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Position Data Science Intern - Corporate Advanced Engineering Location Auburn Hills, MI About us BorgWarner is a global product leader in delivering innovative and sustainable mobility solutions for the vehicle market. We are a company of innovators and independent thinkers that brings together talented employees, meaningful work, and amazing technology in a unique environment. At BorgWarner we constantly work towards our vision of a clean and energy-efficient world. Our Culture We believe health and safety of our employees are a top priority, we care about our local communities and the global environment. BorgWarner promotes and nurtures a diverse and inclusive environment, honors integrity, strives for excellence, commits to responsibility for our communities and the environment, and builds on the power of collaboration. Career Opportunities We manage talent as seriously as we manage our businesses and encourage you to learn about our proud history, strong culture, technologies and future vision. We offer a strong local presence and interesting global opportunities. Start your future with BorgWarner now! Job purpose As part of the Chief Technology Officer organization, the Corporate Advanced Technology Development team is dedicated to developing and demonstrating advanced mobility technologies, focusing on new growth areas with longer time horizons. We develop system-oriented solutions that shape the future of mobility through collaborations with other functional areas and business units at BorgWarner. We are seeking a highly motivated Data Science Intern to join our team. In this role, you will support the development and deployment of AI/ML solutions for proof-of-concept projects that can inform the development of future BorgWarner products. This is a hybrid role based at BorgWarner's Propulsion Technology Center (PTC) in Auburn Hills, MI that provides an opportunity to work with cutting-edge technologies and play a key role in shaping the future of sustainable mobility. If you are highly motivated, a self-starter, and passionate about innovation, we encourage you to apply. Key responsibilities Collaborate closely with engineering teams to understand challenges and requirements and provide data-driven solutions. Support machine learning model development: data preparation, feature engineering, model optimization and data visualization. Assist in model deployment, testing, and analysis of resulting performance data. Prepare comprehensive model documentation and share findings within the organization. Assist in data collection using fleet vehicles. This position requires Interns to be on-site 3 days a week. What we're looking for Currently pursuing a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. Enrolment in a graduate program (Master's or Ph.D.) in a relevant field is a plus. Demonstrated coursework or projects involving data analysis, machine learning, and statistical modelling. Proficiency in programming languages such as Python (preferred) or MATLAB. Familiarity with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch). Experience with data science tools and platforms (e.g., Jupyter Notebooks). Strong verbal and written communication skills, including the ability to effectively present findings and insights to non-technical stakeholders. Eagerness to learn and adapt to new tools, technologies, and methodologies in the rapidly evolving field of data science. What we believe Inclusion-We value diversity in people, ideas, and experiences. Integrity- We believe in transparency, authenticity, and depend on each other to deliver what we promise. Excellence- We contribute to our developments by seeking knowledge and sharing information. Responsibility- We care about our local communities and the global environment. Collaboration- We are one BorgWarner. Safety This position will adhere to Global Star Safety Program, including safety rules, practices and training as outlined in the BorgWarner PTC Safety Policy Manual, which includes the use of equipment, protective devices, or clothing that the employer requires. This individual will work in manners that stress the importance of preventing accidents and illnesses. He/she must take every precaution reasonable in the given circumstance for the protection of themselves and coworkers. In addition, he/she is responsible for reporting all injuries and/or possible dangerous situations, incidents, or occurrences to the immediate supervisor. Equal Employment Opportunity BorgWarner is an equal employment opportunity employer such that all qualified applicants will receive consideration for employment without regard to race, color, age, religion, sex, sexual orientation, gender identity/expression, national origin, disability or protected veteran status. Visa Sponsorship BorgWarner does provide sponsorship for employment visa status based on business need. However, for this role, applicants must be currently authorized to work in the United States on a full-time basis. No Unauthorized Referrals from Recruiters & Vendors Please note that BorgWarner and any of its affiliated companies does not seek or accept unsolicited resumes or offers from third party recruiters or staffing agencies associated with any published or unpublished employment opportunities. Any unsolicited information sent to BorgWarner will be considered as unencumbered and free from any fee or charge whatsoever. Only members of our Human Resources Team have the authority to engage or authorize recruiting services, which must be agreed upon before the unsolicited resume or offer is received. Join the company that is creating solutions that support a cleaner, more energy-efficient world. For more information about BorgWarner, please visit www.borgwarner.com Internal Use Only: Indirect Hourly Global Terms of Use and Privacy Statement Carefully read the BorgWarner Privacy Policy before using this website. Your ability to access and use this website and apply for a job at BorgWarner are conditioned on your acceptance and compliance with these terms. Please access the linked document by clicking here, select the geographical area where you are applying for employment, and review. Before submitting your application you will be asked to confirm your agreement with the terms. Career Scam Disclaimer: BorgWarner makes no representations or guarantees regarding employment opportunities listed on any third-party website. To protect against career scams, job applicants should take the necessary precautions when interviewing for and accepting employment positions allegedly offered by BorgWarner. Applicants should never provide their national ID numbers, birth dates, credit card numbers, bank account information or other private information when communicating with prospective employers or responding to employment opportunities online. Job applicants are invited to contact BorgWarner through BorgWarner's website to verify the authenticity of any employment opportunities.

The Mathematics, Statistics and Data Science Department of Loyola Marymount University invites applications for a tenure-track position at the Assistant Professor level beginning Fall 2026. The successful candidate will have expertise in statistics, data science, or a related field. Applicants are expected to have completed a Ph.D. or comparable terminal degree in statistics, data science, statistics education, operations research, mathematics, or a related field by August 15, 2026. The Mathematics, Statistics and Data Science Department, housed within Loyola Marymount University's College of Science and Engineering, is an inclusive community of 21 full-time faculty members and approximately 70 undergraduate mathematics majors, about half of which are statistics and data science majors, 55 minors, and 10 Master of Arts in Teaching Mathematics students. The department offers several Bachelor's degree options and minors, including both a Bachelor of Science in Statistics and Data Science and a minor in Statistics and Data Science. Faculty in the department work in many areas of pure and applied mathematics, statistics, and data science, in an atmosphere of mutual respect and collaboration. Additional information about the LMU Mathematics, Statistics and Data Science Department is available online at https://cse.lmu.edu/department/math . The Department offers two, three, and four unit courses. The normal teaching load is two to three courses per semester, averaging 9 units per semester, with a reduced teaching load in the first two years. LMU is committed to broadening the participation of students in STEM fields, and LMU's environment offers many opportunities for collaborative research, teaching, and service that actively inform and improve equity and social justice. Faculty responsibilities include teaching, advising, maintaining an active program of scholarship, and engaging in university service. Successful candidates will be dedicated to: 1) teaching a diverse student body in a transformative learning environment across a range of undergraduate courses, 2) developing a thriving research program and mentoring undergraduate students, and 3) participating in service activities at the academic, professional, and/or community levels. The department has a commitment to working towards greater diversity, equity, inclusion, and accessibility in the profession. The successful applicant will submit a statement indicating how they expect to contribute to this effort in ways that align with student-centered pedagogies, accessible mentorship practices, and the university mission. LMU provides comprehensive benefit offerings and robust support for faculty. For more information about our programs visit at https://admin.lmu.edu/hr/totalrewards/benefits/ and https://academics.lmu.edu/ofd/ which links to the latest Faculty Resource Guide. Apply online at MathJobs.Org: https://www.mathjobs.org/jobs/list/26637 . A complete application consists of the following: A cover letter highlighting your experience/interest in the position; A curriculum vitae detailing your educational background, research accomplishments, and work experience, as well as any leadership and service experience (e.g., academic, professional, community) that you believe are relevant to this position; A statement of your teaching philosophy that addresses past and/or potential contributions that would be related to LMU's mission or your overall vision for your role as a teacher-scholar; A statement of current research and your plans for establishing a thriving research program in your area of expertise at LMU, including, if applicable, how you plan to involve undergraduate students in scholarship; A statement that addresses past and/or potential contributions to promotion the success, sense of belonging, and thriving of students from a variety of lived experiences through pedagogical and mentorship practices that center diversity of thought, equity in outcomes, inclusion of students from all backgrounds, and accessible learning environments. The application of these contributions might include, but are not limited to: research, teaching and/or service that has prepared the candidate to contribute to the engagement and inclusion of diverse audiences in higher education, contributions to diverse perspectives and ways of knowing and learning, and/or research or professional experience with a specific social justice-focus on underserved communities or nations; Three letters of recommendation, at least one of which addresses the applicant's teaching. Initial review of applications will begin on October 1, 2025. For full consideration, please submit applications by October 15, 2025. Please address questions to Professor Anna Bargagliotti, Hiring Committee Chair, at Anna.Bargagliotti@lmu.edu. #HERC# #HEJ# Faculty Regular Reasonable expected salary: $97,000.00 Loyola Marymount University, a Carnegie classified R2 institution in the mainstream of American Catholic higher education, seeks outstanding applicants who value its mission and share its commitment to inclusive excellence, the education of the whole person, and the building of a just society. LMU is an equal opportunity employer committed to providing an environment free from discrimination and harassment as defined by federal, state and local law. We invite all persons in the full diversity of their being, life experience, and beliefs to apply. (Visit www.lmu.edu for more information.)

Application Deadline: September 14th, 11:59pm EST Program Overview Video Castleton Commodities International is an independent global commodities merchant. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. CCI focuses its activities on the markets it understands best, while constantly striving to expand its knowledge base and network of relationships in order to participate in new markets. Position Overview: CCI is developing a leading-edge Data Science platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Machine Learning Interns with a strong interest in quantitative analysis, particularly time series forecasting to join our Global Data Science team in Stamford, CT office. Our Machine Learning Internship provides a unique opportunity to work with fundamental market data, generating insights that support our commercial trading business. You will be responsible for analyzing time series data related to market fundamentals in the Power, Natural Gas, and Oil sectors, helping to identify key supply and demand drivers. These insights will play a vital role in forecasting price movements and supporting risk management decisions. Responsibilities: Apply mathematical and statistical knowledge to enhance existing machine learning applications and explore new solutions. Work closely with Data Scientists, Analysts, and Traders to design, implement, and optimize machine learning models for time series forecasting, including ARIMA/SARIMA, gradient boosting methods (e.g., XGBoost), LSTM networks, and linear regression-based approaches. Assist in designing and implementing end-to-end data ingestion processes, ensuring seamless data flow to investing teams. Work with desk heads, traders, and analysts to understand current data architecture, investment processes, and functional requirements for data science analysis. Contribute to identifying and back-testing new data sets, leveraging machine learning techniques to drive insights. Conduct ad hoc research on emerging project topics, including energy fundamental data, analytics trends, and best practices in big data and artificial intelligence. Qualifications: Currently pursuing a Bachelor's Degree or higher in Mathematics, Statistics, Physics, Computer Science or related technical field with a focus in Machine Learning. Expected graduation date of Winter 2026 or Spring/Summer 2027. Experience applying machine learning techniques such as regression, time series forecasting, deep learning, reinforcement learning, or predictive modeling to solve problems involving complex data patterns and market dynamics. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.) Ability to communicate and interact with a wide range of users, from very technical to non-technical backgrounds. Strong analytical skills with demonstrated attention to detail. Visit https://www.cci.com/careers/life-at-cci/ # to learn more!

About CookUnity Food has lost its soul to modern convenience. And with it, has lost the power to nourish, inspire, and connect us. So in 2018, CookUnity was founded as the first-of-its-kind platform that connects the world with the source of truly great food: chefs. Today, CookUnity delivers 35 million meals a year from the industry's best chefs to homes all over the country. Fresh. Ready-to-eat. And crafted with the passion that nourishes body and soul. Unwilling to stop there, CookUnity is expanding beyond delivery to become an ever-innovating marketplace focused on our singular mission: empower Chefs to nourish the world. If that mission has you hungry in more ways than one, you've found the right job posting. About the Role Managers at CookUnity partner with other leaders across the organization to build teams, develop individuals, and bring analytical excellence to help drive the iterative product lifecycle. They're also experts in their areas, using their knowledge and experience to create the space for others to succeed whilst maintaining 70/30 hands-on to contribute directly to our learning and growth. They embed within teams they support, achieving a marriage of minds with their stakeholders and an integration of objectives and workflows of. They work across the team with business, product, and marketing managers, to create data about user behaviors, discover unmet needs, set metrics that measure performance, and design & execute experiments to generate learnings and evidence their success. Where needed, they leverage machine learning methods as the basis of even deeper insights, uncovering patterns in user behavior that the human mind simply cannot process (e.g. through unsupervised learning). We're looking for a Manager, Growth Data Science & Analytics, with a focus on growth, eater activation, and resurrection to join our team. As a result of your guidance and strategic direction, you'll help advance our Growth team's capabilities, applying scientific rigor to inform, strategize, and optimize our already steep growth trajectory. What you'll do Lead and mentor a high-performing team of Marketing analysts, fostering their professional development, collaboration, and analytical expertise Conduct in-depth analysis of marketing data from diverse sources, including digital, offline, social media, CRM, and brand, to identify actionable insights and trends Develop and implement sophisticated statistical models and forecasting techniques to evaluate marketing performance, predict outcomes, and optimize marketing investments Collaborate closely with Marketing partners on leveraging advanced analytics solutions, including MMM, MTA, and LTV optimization, ensuring data-driven decision-making across marketing initiatives Communicate complex insights clearly and persuasively to senior leadership, providing data-driven recommendations to improve business performance and collaborating with Marketing leads to develop growth strategies Core Competencies Experience developing and working with marketing measurement solutions, including MMM and MTA models, causal inference, forecasting, LTV, churn, and segmentation Experience across Brand and Performance Marketing measurement High autonomy in partnering with non-technical stakeholders with strong communication skills at various levels High autonomy in executing to produce insights using data with expert proficiency in SQL, Python/R, and Tableau/Looker High agency and growth mindset Year of experience 5+ years of experience in Marketing Analytics managing complex analytics projects At least 2 years managing teams of analysts and data scientists At least 2 years in a growth team (in any capacity) Benefits Health Insurance coverage 401k Plan We grow, you grow: Stock Options Plan granted on Day 1 Eligible for a bi-annual performance bonus Unlimited PTO ️ 5- year Sabbatical: After 5 years with CookUnity, you get a 4-week paid sabbatical Family leave: 12 weeks for primary caregiver and 6 weeks for secondary caregiver, fully paid Compassionate Leave: 3-5 days each time the need arises A generous amount of CookUnity credits to enjoy our amazing meals, added to your account, monthly ️ Wellness perks: access to a nutritional coach and fitness subsidies to build a healthy lifestyle Personalized Spanish coach Awesome opportunity to join a company that is looking to change how we eat and how chefs work! Compensation All final pay rates will be determined by candidates experience, knowledge, skills, and abilities of the applicant, internal equity, and alignment with market data. Pay Range for this position $190,000-$200,000 USD If you're interested in this role, please submit your application and if we think you might be a fit, we'll get in touch with you. Thank you for your time! CookUnity is an Equal Opportunity Employer. We are dedicated to creating a community of inclusion and an environment free from discrimination or harassment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, citizenship status, protected veteran status, genetic information, or physical or mental disability.

HELP US BRING THE GIFT OF HEALTH TO LIFE. Working at Pharmavite is an experience like no other. With a focus on complete nutrition for all, each endeavor is urgent and every day counts. You'll have the opportunity to work on the #1 selling national vitamin and supplement brand, Nature Made, as well as an exciting portfolio of other products that are shaping the future of the healthy living industry. Consumer-driven innovation, high quality products and a promising portfolio, all driven by a team with a shared sense of purpose -- that's Pharmavite. Join us to bring the gift of health to life. POSITION SUMMARY Reporting to the Sr. Manager of Sales Forecasting and Analytics, the Data Science Manager, Sales Analytics, will support the commercial teams by designing, implementing, and managing data models, validation controls, and automation of business/reporting solutions. This role will also manage sales data hierarchies and act as primary business lead for ensuring accuracy and usability of all sales data assets. The goal of this work is to maximize sales, profit, and market share by improving forecast accuracy and analytics to support key business decisions. This position requires a balance of technical skills, teamwork, strong communication, and critical thinking. RESPONSIBILITIES Creates sustainable processes and controls to ensure validity of core data sources and efficiency of system resources through optimized integrations. This includes leading key initiatives like retailer data ingestion and sales forecasting system optimization. Lead collaboration between IT, business partners, and Sales to driving cross functional alignment and actions that support key sales initiatives around data. Includes defining, consolidating, and resourcing data requirements as needed Support the Sr. Manager of Forecasting and Analytics by proactively identifying and implementing solutions and process improvements through a knowledge and continuous learning of the latest data management principles, data management tools, and data sources. Builds innovative reporting capabilities, cross-functional metrics, and analytical tools that will drive data-driven decisions. Supports the Sr. Manager of Sales Forecast and Analytics in the management of internal stakeholder requirements with a structured process spanning development, implementation, and automation. Develops and executes key activities in advancing data capabilities (ie predictive analysis, data structure, report building) to support Sale Analytics processes and projects. Management of an ecosystem of platforms and data sources which can be aggregated and tied into consolidated outputs. Ability to advise on proper hierarchy and connection methods of these sources. Create data solutions that enable accessibility of data at the user level of proficiency. Uphold the gold standards of data quality, security, and governance, ensuring compliance with pertinent regulations and maintaining data privacy. MINIMUM QUALIFICATIONS Education: Requires a four-year university degree in Business, Operations Management, Supply Chain, or equivalent professional experience. Master's in Business Administration or Masters in Predictive Analytics or Information Sciences preferred. Certification: Microsoft or Cloudera preferred but not required. Experience: 3-5 years of experience in data analytics with experience implementing strategy Experience with MySQL (Structured Query Language), Python, Power BI, Tableau, Excel, Azure, and VBA (Visual Basics) Ability to extract and transform data from ERP system tables is required Experience with JD Edwards, Hyperion, Oracle, Kinaxis, and Microsoft Power Automate or Fabric a plus Experience with sales planning or analytics at a consumer-packaged goods company a plus REQUIRED KNOWLEDGE/SKILLS/ABILITIES Advanced Excel Skills Experience in automation and integration of multiple platforms Advanced skills in data visualization tools: Power BI, Tableau Experience with SQL Experience leading cross-functional meetings Experience with complex, matrixed project management Strong communication and collaboration skills Strong business acumen and ability to approach problems in a scientific manner but can also execute pragmatically Expert in creating foundational practices in data management OUR OFFER Here, career paths aren't predefined, and bureaucratic limitations don't exist -- you have the opportunity to grow, learn from industry pioneers, and develop the way you want to. Pharmavite is investing more in the development of our team -- to help us deliver on our purpose and help you achieve your career aspirations. Our environment is geared to fuel curiosity, encourage experimentation, and generate learning as this is the way we develop ourselves and our organization. Pharmavite is committed to meeting the needs of our employees and their families with a Total Rewards package that's as comprehensive as the vitamins and supplements we deliver to consumers. With competitive compensation programs and standout benefits, we provide employees with optimal health and well-being -- as well as peace of mind. These rewards -- plus our new recognition program -- ensure employees feel supported both at work and home. National Target Base Pay Range: $112,000 - $190,000. The salary range for this position is based on national standards. For candidates in California and New York metro the Target Base Pay Range is $124,000 - $212,000, to reflect the cost of living and market conditions in those areas. Actual compensation will take into account a wide range of factors that are unique to each candidate, including but not limited to geographic location, education, experience, qualifications and job-related skills. It is not typical for an individual to be hired above the midpoint of the range for their role and compensation decisions depend on the facts and circumstances of each case. This information is provided to applicants in accordance with state and local laws. Base pay is only one component of our total rewards offerings, and we will take the full offering into consideration when presenting an offer of employment. Our total rewards package for this position may also include an annual performance bonus, Medical, dental and vision benefits, 401K match, and other wellness benefits. Visit Pharmavite.com/careers to learn more about our mission and discover an opportunity that's right for you. Health and wellness begins with us. Pharmavite is an equal opportunity employer. We prohibit employment discrimination and harassment based on race, color, religion, age, sex, sexual orientation, gender, national origin, and any other basis protected by state and federal law. Pharmavite recruits, hires, employs, trains, promotes, and compensates individuals solely based on job-related qualifications and abilities. Pharmavite also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief, in accordance with applicable laws. If you need to inquire about an accommodation to complete the application process, please email recruiter@pharmavite.com. Disclaimer The above information on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications of employees assigned to this job. CALIFORNIA FAIR CHANCE ACT: Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. JOB ALERT FRAUD: We have become aware of scams from individuals, organizations, and internet sites claiming to represent Pharmavite in recruitment activities in return for disclosing financial information. Our hiring process does not include text-based conversations or interviews and never requires payment or fees from job applicants. All of our career opportunities are regularly published and updated on Pharmavite.com's Careers section. If you have already provided your personal information, please report it to your local authorities. Any fraudulent activity should be reported to: recruiter@pharmavite.com. #WIM

Location(s): United States of America City/Cities: Atlanta Travel Required: 00% - 25% Relocation Provided: No Job Posting End Date: August 6, 2025 Shift: Job Description Summary: The Director of Data Science & Analysis will lead collaborative efforts with the Portfolio Strategy & Human Insights (PSHI) team to develop solutions and processes that leverage data in innovative ways, employing exploratory and confirmatory analytics as well as AI. This role will liaise closely with the global shared platform services team and will be pivotal in instigating organizational transformation by blending business insight with expertise in data and analytics. You will serve as a unifying force, overseeing the entire analytics process for our PSHI teams. This role will be pivotal in pinpointing opportunities for value creation by transforming data into actionable insights. In this role, you will also work closely with data engineers and other data scientists to shape the target state data vision and roadmap for the Portfolio Strategy & Human Insights (PSHI) team. . This role is central to fostering an analytical mindset and will hold responsibility for the evolution and enhancement of analytical methodologies, emphasizing the innovation of new and the refinement of existing algorithms. The Ideal candidate will possess substantial, hands-on experience in data querying, analytical programming, statistical programming, and visualization. They should excel in transforming raw data into insightful visual representations and have a profound understanding and practical experience in various analytical and statistical approaches. The candidate should be adept at both innovating new methodologies and optimizing existing ones, ensuring the delivery of actionable, data-driven insights. Demonstrated ability to leverage learnings from deep analytics to business marketing applications is also required. Key Responsibilities: Provide leadership for all data science initiatives within the Portfolio Strategy & Insights team - working closely with shared services (platform services) and external partners. Develop and implement advanced statistical models and machine learning algorithms to analyze consumer and shopper behavior, identify consumer segments, and predict future consumer trends. Guide the team in analyzing, visualizing, and interpreting complex data sets to provide actionable insights into our consumer and shoppers. Lead some of the key projects for NAOU marketing team, working closely with external partners. E.g. of projects - marketing mix model, modeling customer loyalty data for understanding trends, growth pathways for brands leveraging multiple databases etc Stay updated with the latest industry trends, techniques, and methods within the field of Data Science. Help build data science capabilities within NAOU PSHI and Marketing teams. Qualifications: Bachelor's / Master's degree in a relevant field (e.g. Analytics, Computer Science, Mathematics, Statistics, Data Science, Economics) 10+ years of work experience in a data-centric business environment - understanding of marketing, consumer, CPG will be an added advantage. Familiarity and understanding of market research/survey and qualitative data sets is a plus. Extensive hands-on experience in building scalable models in R, Python etc and experience with cloud services like AWS, Azure, or Google Cloud Platform and leveraging them for deploying models and handling data. Expertise or demonstrable knowledge in Statistics / Machine Learning / Data Science Familiarity with big data technologies and frameworks like Hadoop, Spark, and experience with processing large and diverse datasets. Hands-on experience in deploying scalable models in production environments, integrating them with other business systems to maximize their utility. Proven comfort and an intellectual curiosity for working with large sets of data to address identified and sometimes undiscovered business needs. Demonstrated ability to use software to manipulate data, prototype new tools, and extract actionable insights from that data. Capable of presenting outcomes of analytic solutions in a format easily understood by a non-technical audience. The Coca-Cola Company will not offer sponsorship for employment status (including, but not limited to, H1-B visa status and other employment-based nonimmigrant visas) for this position. Accordingly, all applicants must be currently authorized to work in the United States on a full-time basis and must not require The Coca-Cola Company's sponsorship to continue to work legally in the United States. Skills: Analytical Thinking, Cross-Functional Teamwork, Data Analytics, Data Driven, Data Science, Influencing, Machine Learning Algorithms, Market Research Consultancy, Storytelling Pay Range: $160,000 - $186,000 Base pay offered may vary depending on geography, job-related knowledge, skills, and experience. A full range of medical, financial, and/or other benefits, dependent on the position, is offered. Annual Incentive Reference Value Percentage: 30 Annual Incentive reference value is a market-based competitive value for your role. It falls in the middle of the range for your role, indicating performance at target. Our Purpose and Growth Culture: We are taking deliberate action to nurture an inclusive culture that is grounded in our company purpose, to refresh the world and make a difference. We act with a growth mindset, take an expansive approach to what's possible and believe in continuous learning to improve our business and ourselves. We focus on four key behaviors - curious, empowered, inclusive and agile - and value how we work as much as what we achieve. We believe that our culture is one of the reasons our company continues to thrive after 130+ years. Visit Our Purpose and Vision to learn more about these behaviors and how you can bring them to life in your next role at Coca-Cola. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. When we collect your personal information as part of a job application or offer of employment, we do so in accordance with industry standards and best practices and in compliance with applicable privacy laws.

Job Description Wentworth Institute of Technology's School of Computing and Data Science is seeking a forward-thinking Program Director to lead our undergraduate and graduate programs [B.S. Applied Math, B.S. in Data Science, B.S. in Interdisciplinary Artificial Intelligence (currently under consideration), and M.S. in Data Science] in collaboration with faculty and school leadership. Reporting to the Dean, the Program Director plays a key role in curriculum development, accreditation, program assessment, and student success. Key Responsibilities: Oversee curriculum planning, assessment, and accreditation. Coordinate scheduling, faculty assignments, and academic standards. Support student advising, recruitment, and retention efforts. Collaborate with university offices such as Registrar, Marketing, and COOPS+CAREERS. Teach up to 3 courses during the academic year and 2 in summer for additional pay. Assist with strategic planning, budgeting, and program communications. The ideal candidate will have strong leadership skills, experience in academic administration, and a passion for student-centered education. Minimum Requirements: Doctoral degree or equivalent terminal degree in Applied Math, Mathematics, Data Science, Computer Science (AI or ML), Education with a strong quantitative or computing focus, or a closely related field. Exceptional candidates with an ABD (All But Dissertation) status or a relevant Master's degree plus significant teaching or research experience will also be considered. 3+ years of experience in teaching, research, or programmatic contributions in academic, industry, or public sector settings. Comprehensive knowledge and understanding of higher education and its challenges and opportunities Experience in serving students, management, and leadership Record of clear research and scholarship agenda Record of commitment to inclusive excellence. Preferred Requirements: Doctoral degree is preferred. Preferred Work Experience Required: 5-8 years of progressive responsibility in academic, research, or equivalent roles, including teaching, program development, or leadership. Experience in a tenure-track or teaching-intensive role is a plus but not required. Record of excellence in pedagogy and curriculum development Record of excellence in leadership and management Record of excellence in working in a collaborative environment We value diverse career paths and encourage applicants from industry, government, or interdisciplinary academic backgrounds who demonstrate commitment to teaching, innovation, and student success. Candidates who bring experience in inclusive pedagogy, emerging technologies, or cross-disciplinary collaboration are especially encouraged to apply. Join us and help shape the future of our programs and students. Apply by submitting your CV and cover letter to this posting. About Wentworth & the School of Computing and Data Science: Wentworth is an institution known as a university of opportunity with a high return on investment for its graduates. Our mission is to empower, inspire, and innovate through experiential learning and a student-centered approach to education. The School of Computing & Data Science consists of 30+ full-time faculty that offer undergraduate majors in Computer Science, Cybersecurity, IT, Data Science, and Applied Mathematics and graduate degrees in Computer Science, Data Science, and Cybersecurity. The school has teaching and research strengths in artificial intelligence, data science, cybersecurity, high-performance computing, mobile/web application development, stochastic processes, dynamical systems, financial math and modeling. In addition, members of the school have close collaborative relationships with faculty in sciences, humanities, and electrical and computer engineering, among others. Our faculty comprises individuals from wide-ranging backgrounds and experiences, where collaboration is highly encouraged and supported, and our School has no department boundaries. Another point of pride is that our faculty members include those with significant industrial, consulting, entrepreneurial, and project management experience. Inclusive Excellence at Wentworth Inclusive Excellence is one of the four pillars of the Strategic Plan. Actively and intentionally cultivating a diverse and culturally competent institution where each member has the opportunity and support to reach their full potential and make contributions to our campus community and beyond is Inclusive Excellence at Wentworth. To find out more about the Wentworth's commitment to Inclusive Excellence, please visit the website https://wit.edu/about/inclusive-excellence . All applicants have the right to accessibility support and accommodations. To request accessibility support or accommodations, contact the Executive Director of Equity and Compliance, Catlin Wells, at wellsc1@wit.edu. E-Verify for Employment Eligibility Verification (Form I-9) Wentworth participates in E-Verify. E-Verify is an internet-based system that compares information from your Form I-9 to records available to the U.S. Department of Homeland Security (DHS) and Social Security Administration (SSA) to confirm that you are authorized to work in the United States.

CAS uses intuitive technology, unparalleled scientific content and unmatched human expertise to help companies create groundbreaking innovations that benefit the world. As the scientific information solutions division of the American Chemical Society, CAS manages the largest curated reservoir of scientific knowledge, and for 118 years, has helped innovators mine, assess and apply that information to keep businesses thriving. The CAS team is global, diverse, endlessly curious and strives to make scientific insights accessible to innovators worldwide. CAS is currently seeking a Senior Data Scientist specializing in Materials Science & Chemistry applications. This position will be located in our headquarters in Columbus, Ohio. This role requires a highly self-directed professional who can independently drive complex data science initiatives in materials science and chemistry domains. The successful candidate will provide strategic input into project ideation and implementation, manage multiple high-priority initiatives simultaneously, and demonstrate exceptional ability to translate advanced analytics into tangible business value with minimal oversight. Key Accountabilities: Strategic Project Leadership Independently conceptualize, design, and execute complex analytical projects in materials science and chemistry applications Provide leadership in cross-functional project teams and provide technical direction to junior data scientists Drive project ideation and strategic planning, translating business challenges into innovative data science solutions Manage multiple high-priority projects simultaneously while maintaining exceptional quality standards Technical Excellence in Materials Science & Chemistry Apply advanced AI/ML techniques to solve complex problems in materials discovery, chemical reaction prediction, molecular design, and other related areas Synthesize and analyze chemical and materials data from diverse sources Solve unusual problems using a combination of appropriate statistics, machine learning, and computational methods Critically evaluate chemical and materials datasets for quality, completeness, and scientific validity using domain expertise Business Impact & Communication Independently synthesize analytical findings and present strategic recommendations to senior executives and C-level stakeholders Influence organizational decision-making through compelling data-driven narratives and visualizations Lead client presentations and serve as the primary technical liaison for materials science and chemistry projects Drive organizational thought leadership through publications, conference presentations, and industry engagement Organizational Leadership Serve as a technical mentor and knowledge leader within the data science team Influence and lead initiatives across the organization as part of our shared services model Establish and maintain strategic relationships with internal partners and external clients Champion best practices in data science methodologies and materials science applications Qualifications: Required: Master's Degree in Chemistry, Materials Science, Chemical Engineering, or related scientific field with 5-7 years of data science experience, OR Bachelor's degree with 10+ years of combined experience in chemistry/materials science and data science Advanced proficiency in modern data science tools and platforms (for example- SQL, Python, R, Spark, graph databases, cloud platforms) Proven track record of independently delivering high-impact AI/ML solutions that drive significant business results Deep knowledge of chemistry and materials science principles, nomenclature, and research methodologies Demonstrated ability to work with chemical databases, molecular representations, and materials property data Exceptional presentation and communication skills with proven ability to influence senior stakeholders and lead cross-functional teams Strong project management capabilities with experience managing multiple complex initiatives simultaneously Preferred: PhD in Chemistry, Materials Science, Chemical Engineering, or related field Experience with cheminformatics tools and molecular modeling software Knowledge of materials characterization techniques and experimental design Experience in materials development or chemical manufacturing industries Track record of publications in peer-reviewed journals combining data science and chemistry/materials science Consulting or client-facing experience in chemical or materials sectors CAS offers a competitive salary and comprehensive benefits package, including a generous vacation plan, medical, dental, vision insurance plans, and employee savings and retirement plans. Candidates for this position must be authorized to work in the United States and not require work authorization sponsorship by our company for this position now or in the future. EEO/Disabled/Veteran

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Boston, MA or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. About Axtria’s Data Science CoE Axtria’s Data Science Center of Excellence (CoE) is dedicated to advancing patient outcomes in the life sciences industry by leveraging AI, GenAI, and ML. Our team designs and deploys cutting-edge AI solutions across Commercial, Medical, and Clinical domains, operating in a fast-paced, collaborative, and growth-oriented environment. The Opportunity We are hiring a high-impact Director of Data Science to lead AI/ML and GenAI initiatives across life sciences clients. This role will focus on scaling Axtria’s AI offerings, driving business growth, and delivering innovative solutions for Commercial and Clinical organizations. Key Responsibilities Lead client engagements focused on GenAI, AI/ML, and ML Ops across Commercial and Clinical functions. Design solution frameworks to accelerate AI adoption and impact patient outcomes. Develop and pitch proposals to grow the Data Science practice and Axtria’s client base. Oversee delivery of large-scale projects including modeling, deployment, and ML Ops integration. Build and commercialize scalable GenAI solutions for pharma (e.g., content generation, trial recruitment). Mentor and build a high-performing data science team, fostering best practices and thought leadership. Engage in industry forums, contribute to innovation, and enhance Axtria’s reputation in the market. Qualifications Bachelor’s degree required; MS/PhD in Computer Science or related field preferred. 12+ years in life sciences, including 5+ years in data science, AI/ML, and ML Ops. Proven expertise in Python, R, TensorFlow, Keras, NLP, deep learning, and big data. Hands-on experience with cloud platforms (AWS/Azure), ML pipelines, automation, and deployment. Strong consultative and client-facing experience with a commercial mindset. Experience in RFP development, solution selling, and delivering AI applications in life sciences. Knowledge of digital automation tools (e.g., low/no-code platforms, APIs, DevOps) a plus. Patents or publications in AI/ML a strong plus. Why Join Axtria Work with top-tier talent in a dynamic, employee-first culture. Competitive compensation and benefits (medical, HSA/FSA, 401(k) match, flexible PTO). Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Why Join Axtria Platform-Led Innovation: Deliver integrated solutions via proprietary platforms like SalesIQ™, InsightsMax™, CustomerIQ™, etc. Shape the future of AI in life sciences and make a real impact on healthcare outcomes. Industry Impact: Serve 100+ global life sciences clients, including 16 of the top 20 pharma companies. Ethical AI Leadership: Join a team driving responsible GenAI innovation across the life sciences value chain. Additional Details Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics.     #LI-VG1 Powered by JazzHR

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices What We'll Bring: At TransUnion, we have a welcoming and energetic environment that encourages collaboration and innovation we're consistently exploring new technologies and tools to be agile. This environment gives our people the opportunity to hone current skills and build new capabilities, while discovering their genius. Come be a part of our team - you'll work with great people, pioneering products and cutting-edge technology. What You'll Bring: 10+ years of professional experience performing applied data science or analytic consulting work in Financial Services, consumer credit, or a related industry 5+ years in team management and leadership roles with increasing complexity and responsibility Master's or PhD degree in statistics, data science, business analytics, applied mathematics, financial mathematics, engineering, operations research, computer science or another highly quantitative field. A track record of academic excellence Deep, hands-on expertise applying machine learning, statistical inference, and predictive modeling methods in a commercial setting Proficiency in one or more analytic languages (R, Python) Proven ability to architect and engineer machine-learning pipelines with online / real-time features Current knowledge of and strong interest in consumer credit trends and dynamics. Ability to speak authoritatively with customers on relevant topics Ability to collaborate with customers to frame and define ill-structured problems and design effective solution approaches An excellent oral and written communicator with highly technical and non-technical TU leaders, partners, and customers. A proven ability to establish rapport, persuade others, ask insightful questions, and promote understanding across all levels of the organization. Substantial prior experience making formal presentations to large and senior-level groups, as well as in smaller and less formal settings Availability to travel up to 25%. We'd Love to See: Consultative approach to decision-making, ability to gather and synthesize multiple perspectives Aptitude and passion for design of highly effective processes Proficiency in one or more general-purpose programming languages (C/C++, Java), follows software engineering best practices to generate performant and implementable code Experience manipulating large datasets in SQL Experience with big data frameworks (Spark, Redshift, BigQuery, Hadoop, Ab Initio) Experience with cloud computing (AWS, GCP) Experience serving highly regulated industries Familiarity with credit bureau data and business practices Impact You'll Make: The DSA Argus leader drives core components of TransUnion Argus strategy as part of the DSA Financial Services Consulting department. This leader will manage a full capability stack, and in close collaboration with matrix partners across multiple business units they will: Lead the development of models and solutions using machine learning, statistical analysis, mathematical modeling, and artificial intelligence techniques to predict and measure outcomes and consequences. Establish and enforce best practices in the design and development practices for the aforementioned models, including rigorous management of a robust, scalable codebase, collaboratively with other DSA leaders. Proactively participate in the development of operating policies and procedures of significant scope and complexity to promote operational excellence across Data Science & Analytics. Advocate for productivity-enhancing operating procedures and technologies. Cultivate and maintain strategic partnerships and customer relationships, including via actionable, data science consulting that spans the lifecycle from issue discovery through solution development, deployment, and governance. Support Sales and Argus Advisory Services in demonstrating efficacy and value, arming client-facing associates with tools to help drive adoption and revenue Work with the Solutions organization to propose, prioritize, design, develop and take to market new products, including generic scores, derived from Argus consortium data. Curate a robust repository of internally and externally sourced analytic data assets, constructing pipelines, preserving data quality, implementing appropriate privacy and compliance controls, maximizing utility for a broad and growing set of use cases, maintaining a complete data dictionary, and publishing relevant insights. Lead the design, management and automated production of custom insights for Argus consortium members. Maintain current knowledge of relevant machine learning research, open-source tools, commercial software, and competitors' offerings. Maintain knowledge and ensure compliance with regulatory and contractual requirements pursuant to minimizing legal risks in the management of Argus consortium data. Contribute novel methods and research findings to TransUnion's growing intellectual property (IP) portfolio, potentially including patents. Assemble, maintain, and lead a geographically dispersed, high-performing team with specialized domain and technical expertise in accordance with DSA global standards. Eliminate constraints to cross-team collaboration and integration. Promote the cross-team propagation of successful ideas and approaches. Evangelize the team's unique capabilities, regularly developing and delivering thought leadership content in conjunction with broader DSA capability marketing efforts, in collaboration with matrix partners in Marketing and Solutions Marketing. Advise sponsors and stakeholders on the capabilities and potential value of proposed vendors, partners, and acquisition targets, including commercial and open-source software tools and frameworks. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers, the San Francisco Fair Chance Ordinance, Fair Chance Initiative for Hiring Ordinance, and the California Fair Chance Act. Adherence to Company policies, sound judgment and trustworthiness, working safely, communicating respectfully, and safeguarding business operations, confidential and proprietary information, and the Company's reputation are also essential expectations of this position. This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week. Benefits: TransUnion provides flexible benefits including flexible time off for exempt associates, paid time off for non-exempt associates, up to 12 paid holidays per year, health benefits (including medical, dental, and vision plan options and health spending accounts), mental health support, disability benefits, up to 12 weeks of paid parental leave, adoption assistance, fertility planning coverage, legal benefits, long-term care insurance, commuter benefits, tuition reimbursement, charity gift matching, employee stock purchase plan, 401(k) retirement savings with employer match, and access to TransUnion's Employee Resource Groups. Spousal, domestic partner, and other eligible dependent coverage is available on select health and welfare plans. We are committed to being a place where diversity is not only present, it is embraced. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability status, veteran status, genetic information, marital status, citizenship status, sexual orientation, gender identity or any other characteristic protected by law. Additionally, in accordance with Section 503 of the Rehabilitation Act of 1973 and the Vietnam Era Veterans' Readjustment Assistance Act of 1974, TransUnion takes affirmative action to employ and advance in employment qualified individuals with a disability and protected veterans in all levels of employment and develops annual affirmative action plans. Components of TransUnion's Affirmative Action Program for individuals with disabilities and protected veterans are available for review to any associate or applicant for employment upon request by contacting ERCoE@transunion.com. Pay Scale Information : The U.S. base salary range for this position is $187,500.00 - $312,500 annually. *The salary range for this position reflects a reasonable estimate of the range of compensation for this job. At TransUnion, actual compensation is based on careful consideration of additional factors such as (but not limited to) an individual's education, training, work experience, job-related skill set, location, and industry knowledge, as well as the scope and responsibilities of the position and market considerations. Regular, fulltime non-sales positions may be eligible to participate in TransUnion's annual bonus plan. Certain positions may be also eligible for long-term incentives and other payments based on applicable company guidance and plan documents. TransUnion's Internal Job Title: Sr Director, Data Science and Analytics

About Axtria Axtria is a global provider of data analytics, software, and consulting services for the Life Sciences and Pharmaceutical industry. With 3,700+ employees and clients in over 30 countries, Axtria empowers life sciences organizations to drive commercial success and improve patient outcomes. Since our founding in 2010, Axtria has differentiated itself through technology innovation. Our cloud-native platforms—Axtria DataMax™, InsightsMax™, SalesIQ™, MarketingIQ™, and CustomerIQ™—enable seamless integration of data science and AI across commercial operations, supporting functions from sales planning to omnichannel engagement. As a Data Science Principal Leader , you will spearhead P&L ownership, drive strategic growth initiatives, and scale high-impact AI/ML and agentic system deployments across commercial, medical, and clinical domains for global life sciences clients. This executive-track role blends client engagement, consultative sales, solution innovation, and global delivery leadership. Your mandate is to expand strategic partnerships, generate multi-million-dollar revenue streams, and deliver measurable outcomes through the intelligent application of GenAI, predictive modeling, NLP, and agentic workflows. Key Responsibilities P&L Ownership & Strategic Growth Own and manage a portfolio P&L of $10M+ with accountability for revenue growth, gross margins, and delivery excellence. Lead BD pursuits with top-20 global pharmaceutical clients; craft enterprise AI/ML solutions tailored to brand strategy, GTM, RWE, and patient engagement. Develop and convert pipeline opportunities ($3M–$5M range) by aligning client priorities with Axtria’s GenAI and ML offerings. Influence account strategy, pricing models, investment cases, and strategic alliances. Client Advisory & Large-Scale Delivery Serve as executive sponsor for complex client engagements—shaping solution vision, engagement design, and business impact realization. Advise VP/CXO-level stakeholders on Data Science, AI/GenAI strategy, analytics modernization, and operating model transformation. Oversee solution delivery teams (30+ globally), ensuring scientific rigor, innovation velocity, and commercial impact. Direct end-to-end design and scaling of GenAI pipelines (LLMs, RAG, multi-agent systems), causal inference, field optimization, and omni-channel orchestration solutions. Innovation, IP, and Agentic Solutions Lead the development of next-gen agentic architectures that support autonomous decisioning, adaptive learning loops, and personalized interventions. Drive reusability via domain-specific agent libraries, GenAI prompt kits, and modular ML workflows. Contribute to the firm’s IP portfolio through thought leadership, open-source tooling, and platform accelerators. Team & Capability Development Build and scale a world-class AI/ML and GenAI delivery organization across the US, India, and EU. Recruit, mentor, and upskill top-tier data scientists, ML engineers, and GenAI specialists. Foster a high-performance culture anchored in continuous learning, ethical AI, and measurable impact. Experience: 18+ years in data science, AI/ML consulting, or digital transformation, with a minimum of 10 years focused on life sciences or healthcare. Bachelor’s degree a must w/ master’s or PhD in Data Science, Computer Science, Biostatistics, Epidemiology, Engineering, or related quantitative field. Proven success in owning and growing $10M+ P&L, with deep experience in consultative selling, client management, and strategic growth. Led complex, enterprise-scale AI/ML transformations in commercial pharma, HEOR, RWE, and patient analytics. Hands-on expertise in GenAI (LLMs, RAG, multi-agent systems), causal modeling, predictive analytics, and NLP. Familiarity with ML engineering at scale—cloud-native deployments (AWS, GCP, Azure), MLOps, and responsible AI frameworks. Trusted advisor to SVP/CXO stakeholders; fluent in translating science to strategic value. Strong executive presence and ability to influence business, IT, and analytics functions. Exceptional track record in building global teams and delivering innovation at scale. Additional Details Hybrid work model (3 days onsite) Berkeley Heights, NJ or client. Competitive compensation, performance-based bonus, 401(k) with company match, health benefits, and PTO. Axtria is an EEO/AA employer. All qualified applicants will receive consideration without regard to race, gender identity, religion, national origin, disability, veteran status, or other protected characteristics. Pay Transparency Laws Salary range or hourly pay range for the position The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location. The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location. #LI-MHT1 Powered by JazzHR

As a Prompt Engineer focused on Data Science and Quality Analysis, you’ll design, test, and evaluate prompts for AI systems that interact with real-world restaurant data. You’ll work cross-functionally to develop AI solutions that drive operational efficiency, improve data interpretation, and support smarter decision-making for restaurant operators. Your work will directly shape how AI models perform in high-stakes, dynamic environments like order processing, reporting, support automation, and performance analysis. Essential Job Functions: Prompt Design & Evaluation: Develop, test, and refine prompts for tasks such as text generation, question answering, data classification, and structured data extraction to optimize Voice AI performance. Data-Driven Analysis & Quality Measurement : Design evaluation frameworks and analyze prompt outputs using quantitative metrics, human-in-the-loop evaluation, and user feedback to identify improvement opportunities. Experimentation & Iteration Conduct experiments to test prompt variations, measure their business and operational impact, and iterate to enhance accuracy, consistency, and safety. Regression Testing & Compliance Build principled regression test suites using tools like LangFuse and Galileo to ensure prompts remain compliant and high-performing as models and use cases evolve. Collaboration Across Teams: Work closely with data science, product, legal, engineering, and operations teams to align prompt designs with business goals, operational workflows, and compliance requirements. Model Adaptation & Strategy Development prompts across multiple LLMs (GPT, LLaMA, Gemini, and Checkmate’s fine-tuned models), understanding model differences to optimize outputs effectively. Team Leadership & Mentorship Lead a team of analysts focused on prompt evaluation and data quality analysis, guiding prioritization, experimentation, and reporting. Collaborate with ops teams for seamless deployment and feedback loops. Research & Continuous Learning Stay up to date on emerging prompting techniques, LLM behaviors, evaluation frameworks, and AI safety practices to keep Checkmate’s AI solutions best-in-class. Requirements Strong analytical and data science skills, with hands-on experience in Python (pandas, NumPy, scikit-learn ) Experience designing and conducting experiments and evaluations in applied AI or NLP contexts Proficiency in SQL and working with relational databases (e.g. MySQL, PostgreSQL, Oracle, MS SQL) Good understanding of data processing, quality measurement, and testing fundamentals Experience leading analyst or operations teams, with strong prioritization, mentorship, and collaboration skills Strong problem-solving mindset with a drive to explore, optimize, and automate workflows Excellent communication skills for presenting insights to technical and non-technical stakeholders Bachelor’s degree in Data Science, Computer Science, Statistics, Engineering, or a related field Flexible to work US hours until at least 6 pm ET, with a strong remote setup Preferred Qualifications Experience with LLM evaluation and prompt engineering workflows Familiarity with tools like LangFuse and Galileo for prompt evaluation and analysis Knowledge of cloud platforms (AWS, GCP, Azure) and data pipeline tools Familiarity with machine learning concepts and NLP workflows Master’s or PhD in Data Science, Statistics, Computer Science, or a related field Benefits Health Care Plan (Medical, Dental & Vision) Retirement Plan (401k) Life Insurance (Basic, Voluntary & AD&D) Flexible Paid Time Off Family Leave (Maternity, Paternity) Short Term & Long Term Disability Training & Development Work From Home Stock Option Plan

DataVisor is the world’s leading AI-powered Fraud and Risk Platform that delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely and enables organizations to act on fast-evolving fraud and money laundering activities in real-time. Its patented unsupervised machine learning technology, advanced device intelligence, powerful decision engine, and investigation tools work together to provide guaranteed performance lift from day one. The flexible architecture of DataVisor's platform allows enterprises to power sophisticated and complex use cases across different businesses while dramatically lowering the total cost of ownership. DataVisor is recognized as an industry leader and has been adopted by Fortune 500 companies globally across many industries. Our award-winning software platform is powered by a team of world-class experts in big data, machine learning, security, and scalable infrastructure. Our culture is open, positive, collaborative, and results-driven. Come join us! Position Overview We are looking for a Data Science Manager or Director to lead the design and deployment of advanced machine learning models for fraud detection common use cases across financial industries,  such as ACH, card payments, onboarding, and more. This role is central to DataVisor’s mission to stop fraud using cutting-edge AI. You will drive the development of industry-level consortium models as well as customized models tailored to individual clients. Your work will span supervised and unsupervised learning, anomaly detection, and large language models (LLMs), with a focus on using AI to accelerate data analysis, result interpretation, and fraud signal discovery. This is a hands-on leadership role that combines deep technical expertise with strategic thinking and customer engagement. Key Responsibilities Advanced ML Model Development Lead the end-to-end development of machine learning models, including supervised, unsupervised, and deep learning approaches, for fraud detection and risk mitigation. Incorporate large language models (LLMs) and generative AI to improve detection precision, result explainability, and analytical workflows. Design and deliver industry-wide consortium models as well as client-specific models to meet both broad and tailored detection needs. Enhance and scale the model governance frameworks, including model documentation, version control, validation, monitoring, and regulatory compliance alignment. AI-Powered Data Analysis and insight derivation Use AI to assist with data mining, fraud trend detection, and root cause analysis for fraud events. Automate result interpretation, detection reporting, and ongoing model performance diagnostics and explanations. Client-Centric Solutions Collaborate with top-tier financial institutions, fintechs, and e-commerce platforms to understand fraud challenges and deliver measurable detection improvements. Translate client-specific data and feedback loops (e.g., chargebacks, ACH returns) into actionable machine learning strategies. Cross-Functional Execution Partner with Engineering and Product teams to operationalize models in production, ensuring high scalability and performance. Support Customer Success teams with detection insights and model tuning. Thought Leadership & Research Publish and present on fraud trends, model innovations, and AI applications. Represent DataVisor in external forums, industry conferences, and customer workshops. Requirements PhD in Computer Science, Statistics, Machine Learning, or a related quantitative field. 7+ years of experience applying machine learning in fraud/risk domains. Deep understanding of fraud data ecosystems and feedback mechanisms (e.g., chargebacks, disputes, returns) is a plus Strong programming and analytical skills (Java, Python, SQL, scikit-learn, XGBoost, PyTorch/TensorFlow), with pragmatic approaches to solve real-world problems Experience with LLMs and generative AI applications in detection or analytics is a strong plus. Proven ability to build, deploy, and monitor ML models in a production environment. Strong communication and collaboration skills with the ability to work across technical and non-technical teams, including direct engagement with clients. Leadership experience in hiring/mentoring/managing data scientists and driving cross-functional initiatives. Benefits Health Insurance, PTO, 401k

Tiger Analytics is an advanced analytics consulting firm that partners with some of the largest global organizations to turn data into actionable insights. We solve complex analytical problems at scale and have built a reputation for delivering valuable data-driven solutions across various industries, including Pharma and Life Sciences. If you are passionate about leveraging data science to address critical challenges in the Pharma & Life Sciences sector, this role is an excellent fit for you. Join us in revolutionizing the healthcare landscape through advanced analytics. Responsibilities Lead and manage data science projects from ideation to execution, ensuring that they meet client needs and deliver impactful results. Work closely with clients to understand their business challenges and translate them into data-driven solutions. Develop and implement advanced analytics models, including predictive and prescriptive analytics, to drive business improvement initiatives in the Pharma & Life Sciences domain. Utilize a variety of data sources, such as patient data, clinical data, and market intelligence, to generate actionable insights. Collaborate with cross-functional teams, including data engineers and business stakeholders, to ensure successful deployment of data science solutions. Mentor and guide junior data scientists and analysts, fostering a culture of learning and innovation. Present findings and recommendations to executive-level stakeholders, effectively communicating complex concepts in a clear and compelling manner. Stay updated on industry trends, emerging technologies, and advanced analytics methodologies, and share knowledge with the team. Requirements 8-12 years of professional experience in data science, analytics, or a related field, with significant exposure to the Pharma & Life Sciences sector. Strong proficiency in statistical analysis, machine learning techniques, and data mining methodologies. Hands-on experience with programming languages such as R, Python, and SQL, as well as familiarity with data visualization tools like Tableau or Power BI. Proven ability to work with large datasets and perform complex data analyses. Excellent project management skills and the ability to manage multiple projects and priorities effectively. Strong problem-solving skills and a detail-oriented mindset. Experience in communicating analytical results to senior management and facilitating decision-making processes. Master's degree or higher in Data Science, Statistics, Computer Science, or related field is preferred. Benefits Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Title: Data Science and Analytics Location: New York Duration: 3 Months Required Skills: • Website/mobile (Adobe Analytics) • Data Visualization: advanced Excel, Tableau, Power BI • Marketing Automation • Adobe Test & Target Preferred Skills: • Adobe Analytics • Adobe Test & Target • Marketing Automation Who are you? • Bachelor’s degree, in Marketing, Business, • 8-10+ years of work experience in a quantitative business environment with 5+ years in marketing analytics • Passion for digital analytics, working with data and deriving insights to answer client business questions • Experience leading and delivering marketing analytics engagements • Strong knowledge of the digital space and digital analytics • Strong communication and client service skills • Strong organizational skills and attention to detail • Strong consultative skills and the ability to challenge status quo and gain adoption • Comfortable with working in and contributing to a fast-paced, team-based environment • Management or mentorship experience - providing training, project support, career advice and delegated responsibilities • Proven ability to influence stakeholder and senior leaders, and manage organizational change • The candidate should be a hybrid of analyst, but also storyteller. • Being able to distill data into keen, actionable insights. • They need to be able to synthesize the data. So we need someone who is an excellent verbal and written communicator

Job Title: Senior/Manager Data Science & Analytics Location: New York, NY Duration: 6 Months + Extension No of positions: 2 (1 senior consultant and 1 Manager) Requirements: •3+ years of experience with campaign targeting, segmentation, test design/learning plans, reporting and optimization of: •CRM channels (email, Push Notifications) •Engagement data (email opens/clicks, push notifications taps, web visits and clickstream) •Account data (first and 3rd party), including demographics •Transactional data (product registrations, eComm, offer redemption) •Website/mobile (Adobe/Google Analytics) •Data science language skills: •SQL •Data visualization: advanced Excel, Tableau, Power BI •Does NOT need R, Python, Data modeling, Data mining, etc. •Customer database experience will be very helpful Note: If interested please send your updated resume and include your rate requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.

This position is a 3-month internship for summer 2026. The Actuarial/Data Science Intern will work closely with SECURA's actuarial team to complete work products supporting rate reviews, competitive analyses, modeling, and business reports tailored to meet the needs of our internal customers. This experience will afford the Actuarial/Data Science Intern opportunities to receive valuable Actuarial/Data Science training, gain professional experience in a business setting, and learn first-hand about the role Actuarial Science and Data Science play in the property and casualty insurance industry. This position will be an in-office role located in Neenah, WI. Responsibilities: Assist in preparing support data used in the rate review process for commercial, specialty, agribusiness and farm lines. Apply current ratemaking methodologies to develop rate indications. Assist in conducting strategic research and peer company analyses using a variety of sources and tools. Assist in preparing and analyzing actuarial data on a monthly & quarterly basis, while learning how to identify and communicate key observations and trends. Participate in various projects, including analysis supporting business units (commercial, specialty, agribusiness, and farm), planning, reserving, claims, marketing, reinsurance, modeling, etc. Qualifications: Actively pursuing Bachelor's degree in Actuarial Science, Data Science, or other related field. Advanced data analysis skills including the ability to operate & design complex Excel spreadsheets. Proficient in Word and PowerPoint. Efficient, detail-oriented, and service-oriented. The ability to simultaneously be focused and flexible, while working successfully both collaboratively and independently. Ability to effectively use automation tools to improve the timeliness, accuracy and content of reports, or to support actuarial research. Coding experience in Python is a plus, but not required.

We're defining what it means to build and deliver the most extraordinary sports and entertainment experiences. Our global team is trailblazing new markets, developing cutting-edge products, and shaping the future of responsible gaming. Here, "impossible" isn't part of our vocabulary. You'll face some of the toughest but most rewarding challenges of your career. They're worth it. Channeling your inner grit will accelerate your growth, help us win as a team, and create unforgettable moments for our customers. The Crown Is Yours We are looking for a Senior Data Science Engineer to join our Casino Reinvestment team, where we focus on understanding and optimizing how players engage with our iGaming products over time. As a Senior Data Science Engineer, you will be responsible for building advanced models and algorithms, analyzing large-scale behavioral datasets, and driving measurable impact through experimentation and productionized solutions. This role marks your first promotion from an entry-level position, recognizing your capability to deliver high-quality output and break down moderately sized problems into manageable chunks. What you'll do as a Senior Data Science Engineer Lead end-to-end modeling projects to improve customer engagement and retention, from ideation to production deployment. Build, test, and optimize machine learning models to forecast user behavior, personalize promotions, and enhance Casino product engagement. Partner with engineers, analysts, product managers, and marketers to translate insights into scalable solutions embedded within customer-facing systems. Mentor junior data scientists and share modeling and engineering best practices across the team. Clearly communicate findings and the impact of your models to stakeholders to influence product and marketing strategy. What you'll bring Proven experience applying machine learning and statistical modeling to solve real-world business problems, ideally in marketing or customer lifecycle contexts. Strong proficiency in Python (or R) and experience working with large datasets using SQL and distributed computing platforms. Ability to independently structure and execute data science projects and deliver business value through production-ready models. Excellent communication and collaboration skills to work effectively across technical and non-technical teams. A Bachelor's degree in a relevant field such as Computer Science, Statistics, Mathematics, or a related discipline. Join Our Team We're a publicly traded (NASDAQ: DKNG) technology company headquartered in Boston. As a regulated gaming company, you may be required to obtain a gaming license issued by the appropriate state agency as a condition of employment. Don't worry, we'll guide you through the process if this is relevant to your role. The US base salary range for this full-time position is 120,800.00 USD - 151,000.00 USD, plus bonus, equity, and benefits as applicable. Our ranges are determined by role, level, and location. The compensation information displayed on each job posting reflects the range for new hire pay rates for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific pay range and how that was determined during the hiring process. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.