Senior data scientist jobs in Alaska - 32 jobs

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

**Anywhere** **Type:** Permanent **Category:** Development **Industry:** Retail **Workplace Type:** Remote **Reference ID:** JN -122025-104840 **Shortcut:** ********************************** + Description + Recommended Jobs **Description:** A leading home improvement specialty retailer operating 2,300+ stores across the U.S., Canada, and Mexico is seeking a talented Sr. Data Scientist to drive business profitability and customer experience through advanced analytics. This is a hybrid role working 4 days/week onsite near Smyrna. Relocation assistance is available if needed. _This is a full-time, permanent opportunity, offering a competitive salary and comprehensive benefits package. Qualified applicants must be willing and able to work on a w2 basis._ _Rate: $150k - $160k / yr. w2_ **Responsibilities:** - Design and develop sophisticated algorithms and models using large datasets - Create business insights through advanced analytical methodologies - Collaborate with cross-functional teams to solve complex business challenges - Mentor junior data science team members - Identify and leverage new business opportunities through data science **Experience Requirements:** - Demonstrated experience in pricing analytics or optimization - Strong understanding of prescriptive pricing and dealer discounting strategies - Experience with operations research and optimization value space problems - Strong Python programming skills - Demonstrated ability to communicate technical insights to business leaders Preferred Skills: - Experience with Google BigQuery, SQL - Optimization tools (e.g., Gurobi) - Tableau or similar data visualization software **Education Requirements:** - Master's or PhD in Computer Science, Math, Statistics, or related field **_Recruitment Transparency Notice_** **_Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (_** **_noreply@eliassen.com_** **_, ************* inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group's use of these tools, including AI tools, as part of the application and hiring process._** _Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range._ _W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality._ _Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact_ _********************_ _._ _About Eliassen Group:_ _Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate._ _Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status._ _Don't miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!_

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, Analytics (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:** $210,000/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.

Regarding decisions, inspiring creativity, and driving development, we really believe in the power of data. By means of modern data analytics, we streamline mountains of data and derive insightful conclusions, therefore confirming our leadership in [industry]. We are looking for a Data Scientist that is passionate and competent to join our team and help us to uncover trends, solve difficult problems, and guide our strategy with data-driven decisions. We are looking for a data enthusiast ready to contribute to our team and have impact. List of duties: summary Operating at the junction of data and strategy, applying your analytical talents to derive insights, build predictive models, and drive decision-making will help you to be a Data Scientist. Working in multidisciplinary teams, your responsibilities will include identifying problems the business faces, compiling pertinent information, and creating models to solve those problems and raise performance. Your efforts will shape the direction of our business toward better, more informed decisions. Important Purposes: Analyzing large data sets for trends, patterns, and linkages will help your business find practical insights. To handle challenging problems, create and run statistical models, machine learning methods, and predictive analytics. Once you understand the objectives and requirements of the business stakeholders, create data-driven solutions from those. Working with analysts and engineers helps you to strengthen data pipelines and frameworks. Create and perform experiments, simulations, and A/B testing to test concepts and improve company strategy. Make interesting images to show audiences both with and without technical understanding complex data insights. Create and update reports and dashboards to monitor key corporate data points. Over all projects, uphold correctness, quality, and data integrity. Keeping up with the most recent news in data science, machine learning, and analytics can help you to maintain your methods and approaches current. Goods required: To apply, candidates have to be permanent residents or legal citizens from the United States. strong in mathematics, statistics, data science, computer science, or a closely allied field ( Master's or Ph.D. advised). Three years or more of pertinent employment experience as a data scientist or similar, ideally accompanied by a body of work to highlight. Knowledge of SQL, R, or Python is necessary; experience with large data systems like Hadoop or Spark is a benefit. competent in applying several machine learning models and libraries like Keras, TensorFlow, and scikit-learn. strong grasp of statistics, data visualization techniques, and experimental design. Mastery of large data collections, data cleansing and transformation, and data wrangling. Excellent writing and verbal skills; proficient in both layperson and expert explanation of difficult results. Having dealt with clouds like AWS, GCP, or Azure would be a benefit. Data scientists are driven by an unquenchable curiosity and a passion of solving problems. Rendered Services: Work flexible hours from anywhere. Competitive and thorough pay scale and benefits package. the opportunity to develop one's skills and propel forward in their profession. Workplace norms supporting diversity, innovation, and teamwork. Having the chance to support creative, practically significant data science projects.

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. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#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: $104,000-$130,000 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 (**************************************** .

Value-Based Care (VBC) Analytics is an independent organization covering the Baylor Scott & White Health Plan (Payer) and Baylor Scott & White Quality Alliance (Accountable Care Organization) analytical and data science needs. We are seeking a customer-facing Healthcare Data Scientist who works closely with key business stakeholders within the value-based care team, to develop use cases related to difficult to solve and complex business challenges. The ideal candidate will work on creating machine learning models using appropriate techniques to derive predictive insights that enable stakeholders to glean insights and enable actions to improve business outcomes. **ESSENTIAL FUNCTIONS OF THE ROLE** + Communication and Consulting: Summarize and effectively communicate complex data science concepts to inform stakeholders, gain approval, or prompt action from non-technical audience from data-driven recommendations. + Applied Machine Learning: Implement machine learning solutions within production environments at scale. Apply appropriate machine learning techniques that directly impact HEDIS/Stars initiatives + Data Collection and Optimization: Collect and analyze data from a variety of SQL environments (Snowflake, SQL Server) and other data sources, including vendor derived data, electronic health records, and claims data. + Analyze Healthcare Data: Conduct detailed analyses on complex healthcare datasets to identify trends within HEDIS/Stars and utilization, patterns, and insights that support value-based care initiatives, particularly in quality, adherence to standards of care. + Stay Informed: Stay up to date on the latest advancements in data science and healthcare analytics to continuously improve our methodologies and tools. **KEY SUCCESS FACTORS** The ideal candidate will have some of the following skills and an eagerness to learn the rest. + Healthcare Knowledge: Understanding and prior experience in handling data pertaining to HEDIS, Stars measures and Regulatory specifications. Experience in admin claims data sources such as medical/pharmacy claims, social determinants of health (SDOH) and electronic health records is also required. + Education: Bachelor's or advanced degree in mathematics, statistics, data science, Public Health or another quantitative field. + Effective Communication: Experienced in communicating findings and recommendations directly to Executive-level customers and healthcare professionals. + Analytics Skills: Academic or professional experience conducting analytics and experimentation using algorithms associated with advanced analytics topics, including binary classification algorithms, regression algorithms, Neural Network frameworks, Natural Language Processing, etc. + Technical Skills: Proficiency in common language / tools for AI/ML such as Python, PySpark. Understanding of software engineering topics, including version control, CI/CD, and unit tests. + Problem Solving: A passion for solving puzzles and digging into data. + Technology Stack: Familiarity with deploying data science products at scale in a cloud environment such as Snowflake, Databricks or Azure AI/ML Studio. **BENEFITS** Our competitive benefits package includes the following + · Immediate eligibility for health and welfare benefits + · 401(k) savings plan with dollar-for-dollar match up to 5% + · Tuition Reimbursement + · PTO accrual beginning Day 1 Note: Benefits may vary based upon position type and/or level **QUALIFICATIONS** - EDUCATION - Masters' or Bachelors plus 2 years of work experience above the minimum qualification - EXPERIENCE - 3 Years of Experience As a health care system committed to improving the health of those we serve, we are asking our employees to model the same behaviours that we promote to our patients. As of January 1, 2012, Baylor Scott & White Health no longer hires individuals who use nicotine products. We are an equal opportunity employer committed to ensuring a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

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

We are looking for a data scientist that will us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be in applying data mining techniques, doing statistical analysis, and building high quality prediction systems integrated with our products. {{Depending on your needs, you can write very specific here, like: “automate scoring using machine learning techniques”, “build recommendation systems”, “improve and extend the features used by our existing classifier”, “develop internal A/B testing procedures”, “build system for automated fraud detection”, etc.}} Google Responsibilities Selecting features, building and optimizing classifiers using machine learning techniques Data mining using state-of-the-art methods Extending company's data with third party sources of information when needed Enhancing data collection procedures to include information that is relevant for building analytic systems Processing, cleansing, and verifying the integrity of data used for analysis Doing ad-hoc analysis and presenting results in a clear manner Creating automated anomaly detection systems and constant tracking of its performance test shecdule 8 hrs Budefeted hours 6

The Senior Biostatistician is expected to have a thorough understanding of advanced statistical methods and develop an understanding of innovative statistical approaches (e.g., simulations, adaptive designs, Bayesian statistics). The Senior Biostatistician is also expected to have a thorough understanding of the DMC process and may assume the functional lead role within a designated DMC project team, involving facilitation of DMC meetings, awareness and active monitoring of project budgets, hours budgeted/spent, timelines, and will be actively contributing to systematic regular project status reviews. We offer structured peer mentoring and technical and management career development opportunities with exposure to clinical trials in many disease indications with a range of statistical methods across drugs, biologics, devices, and vaccines. + Develop and review input for DMC activities (charter, statistical analysis plan, mock shells, specifications, analysis, programming and validation, DMC meetings, meeting minutes). + Review and perform oversight of analysis plans, statistical analyses, outputs, and datasets provided by another vendor. + May serve as functional lead on DMC project teams. + Liaise with client/DMC for clarification on any technical decisions and propose most efficient, successful solutions. + Interact and coordinate with client staff and DMC members. + Participate in project team meetings and DMC meetings on a regular basis. + Provide statistical advice in project team setting. + Identify risks to project deliverables and timelines, develop and implement the mitigations for these risks. + Stays current regarding requirements to ensure quality control and audit readiness of all assigned biostatistics deliverables as well as accuracy and reliability of statistical analysis results. + Accurately review and report project forecasting and actual hours as scheduled per agreed scope for biostatistics tasks. + Understand and follow all relevant SOPs. + Understand and adhere to project specific clinical protocols. + Mentor Biostatisticians. + May coordinate activities of other personnel. + Master's degree or PhD in Biostatistics, Statistics, or related field. + With PhD, a minimum of 3 years of industry experience, with MS a minimum of 5 years of industry experience. + SAS programming skills; R a plus. + Strong organizational and multi-tasking skills are required, as are excellent verbal and written communication skills. + Prior DMC experience required. Cytel Inc. is an Equal Employment / Affirmative Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.

The **Enterprise** **Fraud Strategy** group provides bank-wide support for detecting, preventing, and investigating fraudulent activity across multi-channel payment systems. The **Fraud Data Scientist** reports directly to the Manager, Fraud Reporting & Analytics, supporting business reporting and analytical needs for fraud initiatives. The **Fraud Data Scientist** works as a member of a reporting and analytics team and utilizes tools for conducting analytics for managing fraud strategies, as well as creating reports consumed by LOB (lines of business) senior executives. This is a subset of the overall responsibilities which involves other multiple initiatives as assigned by Bank Operations leadership. **This role is hybrid (Mon through Thu on-site / Fri remote) for candidates in the Kansas City metropolitan area and open to qualified remote candidates outside of the Kansas City area but only within the US.** **_How you'll spend your time:_** + Work closely across the organization to develop and implement statistical analysis, artificial intelligence, machine learning processes and algorithms, and deep learning for fraud modeling. + Use dynamic techniques like Machine Learning to gain insights about the future. + Answer the "What will happen, and What should be done?" questions. + Gather business detail from peers and internal customers to adapt/enhance models. + Routinely measure model performance and implement modifications as needed. **_We're excited to talk if you have:_** + Master's Degree in Computer Science, Math, Economics, Statistics, or another quantitative field and 2+ years of unsupervised data modeling and segmentation experience **OR** any combination of education and experience that would provide an equivalent background. + Proven expert level foundation of math, statistics, and programming. + Demonstrated hands-on working knowledge of R or Python, Snowflake, SQL Server or similar database management tool and visualization tools such as Tableau or Power BI. + Superior critical thinking skills. + Strong proficiency in statistical algorithm development and evaluation. + Proficiency in advanced statistics, hyperparameter tuning, A/B Testing, predictive modeling, recommendation systems, propensity scoring, natural language processing, clustering, customer segmentation, data acquisition, mining structured and unstructured data, designing tools, automation systems, and data frameworks. **_Bonus Points if you have:_** + Banking or financial services industry experience. + Fraud reporting or analytics experience. **Applicants must have legal authority to work in the United States. Work Visa sponsorship not available for this position.** Deadline to Apply: March 8, 2026 **Compensation Range:** $69,230.00 - $149,000.00 _The posted compensation range on this listing represents UMB's standard for this role, but the actual compensation may vary by geographic location, experience level, and other job-related factors. In addition, this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information._ UMB offers competitive and varied benefits to eligible associates, such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical, dental, vision, and other insurance coverage; health savings, flexible spending, and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary. **Are you ready to be part of something more?** You're more than a means to an end-a way to help us meet the bottom line. UMB isn't comprised of workers, but of people who care about their work, one another, and their community. Expect more than the status quo. At UMB, you can expect more heart. You'll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing, no matter what. And, expect more opportunities. UMBers are known for having multiple careers here and having their voices heard. _UMB and its affiliates are committed to inclusion and diversity and provide employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex (including gender, pregnancy, sexual orientation, and gender identity), national origin, age, disability, military service, veteran status, genetic information, or any other status protected by applicable federal, state, or local law. If you need accommodation for any part of the employment process because of a disability, please send an e-mail to_ _*************************_ _to let us know the nature of your request._ _If you are a California resident, please visit our_ Privacy Notice for California Job Candidates (*********************************************************************************************************************************** _to understand how we collect and use your personal information when you apply for employment with UMB._ **_Who we are_** We are more than a company. We are advisors, consultants, problem solvers, friends, community members, experts, and we are here to help you make the best of every moment with a financial foundation that can help you succeed. Learn more about UMB's vision (****************************************************************************************************** Check out the road to a career at UMB

**Job Title:** Data Management Lead (Medical Affairs) - Oncology **About Us:** At Parexel, we are dedicated to advancing clinical research and supporting medical affairs with innovative solutions. We are seeking a dynamic and experienced Data Management Lead to join our team. If you have a passion for clinical research, strong project management skills, and a knack for data management, we want to hear from you! **Who You Are:** **Required:** + BS or MS in Life Sciences, Data/Computer Science, OR equivalent industry experience. + 7+ years experience in pharmaceutical/biotech clinical data management / Biometrics (clinical trial data and/or Real World Data) + Medical affairs experience (Phase IIIB - IV trials experience); Late Phase Oncology + Strong project management experience + Demonstrated collaboration and superb communication skills, both written and oral (proficiency in English required). + Proficient in CDISC data standards, ICH-GCP, and working in regulated environments, with a solid understanding of biological principles and scientific curiosity. + Validated project management skills, capable of managing multiple requests and priorities, with proven leadership in decision-making, negotiation, motivation, and influencing. + Experience with data analytics and visualization tools, an entrepreneurial mindset, self-direction, and the ability to mentor others while learning new techniques. + Experience in leading DM study teams, overseeing trial data activities, and collecting clinical trial and/or Real World Data, with a good understanding of molecule and disease area strategies and the healthcare environment. + Ownership and accountability relative to key accountabilities in the job description. + Ability to travel as required. + Written and oral fluency in English. **Preferred:** + Proficiency in programming languages such as SAS, R, Python, and SQL, with experience in advanced analytics approaches (e.g., machine learning, AI). + Proficient with tools for analyzing large data sources with computationally intensive steps (e.g., SQL, parallelization, Hadoop, Spark) and producing interactive outputs (e.g., Shiny, Tableau). + Experience with SDTM implementation, CDISC standards, standardized technologies (e.g., MedDRA, WHODrug), and reproducible research practices like version control and literate programming. + BSN, RN, RPh, Pharm D, PA, MPH, or other applicable health professional credentials, with contributions to open-source packages, libraries, or functions. **What you will be doing:** **Responsibilities will include:** + Develop risk management strategies and proactively manage timel What ines to ensure successful oversight and delivery of studies and projects. + Engage with stakeholders to understand their needs, influence their understanding of decisions, inform them of key deliverables, and adapt to changing milestones. + Partner with relevant functions for external data vendor selection and management, ensuring standards-compliant data transfer agreements and fit-for-purpose data models. + Advise teams and stakeholders on best practices for data collection, propose innovative solutions, and ensure high-quality, compliant data. + Use surveillance tools to review data at an aggregate level, identifying patterns or anomalies to ensure high-quality results. + Organize and integrate data from various sources, maintaining its value through the application of FAIR principles, and support stakeholders' data insight needs from collection to analysis. **Cross-functional Data Management Leadership:** + Manage and coordinate the integration and utilization of all ancillary systems. + Highlight issues/risks to delivery by understanding interdependencies. Define mitigations and drive resolution with cross-functional stakeholders as part of the Risk Management Plan. + Review and analyze metrics to derive meaningful summaries of study health and trends. + Review Master Services Agreements, Service Level Agreements, and contracts to manage toward sponsor-specific metric targets/Key Performance Indicators. + Attend cross-functional meetings, prepare meeting agendas and minutes, and comply with action and decision logs. **Project Financial and Resource Management:** + Ensure appropriate project-level resourcing of staff and staff assignments. + Regularly review and update Data Management resources to ensure alignment with contracted budgets, project resource forecasts, actuals, and demand. + Determine and resolve the root cause of Data Management-related project variances in a timely manner, including negotiating/raising changes in scope. **Company Initiatives:** + Provide Data Management functional input, considering the impact on Data Management and Parexel as a whole. + Support other functions by providing meaningful feedback on initiatives. + Ensure Parexel-requested information entered into management systems is accurate and regularly updated. **Training:** + Maintain training compliance as per job roles assigned, including on-the-job training. + Deliver project-specific training to internal Data Management teams. + Address training needs based on identified development goals. \#LI-REMOTE EEO Disclaimer Parexel is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to legally protected status, which in the US includes race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

**A Day in the Life:** The IBM Sterling Senior MFT Engineer will have expertise in Sterling B2B Integrator, Sterling File Gateway, Sterling Secure Proxy, Control Center. This position requires an expert level knowledge of these technologies. You'll provide third-level support for core hardware, software, data and infrastructure components within the B2B integration team. The software focus areas will include software infrastructure components, continuous improvement and automation related to middleware and enterprise data movement within a mission-critical, multi-site enterprise environment. The ideal candidate will have a passion for technology; possess the ability to create change and be the facilitator for this transformation. They will have experience tailoring software design, developing, and implementing of solutions in support of data quality and automation. They will need to understand the requirements of a project, test the performance of the infrastructure, and verify that the requirements have been successfully met. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** TECHNICAL SENIORSHIP + Communication with internal and external business users on Sterling Integrator mappings + Making changes to existing partner integrations to meet internal and external requirements + Design, develop and implement solutions based on standards and processes that establish consistency across the enterprise data, reduce risks, and promote efficiencies in support of the organizational goals and objectives. + Diagnose and troubleshoot complex issues, restore services and perform root cause analysis. + Facilitate the review, vetting of these designs with the architecture governance bodies, as required. + Be aware of all aspects of security related to the Sterling environment and integrations INNOVATIVE INFRASTRUCTURE & PROBLEM SOLVING + Strive to engineering excellence by simplifying, optimizing, and automating processes and workflows. TEAMWORK & COMMUNICATION + Superior & demonstrated team building & development skills to harness powerful teams + Ability to communicate effectively with different levels of Seniorship within the organization + Provide timely updates so that progress against each individual incident can be updated as required + Write and review high quality technical documentation CONTROL & AUDIT + Ensures their workstation and all processes and procedures, follow organization standards CONTINUOUS IMPROVEMENT + Encourages and maintains a 'Best practice sharing culture', always striving to find ways to improve service and change mind set. **What We're Looking For:** + Bachelor's degree in Engineering, Statistics, Computer Science or other quantitative fields, required + 5+ years of IT experience + 4+ years' experience working with Sterling B2B Integrator, Sterling File Gateway, PCM (preferred) + 3+ years' experience with scripting to enable automation of standard activities (example: Ansible, Python, Bash, Java) + Strong interpersonal and communication skills with Agile/Scrum experience. + Strong problem solving and critical thinking skills with a proven record for identifying and diagnosing problems, and solving complex problems with simple, logical solutions with the ability to develop custom setups. + Outstanding verbal, written, presentation, facilitation, and interaction skills, including ability to effectively communicate technical and non-technical issues and concepts to multiple organization levels. + Prefer Travel, transportation, or hospitality experience + Prefer experience with designing application data models for mobile or web applications + Excellent written and verbal communication skills. + Flexibility in scheduling which may include nights, weekends, and holidays **What You'll Get:** + Up to 40% off the base rate of any standard Hertz Rental + Paid Time Off + Medical, Dental & Vision plan options + Retirement programs, including 401(k) employer matching + Paid Parental Leave & Adoption Assistance + Employee Assistance Program for employees & family + Educational Reimbursement & Discounts + Voluntary Insurance Programs - Pet, Legal/Identity Theft, Critical Illness + Perks & Discounts -Theme Park Tickets, Gym Discounts & more The Hertz Corporation operates the Hertz, Dollar Car Rental, Thrifty Car Rental brands in approximately 9,700 corporate and franchisee locations throughout North America, Europe, The Caribbean, Latin America, Africa, the Middle East, Asia, Australia and New Zealand. The Hertz Corporation is one of the largest worldwide airport general use vehicle rental companies, and the Hertz brand is one of the most recognized in the world. **US EEO STATEMENT** At Hertz, we champion and celebrate a culture of diversity and inclusion. We take affirmative steps to promote employment and advancement opportunities. The endless variety of perspectives, experiences, skills and talents that our employees invest in their work every day represent a significant part of our culture - and our success and reputation as a company. Individuals are encouraged to apply for positions because of the characteristics that make them unique. EOE, including disability/veteran

*****CANDIDATE MUST BE US Citizen (due to contractual/access requirements)***** available within the U.S.** In this role, you will be a key contributor to our data infrastructure, responsible for the design, development, and maintenance of efficient, reliable, and high-quality data flow and storage. Your expertise will drive real-time data ingestion and transformation processes, structuring data from diverse sources using Cloud platforms (Azure, GCP, AWS), Databases (BigQuery, Azure Data Explorer), and streaming technologies like Cribl, Kafka, and Azure Event Hubs. A primary responsibility will be creating impactful visualizations and dashboards for internal and enterprise reporting, leveraging tools like Power BI and Tableau to translate business needs into actionable insights. This role requires strong proficiency in scripting/query languages (KQL, SQL, Python, JavaScript) and strong skills in building and optimizing data pipelines, ensuring data quality and integrity throughout the data lifecycle. **ESSENTIAL RESPONSIBILITIES** + Design, develop, and maintain robust data processes and solutions to ensure the efficient movement and transformation of data across multiple systems + Develop and maintain data models, databases, and data warehouses to support business intelligence and analytics needs + Collaborate with stakeholders across IT, product, analytics, and business teams to gather requirements and provide data solutions that meet organizational needs + Monitor work against production schedule,provide progress updates, and report any issues or technical difficulties to lead developers regularly + Implement and manage data governance practices, ensuring data quality, integrity, and compliance with relevant regulations. + Collaborate on the design and implementation of data security measures, including access controls, encryption, and data masking + Mentor other associate and intermediate data engineers as needed + Perform data analysis and provide insights to support decision-making across various departments + Stay current with industry trends and emerging technologies in data engineering, recommending new tools and best practices as needed + Other duties as assigned or requested. **EXPERIENCE** **Required** + 5 years of experience in design and analysis of algorithms, data structures, and design patterns in the building and deploying of scalable, highly available systems + 5 years of experience in a data engineering, ETL development, or data management role. + 5 years of experience in SQL and experience with database technologies (e.g., MySQL, PostgreSQL, MongoDB). + 5 years of experience in data warehousing concepts and experience with data warehouse solutions (e.g., Snowflake, Redshift, BigQuery) **Preferred** + 7 years of experience with data pipeline and workflow management tools (e.g., Apache Airflow, AWS Glue, Azure Data Factory). + 7 years of experience defining system architectures and exploring technical feasibility trade-offs for optimizing short term execution while planning for long term technical capabilities + 7 years of experience working with a variety of technology systems, designing solutions or developing data solutions in healthcare + 7 years of experience with cloud platforms (AWS, Azure, GCP) and their respective data services + 7 years of experience in data governance, data quality, and data security best practices + 7 years of experience translating requirements, design mockups, prototypes or user stories into technical designs + 7 years of experience in producing data-related code that is fault-tolerant, efficient, and maintainable + 7 years of experience structuring and transforming data from multiple source systems. + 7 years of experience creating data visualizations and dashboards using Power BI or Tableau for internal and external audiences. + 7 years of experience using Cribl as a steaming and transformation solution. **SKILLS** + Demonstrated ability to achieve stretch goals in a highly innovative and fast-paced environment + Adaptability: Strong ability to take on diverse tasks and projects, adapting to the evolving needs of the organization + Analytical Thinking: Strong analytical skills with a focus on detail and accuracy + Interest and ability to learn other data development technologies/languages as needed + Technical Proficiency: Comfortable with a range of data tools and technologies, with a willingness to learn new skills as needed + Strong track record in designing and implementing large-scale data sources + Strong sense of ownership, urgency, and drive + Demonstrated passion for user experience and improving usability + Team Collaboration: A team player who can work effectively in cross-functional environments + Experience and willingness to mentor junior data engineers and help develop their skills and leadership **EDUCATION** **Required** + Bachelor's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **Preferred** + Master's degree in Computer Science, Information Systems, Data Science, Computer Engineering or related field **LICENSES or CERTIFICATIONS** **Required** + None **Preferred** + None **Language (Other than English):** None **Travel Requirement:** 0% - 25% **PHYSICAL, MENTAL DEMANDS and WORKING CONDITIONS** **Position Type** Office- or Remote-based Teaches / trains others Occasionally Travel from the office to various work sites or from site-to-site Rarely Works primarily out-of-the office selling products/services (sales employees) Never Physical work site required No Lifting: up to 10 pounds Constantly Lifting: 10 to 25 pounds Occasionally Lifting: 25 to 50 pounds Rarely **_Disclaimer:_** _The job description has been designed to indicate the general nature and essential duties and responsibilities of work performed by employees within this job title. It may not contain a comprehensive inventory of all duties, responsibilities, and qualifications required of employees to do this job._ **_Compliance Requirement_** _: This job adheres to the ethical and legal standards and behavioral expectations as set forth in the code of business conduct and company policies._ _As a component of job responsibilities, employees may have access to covered information, cardholder data, or other confidential customer information that must be protected at all times. In connection with this, all employees must comply with both the Health Insurance Portability Accountability Act of 1996 (HIPAA) as described in the Notice of Privacy Practices and Privacy Policies and Procedures as well as all data security guidelines established within the Company's Handbook of Privacy Policies and Practices and Information Security Policy._ _Furthermore, it is every employee's responsibility to comply with the company's Code of Business Conduct. This includes but is not limited to adherence to applicable federal and state laws, rules, and regulations as well as company policies and training requirements._ **Pay Range Minimum:** $78,900.00 **Pay Range Maximum:** $147,500.00 _Base pay is determined by a variety of factors including a candidate's qualifications, experience, and expected contributions, as well as internal peer equity, market, and business considerations. The displayed salary range does not reflect any geographic differential Highmark may apply for certain locations based upon comparative markets._ Highmark Health and its affiliates prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities and prohibit discrimination against all individuals based on any category protected by applicable federal, state, or local law. We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact the email below. For accommodation requests, please contact HR Services Online at ***************************** California Consumer Privacy Act Employees, Contractors, and Applicants Notice Req ID: J273322

Your Future. Secured. ISC2 is a force for good. As the world's leading nonprofit member organization for cybersecurity professionals, our core values - Integrity, Advocacy, Commitment, Inclusion, and Excellence - drive everything we do in support of our vision of a safe and secure cyber world. Our globally recognized, award-winning portfolio of certifications provide an independent and globally recognized endorsement of cybersecurity knowledge, skills and experience for all career levels. Our charitable arm, the Center for Cyber Safety and Education, enables ISC2 and our members to serve the public by educating the most vulnerable about cyber risks and empowering access to enter and thrive in the cyber profession. Learn more at ISC2 online and connect with us on Twitter, Facebook and LinkedIn. When you join ISC2, you'll demonstrate your commitment to an inclusive and equitable environment. Your support of the unique perspectives and experiences shared by our global cybersecurity workforce and profession will be recognized. We invite you to take an active role in helping us create a true sense of belonging across our organization - an environment of authenticity, trust, empowerment and connectedness that empowers all of our successes. Learn more. **Position Summary** The Senior Data Architect is the enterprise's authoritative leader for data architecture, governance, and data activation. With a data strategy and governance framework now established, this role is accountable for turning strategy into execution-operationalizing governance, maturing data practices, and advancing the data lake into a governed, insight-driven, activation-ready platform. This leader oversees the Data team (DBA and Data Engineer) and will define the next phase of the organization's data ecosystem-powering enterprise analytics, CDP activation, personalization, segmentation, AI/LLM enablement, marketing automation, reporting, and secure data use across the customer/member lifecycle. Success means shifting data from a passive asset to a scalable, trusted, revenue- and experience-driving capability. ****This position is not available to residents of California.**** **Responsibilities** **Data Governance & Policy Ownership** + Own, operationalize, and enforce the enterprise-wide data governance framework, standards, and stewardship model. + Define policies for classification, access, retention, lineage, and lifecycle management. + Lead or co-lead governance forums to drive adoption and accountability. + Ensure compliance with GDPR, CCPA/CPRA, and privacy/security standards. **Data Architecture Strategy & Execution** + Define and maintain the enterprise data architecture roadmap across warehouse, lake, CDP, Fabric, and analytical platforms. + Advance the data lake into a governed, curated, high-quality platform optimized for analytics and activation. + Architect conceptual, logical, and physical data models aligned to business needs. + Guide storage and architecture decisions (relational, dimensional, NoSQL, event-driven, lakehouse, etc.). **Data Enablement for Analytics, CDP & Personalization** + Partner with CX, Marketing, Product, and Technology teams to enable: + Segmentation & audience modeling + Personalization & progression marketing + Marketing automation & orchestration + CDP activation & identity resolution + Ensure data quality, availability, lineage, and readiness for reporting and advanced analytics. **Enterprise Collaboration & Governance Influence** + Serve as the primary architectural authority for data across CRM, LMS, ERP, ecommerce, CMS, CDP, BI, and marketing technologies. + Collaborate closely with Security, Architecture, Applications, and Infrastructure teams to ensure secure and resilient data use. + Represent data architecture in ARB/design authority processes. **Advanced Capabilities, LLMs & Self-Service Enablement** + Enable AI/ML and LLM use cases by ensuring governed, high-quality data pipelines and model-ready datasets. + Partner with data science and product teams to support generative AI, recommendation engines, and predictive analytics. + Lead the design and enablement of self-service analytics and data applications, empowering business users to securely access, explore, and activate data. + Evaluate and introduce emerging data architecture patterns, automation, and governance tooling (e.g., Fabric, lakehouse, semantic models). Perform other miscellaneous duties, as needed. **Behavioral Competencies** + High integrity in handling confidential data and regulatory requirements. + Demonstrated passion for data and data-driven business models. **Management Responsibility** + Lead and mentor the DBA and Data Engineer to establish modern engineering practices. + Oversee ingestion, transformation, pipelines, ETL/ELT, monitoring, and optimization. + Manage lifecycle: provisioning, upgrade, archival, and decommissioning of data systems. **Qualifications** + Proven ability to operationalize data strategies, not just design them. + Certifications in cloud, data architecture, or governance frameworks are an asset. + Strong SQL expertise; familiarity with NoSQL and modern data architectures. + Familiarity with LLM data requirements: grounding, retrieval, vectorization, data governance for AI/ML, and model readiness pipelines. + Strong business acumen-able to translate strategy into data capabilities. + Excellent stakeholder influence and communication skills. **Education and Work Experience** + Bachelor's degree in Computer Science, Data Management, IT, or related field. Will consider candidates with a high school diploma and 10 years of experience in data architecture; 7 years in a lead or enterprise data architect role. + 7+ years in data architecture; 5+ years in a lead or enterprise data architect role. + Experience governing enterprise data models, MDM, metadata, and stewardship programs. + Hands-on experience designing and governing data lakes, warehouses, and lakehouse architectures. + Leadership or mentorship experience with data teams (engineers, DBAs, analysts). + Experience with cloud platforms (Azure, AWS, or GCP). + Experience with Microsoft Fabric, Power BI, or lakehouse architecture highly desirable. + Programming experience (Python, Java, C#, etc.). + Experience enabling self-service analytics platforms or applications (e.g., semantic models, governed datasets, business-friendly data access layers). + Experience integrating data across CRM, ERP, LMS, ecommerce, CDP, or marketing ecosystems. + Exposure to personalization, segmentation, progression marketing, or data activation workflows. + Experience supporting AI/ML or LLM-driven solutions preferred. + Experience with GDPR/CCPA and privacy-by-design. + Experience in membership, association, or subscription-driven businesses, preferred. + Experience with ecommerce data and digital experience analytics, preferred. **Physical and Mental Demands** + Ability to travel up to 10% of time, may also include overnight and international travel. + Work normal business hours and extended hours when necessary. + Remain in a stationary position, often standing or sitting, for prolonged periods. + Regular use of office equipment such as a computer/laptop and monitor computer screens. + Dexterity of hands and fingers to operate a computer keyboard, mouse, and other computer components. **Equal Employment Opportunity Statement** All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic as protected by applicable law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. **Job Locations** _US-Remote_ **Posted Date** _1 month ago_ _(12/9/2025 4:29 PM)_ **_Job ID_** _2025-2282_ **_\# of Openings_** _1_ **_Category_** _Information Technology_

This posting is to gather interest for the Data Analytics Engineer I. We are not currently hiring, but will be contacting candidates when we have an opening. GCI's Data Analytics Engineer I will be responsible for designing, developing, and maintaining interactive dashboards and reports that support data driven decision making within the organization. This hybrid role combines the functions of data engineering and analytics engineering, enabling the organization to leverage large-scale data for actionable business insights. Position will collaborate with cross-functional teams to ensure the quality, efficiency, and scalability of data while providing advanced analytics solutions to enhance network performance, customer experience, and operational efficiency. ESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS: Analytics Engineering: Develop and implement data models, algorithms, and analytical solutions to derive insights from large datasets, including network performance analysis, customer behavior modeling, churn prediction, and operational optimization. Implement AI driven workflows against data within analytical projects. Create automated reporting and visualization tools (e.g., dashboards, KPI reports) to communicate insights to stakeholders and drive data-informed decision-making. Collaborate with business units to understand analytical needs and translate them into actionable data solutions. Data Engineering: Design, develop, and maintain robust data pipelines that efficiently collect, process, and transform data from various telecommunications sources (e.g., network performance, customer usage data, call data records, billing systems). Implement and manage ETL (Extract, Transform, Load) processes to ensure seamless integration of data from multiple systems into a centralized data warehouse or data lake. Ensure data quality and integrity by identifying, resolving, and preventing data discrepancies and errors. Optimize and streamline data storage and retrieval processes to support real-time and batch data analysis needs. Cross-Functional Collaboration: Work closely with data scientists, business analysts, and IT teams to design and implement visualizations that provide meaningful insights. Provide technical guidance and support to junior team members and other departments in data-related initiatives. Continuous Improvement & Innovation: Stay up to date with the latest trends and technologies in data engineering, analytics, and telecommunications. Identify opportunities to improve existing data systems, pipelines, and analytics models to drive greater efficiency and business impact. Contribute to the development and adoption of new data technologies, methodologies, and best practices within the organization. COMPETENCIES: ACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve. Take ownership and accountability of problems and facilitate finding a solution, involving other groups as necessary. Own and manage priorities and individual tasks without direct supervision. Take the initiative and seek out opportunities. Assess and accept risks and learn from mistakes. BASIC PRINCIPLES - Interacts with people in a way that builds mutual trust, confidence, and respect; adheres to GCI's Code of Conduct for Employees - the Basic Principles. Lead by example on all fronts. Guide development teams in a manner that creates success and allows for future self-sufficiency. Foster innovation and promote teamwork. COLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances. Build and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly. COMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally. Build and maintain effective working relationships with leadership, peers, customers, and vendors. Work to resolve problem relationships directly. Create clear and concise written documentation for a variety of audiences, including developers, business analysts and business users. COMPLIANCE - Follows internal controls; protects company and customer confidential information; abides by GCI's Code of Business Conduct & Ethics. Reviews modules for quality assurance. CUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction. Provide a professional level of service to both external and internal customers. RELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations. RESULTS - Uses a combination of knowledge, initiative, sound decision making, innovation, adaptability, and problem solving. SAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures. TECHNICAL COMPETENCIES - MS Office knowledge (e.g., Outlook, Teams, Word, Excel). Ability to Design, Evaluate, and test data infrastructure. Proficiency in SQL, Python, and R for data manipulation and analytics. Experience with big data technologies (e.g., Spark, Databricks) and cloud platforms (AWS, Azure, Google Cloud). Proficient with data visualization tools (e.g., Tableau, Power BI). Knowledge of machine learning algorithms and statistical analysis techniques. Familiarity with telecommunications systems and related data types (e.g., network performance metrics, call data records). Additional Job Requirements: Works under moderate supervision, supports the team with reasonably complex issues, processes and projects developing a stronger working knowledge of subject matter. Assist in the collection, processing, and cleaning of raw data from various sources (e.g., network performance, customer usage data, billing systems). Develop and maintain dashboards and reports. Write basic SQL queries to query and extract data for analysis. Assist senior team members with data preparation tasks, including data validation and transformation. Conduct basic exploratory data analysis (EDA) and assist in visualizing data for team reports. Document data processes and workflows to maintain clarity on pipeline structures and operational processes. Additional Competencies: Familiarity with SQL, Python, and data visualization tools (e.g., Tableau, Power BI). Ability to collaborate with cross-functional teams. Eagerness to learn and develop technical skills in data engineering and analytics. Basic understanding with ETL processes, data pipeline design, and data warehousing. Basic understanding of telecommunications systems, data, network architecture, and key performance metrics. Familiarity with spatial data analysis. Minimum Qualifications: Required: * A combination of relevant work experience and/or education sufficient to perform the duties of the job may substitute to meet the total years required on a year-for-year basis High School diploma or equivalent. Bachelor's degree in Computer Science, Data Science, Engineering, Telecommunications, or a related field. * Minimum of one (1) year of experience in data engineering, analytics engineering, or a related role in the telecommunications industry. * Preferred: Advanced degree (Master's or PhD) in Data Science, Machine Learning, or a related field. Familiarity with network optimization, customer experience analysis, or predictive analytics in telecommunications. Other telecom industry or job specific certifications. DRIVING REQUIREMENTS: This position may require access to reliable transportation for occasional travel, such as between retail store locations, offices, worksites, or other locations as needed. PHYSICAL REQUIREMENTS and WORKING CONDITIONS: Work is primarily sedentary, requiring daily routine computer usage. Ability to work shifts as assigned, work in standard office/home office setting, and operate standard office equipment. Ability to accurately communicate information and ideas to others effectively. Physical agility and effort sufficiently to perform job duties safely and effectively. Ability to make valid judgments and decisions. Available to work additional time on weekends, holidays, before or after normal work hours when necessary. Must work well in a team environment and be able to work with a diverse group of people and customers. Virtual workers must comply with remote work policies and agreements. The company and its subsidiaries operate in a 24/7 environment providing critical services to Alaskans and may need to respond to public health and safety matters or other business emergencies. Due to business needs employees may be contacted outside of the core business hours to respond to an immediate emergency. As such, you will be requested to provide emergency after hours contact numbers, to include your home and cell phone numbers if you have those services. Culture, Engagement, and Connection: At GCI, we foster an environment where the unique perspectives of our employees, customers, and fellow Alaskans are celebrated. We add value to our community by nurturing and empowering each member of our workforce, ensuring equal opportunities for every Trailblazer. EEO: GCI is an equal opportunity employer. Qualified applicants are considered for employment without regard to race, color, religion, national origin, age, sex, sexual orientation, gender identity, marital status, mental or physical disability, veteran status, or any other status or classification protected under applicable state or federal law. DISCLAIMER: The above information in this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications required of employees assigned to this job. All employees of GCI work in support of the GCI Mission Statement and Declaration of Principles which are located on the GCI Career page and Employee portal.

We are seeking a motivated Data Engineer to join our Data Engineering team. The ideal candidate will have exposure in Python, and SQL, and will be responsible for designing, developing, and maintaining robust data pipelines for structured, semi-structured, and unstructured data. This role is ideal for someone passionate about building scalable data solutions and enabling advanced analytics across the organization. **Key Responsibilities** + Design, develop, and optimize data pipelines using Python, Spark, and SQL. + Ingest, process, and analyze structured (e.g., relational databases), semi-structured (e.g., JSON, XML), and unstructured data (e.g., text, logs, images) from diverse sources. + Implement data quality checks, validation, and transformation logic to ensure data integrity and reliability. + Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions. + Develop and maintain data models, data dictionaries, and technical documentation. + Monitor, troubleshoot, and optimize data workflows for performance and scalability. + Ensure compliance with data governance, security, and privacy policies. + Support data migration, integration, and modernization initiatives, including cloud-based solutions (AWS, Azure, GCP). + Automate repetitive data engineering tasks and contribute to continuous improvement of data infrastructure. + Knowledge of any of the cloud platforms (AWS, Azure, GCP). + Understanding of data security, encryption, and compliance best practices. **Required Skills & Qualifications** + Bachelor's or Master's degree in Computer Science, Information Systems, Data Engineering, or a related field + Good programming skills in Python and SQL + Good problem-solving, analytical, and communication skills + Ability to work collaboratively in a fast-paced environment + Familiarity with data orchestration tools (e.g., Airflow, Prefect) + Exposure to data lake and data warehouse architectures (e.g., Snowflake, Databricks, Big query etc.) + Knowledge of containerization and CI/CD pipelines (e.g., Docker, Kubernetes, GitHub) + Familiarity with data visualization tools + Basic understanding of ETL/ELT concepts, data modeling, and data architecture **Location** New hires will be hired at the Cognizant office in **Plano, TX or Teaneck, NJ,** where you will work alongside other experienced Cognizant associates delivering technology solutions. Applicants must be willing to relocate to this major geographic area. While we attempt to honor candidate location preferences, business needs and position availability will determine final location assignment. **Start Date** New hires will start in **January or February 2026** . While we will attempt to honor candidate start date preferences, business need and position availability will determine final start date assignment. Exact start date will be communicated with enough time for you to plan effectively. **Salary and Other Compensation:** Applications are accepted on an ongoing basis. The annual salary for this position is $65,000.00 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Why Choose Us?** Cognizant delivers solutions that draw upon the full power and scale of our associates. You will be supported by high-caliber experts and employ some of the most advanced and patented capabilities. Our associate's diverse backgrounds offer multifaceted perspectives and fuel new ways of thinking. We encourage lively discussions which inspire better results for our clients. **Benefits** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **Work Authorization** Due to the nature of this position, Cognizant cannot provide sponsorship for U.S. work authorization (including participation in a CPT/OPT program) for this role. _Cognizant is always looking for top talent. We are searching for candidates to fill future needs within the business. This job posting represents potential future employment opportunities with Cognizant. Although the position is not currently available, we want to provide you with the opportunity to express your interest in future employment opportunities with Cognizant. If a job opportunity that you may be qualified for becomes available in the future, we will notify you. At that time you can determine whether you would like to apply for the specific open position. Thank you for your interest in Cognizant career opportunities._ Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

The Data Architect - Senior role is responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. This role combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. The Data Architect leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization. Additionally, they run moderate to complex projects independently and mentor staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems This role will work Monday-Friday during regular business hours. We are committed to offering flexible work options where approved and stated in the job posting. However, we are currently not considering candidates who reside or plan to reside in the following states: California, Connecticut, Hawaii, Illinois, New York, Rhode Island, Vermont, and Washington. Please note that a video interview through Microsoft Teams will be required as well as potential onsite interviews and meetings. **Essential Functions** + Responsible for designing, implementing, and maintaining both traditional and modern data infrastructures at the staff level. + Combines deep expertise in relational databases, cloud technologies, and big data tools to create scalable, efficient, and secure data solutions. + Leads the development of enterprise-level data integration strategies, ensuring data quality and performance across the organization + Responsible for running moderate to complex projects independently and mentoring staff-level architects/engineers, ensuring the successful delivery of data models, pipelines, and warehouses across cloud and on-premise systems **Skills** + Data architecture and design + Experience with Databricks + Epic healthcare domain knowledge is an added advantage + Cloud infrastructure and data solutions + ETL/ELT development and data integration + Database and performance optimization + Data modeling and documentation + Coding/Programming + Data governance and security + Collaboration and stakeholder management + Leadership and project management **Minimum Qualifications** + Advanced proficiency with SQL and extensive experience with traditional RDBMS (e.g., Oracle, SQL Server, PostgreSQL). + Significant experience with cloud platforms such as AWS, Azure, or Google Cloud Platform for data architecture and storage solutions. + Deep familiarity with programming languages such as Python and PySpark for data engineering tasks. + Comprehensive knowledge of ETL/ELT processes and tools, including both traditional (e.g., SSIS, Informatica) and cloud-native solutions (e.g., Azure Data Factory, Databricks). + Exceptional communication skills for collaborating with stakeholders and teams. + Advanced knowledge of Product Management, Project Management, or Program Management philosophies and methodologies, and capable of applying them to data architecture projects to ensure alignment with business goals and efficient execution. + Demonstrated ability to stay updated on industry trends and advancements. + Proven experience in providing mentorship and guidance to junior architects. **Preferred Qualifications** + Experience with Databricks, Apache Spark, and Delta Lake for real-time and batch data processing. + Proficiency in data streaming technologies such as Kafka, AWS Kinesis, or Azure Event Hubs. + Experience working with APIs to retrieve and integrate data from external systems. + Experience developing APIs to provide data as a product. + Familiarity with CI/CD pipelines for data engineering workflows. + Knowledge of data governance frameworks and compliance standards (e.g., GDPR, HIPAA). + Familiarity with business intelligence tools such as Tableau, Power BI, or Looker for delivering insights from data architectures. + Experience in a healthcare environment. + Epic experience. + Remain sitting or standing for long periods of time to perform work on a computer, telephone, or other equipment. **Location:** Lake Park Building **Work City:** West Valley City **Work State:** Utah **Scheduled Weekly Hours:** 40 The hourly range for this position is listed below. Actual hourly rate dependent upon experience. $54.12 - $85.20 We care about your well-being - mind, body, and spirit - which is why we provide our caregivers a generous benefits package that covers a wide range of programs to foster a sustainable culture of wellness that encompasses living healthy, happy, secure, connected, and engaged. Learn more about our comprehensive benefits package here (***************************************************** . Intermountain Health is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. At Intermountain Health, we use the artificial intelligence ("AI") platform, HiredScore to improve your job application experience. HiredScore helps match your skills and experiences to the best jobs for you. While HiredScore assists in reviewing applications, all final decisions are made by Intermountain personnel to ensure fairness. We protect your privacy and follow strict data protection rules. Your information is safe and used only for recruitment. Thank you for considering a career with us and experiencing our AI-enhanced recruitment process. All positions subject to close without notice.

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:** $147,000/year to $208,000/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.

**_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 (***************************************************************************************************************************