by the best talent, it’ll be the most rewarding job you’ll ever have. If you think you can make us better, we want to hear from you!

Hourly Pay Range: $0.00 - $0.00 - The hourly pay rate offered is determined by a candidate's expertise and years of experience, among other factors. Position Highlights: Position: Postdoctoral Fellow-Imaging Data Science Location: Evanston, IL Full Time Hours: Monday-Friday, standard business hours Required Travel: A Brief Overview: The Center for Basic MR Research is seeking a highly motivated Postdoctoral Fellow in Imaging Data Science with expertise in MRI, preclinical models, data analysis, and deep learning. The successful candidate will contribute to cutting-edge research at the intersection of imaging and data science, focusing on developing and applying advanced imaging techniques and analysis methods. Experience in MRI and a solid understanding of preclinical models is required, and the proficiency in deep learning algorithms for imaging data interpretation is desirable. This role offers the opportunity to work in a multidisciplinary environment, collaborating with experts in imaging, computational science, and biomedical research. Our research employs a wide array of methods, including high-field MRI imaging on a Bruker 9T scanner, chronic microelectrode implantation, slice electrophysiology, computational analysis, and 2-photon imaging on several preclinical models of brain injury. The Postdoctoral Fellow will report to the Director of NMR Research. What you will do: Undergo training and assist in performing standard laboratory and research procedures, including MR imaging, following strict adherence to established procedures or research protocols Maintain necessary medical records Perform a variety of research procedures Conduct MRI experiments combined with other approaches Perform advanced data analysis Help maintain equipment Prepare publications and presentations, and assist with proposals What you will need: Education: Doctorate Medicine Required or Doctorate Biology Required or MD Medicine Required or MD Biology Required or PHD Medicine Required or PHD Biology Required Experience: 3 Years of experience in professional research laboratory Skills: Experience with preclinical models Experience with Bruker imagers Experience with behavior testing Experience with anesthesia Computer programming skills (e.g., Matlab) and data processing experience Good organizational and time management skills Benefits: Career Pathways to Promote Professional Growth and Development Various Medical, Dental, Pet and Vision options Tuition Reimbursement Free Parking Wellness Program Savings Plan Health Savings Account Options Retirement Options with Company Match Paid Time Off and Holiday Pay Community Involvement Opportunities Endeavor Health is a fully integrated healthcare delivery system committed to providing access to quality, vibrant, community-connected care, serving an area of more than 4.2 million residents across six northeast Illinois counties. Our more than 25,000 team members and more than 6,000 physicians aim to deliver transformative patient experiences and expert care close to home across more than 300 ambulatory locations and eight acute care hospitals – Edward (Naperville), Elmhurst, Evanston, Glenbrook (Glenview), Highland Park, Northwest Community (Arlington Heights) Skokie and Swedish (Chicago) – all recognized as Magnet hospitals for nursing excellence. For more information, visit www.endeavorhealth.org . When you work for Endeavor Health, you will be part of an organization that encourages its employees to achieve career goals and maximize their professional potential. Please explore our website ( www.endeavorhealth.org ) to better understand how Endeavor Health delivers on its mission to “help everyone in our communities be their best”. Endeavor Health is committed to working with and providing reasonable accommodation to individuals with disabilities. Please refer to the main career page for more information. Diversity, equity and inclusion is at the core of who we are; being there for our patients and each other with compassion, respect and empathy. We believe that our strength resides in our differences and in connecting our best to provide community-connected healthcare for all. EOE: Race/Color/Sex/Sexual Orientation/ Gender Identity/Religion/National Origin/Disability/Vets, VEVRRA Federal Contractor. #ZRNC #LI-JR2

Cytokinetics is a specialty cardiovascular biopharmaceutical company, building on its over 25 years of pioneering scientific innovations in muscle biology, and advancing a pipeline of potential new medicines for patients suffering from diseases of cardiac muscle dysfunction. We are seeking a highly motivated Intern to join our Global Supply Chain & Data Science group at Cytokinetics. Job Description: The Digital intern will engage with the Global Logistics function to enhance operational monitoring capabilities in the post-launch environment. This intern will deliver digital assets which increase the speed of Logistics decision-making, shorten the time needed to identify logistics exceptions, and reduce manual effort in Logistics reporting. The intern will primarily serve Logistics stakeholders, with secondary responsibilities in Planning, Finance, Clinical Supply Chain, Procurement, and Change Management. In accordance with team ways of working, the intern will also engage with the program management and portfolio team in order to properly register digital assets. The intern will be exposed to best-of-breed tools for data management, including Tableau, AWS Sagemaker, Postgres databases, and other technical products. They will utilize a technical skill set including SQL scripting for data modeling, Tableau visualization and dashboard building, and cloud data management. Additionally, the intern will employ softer skills such as change management, requirements gathering (translating technical work to a non-technical audience), and stakeholder presentations as the technical work is delivered to the functional teams. Requirements: The position requires a motivated individual with the ability to work independently and in a team environment. Additionally, we seek an individual with: Pursuing BS degree in Supply Chain, Industrial Engineering, Data Science or related area Proficient in data modeling using SQL; understanding of Python, R, or other scripting languages Experience with Excel and Tableau, including data organization, basic calculations, and development of dashboards and visualizations is a bonus Demonstrated ability to work collaboratively across teams and contribute to continuous improvement initiatives Strong analytical and problem-solving skills with the ability to support projects and meet defined deliverables Clear written and verbal communication skills, with the ability to summarize data and present information effectively Now is the perfect time for you to consider an Internship at Cytokinetics where you can put all of your skills to maximum use. When applying, please provide your spring break and summer availability. Cytokinetics is an Equal Opportunity Employer Pay Range: Our employees come from different backgrounds, and we celebrate those differences. We are looking for the best candidates for our open roles, but do not expect applicants to meet every qualification in order to be considered. If you are excited about what you could accomplish at Cytokinetics and believe you can add value to our team, we would love to hear from you. Please review our General Data Protection Regulation (GDPR) policy PRIOR to applying. Our passion is anchored in robust scientific thinking, grounded in integrity and critical thinking. We keep the patient front and center in all we do – all actions and decisions are in service of the patient and their caregivers. We champion integrity, ethics, doing the right thing, and being our best selves. Fraud Warning: How to Identify Impersonated Cytokinetics Job Postings and Offers Recently, there have been fraudulent employment offers being sent to candidates on behalf of Cytokinetics. Please be advised that all legitimate offers from Cytokinetics will come directly from our official email domain (Cytokinetics.com) and will only be made after completing a formal interview process. Here are some ways to check for authenticity: We do not conduct job interviews through non-standard text messaging applications We will never request personal information such as banking details until after an official offer has been accepted and verified We will never request that you purchase equipment or other items when interviewing or hiring If you are unsure about the authenticity of an offer, or if you receive any suspicious communication, please contact us directly at talentacquisition@cytokinetics.com Please visit our website at: www.cytokinetics.com Cytokinetics is an Equal Opportunity Employer

Are you a data science expert eager to shape the future of AI? Large‑scale language models are evolving from clever chatbots into powerful engines of analytical discovery. With high‑quality training data, tomorrow’s AI can democratize world‑class education, keep pace with emerging technologies, and streamline data-driven decision-making for professionals everywhere. That training data begins with you—we need your expertise to help power the next generation of AI. We’re looking for data science specialists who live and breathe machine learning, statistical modeling, data engineering, data visualization, natural language processing, time series analysis, deep learning, and algorithm development. You’ll challenge advanced language models on topics like supervised learning, unsupervised clustering, regression techniques, model evaluation metrics, feature engineering, anomaly detection, and real-world data pipelines—documenting every failure mode so we can harden model reasoning. On a typical day, you will converse with the model on project scenarios and theoretical data science questions, verify factual accuracy and logical soundness, capture reproducible error traces, and suggest improvements to our prompt engineering and evaluation metrics. A master’s or PhD in data science, computer science, statistics, or a closely related field is ideal; peer‑reviewed publications, industry projects, experience with cloud platforms, or open-source contributions signal fit. Clear, metacognitive communication—“showing your work”—is essential. Ready to turn your data science expertise into the knowledge base for tomorrow’s AI? Apply today and start teaching the model that will teach the world. We offer a pay range of $8-to- $65 per hour, with the exact rate determined after evaluating your experience, expertise, and geographic location. Final offer amounts may vary from the pay range listed above. As a contractor you’ll supply a secure computer and high‑speed internet; company‑sponsored benefits such as health insurance and PTO do not apply. • Job title: Data Science Specialist – AI Trainer• Employment type: Contract• Workplace type: Remote• Seniority level: Mid‑Senior Level

Supporting X323 Tradecraft innovation team - Experience creating analytics leveraging Access Discovery and CNE experience is required. Will need to have familiarity with AMOD query tools. 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 Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Data Science Portfolio Management Job Category: People Leader All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine Johnson & Johnson Innovative Medicine is recruiting for Senior Director, R&D Data Science & Digital Health – Neuropsychiatry. This position can be located in one of our office locations in either Cambridge, MA (preferred), Spring House, PA, Titusville, NJ, or San Diego, CA. May require approximately 25 % domestic and international travel. At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com/ . Role Summary We are seeking an experienced and visionary Senior Director to lead our data science and digital health strategy for neuropsychiatry . This role will shape and execute innovative approaches leveraging multiomics, digital health technologies, artificial intelligence, and clinical/real-world evidence (RWE) to accelerate drug discovery, development, and patient impact.You will partner closely with Neuroscience Therapeutic Area, Clinical Development, Quantitative Sciences, Regulatory and Patient Reported Outcomes as well as external collaborators to drive a precision neuroscience agenda. This position offers the opportunity to transform how we understand disease biology, identify novel endpoints, stratify patients, and deliver better outcomes for people living with neuropsychiatric disorders. Key Responsibilities Define and execute the data science and digital health strategy for neuropsychiatry , integrating computational biology, AI/ML, digital health, and clinical/RWE insights. Drive the application of multiomics (genomics, proteomics, transcriptomics, metabolomics, etc.) and integrative analytics to uncover disease mechanisms, biomarkers, and novel targets. Lead the development, validation, and regulatory engagement of digital tools and novel endpoints to enhance clinical trial design, patient monitoring, and care pathways. Champion the use of machine learning, deep learning, generative and agentic AI to accelerate patient stratification, disease modeling, and translational discovery. Partner with clinical development and medical affairs to integrate RWE into evidence generation, supporting trial optimization, regulatory submissions, and real-world impact assessment. Build strong cross-functional and external collaborations with academic groups, technology providers, regulators, and consortia to position the company at the forefront of data-driven neuroscience. Recruit, develop and inspire a diverse team of digital health scientists, RWE experts and computational neuroscientists to deliver on strategic initiatives. Qualifications Advanced degree (PhD, MD or equivalent) in neuroscience / quantitative sciences such as biomedical engineering, data science, biostatistics, computational biology or a related field is required. 10+ years of relevant industry or academic experience, with proven leadership in applying data-driven methods to drug discovery and development is required 7+ years of experience as a people manager is required Experience in clinical development with demonstrated expertise in neuropsychiatry is preferred. Excellent communication skills, with the ability to translate complex data-driven insights into clear strategies for senior stakeholders and external partners is required. Technical Expertise in as least two of the three following areas is required: 1. Proficiency in multiomics integration (e.g., genomics, transcriptomics, proteomics,) and advanced statistical/causal inference methods; 2. Expertise in applying digital health technologies (wearables, sensors, mobile platforms) and novel endpoints in clinical research. 3. Experience with large-scale clinical datasets, EHR, and real-world data and expertise in advanced modeling, longitudinal analysis, and patient stratification. Track record of scientific contributions (presentations and publications) in this field is required. Familiarity with data standards, privacy regulations, and regulatory qualification pathways is required. Knowledge of data infrastructures, development of data analysis pipelines and their implementation at scale, and state-of-the-art AI methodologies is a plus. Competence with programming and analytics environments (e.g., Python, R) with ability to guide technical teams at a strategic level is required. Demonstrated success in leading cross-disciplinary teams at the interface of data science, biology, and clinical development is required. This position currently has the option to follow a hybrid schedule of 3 days per week working on-site and 2 days per week working remotely (no fully remote option available) and can be located in one of our office locations in either Cambridge, MA, Spring House, PA, Titusville, NJ, or San Diego. May require approximately 25% travel domestic and international. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please contact us via https://www.jnj.com/contact-us/careers or internal employees contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $193,000 to $333,500. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). • Employees are eligible for the following time off benefits:• Vacation – up to 120 hours per calendar year• Sick time - up to 40 hours per calendar year• Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year• Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JNJIMRND-DS#JRDDS#LI-Hybrid

Position Summary... You will be a visionary leader and principal architect responsible for evolving Walmart's approach to marketing effectiveness. This role focuses on developing a state-of-the-art, probabilistic Media Mix Model (MMM) powered by Bayesian statistics and streamlined through innovative Agentic AI workflows. What you'll do... Pioneer Bayesian MCMC MMM: Design, implement, and productionize a scalable, Bayesian Hierarchical MMM framework (using tools like PyMC). This includes rigorous feature engineering, defining priors, implementing sophisticated MCMC sampling techniques, and developing robust methods for handling time-varying effects, diminishing returns, and competitive factors. Architect Agentic AI Workflows: Develop and deploy multi-agent systems (Agentic AI) to automate the entire measurement lifecycle. This involves automating data ingestion and cleaning, model version control, adaptive prior selection, and dynamic insight generation from the MMM results. Drive Probabilistic Forecasting & Simulation: Utilize the full posterior distribution from the Bayesian models to generate probabilistic forecasts and comprehensive scenario simulations, enabling Marketing and Finance teams to make data-driven, risk-aware investment decisions. Integrate Causal Insights: Integrate MMM output with other causal inference models (e.g., A/B tests, Geospatial Experiments, uplift models) to create a unified, holistic view of marketing performance and decompose brand vs. sales effects. Scale and Operationalize: Partner closely with Engineering teams to transition models from research prototypes to highly reliable, performant, and automatically updating production systems that serve real-time investment recommendations to marketing platforms. Influence Strategy: Communicate complex probabilistic and causal insights clearly to C-suite and Senior Leadership, translating modeling results into clear, actionable budget allocation and tactical campaign optimization strategies. What You Will Bring: A rare blend of advanced statistical expertise, full-stack machine learning engineering, and strategic leadership. Bayesian & MCMC Mastery: 2+ years focused on implementing and deploying complex casual / statistical models for business impact. Expert-level experience with Markov Chain Monte Carlo (MCMC) methods and associated libraries (e.g., PyMC ). Agentic AI & Advanced ML: Proven experience in designing and deploying Agentic AI workflows or Generative AI systems (e.g., LLMs, multi-agent frameworks) to automate and optimize data science pipelines. Deep understanding of diverse machine learning algorithms, including Deep Learning (Neural Networks, PyTorch/TensorFlow) and Reinforcement Learning concepts. Education: PhD or Masters in Computer Science, Statistics, Mathematics, or a highly quantitative field with 5+ years of relevant industry experience.At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable. For information about PTO, see https://one.walmart.com/notices .Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart. Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms. For information about benefits and eligibility, see One.Walmart . The annual salary range for this position is $110,000.00 - $220,000.00 Additional compensation includes annual or quarterly performance bonuses.Additional compensation for certain positions may also include : - Stock ㅤ ㅤ ㅤ ㅤ ‎ Minimum Qualifications... Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications. Option 1- Bachelor’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master’s degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications... Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications. Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart’s accessibility standards and guidelines for supporting an inclusive culture. Primary Location... 702 Sw 8Th St, Bentonville, AR 72716, United States of AmericaWalmart and its subsidiaries are committed to maintaining a drug-free workplace and has a no tolerance policy regarding the use of illegal drugs and alcohol on the job. This policy applies to all employees and aims to create a safe and productive work environment.

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

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Data Analytics & Computational Sciences Job Sub Function: Multi-Family Data Analytics & Computational Sciences Job Category: Professional All Job Posting Locations: Cambridge, Massachusetts, United States of America, San Diego, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Our Immunology team leads in the development of transformational medicines for immunological disorders and illnesses. You can influence where medicine is going by restoring health to millions of people living with immune diseases. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.Learn more at https://www.jnj.com/innovative-medicine Johnson and Johnson Innovative Medicine Research & Development LLC, a Johnson & Johnson company, is recruiting for a Director, R&D Data Science and Digital Health (DSDH) Immunology. The Director will report to the Executive Director, R&D Data Science and Digital Health Immunology. The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge. Position Summary: Contribute to the design and execution of a Data Science & Digital Health (DSDH) Computer Vision and Digital Health (CVDH) strategy in alignment to the Immunology Therapeutic Area (IMM TA) goals and objectives Partner with DSDH colleagues and the IMM TA to define and prioritize a portfolio of innovative medicines in development in alignment with the IMM TA strategy To successfully meet these objectives, this individual will work closely with individual clinical project teams as well as functional area partners in Translational Science, Translational Medicine, Discovery, Late Development, Market Access, Medical Affairs and other relevant functions. Responsibilities Provide strategic input into the Immunology R&D DSDH CVDH priorities ranging from individual projects to large collaborations with internal functional areas and external institutions Work closely with the broader Data Science and Digital Health (DSDH) team and Immunology Therapeutic Area (TA) / Function Data Science teams to execute on critical data science initiatives (focused on computer vision-based endpoints and digital health solutions) to support delivery of the short and long-term J&J Innovative Medicine R&D Data Science and Digital Health strategy Collaborate with Immunology TA and functions in J&J Innovative Medicine R&D, the DSDH Insights & Analytics team, and DSDH Data Platform teams to conceive, develop, and execute on data science use-cases, build a roadmap to deliver the use-cases, from test and learn to scale up deployment Develop a deep understanding of the imaging and digital health data, technical solutions and partner ecosystem, align R&D data science use cases with the key data sets and partners (internal and external) Champion, build and drive large strategic and sophisticated DSDH projects to achieve the intended impact in a timely manner Perform detailed analyses, develop high quality materials, and communicate in critical executive forums to facilitate leadership decision making Other ad hoc responsibilities in support of the DSDH team’s objectives and overall R&D objectives, as required Required Qualifications: MD, and/or PhD and/or Master’s degree in data science, computer science, bioinformatics, biomedical engineering or applied mathematics; experience in in data science, bioinformatics, computer science 6+ years of progressive professional experience in clinical/academic environment, pharmaceutical R&D, data science, computer vision, digital health, including life sciences companies, consulting firms with established healthcare Data Science and life sciences practices, and other companies in the data science ecosystem Consistent track record of collaboration and leading in a matrix organization, entrepreneurial skill, and ability to influence and engage strategic and technical partners Familiarity with data science, computer vision, digital health space. Knowledge of Immunology. Knowledge of relevant healthcare datasets, such as EHR, or insurance claims. Preferred Advanced degree (e.g., MD, PhD, MBA or equivalent) Experience delivering data science projects using predictive technologies, data mining and/or text mining Experience analyzing or handling healthcare data sets, including EHR, claims, registry data, and images Experience with data science tools and statistical programming languages, including SQL, Python, R, and others Experience with defining use cases for deep learning, foundational models, machine learning and artificial intelligence in diagnostic medical imaging and digital health sensing data Ability to travel 25%, domestic and global The primary and preferred location for this position is San Diego, CA. Consideration may be given for candidates who are or can be located near Spring House, PA; Titusville, NJ; or Cambridge, MA. This role currently follows a hybrid schedule of three days in the office and two days remotely per week (no fully remote option). Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or internal candidates contact AskGS to be directed to your accommodation resource. The anticipated base pay range for this position is $164,000 to $282,900. The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). Employees are eligible for the following time off benefits: Vacation – up to 120 hours per calendar year Sick time - up to 40 hours per calendar year Holiday pay, including Floating Holidays – up to 13 days per calendar year of Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below. https://www.careers.jnj.com/employee-benefits The compensation and benefits information set forth in this posting applies to candidates hired in the United States. Candidates hired outside the United States will be eligible for compensation and benefits in accordance with their local market. #LI-SL#JNJDataScience#JRDDS#JNJIMRND-DS#LI-Hybrid Required Skills: Preferred Skills: Advanced Analytics, Consulting, Critical Thinking, Data Analysis, Data Privacy Standards, Data Quality, Data Reporting, Data Savvy, Data Science, Data Visualization, Developing Others, Digital Fluency, Roadmapping, Statistical Computing, Strategic Thinking, Tactical Planning, Technical Credibility

Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. DataRobot’s Applied Data Science Associate program (ADSA) is designed to provide qualified individuals with the training and experience necessary to become a Customer Facing Data Scientist in approximately 6 months. This intense program is for the self-motivated and intellectually curious excited to tackle our prospects and customers toughest problems using AI/ML and GenAI. The program will offer you opportunities to learn from the world’s foremost experts in AI and apply your new found knowledge in the frontier of AI. Past graduates of this program have delivered novel applications of AI in businesses across the world and lead some of our most strategic customer engagements. Many graduates of the program now have leadership positions within DataRobot. During the training program, participants will have structured learning paired with mentoring opportunities to work with customer success teams. Participants will be expected to contribute to customer success by assisting account teams and learning the best practices in selling to customers or keeping existing customers successful with the platform. The ADSA program is centered around the Data Scientist Competencies. These are the competencies that must be developed and mastered to become a successful Data Scientist. There are 4 core competencies: Data Science (including GenAI), Product Knowledge, Sales and Solution Delivery. This position is focused on supporting DataRobot’s US Federal customer base, especially military customers, in a wide variety of AI use cases. Upon program completion you will support DataRobot Federal customers as a Customer Facing Data Scientist contributing to end-to-end AI project implementation using the DataRobot platform. This will include data preparation, model building (predictive and generative), application development, and stakeholder engagement. Key Responsibilities: Successfully conduct a 6 month structured and independent training program in order to independently support customer engagements after completion Provide DataRobot platform and data science support to clients through the duration of client engagement from presales through their times as a customer Enable customers to solve complex data science problems using DataRobot, through both direct execution and education of customers – including problem framing, data preparation, scripting, model building, model deployment, model management, and output consumption Foster an environment of autonomy where everyone is encouraged to identify and prioritize customer problems and opportunities. Influence our customers through thought leadership by using value-based messaging to translate complex technical terms into mission outcomes Work side by side with our sales, success and engineering teams to help our customers achieve their goals. Identify opportunities to expand our relationship with customers. Act internally as the voice of the customer to the Product, and Engineering, informing the direction of future product feature development Assist in developing the implementation of a Joint Success Plan (JSP) delivering services to support customers in their AI journey. Knowledge, Skills & Abilities: Bachelor’s degree in a technical field - physical sciences, engineering, computer science, statistics, economics or business analytics 3+ years of building and implementing analytics solutions for stakeholders You have excellent communication and strong customer interaction skills Excellent project management and organizational abilities Fluency with scripting in Python Professional experience building data pipelines and/or performing data preparation tasks Work location will be a hybrid of remote and on a customer site (greater Washington DC area) You may be asked to travel for customer meetings or other events Nice to have: Advanced degree Experience with supporting US Federal government organizations, especially the DoD or IC Experience with distributed/parallelized data computation Experience with geospatial data manipulation and visualization Exposure to AI/ML modeling techniques and framing data science projects for success Familiarity with consultative sales process in the data/analytics marketplace Familiarity with data platform technology integrations Experience dealing with complex customer organizations Proficiency in additional programming languages (e.g. Java, Scala, JavaScript) Citizenship and Clearance Requirements: Must be a US citizen. Must have an active Secret or Top Secret/SCI clearance The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy .

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com Job Function: Project/Program Management Group Job Sub Function: R&D Project Management Job Category: Professional All Job Posting Locations: New Brunswick, New Jersey, United States of America, Raritan, New Jersey, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America Job Description: About Johnson & Johnson Innovative Medicine: Johnson & Johnson Innovative Medicine develops treatments that improve the health of people worldwide. Our R&D spans oncology, cardiovascular and metabolic disorders, immunology, pulmonary hypertension, retinal disorders, and neuroscience. We are committed to helping people live longer, healthier lives through first-in-class medicines and transformative innovation. Learn more at Janssen Innovative Medicine. Position Summary: The Director, Data Science Strategy & Operations will play a pivotal role in driving the execution of critical initiatives for the Data Science & Digital Health (DSDH) organization and the integration of all IT and Data investments for R&D governance. This leader will oversee portfolio and project management activities (leveraging Wrike), lead a matrixed team of project managers, and ensure strategic alignment and operational excellence across the Data Science portfolio. Key Responsibilities: Strategic Leadership & Execution Support the Chief Data Science Officer and Senior Director in executing near- and long-term data science strategies. Design and implement appropriate governance for the Integrated IT roadmap for R&D Partner across the DSDH Strategy and Operations team to ensure flawless execution of Portfolio and Project Management tasks, initiatives and strategies Lead cross-functional teams to deliver on key initiatives, ensuring collaboration and alignment with internal and external partners. Provide strategic input and operational expertise, including use business case quantification and value articulation. Portfolio & Project Management Oversee the Data Science project portfolio, ensuring prioritization, resource allocation, and timely delivery of projects. Implement and optimize project management processes and best practices, including using Wrike. Develop and maintain dashboards and reporting tools to track project status, risks, and outcomes. Team Leadership Lead, mentor, and develop a team of matrixed project managers, fostering a high-performance culture. Drive change management and continuous improvement initiatives within the team and across the organization. Financial & Business Planning Partner with Finance and HR to manage budgets, headcount, and resource planning for the Data Science organization and Integrated IT Roadmap. Consolidate input from therapeutic and functional areas to ensure consistent financial planning and governance. Stakeholder Engagement Serve as a key liaison between Data Science, Therapeutic Areas, IT and other enabling functions. Communicate DSDH and Integrated R&D IT project and/or portfolio progress to senior leadership and stakeholders. Required Qualifications: Advanced degree (PhD or Master’s) in Computer Science, Statistics, Data Science, or Business-Related field, or demonstrated equivalent work experience within a multi-national pharmaceutical company. 7+ years’ experience in data science, digital health, or related fields, including significant experience in portfolio and project management. Demonstrated experience leading and developing teams of project managers. Expertise with project management tools (Wrike preferred) and methodologies. Proven ability to drive strategic initiatives and manage complex, cross-functional projects. Strong financial acumen and experience with budget management. Excellent communication, interpersonal, and leadership skills. Preferred Qualifications: Experience with healthcare datasets (EHR, claims, registries). Familiarity with the use of AI tools to improve productivity Familiarity with data visualization tools (e.g., R, Tableau, Spotfire). Experience in large matrixed organizations or consulting environments. Change management certification or training. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, please email the Employee Health Support Center (ra-employeehealthsup@its.jnj.com) or contact AskGS to be directed to your accommodation resource. #LI-GR #LI-Hybrid #JRDDS#JNJDataScience#JRD Required Skills: Preferred Skills: Agility Jumps, Business Alignment, Continuous Improvement, Mentorship, Performance Measurement, Process Control, Program Management, Project Management Methodology (PMM), Project Management Office (PMO), Project Reporting, Project Schedule, Quality Control (QC), Research and Development, Risk Management, Tactical Planning, Technical Credibility The anticipated base pay range for this position is : $160,000 - $276,000 Additional Description for Pay Transparency: y Additional Description for Pay Transparency Employees and/or eligible dependents may be eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. * Employees may be eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). * This position is eligible to participate in the Company’s long-term incentive program. * Employees are eligible for the following time off benefits: –* Vacation – up to 120 hours per calendar year –* Sick time - up to 40 hours per calendar year; for employees who reside in the State of Washington – up to 56 hours per calendar year –* Holiday pay, including Floating Holidays – up to 13 days per calendar year –* Work, Personal and Family Time - up to 40 hours per calendar year Additional information can be found through the link below.

About Us: HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names. Our People With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home. Our Impact As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen. Who You Are As Sr. Director, Data Science at HighLevel, you turn data into foresight. You lead the modeling, experimentation, and analytics disciplines that transform how the company understands customers, measures product impact, and drives growth.You see patterns in behavior, not just in data. You connect signals across millions of users to predict outcomes, optimize experiences, and guide decisions. You are equally comfortable in code and strategy, designing experiments one day and framing their business impact the next.You build high-performing teams that blend data science, applied ML, and product analytics, and you partner closely with Product, Growth, and Engineering to embed intelligence directly into the platform. You understand that data science is not a back-office function; it is how HighLevel learns, adapts, and scales. What You’ll Lead Own HighLevel’s end-to-end data science and product analytics strategy, focused on modeling, experimentation, and insight generation, built on the company’s governed data platform. Build and lead a global team spanning data science, applied ML, decision science, and product analytics, partnering closely with data engineering and platform teams to ensure scalability and reliability. Collaborate cross-functionally with Product, Growth, Marketing, and Engineering to ensure experiments, models, and insights directly inform product development, GTM decisions, and customer outcomes.Leverage the modern data stack (Snowflake, dbt, Atlan, Hex, etc.) to enable advanced analytics, causal inference, and machine learning at scale. Lead Product Analytics and Experimentation Oversee product analytics, defining how user behavior, engagement, and retention are measured, instrumented, and interpreted. Build and scale experimentation and A/B testing frameworks, ensuring statistical rigor and consistent methodology across 50+ product and marketing teams. Establish self-serve experimentation tools and centralized KPI definitions to accelerate data-driven product development.Partner with product leadership to translate analytics insights into roadmap prioritization, UX improvements, and feature impact assessments. Develop and Deploy AI & ML Solutions Design, train, and productionize predictive and prescriptive models that optimize retention, churn, pricing, lead scoring, and campaign automation. Collaborate with platform teams to build and maintain feature stores, model registries, and evaluation pipelines for reproducibility and compliance. Integrate machine learning and generative AI into the HighLevel platform to enhance personalization, automation, and user productivity. Define and monitor model performance metrics (e.g., precision, recall, uplift, business ROI) and ensure continuous retraining and quality control. Enable Data-Driven Growth Partner with GTM, Finance, and Operations to quantify the impact of models, experiments, and analytics on revenue, efficiency, and customer lifetime value. Deliver predictive dashboards, simulations, and causal analyses that complement BI reporting and drive strategic decisions.Build forecasting and optimization systems that connect directly to core business metrics like MRR, churn, LTV/CAC, and NPS. Provide the analytical backbone for IPO-readiness through measurable, model-driven insights and defensible forecasting. Drive Operational ExcellenceDefine success metrics for all data science and analytics initiatives and track performance against strategic goals Collaborate with the data platform organization to ensure model governance, lineage, and data quality are enforced within existing pipelines. Evangelize statistical literacy, experimental rigor, and causal thinking across all functions to raise decision-making maturity company-wide.Foster a culture of curiosity, reproducibility, and accountability in every analytics and modeling effort. What You’ll Bring 12+ years in data science, analytics, or ML roles, including 5+ years in senior leadership within SaaS or B2B2C companiesProven track record establishing and growing data science and product analytics teams that translate governed data into actionable models, experiments, and insights driving business growth. Expertise in Python, SQL, R, machine learning frameworks (TensorFlow, PyTorch), with strong applied experience in experimentation, causal inference, and model evaluation Proven experience leading product analytics, defining instrumentation, event taxonomies, and metric frameworks that tie directly to user behavior and product outcomes Deep understanding of A/B testing, causal inference, and experimental design at scale (50+ teams, automated frameworks) Experience operationalizing models with shared feature stores, model registries, and automated retraining pipelines in partnership with data engineering Experience developing AI-driven product features and operationalizing ML models at scaleStrong understanding of experimentation, attribution modeling, and business intelligence systems Strategic communicator with the ability to translate complex data into compelling business narrativesExperience supporting IPO readiness or large-scale data governance a major plus EEO Statement: The company is an Equal Opportunity Employer. As an employer subject to affirmative action regulations, we invite you to voluntarily provide the following demographic information. This information is used solely for compliance with government record keeping, reporting, and other legal requirements. Providing this information is voluntary and refusal to do so will not affect your application status. This data will be kept separate from your application and will not be used in the hiring decision. #LI-Remote #LI-NJ1 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.

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appea l. Job Summary: IAIC is seeking a leader to advance its pricing sophistication and capabilities. This position provides an exciting opportunity to shape the future of pricing at the company and bring structure to the organization and new ideas to life in an area of insurance that is growing and maturing like no other. Job Location: Remote - This position is remote, and you will work from a home office. Occasionally, travel to the nearest office may be for in-person activities such as team meetings, training, and culture-building events. Prefe rence given if you are located near our New York or Phoenix offices. Main Responsibilities: Increase sophistication of risk modeling to increase accuracy and minimize subsidization in pricing manual to fullest extent possible while balancing regulatory and business requirements. Partner with business to develop full-stack lifetime values (LTV) and build a company wide KPI and reporting structure to operationalize LTV in decision making. Influence design and oversee execution of exploratory data analysis to understand the relationship between data elements and insurance processes such as pricing, conversion, and retention. Lead data and risk segmentation improvements including the use of external data. Stay abreast of industry trends and advance capabilities to monitor for emerging insights. Drive continuous improvement and innovation. Support product and rate filing needs throughout the product/filing lifecycles. Lead the advancement of competitive rating infrastructure, tools, and reports to inform market positioning. Lead a small team of data scientists and/or actuaries to develop, maintain , and improve models for rating, conversion, and retention across a portfolio of products. Communicate findings and recommendations to technical and non-technical audiences through reports, presentations, and visualizations. Collaborate with actuarial, underwriting, and other stakeholders across the organization to accomplish goals and objectives . Basic Qualifications: Bachelor’s degree in Data Science , Statistics, Mathematics, Actuarial Science, or a related field . Associate or Fellowship designation in the Casualty Actuary Society or Society of Actuaries is preferred. 7+ years of experience in the insurance industry, preferably in an actuarial or data science capacity. Experience in data manipulation and statistical analysis. Experience with prominent rating software used across the insurance industry (i.e., Radar, Emblem, Earnix ) Strong oral and written communication skills . Excellent problem-solving skills, critical thinking abilities, and attention to detail. Prior people management experience preferred #LI-DNI All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following: Comprehensive full medical, dental and vision Insurance Basic Life Insurance at no cost to the employee Company paid short-term and long-term disability 12 weeks of 100% paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (FSA) Retirement savings plan Personal Paid Time Off Paid holidays and company-wide Wellness Day off Paid time off to volunteer at nonprofit organizations Pet friendly office environment Commuter Benefits Group Pet Insurance On the job training and skills development Employee Assistance Program (EAP)

With a career at The Home Depot, you can be yourself and also be part of something bigger. Position Purpose: The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations. Key Responsibilities: 50% People Management & Team Leadership- Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments 15% Program Management- Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs 25% Strategy & Business Development- Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management 10% Technical Exploration & Development- Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged Direct Manager/Direct Reports: This position reports to Director or above This position has Direct Reports and manages programs Travel Requirements: Typically requires overnight travel 5% to 20% of the time. Physical Requirements: Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles. Working Conditions: Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable. Minimum Qualifications: Must be eighteen years of age or older. Must be legally permitted to work in the United States. Demonstrated proficiency in predictive modeling, data mining and data analysis Proficient managing and growing team members in a professional setting Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting Demonstrated experience with translating high level strategy to tactical execution Preferred Qualifications: 11+ years of experience in business intelligence and analytics Previous people or project team management experience Demonstrated expertise in predictive modeling, data mining and data analysis Mastery running queries against data (preferably with Google BigQuery or SQL) Proficient with data visualization software (preferably Tableau) Mastery utilizing statistical techniques to identify key insights that help solve business problems Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP Machine Learning experience Minimum Education: The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job. Preferred Education: No additional education Minimum Years of Work Experience: 10 Preferred Years of Work Experience: No additional years of experience Minimum Leadership Experience: None Preferred Leadership Experience: None Certifications: None Competencies: Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences Develops Talent: Developing people to meet both their career goals and the organization's goals Directs Work: Provides direction, delegating and removing obstacles to get work done Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity Interpersonal Savvy: Relating openly and comfortably with diverse groups of people Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics Persuades: Using compelling arguments to gain the support and commitment of others Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies