Data scientist jobs in East Providence, RI

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. As a Data Scientist, you will focus on translating business needs into analytics, interpretation of analytics into business applications, sophisticated technologies, and artificial intelligence solutions. This role will allow you to innovate, explore, and build solutions for FM using new technologies. You will develop and apply statistics, artificial intelligence, machine learning, and deep learning to various business problems in loss prevention. You'll be part of our innovative and diverse team of sophisticated data and analytics professionals. You'll work alongside multiple departments, including operations, innovation, business technology transformation, underwriting, and engineering. Through constant learning, innovation, discovery, and collaboration you'll not only help FM deliver on the promise of loss prevention, but you'll also grow your career and the scope of your impact across our company. Using your creativity and applying a vast array of techniques and tools, you will plan, conduct, and advise the development and evaluation of real-world, large-scale problems using artificial intelligence/machine learning with minimal or limited supervision. Your projects will be interesting, exciting and ambitious! You will use statistics to advance the mission and goals of FM. Ph.D. in Statistics, Biostatistics or Operational Research with 2+ years of industry experience or a Master's degree with 5+ years of industry working experience in data science modelling 5+ years of experience of data processing, statistical analysis and modelling using tools such as Python,R, or SQL 2+ years of experience of working with cloud data analytics platform, such as Databricks Advanced Knowledge and Working Experience in: Generalized Linear Models (Logistic Regression, Zero-Inflated Model, etc.) Model Regularization Probability Distributions Hypothesis testing Statistical Inference Machine Learning (Random Forest, Clustering, Gradient Descent, Gradient Boosting, etc.) Simulation Experiment Design Non-Parametric Statistics Experience as the lead role of full-cycle data science projects Working experience in risk management and/or property insurance is strongly preferred Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

** 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 ****************** .

SES AI Corp. (NYSE: SES) is dedicated to accelerating the world's energy transition through groundbreaking material discovery and advanced battery management. We are at the forefront of revolutionizing battery creation, pioneering the integration of cutting-edge machine learning into our research and development. Our AI-enhanced, high-energy-density and high-power-density Li-Metal and Li-ion batteries are unique; they are the first in the world to utilize electrolyte materials discovered by AI. This powerful combination of "AI for science" and material engineering enables batteries that can be used across various applications, including transportation (land and air), energy storage, robotics, and drones. To learn more about us, please visit: ********** What We Offer: A highly competitive salary and robust benefits package, including comprehensive health coverage and an attractive equity/stock options program within our NYSE-listed company. The opportunity to contribute directly to a meaningful scientific project-accelerating the global energy transition-with a clear and broad public impact. Work in a dynamic, collaborative, and innovative environment at the intersection of AI and material science, driving the next generation of battery technology. Significant opportunities for professional growth and career development as you work alongside leading experts in AI, R&D, and engineering. Access to state-of-the-art facilities and proprietary technologies are used to discover and deploy AI-enhanced battery solutions. What we Need: The SES AI Prometheus team is seeking an exceptional Data & Evaluation Applied AI Scientist to serve as the domain expert ensuring that SES AI's complex battery-domain knowledge is correctly represented and validated within advanced AI systems, including LLM pipelines and multi-agent workflows. This role is vital for bridging the gap between raw battery materials knowledge and structured, AI-trainable data. As the Data & Model Quality Manager, you will focus on the integrity, structure, and fidelity of the knowledge embedded within our AI systems. Essential Duties and Responsibilities: Data Curation & Validation Translate deep Battery Materials Knowledge and next-generation battery concepts into correctly structured, high-quality, AI-trainable data. Lead processes for rigorous data validation, cleaning, and annotation to ensure consistency and correctness across all datasets. Oversee the creation and management of benchmark datasets and design domain-specific multimodal evaluations to test model accuracy. AI System Quality & Correctness Partner closely with AI architecture and engineering teams to ensure the correctness, reliability, and scientific reasoning quality of models, including LLM creation and multi-agent orchestration. Implement techniques, including those inspired by reinforcement learning (RLHF), to tune and validate model behavior against established scientific principles. Ensure that resulting models accurately understand molecular chemistry, materials data, and complex scientific reasoning in the battery domain. Strategy & Collaboration Drive the application of Battery Informatics principles across all data pipelines and modeling effots. Education and/or Experience: Education: Ph.D. in Chemical Engineering with a focus on Lithium battery systems, Materials Science, or a closely related computational/domain field. Domain Expertise: Deep expertise in battery materials, particularly knowledge required to convert complex, real-world data into AI-trainable formats. Data Quality & Validation: Proven experience in data validation, annotation, and benchmark creation for complex scientific or engineering datasets. AI Exposure: Experience working with advanced AI systems, including familiarity with LLM pipelines and the principles of multi-agent orchestration. Applicable Background: Experience in roles such as Applied Scientist in Molecular/Materials AI or similar specialist roles focused on AI system quality in a scientific domain. Preferred Qualifications: Advanced AI Techniques: Experience with specialized techniques used for model tuning and alignment, such as Reinforcement Learning from Human Feedback (RLHF). Industry Precedent: Previous experience in specialized environments like battery focus labs, materials data science groups, or AI4Science teams with a focus on agent pipeline building and model tuning (e.g., drawing from precedents like DeepMind or Fair Labs). Evaluation Design: Direct experience designing and executing domain-specific multimodal evaluations for complex AI models. Computational Focus: Experience as a Computational battery AI specialist.

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 (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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.

At Manulife, data scientists collaborate with engineers, IT, and experts to build analytical models and data architectures for solving business problems within a modern MLOps framework! The Data Scientist is accountable for delivering business value with data by focusing on key corporate objectives, including portfolio optimization, expense efficiency, growth acceleration, digital customer leadership, fraud detection, and high-performance of the team. The Data Scientist is responsible for crafting, building, and deploying business interpretable and performant analytics solutions and applications. Collaborates with data and ML engineers to build scalable self-service tools for the analytics team. The Data Scientist leverages and shares their deep knowledge of, and experience with, a wide variety of data analytics practices and methods. The Data Scientist helps others to improve their knowledge and understanding of the use of data and technology. **Position Responsibilities:** **Bridging between data assets, technology, and business expertise** + Collaborate shoulder-to-shoulder with business experts. + Understand the business, the associated processes, systems & data environment. + Research, explore, and experiment with data driven business ideas. + Research & leverage published material to gain a comprehensive understanding of data science practices and methods. **Crafting and building business interpretable and performant analytics solutions** + Develop and implement data analytics enabled solutions to improve and re-imagine business process, to generate insights, and support strategy development. + Work on problems of diverse scope and complexity requiring the in-depth analysis of data. + Quickly develop enough business insight to connect data sources across multiple diverse and complex systems. + Generate relevant, actionable insights based on iterative data analysis, translating data-driven output into business language, and making appropriate recommendations to business partners. + Work closely with business teams and data science engineers to collaboratively build and deliver rich data content for analysis. + Deploy rich data and analytics content in business applications. + Understand how the analysis of data impacts a broader business strategy, including the core drivers of business value. + Prepare cases on the benefits of the analytics work. **Elevate data and analytics skills in the business** + Help business partners better understand the use of data, drawing on a detailed understanding of data analytics and predictive modeling. + Identify and guide natural data champions to improve the profitable use of data. + Learn salient business concepts from data champions and enable them to creatively use data assets. **Required Qualifications:** + Masters or equivalent experience in a quantitative field (Computer Science, Mathematics, Physics, Machine Learning, AI, Statistics, or related field) + Knowledge and expertise with SQL with Oracle, MySQL, and Relational Databases + Skilled with Python or similar languages + 2+ years of experience working in data science in a consumer product company collaborating with Machine Learning Scientists, Data Scientists, Research Scientists, Applied Scientists, or similar roles. Can relax this requirement for PhD or equivalent experience. **Preferred Qualifications:** + Experience in a quantitative field (such as Computer Science, Mathematics, Physics, Machine Learning, Bioinformatics AI, Statistics, engineering, or equivalent) + Practical experience in several of the following areas: machine learning, NLP, statistics, experimental design, deep learning, recommendation systems + Knowledge and experience in network and graph based analytics techniques including graph databases + Functional knowledge of Azure Cloud Platform such as Azure ML and Data Factory + Ability to distill informal customer requirements into problem definitions, dealing with ambiguity and competing objectives + Outstanding verbal and written communication skills, ability to convey detailed mathematical concepts and considerations to non-experts + Passionate about working in a diverse group and contributing to an inclusive culture **When you join our team:** + We'll empower you to learn and grow the career you want. + We'll recognize and support you in a flexible environment where well-being and inclusion are more than just words. + As part of our global team, we'll support you in shaping the future you want to see. \#LI-Hybrid **Acerca de Manulife y John Hancock** Manulife Financial Corporation es un importante proveedor internacional de servicios financieros que ayuda a las personas a tomar decisiones de una manera más fácil y a vivir mejor. Para obtener más información acerca de nosotros, visite *********************** . **Manulife es un empleador que ofrece igualdad de oportunidades** En Manulife/John Hancock, valoramos nuestra diversidad. Nos esforzamos por atraer, formar y retener una fuerza laboral tan diversa como los clientes a los que prestamos servicios, y para fomentar un entorno laboral inclusivo en el que se aprovechen las fortalezas de las culturas y las personas. Estamos comprometidos con la equidad en las contrataciones, la retención de talento, el ascenso y la remuneración, y administramos todas nuestras prácticas y programas sin discriminación por motivos de raza, ascendencia, lugar de origen, color, origen étnico, ciudadanía, religión o creencias religiosas, credo, sexo (incluyendo el embarazo y las afecciones relacionadas con este), orientación sexual, características genéticas, condición de veterano, identidad de género, expresión de género, edad, estado civil, estatus familiar, discapacidad, o cualquier otro aspecto protegido por la ley vigente. Nuestra prioridad es eliminar las barreras para garantizar la igualdad de acceso al empleo. Un representante de Recursos Humanos trabajará con los solicitantes que requieran una adaptación razonable durante el proceso de solicitud. Toda la información que se haya compartido durante el proceso de solicitud de adaptación se almacenará y utilizará de manera congruente con las leyes y las políticas de Manulife/John Hancock correspondientes. Para solicitar una adaptación razonable en el proceso de solicitud, envíenos un mensaje a ************************ . **Referenced Salary Location** Toronto, Ontario **Modalidades de Trabajo** Híbrido **Salary range is expected to be between** $90,920.00 CAD - $140,920.00 CAD. Si se está postulando para este puesto fuera de la ubicación principal, póngase en contacto con ************************ para conocer el rango salarial de su ubicación. El salario real variará según las condiciones locales del mercado, la geografía y los factores relacionados con el trabajo pertinentes, como conocimiento, habilidades, calificaciones, experiencia y educación/capacitación. Los empleados también tienen la oportunidad de participar en programas de incentivos y obtener una compensación de incentivos vinculada al desempeño comercial e individual. Manulife ofrece a los empleados aptos una amplia variedad de beneficios personalizables, entre ellos, beneficios de salud, odontológicos, de salud mental, oftalmológicos, por discapacidad a corto y a largo plazo, cobertura de seguro de vida y por muerte accidental y desmembramiento, adopción/subrogación y bienestar, y planes de asistencia al empleado/familiar. También ofrecemos a los empleados admisibles varios planes de ahorro para la jubilación (incluidos planes de pensiones y un plan mundial de propiedad de acciones con contribuciones equivalentes del empleador) y recursos de asesoramiento y educación financiera. Nuestro generoso programa de tiempo libre remunerado en Canadá incluye feriados, vacaciones, días personales y días por enfermedad, y ofrecemos la gama completa de ausencia laboral reglamentaria. Si se está postulando para este puesto en los EE. UU., póngase en contacto con ************************ para obtener más información sobre las disposiciones relativas al tiempo libre remunerado específicas de EE. UU.

The Data Science team is responsible for managing all data analytics, reporting and algorithmic aspects for our client. The data science team is an integral part of every function in the life cycle of the company to provide product, tools, business support. As a data scientist you will work closely with architects, engineers, account managers and data scientists within and outside the company. You will be involved from pre-sales to support. You will work on next generation algorithms development and help measure, maintain and upgrade current business. Qualifications REQUIRED SKILLS Outstanding technical abilities with 5+ years of Scala, Java, or C/C++ development experience with statistical machine learning models Rounded business skills with the ability to understand customer business needs Ability to solve problems practically for clients and internal needs Excellent interpersonal skills with ability to communicate clearly and concisely with executives, engineers, account managers, sales, business partners and data scientists. Ability to respond to customer needs and meet deadlines with accurate work while under pressure Expected to build statistical, optimization and machine learning models followed by detailed pre-production out of sample validation and recommendation for a/b testing experiments with success criteria. Own complete life cycle from problem formulation to solution deployment and maintenance Excellent understanding of computer science fundamentals, data structures, and algorithms Have a strong mathematical background and have experience with modeling complex high dimensional problems Experience performing petabyte scale data analysis and developing meaningful visualizations Must be able to collaborate with architects, engineers, and data scientists within and outside the company. EXPERIENCE Proven to thrive in start up environments Experience defining and building web scale algorithms, reports and visualizations Must be organized, have an eye for detail, and be able to put ideas into a tangible form Ability to prioritize and manage work to critical project timelines in a fast-paced environment and the ability to develop new approaches to complex design problems Experience with developing production grade algorithms for the web scale Preferred - Ph.D. in Computer Science, Operations Research, Physics, Electrical Engineering, Mathematics or other quantitative fields. Experience with Spark, Kaplan, Breeze, map/reduce models a plus Experience modeling stochastic processes, Bayesian learning models, utility theory, game theory a plus Additional Information All your information will be kept confidential according to EEO guidelines.

The Junior Data Scientist will support a large Utility customer in Indianapolis. They will use data science techniques to improve grid reliability, customer experience, and operational efficiency. This entry-level role is ideal for candidates passionate about solving energy challenges. You'll work alongside our team of experienced data scientists, data analysts, data architects and engineers, and data governance experts to deliver insights that drive smarter decisions and accelerate the future of energy. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements -Sociable, energetic, and eager to be a part of a growing team! -Bachelor's degree in data science, statistics, computer science, engineering, or a related field. Master's degree or PhD is preferred. -1-3 years of experience in a data science or analytics role. -Strong applied analytics and statistics skills, such as distributions, statistical testing, regression, etc. -Proficiency in Python or R, with experience using libraries -Proficiency in traditional machine learning algorithms and techniques, including k-nearest neighbors (k-NN), naive Bayes, support vector machines (SVM), convolutional neural networks (CNN), random forest, gradient-boosted trees, etc.

The Department of Data Science at the Dana Farber Cancer Institute (DFCI) seeks candidates with a strong background in scientific programming. As part of the department's mission to collaborate with basic biologists and clinical researchers to better understand cancer and improve treatment, our department develops new statistical methods and data analysis pipelines. Substantial experience in two or more of: scientific computing; data technologies; user interfaces; containerization; or distributed computing will be required. Much of our work is based on R and related tools and technologies, and experience in package development and advanced computing in the R ecosystem will be essential. We want help extending and improving these, as well as organizing and managing our data, and training our students, postdoctoral faculty, and collaborators in best practices and new developments related to R. We are seeking a data scientist to help with these challenges. The successful candidate will have a unique opportunity to take a leadership role in an exceptional collaborative environment with experts in a wide range of areas, including clinical trials, cancer genetics, immunology, epigenetics, machine learning, Bayesian methods, and alignment algorithms. There is room for growth in this position as the career ladder includes leadership levels. We offer salaries that are competitive with the biotech industry. _Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases._ _We_ _strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physician/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals._ **PRIMARY DUTIES AND RESPONSIBILITIES:** + Meet and consult with scientists requiring data science support and design plans and solutions + Delivery of results for projects + Work as part of the broader team to identify longer-term solutions that will improve quality, + speed and efficacy of our current projects and programs + Evaluate and benchmark new libraries; prototype and pipeline development. + Deep data science skills, at the interface between computer science and statistics **KNOWLEDGE, SKILLS, AND ABILITIES REQUIRED:** + Excellent communication and effective problem-solving skills, track record in serving a variety of + Diverse customers and projects + Ability to work independently, prioritize, and manage people if needed, within an environment with ever changing priorities. + Natural language processing experience preferred + Shiny, Spyre, Flask, WebDev and prototyping experience preferred + JupyterHub, Sun Grid Engine, Google Cloud Platform, AWS experience preferred + Experienced in data science methodologies and techniques, e.g. hypothesis testing, classification, regression, clustering, feature allocation, deep learning, time-series analysis, network modeling, feature selection/engineering. + Significant scientific background with prior experience in clinical research **MINIMUM JOB QUALIFICATIONS:** + PhD or equivalent experience with evidence of impact in data science applied to real life problems in a research setting ideally within a clinical research environment + 5 to 8 years of experience post PhD + Prior experience supervising at least 1 person preferred **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $133,700 - $138,000 At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are committed to having faculty and staff that offer multifaceted experiences. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

**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 (***************************************************************************************************************************

Who We Are FTI Consulting is the leading global expert firm for organizations facing crisis and transformation. We work with many of the world's top multinational corporations, law firms, banks and private equity firms on their most important issues to deliver impact that makes a difference. From resolving disputes, navigating crises, managing risk and optimizing performance, our teams respond rapidly to dynamic and complex situations. At FTI Consulting, you'll work side-by side with leaders who have shaped history, helping solve the biggest challenges making headlines today. From day one, you'll be an integral part of a focused team where you can make a real impact. You'll be surrounded by an open, collaborative culture that embraces diversity, recognition, professional development and, most importantly, you. Are you ready to make your impact? About The Role Data Scientists on FTI's AI Build Team should have a pragmatic approach to problem-solving and be capable of developing end-to-end solutions that clients can rely on in production. They should be capable of challenging their own work and finding a balance between perfection and practicality. As a Senior Consultant on FTI's AI Build Team, you will provide guidance, leadership, and mentorship to junior members of the team, while simultaneously contributing to workstreams on larger projects. You will showcase your expertise across a number of technical areas including programming, AI/ML and best practices. What You'll Do * Data Management * Develop and oversee comprehensive ETL processes * Ideate and maintain functional relational databases * Structure and perform quality control procedures for data ingestion, querying, and usages * Data Analysis * Perform exploratory data analysis and render key insights through evidenced results * Execute data quality assessments * Illustrate material understandings through coherent data visualizations * Manage concurrent investigations into required datasets * Execute and tune statistical analyses * Modeling * Conduct necessary research for proof-of-concept model selection * Identify viable model features and apply appropriate normalizations * Appropriately log model parameters and metrics for comparison * Diligently optimize current processes and pipelines * Perform quality control and debugging assistance for junior data scientists * Actively work on MLOps design and implementation * Bring completed models to production * Communication * Frequently partner with internal and external stakeholders * Lead meetings with internal and external non-technical stakeholders to deliver insights * Outline objectives and track progress of junior data scientists How You'll Grow This is an excellent opportunity for a person with proven analytical experience to join a growing, dynamic team, and work on a variety of projects in a wide range of industries. Senior Consultants will have opportunities to collaborate laterally and vertically, internally, and externally, as well as lead and design projects through developing various approaches to complex issues. What You Will Need to Succeed Basic Qualifications * Bachelor's degree in Math, Physics, Computer Science, Statistics, or related field of study * 3+ years of post-graduate professional experience or Master's degree in Math Physics, ComputScience, Statistics, or related field of study with 2+ years of post-graduate professional experience * Ability to travel to clients and FTI office(s) * Technical Platform Requirements * Experience in the following computing language: Python * Experience in any of the following query languages: T/SQL, PL/SQL, and PL/pg SQL * Experience in the following version control language: Git * Experience in any of the following database platforms: Postgres, Databricks, Apache Spark, MSSQL, and Oracle * Experience in any of the following AI/ML frameworks: Huggingface, Torch, Tensforflow, Scikit-Learn, and Spacy * Knowledge of MLOps related technologies for model lifecycle management * Knowledge of at least one development environment management framework: Docker, UV, Poetry * Technical Concept Requirements * Experience in any of the following AI/ML topics: Natural Language Processing (NLP), Forecasting, Clustering, Recommendation Engines, Network Analysis (Graph Theory), and Regressions * Experience in any of the following AI/ML concepts: Cross Validation, Ensemble Methods, Over/Under Fitting, Accuracy/Precision/Recall * Experience in any of the following computer science concepts: Object Oriented Programming, Hashing, Space Complexity, and Parallel Processing (Multiprocessing) * Non-Technical Requirements * Experience in managing and ideating a proof-of-concept while leading the proceeding phases; Development, Testing, Deployment, and Maintenance * Experience in mentoring junior resources Preferred Qualifications * Technical Platform Requirements * Experience in any of the following on-demand cloud computer platforms: AWS, GCP, and Azure * Experience in GenAI related tools for workflow orchestration such as: LlamaIndex, LangChain, MCP, RAG * Experience in any of the following additional platforms related to MLOps: MLFlow, GitLab CI * Exposure to serving models: FastAPI, Flask #LI-TL1 Total Wellbeing Our goal is to support the wellbeing of you and your families-physically, emotionally, and financially. We offer comprehensive benefits such as the following: * Competitive total compensation, including bonus earning potential * Full package of benefits plans, including medical, dental, and vision coverage along with life and disability insurance * Generous paid time off and holidays * Company matched 401(k) retirement savings plan * Potential for flexible work arrangements * Generous paid parental leave with available planning tools, virtual expert coaching services and flex return support. * Family care benefits, including back-up child/elder care * Employee wellness platform * Employee recognition programs * Paid time off for volunteering in your community * Corporate matching for charitable donations most important to you * Make an impact in our communities through company sponsored pro bono work * Professional development and certification programs * Free in-office snacks and drinks * Free smartphone and cellular plan (if applicable) * FTI Perks & Discounts at retailers and businesses * Upscale offices close to public transportation About FTI Consulting FTI Consulting, Inc. is the leading global expert firm for organizations facing crisis and transformation, with more than 7,900 employees located in 32 countries and territories. Our broad and diverse bench of award-winning experts advise their clients when they are facing their most significant opportunities and challenges. The Company generated $3.7 billion in revenues during fiscal year 2024. In certain jurisdictions, FTI Consulting's services are provided through distinct legal entities that are separately capitalized and independently managed. FTI Consulting is publicly traded on the New York Stock Exchange. For more information, visit ********************* and connect with us on Instagram and LinkedIn. FTI Consulting is an equal opportunity employer and does not discriminate on the basis of race, color, national origin, ancestry, citizenship status, protected veteran status, religion, physical or mental disability, marital status, sex, sexual orientation, gender identity or expression, age, or any other basis protected by law, ordinance, or regulation. Compensation Disclosure: Actual compensation is determined based on a wide array of relevant factors including market considerations, business needs, and an individual's location, skills, level of experience, and qualifications. Additional Information * Job Family/Level: Op Level 2 - Senior Consultant * Citizenship Status Accepted: Not Applicable * Exempt or Non-Exempt?: Exempt Compensation * Minimum Pay: 69000 * Maximum Pay: 166000

Data Science Senior Advisor Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What's more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Data Science Senior Advisor in our Data Science team in Hopkinton, Massachusetts or Round Rock, Texas. What you'll achieve As a Data Science Senior Advisor, you will be responsible for contributing to business strategy and influence decision making based on information gained from deep dive analysis. You will produce actionable and compelling recommendations by interpreting insights from complex data sets. You will design processes to consolidate and examine unstructured data to generate actionable insights. You will also partner with business leaders, engineers and industry experts to construct predictive models, algorithms and probability engines. You will: * Solve business and customer issues utilizing AI/ML * Build prototypes and scalable AI/ML solutions that will be integrated into software products * Collaborate with software engineers, business stakeholders and product owners in an Agile environment * Have complete ownership of model outcomes and drive continuous improvement Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here's what we are looking for with this role: Essential Requirements * Proficient with writing sophisticated, clean, and object oriented Python code * Strong background in math, statistics, and machine Learning knowledge (deep learning, NLP, classification, forecasting, regression) with experience in ML model deployment * Ability to work with internal stakeholders to transfer business questions into data science problem statements * Ability to effectively communicate data science progress to non-technical internal stakeholders and ability to lead a team of data scientists * 5+ years of experience as a data scientist Desirable Requirements * Master's or PhD in a quantitative discipline. * Professional experience with LLM/Agentic technologies Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $160,000 - $206,000. Benefits and Perks of working at Dell Technologies Your life. Your health. Supported by your benefits. You can explore the overall benefits experience that awaits you as a Dell Technologies team member - right now at MyWellatDell.com Who we are We believe that each of us has the power to make an impact. That's why we put our team members at the center of everything we do. If you're looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we're looking for you. Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us. Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here.

Join a team where innovation meets impact. As a Senior Data Scientist, you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong coding skills and experience in Natural Language Processing (NLP), who is excited to explore and apply emerging AI technologies in a practical, responsible, and scalable way. Key Responsibilities Apply LLMs and other Generative AI tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI. Source, clean, and prepare structured and unstructured data for model input and evaluation. Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement. Collaborate with cross-functional teams including risk, compliance, and model validation to ensure responsible AI usage. Stay current with advancements in Generative AI and NLP, and assess their applicability to banking use cases. Document methodologies, findings, and model usage clearly for both technical and non-technical audiences. Qualifications Required: 4+ years of experience in data science, analytics, or applied machine learning. Strong proficiency in Python and experience working in notebook environments. Experience with NLP techniques and libraries (e.g., spa Cy, NLTK, Hugging Face). Demonstrated ability to work with unstructured text data and apply text processing techniques. Experience sourcing and preparing data from various systems and formats. Strong communication and collaboration skills, including technical writing and stakeholder engagement. Preferred: Exposure to Generative AI tools and pre-trained LLMs (e.g., GPT, Claude, Gemini). Experience with creating robust orchestration plans to solve business problems. Exposure to creating agentic workflows and systems. Experience working with model validation teams or regulators. Familiarity with prompt engineering and evaluation of LLM outputs. Education Required: Master's Degree in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday Hybrid: 4 days on site from a Citizens corporate office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for UsAt Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. Are you passionate about building robust data ecosystems that power advanced analytics and business insights? Join our dynamic team as a Data Engineer III, where you'll design and implement cutting-edge data pipelines, integrate diverse data sources, and ensure the highest standards of data quality, security, and compliance. This is your opportunity to work on impactful projects that shape the future of data-driven decision-making. What You'll Do Architect & Innovate: Design and maintain scalable data pipelines and infrastructure for ingestion, integration, and storage of structured and unstructured data. Enable Analytics: Deliver clean, reliable datasets for Business Intelligence, Advanced Analytics, and Data Science teams. Optimize Performance: Implement modern practices using Microsoft Fabric, SQL Server, SSIS, Power BI Premium, and big data frameworks like Spark. Ensure Quality: Validate solutions through rigorous testing and maintain data integrity across all systems. Collaborate & Lead: Partner with Product Owners, Architects, Analysts, and Data Scientists on medium-to-large projects, and lead small-to-medium initiatives independently. Drive Continuous Improvement: Automate processes, optimize data delivery, and redesign infrastructure for scalability. What We're Looking For Prefer 4 year/bachelor's degree or master's degree in computer science, Information Technology, Computer Engineering, or equivalent experience 5+ years relatable work experience Ability to design and optimize SQL queries across cloud data warehouses, with strong proficiency in T‑SQL. Skilled in data orchestration and ETL tools such as Azure Data Factory or SSIS, and eager to adopt Fabric Data Factory (Pipelines & Dataflows Gen2). Background in CI/CD and version control for data solutions (e.g., Git, deployment pipelines), with interest in DevOps practices for analytics platforms. Familiarity with modern data lake architectures, including Delta Lake and medallion design patterns. Knowledge of columnar storage formats and lakehouse technologies such as Delta Lake and Parquet for scalable data processing. Hands-on work with big data frameworks like Apache Spark (PySpark or Scala) for batch workloads is helpful. Understanding BI and semantic modeling concepts, including star schema design and performance tuning is helpful. Compensation, Grade, and Job Title will be determined based on qualifications, experience, and technical skillset. Well qualified candidates may be considered for a data engineer IV. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, paid time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce. #LI-TA1

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $145,000/year to $204,000/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.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **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:** 02/15/2026 *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 _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 (***************************************************************************************************************************

The Center for Immune Oncology (CIO) at the Dana Farber Cancer Institute (DFCI) seeks a highly motivated **Senior Scientist** to support advanced analytics and data integration efforts across imaging, spatial proteomics, and high-dimensional cytometry data. The successful candidate will play a key role in processing, analyzing, and modeling complex biomedical data - integrating spatial imaging, CyTOF, and clinical data - to enable discovery and translational research collaborations within the CIO. Located in Boston and the surrounding communities, Dana-Farber Cancer Institute is a leader in life-changing breakthroughs in cancer research and patient care. We are united in our mission of conquering cancer, HIV/AIDS and related diseases. We strive to create an inclusive, diverse, and equitable environment where we provide compassionate and comprehensive care to patients of all backgrounds, and design programs to promote public health, particularly among high-risk and underserved populations. We conduct groundbreaking research that advances treatment, we educate tomorrow's physicians/researchers, and we work with amazing partners, including other Harvard Medical School-affiliated hospitals. + Perform **imaging and image analysis** for spatial proteomics and multiplexed imaging datasets. + Conduct **CyTOF and FCS data analysis** , including data preprocessing, normalization, clustering, and visualization. + Analyze **medical record data** , integrating structured and unstructured clinical information as appropriate. + Manage and wrangle **large, multimodal datasets** , including high-resolution images and patient-level data. + Support **database integration** , including interoperability and linkage with **REDCap** and other institutional data systems. + Provide **analytic and statistical support** for CIO projects - emphasizing development of custom models, analytical pipelines, and reproducible outputs for collaborative teams. + Develop and deliver **high-quality graphics and visualizations** to communicate findings effectively to both scientific and clinical collaborators. + Proficiency in **R** and/or **Python** , with experience in reproducible data analysis workflows. + Demonstrated ability in **data wrangling** , transformation, and integration of heterogeneous data sources. + Experience working in **computational immunology** . Human immuno-oncology research in an academic or industry setting analyzing clinical trial biomarkers is a plus. + Hands-on experience with **image analysis and processing** , particularly in biological or clinical imaging contexts. + Strong understanding of **statistical modeling** and computational methods for large datasets. + Experience working in **Unix/Linux cluster environments** , using **Git/GitHub** , and containerized workflows (e.g., Docker, Singularity). + Proficiency with reproducible research and reporting tools such as **Jupyter** , **R Markdown** , **Quarto** , and **Posit Connect** (or similar). + Strong communication and collaboration skills, including ability to document, present, and explain complex analyses to multidisciplinary teams. + Advanced degree (PhD) in **bioinformatics, computational biology, data science, biostatistics, or a related field** . 6+ years experience post education and 1+ year management responsibility. + Experience with **spatial omics** , **single-cell** data, or **multimodal integration in human disease contexts** . + A good working knowledge of molecular and disease biology, especially familiarity with immunology. + Familiarity with **medical informatics** , **clinical data standards** , or **REDCap API/database programming** . **Pay Transparency Statement** The hiring range is based on market pay structures, with individual salaries determined by factors such as business needs, market conditions, internal equity, and based on the candidate's relevant experience, skills and qualifications. For union positions, the pay range is determined by the Collective Bargaining Agreement (CBA) $95,000 - $125,100 **Environment and Opportunities** The position offers opportunities to collaborate across a diverse set of projects within the Center for Immuno-Oncology (CIO), working closely with experts in computational biology, immunology, and clinical research. The Scientist II/Senior Scientist will sit within the Department of Data Science (DS) and be mentored by faculty directors from both CIO and DS. They will contribute within a small team to data-driven discovery, developing robust and scalable analytic tools for translational research. At Dana-Farber Cancer Institute, we work every day to create an innovative, caring, and inclusive environment where every patient, family, and staff member feels they belong. As relentless as we are in our mission to reduce the burden of cancer for all, we are equally committed to diversifying our faculty and staff. Cancer knows no boundaries and when it comes to hiring the most dedicated and diverse professionals, neither do we. If working in this kind of organization inspires you, we encourage you to apply. Dana-Farber Cancer Institute is an equal opportunity employer and affirms the right of every qualified applicant to receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, national origin, sexual orientation, genetic information, disability, age, ancestry, military service, protected veteran status, or other characteristics protected by law. **EEOC Poster**

Join a team where innovation meets impact. As a Senior Data Scientist, you will help drive the bank's adoption of Generative AI by leveraging Large Language Models (LLMs) to solve business problems, enhance customer experiences, and streamline internal operations. This role is ideal for someone with strong coding skills and experience in Natural Language Processing (NLP), who is excited to explore and apply emerging AI technologies in a practical, responsible, and scalable way. Key Responsibilities Apply LLMs and other Generative AI tools to solve real-world problems across the bank, including summarization, classification, information extraction, and conversational AI. Source, clean, and prepare structured and unstructured data for model input and evaluation. Conduct exploratory data analysis and apply statistical techniques to support model evaluation and refinement. Collaborate with cross-functional teams including risk, compliance, and model validation to ensure responsible AI usage. Stay current with advancements in Generative AI and NLP, and assess their applicability to banking use cases. Document methodologies, findings, and model usage clearly for both technical and non-technical audiences. Qualifications Required: 4+ years of experience in data science, analytics, or applied machine learning. Strong proficiency in Python and experience working in notebook environments. Experience with NLP techniques and libraries (e.g., spa Cy, NLTK, Hugging Face). Demonstrated ability to work with unstructured text data and apply text processing techniques. Experience sourcing and preparing data from various systems and formats. Strong communication and collaboration skills, including technical writing and stakeholder engagement. Preferred: Exposure to Generative AI tools and pre-trained LLMs (e.g., GPT, Claude, Gemini). Experience with creating robust orchestration plans to solve business problems. Exposure to creating agentic workflows and systems. Experience working with model validation teams or regulators. Familiarity with prompt engineering and evaluation of LLM outputs. Education Required: Master's Degree in Computer Science, Mathematics, Statistics, or a related field. Hours & Work Schedule Hours per Week: 40 Work Schedule: Monday - Friday Hybrid: 4 days on site from a Citizens corporate office, 1 day remote #LI-Citizens1 Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance. Equal Employment Opportunity Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague's or a dependent's reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability. Why Work for UsAt Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth Background Check Any offer of employment is conditioned upon the candidate successfully passing a background check, which may include initial credit, motor vehicle record, public record, prior employment verification, and criminal background checks. Results of the background check are individually reviewed based upon legal requirements imposed by our regulators and with consideration of the nature and gravity of the background history and the job offered. Any offer of employment will include further information.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, 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. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **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:** 11/05/2025 *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. _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 (***************************************************************************************************************************