Senior data scientist jobs in New Jersey

About Us We are BetMGM. We are revolutionizing sports betting and online gaming in the United States. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Sportsbook, Borgata online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. We understand that each card in the deck plays a unique role in any given hand, just as our employees each play a unique role in accomplishing our goals as a company. We strive to create a culture of empathy where our employees feel valued, heard, and comfortable bringing their authentic selves to work. We want to build a product and a workplace that reflect the communities we serve so we approach our work fearlessly, take responsibility when we get it wrong, and ante-up again. We play to win, and we are all-in together. We were recognized as one of Glassdoor's “Best Places to Work”. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership Stay up to date on the latest advancements in data science and leverage cutting edge technology Mentor, brainstorm with, and enable others within the DS team and broader Data organization Education and Experience: Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field 5+ years of experience in data science, creating and deploying models Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. Experience with statistical modeling, A/B testing, and customer segmentation techniques. Experience implementing and overseeing ML platforms and building unified data products across multiple domains. Familiarity with online gaming platforms, trading systems, and marketing technologies. Can write production level code, understand principles of programming Leadership & Soft Skills: Strategic thinker with a proven ability to balance short-term results with long-term goals. Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels. Collaborative team player who excels in cross-functional environments. The annual salary range for this position is $118000 to $156000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support the company's responsible gambling policies, procedures and initiatives. About Our Culture Building BetMGM from the ground up takes effort, energy, and teamwork, but that's what will make leading this industry all the more satisfying. We stay focused on our main goal with the help of these four company pillars: Believe in Your Game - Take your shot! There's a freedom to explore ideas usually only start-ups are lucky enough to experience. Backed by the Best - With our expertise-merged with that of our world-class investors-we have the opportunity to take this business, and ourselves, farther than anyone has ever imagined. Do What's Right - We operate with clarity and simplicity, always doing the right thing by our customers and each other, standing shoulder to shoulder every day. Hustle Hard - Our combined commitment and ambition is what drives us to create some of the most innovative products in the industry. What We Offer As a valued employee, we're committed to giving you the resources and support you need. We offer Medical, Dental, Vision, Life Insurance, Commuter Benefits, Paid Time Off, Holidays, Employee Resource Groups and more! Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for an annual bonus. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. We understand that each card in the deck plays a unique role in any given hand, just as our employees each play a unique role in accomplishing our company goals. So, we are committed to an inclusive culture for all and empowering our employees to thrive in meaningful careers. At BetMGM, we play to win, and we are “all in” together. If your experience looks a little different from what we've identified and you think you've got what it takes, we'd love to learn more about you. If you need assistance or accommodation with your application due to a disability, you may contact us at **********************. This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

About Us We are BetMGM. We are revolutionizing sports betting and online gaming in the United States. We are a partnership between two powerhouse organizations-MGM Resorts International and Entain Group. You know our name through our exciting portfolio of brands including BetMGM Sportsbook, Borgata online, Party Casino and Party Poker. We aim to bring our ideas into action and find ways to deliver the best quality in gaming platforms. We understand that each card in the deck plays a unique role in any given hand, just as our employees each play a unique role in accomplishing our goals as a company. We strive to create a culture of empathy where our employees feel valued, heard, and comfortable bringing their authentic selves to work. We want to build a product and a workplace that reflect the communities we serve so we approach our work fearlessly, take responsibility when we get it wrong, and ante-up again. We play to win, and we are all-in together. We were recognized as one of Glassdoor's “Best Places to Work”. About the Role We are seeking a Senior Data Scientist to take a leading role in building and deploying machine learning solutions that power personalization and create measurable business impact. This is a highly visible, cross-functional position where you will work closely with product managers, ML engineers, and commercial stakeholders to transform raw data into actionable insights and scalable models. You'll leverage cutting-edge tools and techniques to segment users, predict behaviors, and optimize experiences across the customer journey. As a Senior Data Scientist, you will design and deliver advanced analytics projects from exploration and modeling through deployment and measurement of impact. You'll make technical decisions, lead collaborative problem-solving sessions, and mentor other data scientists as you raise the overall level of technical rigor within the team. This role is perfect for someone who thrives in a fast-moving environment, enjoys turning complexity into clarity, and is motivated by seeing their models drive real-world outcomes. Develop and deploy machine learning models to drive personalized recommendations and user experiences across business units Perform analysis on large and complex data sets utilizing relevant tools (SQL, Python, Spark) and provide strategic contributions Use statistical and machine learning techniques to segment users and predict future behaviors, developing automated logic and decision algorithms to deliver a better experience to the customer Lead projects from start to finish, set proper expectations, and collaborate with other data scientists, ML engineers, and product managers to communicate technical findings and support data driven decision making Oversee the integration and deployment of cross-functional and cross-organizational projects, developing process improvements and technical leadership Stay up to date on the latest advancements in data science and leverage cutting edge technology Mentor, brainstorm with, and enable others within the DS team and broader Data organization Education and Experience: Bachelor's degree needed in a highly numerate major (Computer Science, Economics, Mathematics, etc.) or a related field 5+ years of experience in data science, creating and deploying models Strong expertise in ML modeling, predictive analytics, segmentation, and recommender systems. Hands on experience working in customer personalization and a strong understanding of the technical elements required in building and maintaining advanced models Experience in experimentation to validate models' impact and ability to quantify that impact Technical Expertise: Experience with Python, SQL, Spark, Snowflake, and ML infrastructure tools like MLflow and SageMaker. Experience with statistical modeling, A/B testing, and customer segmentation techniques. Experience implementing and overseeing ML platforms and building unified data products across multiple domains. Familiarity with online gaming platforms, trading systems, and marketing technologies. Can write production level code, understand principles of programming Leadership & Soft Skills: Strategic thinker with a proven ability to balance short-term results with long-term goals. Excellent communicator with the ability to translate complex technical concepts into clear, actionable strategies for stakeholders at all levels. Collaborative team player who excels in cross-functional environments. The annual salary range for this position is $118000 to $155000. Factors which may affect starting pay within this range may include geography/market, skills, education, experience and other qualifications of the successful candidate. This position is also eligible for participation in a performance-based bonus plan. Gaming Compliance & Licensing Requirements As an online gaming company, BetMGM is required to comply with state gaming regulations which includes licensing obligations. Applicable employees must be licensed by at least one jurisdictional agency, although certain positions require licensing by multiple agencies. Failure to become licensed or maintain licensure with each agency as required for the role may result in termination of employment. Please note that the licensing process includes comprehensive background checks which may include a review of criminal records, financial history, and personal background verification. In addition, candidates must comply with and support the company's responsible gambling policies, procedures and initiatives. About Our Culture Building BetMGM from the ground up takes effort, energy, and teamwork, but that's what will make leading this industry all the more satisfying. We stay focused on our main goal with the help of these four company pillars: Believe in Your Game - Take your shot! There's a freedom to explore ideas usually only start-ups are lucky enough to experience. Backed by the Best - With our expertise-merged with that of our world-class investors-we have the opportunity to take this business, and ourselves, farther than anyone has ever imagined. Do What's Right - We operate with clarity and simplicity, always doing the right thing by our customers and each other, standing shoulder to shoulder every day. Hustle Hard - Our combined commitment and ambition is what drives us to create some of the most innovative products in the industry. What We Offer As a valued employee, we're committed to giving you the resources and support you need. We offer Medical, Dental, Vision, Life Insurance, Commuter Benefits, Paid Time Off, Holidays, Employee Resource Groups and more! Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. The position is also eligible for an annual bonus. BetMGM LLC is an Equal Opportunity Employer. We provide equal employment opportunities to all qualified individuals, regardless of race, religion, gender, gender identity, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. As an organization, we are unwavering in our commitment to maintaining a discrimination-free work environment, and fostering a culture of inclusivity, belonging and equal opportunity for all employees and applicants. We understand that each card in the deck plays a unique role in any given hand, just as our employees each play a unique role in accomplishing our company goals. So, we are committed to an inclusive culture for all and empowering our employees to thrive in meaningful careers. At BetMGM, we play to win, and we are “all in” together. If your experience looks a little different from what we've identified and you think you've got what it takes, we'd love to learn more about you. If you need assistance or accommodation with your application due to a disability, you may contact us at **********************. This job description is not an exclusive or exhaustive list of duties a person in this position may be asked to perform from time to time. #LI-HYBRID #LI-JLEE

The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: Lead the development, validation, and deployment of models that evaluate and forecast player and team performance Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court Collaborate with front office and coaching staff to translate analytical findings into decision support tools Continuously iterate on existing models and infrastructure to improve performance and usability Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: 3+ years of professional experience in a data science, research, or quantitative modeling role Expertise with modern machine learning techniques Proficiency in at least one programming language, Python and SQL experience preferred Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an “at will position”, the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: Medical/Dental/Vision/Flexible Spending Accounts Pretax Transportation Benefit Generous Parental Leave policies 401K (with a company match after 1 year of service) Generous Paid Time Off policies 13 Paid Holidays ½ Day Summer Fridays Complimentary or Discounted Sports & Concert Tickets On Site Fitness Rooms Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

WHO WE ARE: Founded by Josh Harris and David Blitzer, Harris Blitzer Sports & Entertainment (HBSE) includes in its portfolio the Philadelphia 76ers, the New Jersey Devils, Prudential Center in Newark, N.J., the Delaware Blue Coats, the Utica Comets and a variety of other sports and entertainment properties. Led by some of the best and brightest minds in the industry, HBSE positions itself as a pioneering and innovative global sports and entertainment business enterprise. We also strive to positively impact the local communities in which we operate through the powerful platform of sports. HBSE offers an energetic work environment built on collaboration, growth and a quest to excel in everything we do. HBSE owns the NBA's Philadelphia 76ers, one of the most storied franchises in American sports, having won three championships led by some of the most iconic athletes in NBA history. As part of its portfolio, Prudential Center in downtown Newark, N.J. annually hosts more than 200 games, concerts, family shows and special events and is a top-5 ranked sports and entertainment venue in the U.S. by Pollstar and Billboard. It is home to the New Jersey Devils, a renowned NHL franchise with three Stanley Cup championships and a proud, passionate fan base. OUR COMMITMENT TO INCLUSION: At HBSE, we are dedicated to hiring the best talent from the communities where we live, work and play - across all groups and levels; supporting and developing every employee to reach their potential; and creating an inclusive environment that allows team members to bring their true authentic selves to work. POSITION OVERVIEW: The Philadelphia 76ers are seeking a Senior Data Scientist to join the Basketball Research and Development team. This role supports decision-making across all departments in Basketball Operations. The ideal candidate combines a strong foundation in machine learning, predictive modeling, and data engineering. RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED, TO THE BELOW: * Lead the development, validation, and deployment of models that evaluate and forecast player and team performance * Work with large, complex, and often noisy datasets (including player-tracking and biomechanical data) to generate actionable insights on the court * Collaborate with front office and coaching staff to translate analytical findings into decision support tools * Continuously iterate on existing models and infrastructure to improve performance and usability * Stay up to date with emerging techniques in data science, sports analytics, and related academic research QUALIFICATIONS: * 3+ years of professional experience in a data science, research, or quantitative modeling role * Expertise with modern machine learning techniques * Proficiency in at least one programming language, Python and SQL experience preferred * Familiarity with data engineering or cloud platforms (AWS, GCP, or Azure) is a plus * Self-motivated, proactive, and comfortable working on open-ended or ambiguous problems * Passion for basketball and for leveraging data to improve decision-making WORKING CONDITIONS: * Travel Requirements: May be required to travel occasionally, including between HBSE's various offices; trips may require air travel and/or overnight stay. * Work Environment: This position generally requires that work primarily be performed from the Penn Medicine/Philadelphia 76ers' office in Camden, NJ, and may require attendance at events taking place at the Xfinity Mobile Arena in Philadelphia, PA. COMPENSATION AND BENEFITS: The pay range for this position at commencement of employment is expected to be between $130,000 and $200,000/year. Base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements, including eligibility for bonus. This position may be governed by an employment agreement, on a form to be provided by the Company, with an expected initial term of two years, although all terms and conditions of any such employment agreement are subject to negotiation between the selected candidate and the Company. If, instead, this position is determined to be an "at will position", the Company reserves the right to modify base pay (as well as any other discretionary payment or compensation program) at any time, including for reasons related to individual performance, Company or individual department/team performance, and market factors. The benefits package for the position may include the following, subject to the terms of the then-in-effect Company policies, plan documents and other eligibility criteria: * Medical/Dental/Vision/Flexible Spending Accounts * Pretax Transportation Benefit * Generous Parental Leave policies * 401K (with a company match after 1 year of service) * Generous Paid Time Off policies * 13 Paid Holidays * ½ Day Summer Fridays * Complimentary or Discounted Sports & Concert Tickets * On Site Fitness Rooms * Other League & Partner Discounts Details of participation in these benefit plans will be provided if a candidate receives an offer of employment. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.

Job Description About Summit: Summit Therapeutics Inc. is a biopharmaceutical oncology company with a mission focused on improving quality of life, increasing potential duration of life, and resolving serious unmet medical needs. At Summit, we believe in building a team of world class professionals who are passionate about this mission, and it is our people who drive this mission to reality. Summit's core values include integrity, passion for excellence, purposeful urgency, collaboration, and our commitment to people. Our employees are truly the heart and soul of our culture, and they are invaluable in shaping our journey toward excellence. Summit's team is inspired to touch and help change lives through Summit's clinical studies in the field of oncology. Summit has multiple global Phase 3 clinical studies, including: Non-small Cell Lung Cancer (NSCLC) HARMONi: Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR-mutated, locally advanced or metastatic non-squamous NSCLC who were previously treated with a 3rd generation EGFR TKI. HARMONi-3: Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first-line metastatic NSCLC. HARMONi-7: Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first-line metastatic NSCLC. Colorectal Cancer (CRC) HARMONi-GI3: Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy. Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than China's National Medical Products Administration (NMPA). Summit is headquartered in Miami, Florida, and has additional offices in California, New Jersey, the UK, and Ireland. Overview of Role: The Senior Manager, Data Scientist role is part of the Commercial Operations team supporting the U.S. Business Unit-which includes, but is not limited to, Sales, Marketing, and Market Access. This team enables key business functions and strategic initiatives through data integration, reporting, and advanced analytics. This position provides a unique opportunity for broad exposure across the U.S. commercial organization by contributing to the development of advanced analytics solutions. A core focus of the role will involve executing analytics on a variety of data sources-including patient claims, EDI shipment data, and unstructured datasets-as well as supporting future machine learning initiatives. Role and Responsibilities: Design and implement advanced analytical models (e.g., predictive modeling, segmentation, optimization, machine learning) using diverse datasets such as claims, outlet-level sales data, EDI, hub data, real-world data (RWD), specialty pharmacy/distributor data, EMR, and internal commercial datasets. Develop and validate algorithms to identify patient journeys, adherence patterns, and treatment pathways. Contribute to an evolving data science practice, including problem framing, data exploration and preparation, data integration, machine learning model development, and production. Create scoring frameworks (e.g., HCP opportunity models, payer access risk scores, patient conversion likelihood). Build statistical and machine learning models for both proof-of-concept and production environments using Python, R, and SQL. Partner with stakeholders across the U.S. commercial teams to translate business needs into data-driven and machine learning solutions. Communicate advantages, limitations, and implications of analytical approaches to non-technical audiences. Share technical insights and solutions through design reviews, pair programming, code/model reviews, and team knowledge-sharing sessions. Conduct exploratory analysis of new datasets, generate descriptive statistics, identify trends and insights, and propose data engineering opportunities for integration. Utilize one or more commercial or open-source analysis platforms daily (e.g., Jupyter Notebook, RStudio, Posit, Microsoft Azure, Neo4j). All other duties as assigned. Experience, Education and Specialized Knowledge and Skills: Experience in biotech, pharmaceuticals, or life sciences required Bachelor's degree in Data Science, Computer Science, Mathematics, or a related field required; advanced degree preferred. Minimum 5+ years of relevant experience with a bachelor's degree, or 3+ years with a master's degree, contributing to or executing data science projects. Industry experience in customer behavior prediction, customer journey analytics, marketing analytics, or social network analysis is preferred. Demonstrated proficiency in Python and/or R. Strong SQL skills with hands-on experience working with relational databases; experience with graph databases and Cypher is a plus. Familiarity with machine learning and statistical modeling techniques Strong communication and cross-functional collaboration skills Experience developing solutions using text analytics, customer journey analytics, marketing analytics, or recommendation engines. Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms. Knowledge of statistical and data mining techniques such as hierarchical clustering, network analysis, regression, random forests, text mining, NLP, and data visualization. The pay range for this role is $153,000-$180,000 annually. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor. The total compensation package for this position may also include bonus, stock, benefits and/or other applicable variable compensation. Summit does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact Summit's Talent Acquisition team at ********************* to obtain prior written authorization before referring any candidates to Summit.

** At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible. At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we've been doing just that-our technology helped people put a man on the moon and capture the first-ever picture of a black hole. We offer an expansive portfolio of technologies, HDDs, and platforms for business, creative professionals, and consumers alike under our Western Digital , WD and WD_BLACK Professional brands. We are a key partner to some of the largest and highest-growth organizations in the world. From enabling systems to make cities safer and more connected, to powering the data centers behind many of the world's biggest companies and hyperscale cloud providers, to meeting the massive and ever-growing data storage needs of the AI era, Western Digital is fueling a brighter, smarter future. Today's exceptional challenges require your unique skills. Together, we can build the future of data storage. **Job Description** ESSENTIAL DUTIES AND RESPONSIBILITIES + **Business Partnership & Consulting** + Serve as the primary analytics partner to HR and business leaders, understanding their challenges and translating them into analytical solutions. + Provide insights and recommendations that inform decisions on talent strategy, workforce planning, retention, and employee experience. + Build strong relationships with HRBPs, COEs, and leadership teams to ensure alignment on priorities. + Experience advising, presenting to, and serving as a thought partner to senior executives. + **Analytics & Insights** + Develop dashboards, reports, and analyses on workforce metrics (e.g., attrition, DEI, engagement, recruiting, performance). + Translate complex data into clear, actionable insights with strong storytelling and visualization. + Deliver executive-ready materials that connect people data to business outcomes. + Partner cross-functionally with analytics and technical teams to ensure data accuracy, resolve quality issues, and maintain consistent, reliable insights. + **Advanced People Analytics** + Use statistical analysis, predictive modeling, and trend forecasting to identify workforce risks and opportunities. + Partner with HR Technology and Data teams to enhance data quality, governance, and reporting capabilities. + Lead initiatives to evolve people analytics from descriptive to predictive and prescriptive insights. + **Strategy & Enablement** + Guide stakeholders in building a data-driven culture within HR and across the business. + Drive adoption of self-service analytics platforms and democratize access to people insights. **Qualifications** REQUIRED + **Education & Experience** + Bachelor's or Master's in HR, Business, Data Analytics, Industrial/Organizational Psychology, Statistics, or a related field. + 6+ years of experience in People Analytics, HR Analytics, Workforce Planning, or related fields. SKILLS + **Technical Skills** + Strong expertise in data visualization tools (e.g., Tableau, Power BI, Workday People Analytics, Visier). + Advanced Excel, SQL, or Python/R for data analysis preferred. + Understanding of HR systems (Workday, SuccessFactors, etc.) and data structures. + **Business & Consulting Skills** + Exceptional ability to translate data into business insights and recommendations. + Strong stakeholder management, influencing, and storytelling skills. + Experience in partnering with senior leaders to drive data-informed decisions **Additional Information** Western Digital is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person's gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person's assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal (************************************************************************************** " poster. Our pay transparency policy is available here (****************************************************** . Western Digital thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution. Western Digital is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@wdc.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. Based on our experience, we anticipate that the application deadline will be **12/2/2025** (3 months from posting), although we reserve the right to close the application process sooner if we hire an applicant for this position before the application deadline. If we are not able to hire someone from this role before the application deadline, we will update this posting with a new anticipated application deadline. \#LI- VV1 **Compensation & Benefits Details** + An employee's pay position within the salary range may be based on several factors including but not limited to (1) relevant education; qualifications; certifications; and experience; (2) skills, ability, knowledge of the job; (3) performance, contribution and results; (4) geographic location; (5) shift; (6) internal and external equity; and (7) business and organizational needs. + The salary range is what we believe to be the range of possible compensation for this role at the time of this posting. We may ultimately pay more or less than the posted range and this range is only applicable for jobs to be performed in California, Colorado, New York or remote jobs that can be performed in California, Colorado and New York. This range may be modified in the future. + If your position is non-exempt, you are eligible for overtime pay pursuant to company policy and applicable laws. You may also be eligible for shift differential pay, depending on the shift to which you are assigned. + You will be eligible to be considered for bonuses under **either** Western Digital's Short Term Incentive Plan ("STI Plan") or the Sales Incentive Plan ("SIP") which provides incentive awards based on Company and individual performance, depending on your role and your performance. You may be eligible to participate in our annual Long-Term Incentive (LTI) program, which consists of restricted stock units (RSUs) or cash equivalents, pursuant to the terms of the LTI plan. Please note that not all roles are eligible to participate in the LTI program, and not all roles are eligible for equity under the LTI plan. RSU awards are also available to eligible new hires, subject to Western Digital's Standard Terms and Conditions for Restricted Stock Unit Awards. + We offer a comprehensive package of benefits including paid vacation time; paid sick leave; medical/dental/vision insurance; life, accident and disability insurance; tax-advantaged flexible spending and health savings accounts; employee assistance program; other voluntary benefit programs such as supplemental life and AD&D, legal plan, pet insurance, critical illness, accident and hospital indemnity; tuition reimbursement; transit; the Applause Program; employee stock purchase plan; and the Western Digital Savings 401(k) Plan. + **Note:** No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. **Notice To Candidates:** Please be aware that Western Digital and its subsidiaries will never request payment as a condition for applying for a position or receiving an offer of employment. Should you encounter any such requests, please report it immediately to Western Digital Ethics Helpline (******************************************************************** or email ****************** .

We seek a Senior Data Scientist (Experimental Design) to join our client's Data Science Lab in a Hybrid role (2 days a week in Office). This is a Direct Hire opportunity. Hybrid Office locations: New York, Holmdel, Stamford, Bethlehem, Pittsfield Your Job As a Senior Data Scientist, you will be responsible for developing advanced data science solutions leveraging machine learning and artificial intelligence to drive enterprise-wide innovation. You will collaborate with senior executives on high-impact, high-visibility projects to deliver AI/ML solutions and create value from our data and analytic products. Your responsibilities will include developing test and learn capabilities, designing and executing experiments, creating statistical and AI/ML models, and conducting A/B testing. The Work Develop Enterprise Test and Learn Capabilities Investigating the current state of the art of experimentation practices and causal inferencing/ML techniques to identify opportunities for upscaling the methodology best practices Develop and execute advanced data-driven experiments to optimize various aspects of client's business Create test hypothesis, experiment design including KPI selection, and collect and analyze data Develop statistical and AI/ML models to analyze experimental data and derive actionable insights Apply statistical methods to assess the reliability and significance of experimental results Conduct A/B testing, multivariate tests, and other experimental methodologies to optimize customer experience, product features, marketing campaigns, and other business objectives Organize and manage data to extract insights that can be further incorporated into solution/model • Support use case development that includes initial data exploration, project/sample design, reception and processing of data, performing analysis and modeling to creation of final report/presentation Data wrangling/data matching/ETL to explore a variety of data sources, gain data expertise, perform summary analyses and prepare modeling datasets Utilize advanced statistical and AI/ML techniques to create high-performing predictive models and creative analyses to address business objectives and partner needs Identify source data and data quality checks both in model/solution development and in production Package model/solution and deployment in cooperation with Data Engineers and MLOps Develop Deep Learning/Large Language Model/Generative AI capabilities Map and mine unstructured data such as insurance contracts, medical records, sale notes, and customer servicing logs AI/ML solutions include but not limited to enhancing underwriting risk assessment, claims auto adjudication, and customer servicing Contribute to the overall Data Science organization Collaborate with cross-functional teams of other Data Science, Data Engineering, Business groups Contribute to standardization of Data Science tools, processes, and best practices Qualifications Combination of education in Statistics, Computer Science, Engineering, Applied mathematics or related field AND professional experience in Data Science or Data Analysis equaling either: PhD with 2+ years professional experience Master's degree with 4+ years professional experience 3+ years of hands-on ML modeling/development experience Strong theoretical foundations in probability & statistics, and causal inferencing techniques Proven expertise in setting up hypotheses to assess consumer behavior, in designing, implementing and deploying tests Strong programming skills in Python including PyTorch and/or Tensorflow Solid background in algorithms and a range of ML models Excellent communication skills and ability to work and collaborating cross-functionally with Product, Engineering, and other disciplines at both the leadership and hands-on level Excellent analytical and problem-solving abilities with superb attention to detail Proven leadership in providing technical leadership and mentoring to data scientists and strong management skills with ability to monitor/track performance for enterprise success Nice to Have Experience in the insurance industry Experience with big data technologies such as Hadoop, Spark, and/or cloud computing Knowledge of Agile development methodology Experience with data visualization tools such as Tableau, QlikView, and/or D3.js #DataScience #MachineLearning #ExperimentalDesign #AI #Python #PyTorch #Tensorflow #Algorithms #MLModeling #DataEngineering #DataWrangling #ETL #DataMatching #DeepLearning #LargeLanguageModel #GenerativeAI #InsuranceIndustry #BigData #Hadoop #Spark #CloudComputing #Agile #DataVisualization #Tableau #QlikView #D3js

NJ onsite About Summit Summit Therapeutics Inc is a biopharmaceutical oncology company with a mission focused on improving quality of life increasing potential duration of life and resolving serious unmet medical needs At Summit we believe in building a team of world class professionals who are passionate about this mission and it is our people who drive this mission to reality Summits core values include integrity passion for excellence purposeful urgency collaboration and our commitment to people Our employees are truly the heart and soul of our culture and they are invaluable in shaping our journey toward excellence Summits team is inspired to touch and help change lives through Summits clinical studies in the field of oncology Summit has multiple global Phase 3 clinical studies including Non small Cell Lung Cancer NSCLC HARMONi Phase 3 clinical study which was intended to evaluate ivonescimab combined with chemotherapy compared to placebo plus chemotherapy in patients with EGFR mutated locally advanced or metastatic non squamous NSCLC who were previously treated with a 3rd generation EGFR TKI HARMONi 3 Phase 3 clinical study which is intended to evaluate ivonescimab combined with chemotherapy compared to pembrolizumab combined with chemotherapy in patients with first line metastatic NSCLC HARMONi 7 Phase 3 clinical study which is intended to evaluate ivonescimab monotherapy compared to pembrolizumab monotherapy in patients with first line metastatic NSCLC Colorectal Cancer CRC HARMONi GI3 Phase 3 clinical study intended to evaluate ivonescimab in combination with chemotherapy compared with bevacizumab plus chemotherapy Ivonescimab is an investigational therapy not presently approved by any regulatory authority other than Chinas National Medical Products Administration NMPA Summit is headquartered in Miami Florida and has additional offices in California New Jersey the UK and Ireland Overview of Role The Senior Manager Data Scientist role is part of the Commercial Operations team supporting the US Business Unitwhich includes but is not limited to Sales Marketing and Market Access This team enables key business functions and strategic initiatives through data integration reporting and advanced analytics This position provides a unique opportunity for broad exposure across the US commercial organization by contributing to the development of advanced analytics solutions A core focus of the role will involve executing analytics on a variety of data sourcesincluding patient claims EDI shipment data and unstructured datasetsas well as supporting future machine learning initiatives Role and Responsibilities Design and implement advanced analytical models eg predictive modeling segmentation optimization machine learning using diverse datasets such as claims outlet level sales data EDI hub data real world data RWD specialty pharmacydistributor data EMR and internal commercial datasets Develop and validate algorithms to identify patient journeys adherence patterns and treatment pathways Contribute to an evolving data science practice including problem framing data exploration and preparation data integration machine learning model development and production Create scoring frameworks eg HCP opportunity models payer access risk scores patient conversion likelihood Build statistical and machine learning models for both proof of concept and production environments using Python R and SQLPartner with stakeholders across the US commercial teams to translate business needs into data driven and machine learning solutions Communicate advantages limitations and implications of analytical approaches to non technical audiences Share technical insights and solutions through design reviews pair programming codemodel reviews and team knowledge sharing sessions Conduct exploratory analysis of new datasets generate descriptive statistics identify trends and insights and propose data engineering opportunities for integration Utilize one or more commercial or open source analysis platforms daily eg Jupyter Notebook RStudio Posit Microsoft Azure Neo4jAll other duties as assigned Experience Education and Specialized Knowledge and Skills Experience in biotech pharmaceuticals or life sciences required Bachelors degree in Data Science Computer Science Mathematics or a related field required; advanced degree preferred Minimum 5 years of relevant experience with a bachelors degree or 3 years with a masters degree contributing to or executing data science projects Industry experience in customer behavior prediction customer journey analytics marketing analytics or social network analysis is preferred Demonstrated proficiency in Python andor RStrong SQL skills with hands on experience working with relational databases; experience with graph databases and Cypher is a plus Familiarity with machine learning and statistical modeling techniques Strong communication and cross functional collaboration skills Experience developing solutions using text analytics customer journey analytics marketing analytics or recommendation engines Proven ability to explain statistical and machine learning concepts to business stakeholders in clear and meaningful terms Knowledge of statistical and data mining techniques such as hierarchical clustering network analysis regression random forests text mining NLP and data visualization The pay range for this role is 153000 180000 annually Actual compensation packages are based on several factors that are unique to each candidate including but not limited to skill set depth of experience certifications and specific work location This may be different in other locations due to differences in the cost of labor The total compensation package for this position may also include bonus stock benefits andor other applicable variable compensation Summit does not accept referrals from employment businesses andor employment agencies in respect of the vacancies posted on this site All employment businessesagencies are required to contact Summits Talent Acquisition team at recruitingsmmttxcom to obtain prior written authorization before referring any candidates to Summit

The primary purpose of this position is to serve as the data scientist with a split portfolio between the Atlantic City office and the Austin chemistry group. Essential Duties and Responsibilities: Performs data analytics, specifically data clean-up, data processing, predictive modeling, chemometric statistical modeling and analysis, multivariate data analysis, machine learning, and/or data mining, as related to scientific data. Applies technical skills to plan and execute assigned project work including development of computational models, programming of detection algorithms, and machine learning. Maintains operational capabilities of computation assets as needed by project requirements. Leads meetings with company clients by preparing and presenting meeting materials in meetings. Appropriately annotates project developed computer code through comments and user manuals. Presents technical results through the drafting of technical reports. Presents experimental results and recommended actions at internal project meetings. Supports business development efforts as needed by drafting technical sections of proposals, providing proposal review, assessing levels of effort required to complete proposed work, and brainstorming technical solutions to client problems. Other duties as assigned. Required Knowledge, Skills & Abilities: Ability to plan sequence of experiments to answer complicated technical questions Ability to lead group of co-workers in execution of a task Software programming proficiency with Java, C, R, Python, and/or MATLAB Working knowledge of statistics as it applies to scientific data Ability to communicate technical information to non-technical audiences Team player with a positive attitude Department of Homeland Security Suitability Department of Defense Secret Clearance Working knowledge of software development practices including Agile development and Git version control Sufficient business knowledge to support proposal efforts Education/Experience: Incumbent professional should have a Ph.D. or master's degree in a physical science (preferably chemistry), statistics, or data science and significant experience in computer programming, computational modeling, or software development. Certificates and Licenses: None Clearance: The ability to obtain a Secret clearance and Department of Homeland Security suitability is required for this position. Supervisory Responsibilities: The incumbent professional may oversee junior level staff members performing tasks. Working Conditions/ Equipment: The incumbent professional is expected to work and/or be available during regular business hours. He/she should also generally be available via e-mail or phone during non-business hours as needed to address critical issues or emergencies. He/she may be required to travel on behalf of the company up to 25%. The above job description is not intended to be an all-inclusive list of duties and standards of the position. Incumbents will follow any other instructions and perform any other related duties, as assigned by their supervisor. Powered by ExactHire:160573

The Applied Innovation of AI (AI2) team is an elite machine learning group strategically located within the Chief Technology Office of JP Morgan Chase. AI2 tackle business critical priorities using innovative machine learning techniques and technologies with a focus on machine learning for Data, Software, and Technology Infrastructure. The team partners closely with stakeholders in these areas to execute projects that require machine learning development to support JPMC businesses as they grow. Strategically positioned in the Chief Technology Office, our work spans across Data, Global Technology Infrastructure and the Software Development Lifecycle (SDLC). With this unparalleled access to technology groups in the firm, the role offers a unique opportunity to explore novel and complex challenges that could profoundly transform how the bank operates. As a Sr. Machine Learning Scientist-Data Technology, you will apply sophisticated machine learning methods to a wide variety of complex tasks including data mining and exploratory data analysis and visualisation, text understanding and embedding, anomaly detection in time series and log data, large language models (LLMs) and generative AI for technology use-cases, reinforcement learning and recommendation systems. You must excel in working in a highly collaborative environment together with the business, technologists and control partners to deploy solutions into production. You must also have a passion for machine learning and invest independent time towards learning, researching and experimenting with new innovations in the field. You must have solid expertise in Deep Learning with hands-on implementation experience and possess strong analytical thinking, a deep desire to learn and be highly motivated. Job Responsibilities Research and explore new machine learning methods through independent study, attending industry-leading conferences and experimentation Develop state-of-the art machine learning models to solve real-world problems and apply it to complex business critical problems in Data, Software and Technology Infrastructure Collaborate with multiple partner teams in Data, Software and Technology Infrastructure to deploy solutions into production Drive firmwide initiatives by developing large-scale frameworks to accelerate the application of machine learning models across different areas of the business Contribute to reusable code and components that are shared internally and also externally Required qualifications, capabilities and skills PhD in a quantitative discipline (e.g. Computer Science, Electrical Engineering, Mathematics, Operations Research, Optimization, or Data Science.) with 2 years experience Or Masters with 5 years of industry or research experience in the field. Hands-on experience and solid understanding of machine learning and deep learning methods Extensive experience with machine learning and deep learning toolkits (e.g.: TensorFlow, PyTorch, NumPy, Scikit-Learn, Pandas) Extensive experience with large language models (LLMs) and accompanying tools & techniques in the LLM ecosystem (e.g. LangChain, LangGraph, Vector databases, opensource Models, RAG, Agentic Systems & Workflows, LLM fine-tuning) Scientific thinking and the ability to invent Ability to design experiments and training frameworks, and to outline and evaluate intrinsic and extrinsic metrics for model performance aligned with business goals Experience with big data and scalable model training Solid written and spoken communication to effectively communicate technical concepts and results to both technical and business audiences Curious, hardworking, and detail-oriented, and motivated by complex analytical problems Ability to work both independently and in highly collaborative team environments Preferred qualifications, capabilities, and skills Strong background in Mathematics and Statistics Experience with developing and deploying machine learning models for enterprise-scale meta data management, data governance, data quality on cloud data lakes Experience with ontology design for enterprise data for financial services domain Experience with cloud-native deployment in a large scale distributed environment Published research in areas of Machine Learning, Deep Learning or Generative AI at a major conference or journal Ability to develop and debug production-quality code Familiarity with continuous integration models and unit test development

Title Senior Data Scientist - Insurance Analytics - NJ #2812 Company is seeking a Senior Data Scientist for Insurance Analytics. You will apply your highly developed analytical skills to work on all aspects of the insurance value chain, ranging from pricing models, fraud detection, process triaging, and financial risk models to a variety of other analytics solutions. You will also communicate with customers, external partners and internal departments, and hence will have the opportunity to get to know many carriers, vendors and data sources in the insurance industry. Independently executes data analysis and modeling projects from project/sample design, reception and processing of data, performing analyses and modeling to final reports/presentations, communication of results and sales support. Utilizes advanced statistical techniques to create high-performing predictive models and creative analyses to address business objectives and client needs. Provides technical sales support, which may include various analyses and the preparation and presentation of analytical results. Tests new statistical analysis methods, software and data sources for continual improvement of quantitative solutions. Creates clear and easy to understand reports and/or PowerPoint decks for client meetings or third party collaborations. Verbally presents analysis ideas, progress and results to internal managers, external partners and customers. Communicates with internal groups on data specifications and with IT engineers on model/algorithm implementation. Follows, and may create, detailed project plans to ensure projects are completed on time and within budget. Provides high quality ongoing customer/partner support; answering questions, resolving problems and building solutions. Assures compliance with regulatory and privacy requirements during design and implementation of modeling and analysis projects. Shares knowledge within the analytics group. Graduate-level degree with concentration in a quantitative discipline such as statistics computer science, mathematics, economics, or operations research. Strong verbal and written communications skills, listening and teamwork skills, and effective presentation skills. This is absolutely essential since you will have a lot of exposure to different internal groups (data, IT, product and sales) as well as third-party partners and customers (insurance companies). 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a P&C insurance content (insurance company or insurance consulting firm) using large and complex datasets. Experience with personal lines rating plan modeling is a strong plus. Life or health insurance experience is a bonus. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Detail-oriented technical aptitude with strong logical, problem solving, and decision-making skills. Excellent organization/planning skills and talent for managing many large and complex datasets. Aptitude in performing multiple tasks and dealing with changing deadline requirements. This includes knowing when to escalate issues. Maintains a focused, flexible, organized, and proactive manner. Proficiency in Microsoft Office (Excel, Word, PowerPoint). Bottom line requirements we need notes on with candidate submittal: 1. Graduate degree with concentration in a quantitative discipline. 2. 3+ years of relevant work experience including 1 year of statistical modeling and data mining in a Property and Casualty insurance context (insurance company or insurance consulting firm). 3. Expertise in statistical modeling techniques such as linear regression, logistic regression, GLM, tree models, cluster analysis, principal components, and feature creation, validation. 4. Programming experience with SAS (STAT, macros, EM), R and other statistical software (CART, Emblem, SPSS, Matlab). Greenplum and UNIX experience is a plus. Additional Information All your information will be kept confidential according to EEO guidelines.

· Mine and translate data into meaningful insights and recommendations for the operational and strategic business units · Answer key business questions by using analytical & statistical techniques on data · Drive the collection of new data sources and the refinement of existing data sources · Analyze, interpret & communicate the results of experiments to the business units · Evaluate and modify statistical methodologies, techniques and processes · Work with cross-functional teams on the day-to-day execution of data & analytics projects and initiatives · Produce dynamic data driven analytic solutions to support the strategic goals of the company · Develop process improvements, analytical frameworks, share expertise with others, mentor and continually strive to improve overall contributions to the department Qualifications · A flexible analytic approach that allows for results at varying levels of precision · Strong background in statistical concepts including regression analysis, factoring, clustering, decision trees, A/B testing and experimental design · Experience with various data types (e.g. Relational, unstructured, Hierarchical, etc.) · The ability to communicate complex quantitative analysis in a clear, precise and actionable manner · Possess excellent verbal and written communication skills, attention to details, and the ability to multi-task · Work independently with minimal supervision · Be detail-oriented and comfortable with a fast-paced, structured, retail environment Additional Information Education/Certification: · A minimum Master's degree in Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, Economics or a related field Required Knowledge: · Expert knowledge of SAS and SQL · Expert knowledge of Advance Machine Learning (Deep learning) and Artificial Intelligence (AI) techniques and applications Experience Required: · 5 - 10 years professional experience in solving analytical problems using quantitative approaches All your information will be kept confidential according to EEO guidelines.

Title: Senior Data Scientist for a Stanford Startup Full Time Job Requirements: A minimum of three years of experience working as a data scientist Experience in working with large data sets Strong experience in machine learning Highly conversant with Bayesian type algorithms, KNN, Neural Networks, SVM, etc Experienced in applying data science techniques on multiple industries and exposure to their sets is necessary Data cleanup, and data massaging experience Hands-on experience with R or Python type languages Any experience in doing well at Kaggle type competitions is a big plus Additional Information All your information will be kept confidential according to EEO guidelines.

Being on medication is tough enough. We want to make getting it the easy part. Getting prescriptions to patients has become increasingly complex. When things get messy along the prescription journey, pharmaceutical manufacturers rely on us to untangle the process and create a clear path-allowing patients to build trusting relationships with their medication brands. We're not only committed to taking the pain out of the prescription process, but we're also devoted to bringing the brightest minds together under one roof. We bring together diverse voices-engineers, pharmacists, customer service veterans, developers, program strategists and more-all with one vision. Each perspective and experience makes ConnectiveRx better than the sum of its parts. The Data Scientist I collaborates with senior data scientists and engineering teams to support data science projects. They develop machine learning models, statistical solutions, and data-driven insights using Python, SQL, and data visualization tools. They contribute to the design and implementation of ML and DL pipelines, perform statistical analysis, and continuously enhance their technical expertise. Responsibilities Essential Functions Conduct advanced data analysis and modeling to generate insights using statistical models, machine learning, and advanced analytics to support strategic decisions. Communicate with senior executives and stakeholders by translating complex data science concepts into actionable business insights. Lead the execution of high-impact data science initiatives and collaborate with cross-functional teams to ensure successful delivery. Mentor junior data scientists and analysts by promoting best practices in coding, model development, and analytical thinking. Identify emerging trends and opportunities and influence long-term business strategy through predictive modeling and experimentation. Qualifications Education • Master's or Ph.D. degree in Data Science, Computer Science, or a related field is preferred. Experience • One to three years of experience in data science, machine learning, or statistical modeling. Knowledge • Ability to support data-driven decision-making with structured insights. • Ability to collaborate with cross-functional teams to refine analytical solutions. • Ability to apply an understanding of the healthcare and patient support services industry to data-driven recommendations. Skills • Ability to write clean, efficient Python and SQL code and understand object-oriented programming. • Ability to apply basic to intermediate algorithms such as trees, queues, and graph algorithms for data structuring. • Ability to assist in designing and building ML and DL pipelines under the guidance of senior data scientists. • Ability to perform inferential statistics, hypothesis testing, and data modeling. • Ability to use AWS tools such as Lambda, Redshift, and RDS for data management. Competencies Analytical and Logical Reasoning Uses reasoning and critical thinking to identify root causes and work through problems. Analyzes information to determine the most probable cause, collects data to extract relevant information, and evaluates and integrates findings into solutions. Communication (Oral and Written) Listens actively and communicates key issues respectfully. Shares only relevant information and adapts communication to different audiences to ensure clarity. Decision Quality Makes appropriate, informed, and timely decisions while ensuring compliance with company policies and values. Uses analysis, knowledge, experience, and judgment to make effective decisions, even without complete information. Evaluates and prioritizes factors to reach sound solutions. Travel or Physical Requirements • No travel required unless requested. Compliance Requirements Adhere to all company policies, procedures, and training consistent with ConnectiveRx's Information Security and Compliance programs, including SOC1, SOC2, PCI, and HIPAA. Maintain strict compliance with company and client policies regarding business rules, ethics, and applicable local, state, and federal laws. Compensation & Benefits: This position offers opportunities for a bonus (or commissions), with total compensation varying based on factors such as location, relevant skills, experience, and capabilities. Employees at ConnectiveRx can access comprehensive benefits, including medical, dental, vision, life, and disability insurance. The company regularly reviews and updates its health, welfare, and fringe benefit policies to ensure competitive offerings. Employees may also participate in the company's 401(k) plan, with employer contributions where applicable. Time-Off & Holidays: ConnectiveRx provides a flexible paid time off (PTO) policy for exempt employees, covering sick days, personal days, and vacations. PTO is determined based on an employee's first year of service. Employees also receive eight standard company holidays and three floating holidays annually, with prorations applied in the first year. The company remains committed to providing competitive benefits and reserves the right to modify employee offerings, including PTO, STO, and holiday policies, in accordance with applicable laws and regulations. Posted Salary Range USD $72,500.00 - USD $105,600.00 /Yr.

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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Mirage is the leading AI short-form video company. We're building full-stack foundation models and products that redefine video creation, production and editing. Over 20 million creators and businesses use Mirage's products to reach their full creative and commercial potential. We are a rapidly growing team of ambitious, experienced, and devoted engineers, researchers, designers, marketers, and operators based in NYC. As an early member of our team, you'll have an opportunity to have an outsized impact on our products and our company's culture. Our Products Captions Mirage Studio Our Technology AI Research @ Mirage Mirage Model Announcement Seeing Voices (white-paper) Press Coverage TechCrunch Lenny's Podcast Forbes AI 50 Fast Company Our Investors We're very fortunate to have some the best investors and entrepreneurs backing us, including Index Ventures, Kleiner Perkins, Sequoia Capital, Andreessen Horowitz, Uncommon Projects, Kevin Systrom, Mike Krieger, Lenny Rachitsky, Antoine Martin, Julie Zhuo, Ben Rubin, Jaren Glover, SVAngel, 20VC, Ludlow Ventures, Chapter One, and more. Please note that all of our roles will require you to be in-person at our NYC HQ (located in Union Square) We do not work with third-party recruiting agencies, please do not contact us About the Role: As a member of our Data Science staff, you'll own end-to-end measurement by defining north-star metrics, architecting rigorous experiments, and converting insights into roadmap-shaping decisions. You'll partner with Product, Design, and Engineering to elevate instrumentation and data quality and deliver quantified recommendations that improve activation, engagement, retention, and revenue. Key Responsibilities: * Lead analysis and exploration to uncover trends in product and user behavior and prioritize the highest leverage opportunities * Design and evaluate rigorous A/B tests and set success criteria and power and guardrails and deliver clear post experiment readouts * Collaborate with cross functional leaders to define core metrics and establish data driven goals for product experimentation * Develop and maintain analytical models and reproducible pipelines that support full funnel analytics * Apply statistical techniques to identify patterns and opportunities in large datasets and quantify expected impact and risk * Create executive ready visualizations and dashboards that drive alignment and action among stakeholders * Embed with designers and engineers to guide instrumentation and ensure data informed decisions throughout the product lifecycle * Provide recommendations to improve user experience and conversion and overall product performance and track realized impact * Stay current on industry trends and emerging technologies in analytics and introduce pragmatic improvements to tools and methods Requirements: * 5+ years as a data scientist or in a similar role with a focus on product analytics * High proficiency in SQL and either Python or R for data manipulation, analysis, and modeling * Expertise in statistical analysis, hypothesis testing, and experimental design for A/B testing and product experimentation * In-depth knowledge of data visualization tools and techniques to effectively communicate insights and storytelling * Strong analytical thinking and problem-solving skills, with the ability to translate complex data into actionable recommendations * Strong written and verbal communication skills and the ability to partner with cross-functional teams to build a great business Bonus Points: * Master's or PhD in a quantitative field (Statistics, Mathematics, Computer Science, or related) * Full-funnel analytics experience, including data collection, cleaning, transformation, analysis, and performance measurement * Familiarity with modern data warehousing and large-scale data processing; comfortable working with very large datasets and distributed computing frameworks Benefits: * Comprehensive medical, dental, and vision plans * 401K with employer match * Commuter Benefits * Catered lunch multiple days per week * Dinner stipend every night if you're working late and want a bite! * Grubhub subscription * Health & Wellness Perks (Talkspace, Kindbody, One Medical subscription, HealthAdvocate, Teladoc) * Multiple team offsites per year with team events every month * Generous PTO policy Captions provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please note benefits apply to full time employees only.

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond. **Required Skills:** Data Scientist (Technical Leadership) Responsibilities: 1. Work with complex data sets to solve challenging problems using analytical and statistical approaches 2. Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies 3. Identify and measure success through goal setting, forecasting, and monitoring key metrics 4. Partner with cross-functional teams to inform and execute product strategy and investment decisions 5. Build long-term vision and strategy for programs and products 6. Collaborate with executives to define and develop data platforms and instrumentation 7. Effectively communicate insights and recommendations to stakeholders 8. Define success metrics, forecast changes, and set team goals 9. Support developing roadmaps and coordinate analytics efforts across teams **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 11. Mathematics, Statistics, Operations Research) 5+ years of experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab) 12. 8+ years of work experience leading analytics work in IC capacity, working collaboratively with Engineering and cross-functional partners, and guiding data-influenced product planning, prioritization and strategy development 13. Experience working effectively with and leading complex analytics projects across multiple stakeholders and cross-functional teams, including Engineering, PM/TPM, Analytics and Finance 14. Experience with predictive modeling, machine learning, and experimentation/causal inference methods 15. Experience communicating complex technical topics in a clear, precise, and actionable manner **Preferred Qualifications:** Preferred Qualifications: 16. 10+ years of experience communicating the results of analyses to leadership teams to influence the strategy 17. Masters or Ph.D. Degree in a quantitative field 18. Bachelor's Degree in an analytical or scientific field (e.g. Computer Science, Engineering, Mathematics, Statistics, Operations Research) 19. 10+ years of experience doing complex quantitative analysis in product analytics **Public Compensation:** $206,000/year to $281,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. 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**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************