Senior data scientist jobs in Anchorage, AK

***************** 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:** Contract-to-Hire **Category:** Data **Industry:** Government **Workplace Type:** Remote **Reference ID:** JN -112025-104364 **Shortcut:** ******************************* WWq + Description + Recommended Jobs **Description:** We are looking for a hands-on data scientist is sought to develop prototypes of emerging technologies such as large language models (LLMs) and generative AI that solve complex business challenges. The ideal candidate will have at least seven years of experience in AI/ML/NLP and data modeling, along with strong cloud engineering expertise to ensure seamless integration of solutions within cloud-native environments. This role is part of a dynamic team focused on applying advanced technologies to drive digital modernization and innovation. Rate: $60-70/hr. W2 Location: Remote _This is a contract-to-hire opportunity. Applicants must be willing and able to work on a W2 basis and convert to FTE following contract duration. For our W2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance._ **Responsibilities:** Operate and maintain an innovation lab focused on ideation, design, and engineering of cloud-native modernization projects using emerging technologies. Develop comprehensive plans for implementing AI/ML/NLP solutions that meet cybersecurity and compliance standards. Serve as a subject matter expert for large language model implementation and training. Design and develop pilots, prototypes, and proof-of-concept solutions to validate modernization opportunities. Ensure transparency, traceability, and security compliance, including preparation for Authorization To Operate (ATO) certifications. Build predictive models, machine learning algorithms, and statistical analyses to address complex business problems. Create low-risk implementation plans and present recommendations and demonstrations to executive and technical stakeholders. Collaborate with cross-functional teams-data engineering, product, and business-to translate requirements into data-driven solutions. Conduct exploratory data analysis and extract actionable insights from large datasets. Support customer and user experience initiatives through research, metrics, and design artifacts such as wireframes and mockups. Develop reusable code libraries and best practices for innovation and deployment. Mentor junior data scientists and promote adoption of new technologies and methodologies. Stay current with advancements in AI, ML, NLP, and cloud architectures. Support Agile product teams in integrating and operationalizing emerging technologies. Analyze usage data to identify patterns and opportunities for optimization. **Experience Requirements:** Experience with the following: Proven track record of delivering impactful AI/ML/NLP solutions in cloud environments. Strong communication, collaboration, and problem-solving skills. Proficiency in programming languages such as Python, R, SQL, and Java. Large Language Models (LLMs) and Generative AI AI/ML/NLP frameworks and tools Terraform, GitLab pipelines, and MLOps PyTorch and statistical modeling Databricks, Tableau, Power BI Big Data & Cloud Platforms: Hadoop, Hive, AWS (S3, SageMaker, Redshift), Azure, GCP Version control and containerization (Git, Docker) **Education Requirements:** Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related field; advanced degree preferred. Minimum of 7 years of experience in data analytics, modeling, machine learning, NLP, and AI technologies within cloud-native environments (AWS, Azure, or Google Cloud). Ability to obtain and maintain a Public Trust clearance or equivalent clearance if required. Must have resided in the U.S. continuously for the past two years. _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!_

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. We are looking for a motivated Data Scientist to help Datavant revolutionize the healthcare industry with AI. This is a critical role where the right candidate will have the ability to work on a wide range of problems in the healthcare industry with an unparalleled amount of data. You'll join a team focused on deep medical document understanding, extracting meaning, intent, and structure from unstructured medical and administrative records. Our mission is to build intelligent systems that can reliably interpret complex, messy, and high-stakes healthcare documentation at scale. This role is a unique blend of applied machine learning, NLP, and product thinking. You'll collaborate closely with cross-functional teams to: + Design and develop models to extract entities, detect intents, and understand document structure + Tackle challenges like long-context reasoning, layout-aware NLP, and ambiguous inputs + Evaluate model performance where ground truth is partial, uncertain, or evolving + Shape the roadmap and success metrics for replacing legacy document processing systems with smarter, scalable solutions We operate in a high-trust, high-ownership environment where experimentation and shipping value quickly are key. If you're excited by building systems that make healthcare data more usable, accurate, and safe, please reach out. **Qualifications** + 3+ years of experience with data science and machine learning in an industry setting, particularly in designing and building NLP models. + Proficiency with Python + Experience with the latest in language models (transformers, LLMs, etc.) + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow + Industry experience shepherding ML/AI projects from ideation to delivery + Demonstrated ability to influence company KPIs with AI + Demonstrated ability to navigate ambiguity **Bonus Experience** + Experience with document layout analysis (using vision, NLP, or both). + Experience with Spark/PySpark + Experience with Databricks + Experience in the healthcare industry **Responsibilities** + Play a key role in the success of our products by developing models for document understanding tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **After 3 Months, You Will...** + Have a strong grasp of technologies upon which our platform is built. + Be fully integrated into ongoing model development efforts with your team. **After 1 Year, You Will...** + Be independent in reading literature and doing research to develop models for new and existing products. + Have ownership over models internally, communicating with product managers, customer success managers, and engineers to make the model and the encompassing product succeed. + Be a subject matter expert on Datavant's models and a source from which other teams can seek information and recommendations. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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

**This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, or Mountain View], you are expected to report to that location three times a week, at minimum** . **The Role** The Senior Data Scientist is an internal expert on methodology and practice of marketing analytics. This individual has deep technical expertise in Media Mix Modeling (MMM), with hands-on experience developing custom econometrics and statistical models that quantify media impacts and optimize market investment. The Data Scientist has expertise in the economics of media channels (e.g., Linear/Addressable TV, Online Display, Paid Search, Social), measurement of ROAS lift, coordination of media tactics (sequencing/ frequency caps), and insourcing of off-the-shelf MMM solutions. This person will work closely with GM brand stakeholders to ensure business acceptance of proposed methods, objective performance evaluation, and effective media activation that drives sales. This person will be responsible for developing Media Mix Models, drawing insights, and creating scalable products that identify channel and tactic level high return on investment. Fully qualified individual contributor who has knowledge and understanding of all aspects of a function and exercises independent discretion and judgment on significant matters based on professional knowledge. Level most professionals can expect to achieve in their career. EXPERTISE + Recognized as a fully qualified, experienced professional. Has complete knowledge and full understanding of own area and broad knowledge of related areas. + Takes broad challenges and, through independent professionally developed analysis, identifies and analyses options, and breaks them down into initiatives capable of implementation. Identifies opportunities and proposes solutions to improve internal processes, services, and structures to support functional strategies. + Uses advanced analytical and problem-solving techniques to resolve a wide range of non-standard problems. + Works independently; receives minimal guidance. Acts as a resource for colleagues with less experience. COMPLEXITY + Identifies and devises solutions based on limited information and precedent. Uses evaluation and judgement to solve problems that are new to the organization and require a deep level of experience and strategic thought to create a solution. + Enhances relationships and networks with senior internal/external partners who are not familiar with subject matter and often require persuasion. Uses data and analysis to demonstrate the value of a project, anticipating, and addressing objections and or concerns. + Often effects change in broader functional area without direct exercise of command, using persuasion in situations where reaching agreement may be hindered by differing opinions, past practices, or experiences. SCOPE AND IMPACT + Challenges and problems are of a diverse scope with multiple moving parts, where developing a plan and viewing the whole picture is a significant challenge itself. Work is done independently and is reviewed at critical points. + Owns the development and delivery of solutions, driving cross team and group efforts. Leads by example, taking responsibility for their own actions, acknowledging mistakes, and holding themselves accountable for achieving goals. Addresses and evaluates a diverse range of issues using innovative methods and proposing alternative approaches. + Serves as a mentor to more junior level employees, providing coaching and guidance on difficult issues. + Has significant operational impact across their function. **What You'll Do** + Work on a cross-functional team to propose and implement high-impact, data-driven solutions to address business challenges across a variety of business units + Apply advanced data-driven modeling techniques to inform decision making and solve complex business problems: + Create breakthrough solutions, performing exploratory and targeted data analyses + Undertake preprocessing of structured and unstructured data + Monitor and sustain model effectiveness + Present complex information using data visualization techniques + Work with diverse technical teams and provide data and analytical oversight to ensure project deliverables fulfill business needs and timing + Identify long-term technical innovations while continuously improving execution efficiency + Possessing contextual business knowledge and functional domain expertise in the advertising and media space, showing a proven ability of using data, analytics, and insights to add revenue and business-impacting value in this via audience selection and behavioral engagement. + Deep knowledge of marketing media modeling techniques, including MMM, MTA, unified attribution, ROAS level testing, and various industry measurement media platforms. + Exhibiting a perspective of constrained curiosity, asking why, and suggesting experimentation to drive incremental impact. + Exhibiting the ability to tell a succinct, data-driven story in any forum and tailor delivery to a wide range of stakeholder levels, from analyst to senior executive. + Ensuring a superior level of delivery quality at all levels of their organization through the creation of internal structures and extensible frameworks to manage accountability and develop staff. **Your Skills & Abilities (Required Qualifications)** + Minimum five years of experience developing, deploying, and monitoring performance of media mix or related models + Proficient writing Python/R (modeling) and SQL/Spark (data), working with PYMC, StatsModels, Spark/ML, sklearn, numpy and related packages + Desired expertise media mix modeling (MMM), multi-touch attribution (MTA), consumer choice (multinomial logit), time-series forecasting, hierarchical bayes, panel-data methods (fixed/random effects), censored/truncated regressions, selection models, non-random treatment effects, item response theory, latent class regression + Prior experience with paid, earned, and owned media + Ability to prioritize and manage multiple tasks and projects at once without sacrificing quality **What Can Give You a Competitive Advantage (Preferred Qualifications)** + Advanced degree (M.A./Ph.D. preferred) in Marketing Data Science, Econometrics, Operations Research, Psychometrics, Finance, (Bio) Statistics, or another quantitative field This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Compensation: + The expected base compensation for this role is: $130,800 - $211,200. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP NOW OR IN THE FUTURE. THIS INCLUDES DIRECT COMPANY SPONSORSHIP, ENTRY OF GM AS THE IMMIGRATION EMPLOYER OF RECORD ON A GOVERNMENT FORM, AND ANY WORK AUTHORIZATION REQUIRING A WRITTEN SUBMISSION OR OTHER IMMIGRATION SUPPORT FROM THE COMPANY (e.g., H-1B, OPT, STEM OPT, CPT, TN, J-1, etc.) \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team. **Benefits Overview** From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources (************************************************************* . **Non-Discrimination and Equal Employment Opportunities (U.S.)** General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire (********************************************* . **Accommodations** General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email (Careers.Accommodations@GM.com) us or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. Explore our global locations (******************************************** We are determined to lead change for the world through technology, ingenuity and harnessing the creativity of our diverse team. Join us to help lead the change that will make our world better, safer and more equitable for all by becoming a member of GM's Talent Community (beamery.com) (*********************************************** . As a part of our Talent Community, you will receive updates about GM, open roles, career insights and more. Please note that filling out the form below will not add you to our Talent Community automatically; you will need to use the link above. If you are seeking to apply to a specific role, we encourage you to click "Apply Now" on the job posting of interest. The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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.

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

**What Data Science contributes to Cardinal Health** The Data & Analytics Function oversees the analytics lifecycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytics products, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. This role will support the Major Rugby business unit, a legacy supplier of multi-source, generic pharmaceuticals for over 60 years. Major Rugby provides over 1,000 high-quality, Rx, OTC and vitamin, mineral and supplement products to the acute, retail, government and consumer markets. This role will focus on leveraging advanced analytics, machine learning, and optimization techniques to solve complex challenges related to demand forecasting, inventory optimization, logistics efficiency and risk mitigation. Our goal is to uncover insights and drive meaningful deliverables to improve decision making and business outcomes. **Responsibilities:** + Leads the design, development, and deployment of advanced analytics and machine learning models to solve complex business problems + Collaborates cross-functionally with product, engineering, operations, and business teams to identify opportunities for data-driven decision-making + Translates business requirements into analytical solutions and delivers insights that drive strategic initiatives + Develops and maintains scalable data science solutions, ensuring reproducibility, performance, and maintainability + Evaluates and implements new tools, frameworks, and methodologies to enhance the data science toolkit + Drives experimentation and A/B testing strategies to optimize business outcomes + Mentors junior data scientists and contributes to the development of a high-performing analytics team + Ensures data quality, governance, and compliance with organizational and regulatory standards + Stays current with industry trends, emerging technologies, and best practices in data science and AI + Contributes to the development of internal knowledge bases, documentation, and training materials **Qualifications:** + 8-12 years of experience in data science, analytics, or a related field (preferred) + Advanced degree (Master's or Ph.D.) in Data Science, Computer Science, Engineering, Operations Research, Statistics, or a related discipline preferred + Strong programming skills in Python and SQL; + Proficiency in data visualization tools such as Tableau, or Looker, with a proven ability to translate complex data into clear, actionable business insights + Deep understanding of machine learning, statistical modeling, predictive analytics, and optimization techniques + Experience with cloud platforms (e.g., AWS, Azure, GCP) and big data technologies (e.g., Spark, Hadoop) is highly desirable + Excellent communication and storytelling skills, with the ability to influence stakeholders and present findings to both technical and non-technical audiences + Experience in Supervised and Unsupervised Machine Learning including Classification, Forecasting, Anomaly Detection, Pattern Detection, Text Mining, using variety of techniques such as Decision trees, Time Series Analysis, Bagging and Boosting algorithms, Neural Networks, Deep Learning and Natural Language processing (NLP). + Experience with PyTorch or other deep learning frameworks + Strong understanding of RESTful APIs and / or data streaming a big plus + Required experience of modern version control (GitHub, Bitbucket) + Hands-on experience with containerization (Docker, Kubernetes, etc.) + Experience with product discovery and design thinking + Experience with Gen AI + Experience with supply chain analytics is preferred **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 12/02/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote \#LI-AP4 _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

**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:** We are seeking a talented **Sr Data Engineer, Palantir (experience required)** to join our Strategic Data & Analytics team working on Hertz's strategic applications and initiatives. This role will work in multi-disciplinary teams rapidly building high-value products that directly impact our financial performance and customer experience. You'll build cloud-native, large-scale, employee facing software using modern technologies including React, Python, Java, AWS, and Palantir Foundry. The ideal candidate will have strong development skills across the full stack, a growth mindset, and a passion for building software at a sustainable pace in a highly productive engineering culture. Experience with Palantir Foundry is highly preferred but not required - we're looking for engineers who are eager to learn and committed to engineering excellence. We expect the starting salary to be around $135k but will be commensurate with experience. **What You'll Do:** Day-to-Day Responsibilities + Work in balanced teams consisting of Product Managers, Product Designers, and engineers + Test first - We strive for Test-Driven Development (TDD) for all production code + CI (Continuous Integration) everything - Automation is core to our development process + Architect user-facing interfaces and design functions that help users visualize and interact with their data + Contribute to both frontend and backend codebases to enhance and develop projects + Build software at a sustainable pace to ensure longevity, reliability, and higher quality output Frontend Development + Design and develop responsive, intuitive user interfaces using React and modern JavaScript/TypeScript + Build reusable component libraries and implement best practices for frontend architecture + Generate UX/UI designs (no dedicated UX/UI designers on team) with considerations for usability and efficiency + Optimize applications for maximum speed, scalability, and accessibility + Develop large-scale, web and mobile software utilizing appropriate technologies for use by our employees Backend Development + Develop and maintain RESTful APIs and backend services using Python or Java + Design and implement data models and database schemas + Deploy to cloud environments (primarily AWS) + Integrate with third-party services and APIs + Write clean, maintainable, and well-documented code Palantir Foundry Development (Highly Preferred) + Build custom applications and integrations within the Palantir Foundry platform + Develop Ontology-based applications leveraging object types, link types, and actions + Create data pipelines and transformations using Python transforms + Implement custom widgets and user experiences using the Foundry SDK + Design and build functions that assist users to visualize and interact with their data Product Development & Delivery + Research problems and break them into deliverable parts + Work with a Lean mindset and deliver value quickly + Participate in all stages of the product development and deployment lifecycle + Conduct code reviews and provide constructive feedback to team members + Work with product managers and stakeholders to define requirements and deliverables + Contribute to architectural decisions and technical documentation **What We're Looking For:** + Experience with Palantir Foundry platform, required + 5+ years in web front-end or mobile development + Bachelor's or Master's degree in Computer Science or other related field, preferred + Strong proficiency in React, JavaScript/TypeScript, HTML, and CSS for web front-end development + Strong knowledge of one or more Object Oriented Programming or Functional Programming languages such as JavaScript, Typescript, Java, Python, or Kotlin + Experience with RESTful API design and development + Experience deploying to cloud environments (AWS preferred) + Understanding of version control systems, particularly GitHub + Experience with relational and/or NoSQL databases + Familiarity with modern frontend build tools and package managers (e.g., Webpack, npm, yarn) + Experience with React, including React Native for mobile app development, preferred + Experience in Android or iOS development, preferred + Experience with data visualization libraries (e.g., D3.js, Plotly, Chart.js), preferred + Familiarity with CI/CD pipelines and DevOps practices, preferred + Experience with Spring framework, preferred + Working knowledge of Lean, User Centered Design, and Agile methodologies + Strong communication skills and ability to collaborate effectively across teams + Growth mindset - Aptitude and willingness to learn new technologies + Empathy - Kindness and empathy when building software for end users + Pride - Takes pride in engineering excellence and quality craftsmanship + Customer obsession - Obsessed with the end user experience of products + Strong problem-solving skills and attention to detail + Ability to work independently and as part of a balanced, multi-disciplinary team + Self-motivated with a passion for continuous learning and improvement **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

**Become a part of our caring community and help us put health first** The Senior Data and Reporting Professional manages information from various sources, transforming and loading data while enforcing accuracy and integrity in order to support ongoing reporting and analytics efforts. The Senior Data and Reporting Professional work assignments involve moderately complex to complex issues where the analysis of situations or data requires an in-depth evaluation of variable factors. The ability to own and understand data within a given domain is key to success. The Senior Data and Reporting Professional integrates data from multiple sources to produce required data elements. Programs and maintains data pipelines and scheduled ETL (Extract, Transform, Load) jobs to support information dashboards, canned reports and other end-user information portals or resources. May create specifications for reports based on business requests. Begins to influence business strategy by representing technical issues and options effectively to stakeholders. Makes decisions on moderately complex to complex issues regarding technical approach for project components, and work is performed without direction. Exercises considerable latitude in determining objectives and approaches to assignments. The ideal candidate has the ability to understand complex data and systems while also possessing a drive to simplify and streamline processes. Candidates should have a passion for automation and be able to provide examples of manual processes they've automated. **Use your skills to make an impact** **Required Qualifications** + 5 or more years of technical experience in managing data and ETL processes + Advanced experience with SQL development in an environment utilizing SQL server and Oracle databases + Significant experience in the development and testing of SQL Server Integration Services (SSIS) projects using Microsoft Visual Studio + Use of Microsoft Excel to organize, analyze, and report data + Experience working with large, complex datasets within large organizations + Proficiency in verbal and written communication + Strong organizational skills and ability to manage multiple or competing priorities + Strong analytical and problem-solving skills + Must be passionate about contributing to an organization focused on continuously improving consumer experiences **Preferred Qualifications** + Experience with SQL Server administration and query performance tuning + Experience with healthcare and prior authorization data + Experience managing data and pipelines in a Databricks environment + Experience with navigating change management processes in a large enterprise environment + Experience working with an enterprise scheduling system to manage job execution Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. **Scheduled Weekly Hours** 40 **Pay Range** The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $73,400 - $100,100 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. **Description of Benefits** Humana, Inc. and its affiliated subsidiaries (collectively, "Humana") offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 12-18-2025 **About us** About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient's well-being. About CenterWell, a Humana company: CenterWell creates experiences that put patients at the center. As the nation's largest provider of senior-focused primary care, one of the largest providers of home health services, and fourth largest pharmacy benefit manager, CenterWell is focused on whole-person health by addressing the physical, emotional and social wellness of our patients. As part of Humana Inc. (NYSE: HUM), CenterWell offers stability, industry-leading benefits, and opportunities to grow yourself and your career. We proudly employ more than 30,000 clinicians who are committed to putting health first - for our teammates, patients, communities and company. By providing flexible scheduling options, clinical certifications, leadership development programs and career coaching, we allow employees to invest in their personal and professional well-being, all from day one. **Equal Opportunity Employer** It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment. Centerwell, a wholly owned subsidiary of Humana, complies with all applicable federal civil rights laws and does not discriminate on the basis of race, color, national origin, age, disability, sex, sexual orientation, gender identity or religion. We also provide free language interpreter services. See our full accessibility rights information and language options *************************************************************

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** _6 days ago_ _(12/9/2025 4:29 PM)_ **_Job ID_** _2025-2282_ **_\# of Openings_** _1_ **_Category_** _Information Technology_

The Data Engineer plays a key role in developing robust data pipelines, managing cloud data warehousing solutions, and delivering impactful analytical solutions to support the credit union's data initiatives. Their expertise is in data modeling, ETL processes, and data integration which will contribute to the creation of scalable and efficient data architecture. This individual must have excellent analytical and problem-solving skills, strong leadership and communications skills, and a deep understanding of statistical and data analysis tools. This position is based out of our Abbott Headquarters (1941 Abbott Rd.) and is open to a remote/hybrid schedule. Pay Range: $85,219/yr. - $139,941/yr. ESSENTIAL JOB FUNCTIONS: ETL Pipeline Development: Develop and optimize Extract, Transform, Load (ETL) pipelines in the cloud environment, ensuring efficient and accurate data processing. Data Collection and Analysis: Work with the team to collect, clean, and organize data from various sources. Use statistical and data analysis tools to extract insights and identify trends. Data Visualization: Collaborate with departments to understand data requirements and develop visually compelling and insightful data visualizations using tools such as Tableau, Power BI or similar. Business Intelligence and Reporting: Develop and implement dashboards, reports, and presentations to communicate data insights and findings to senior management and stakeholders. Identify means to automate manual reporting that is used for purposes of decision-making, regulatory requirements, or Board presentation. Data Quality Assurance: Ensure that data is accurate, complete, and consistent by implementing data quality checks and procedures. Data Privacy and Security: Ensure that data privacy and security policies and procedures are in place and followed. Communication Skills: Strong communication skills to effectively collaborate with cross-functional teams, articulate technical concepts to non-technical stakeholders, and influence decision-making process. Business Acumen: Emphasize a deeper understanding of business goals and objectives, with the ability to align data engineering initiatives with broader organizational strategies. ADDITIONAL RESPONSIBILITIES: Experience building and maintaining ETL processes and data integrations. Experience in managing all stages of the development lifecycle, including planning, requirements gathering, designing, developing, documenting, testing, training, deployment, governance, security, and support. Thorough understanding of how to interpret business needs and translate into solutions. Demonstrates support for the corporate mission, vision and values. Maintains a positive working relationship with department personnel, including management, supervisory and all other employees. Meet the current standards as established for the department in the completion of all assigned duties. Responsible for abiding and complying with the policy for compliance with the Bank Secrecy Act and anti-money laundering laws and regulations (BSA/AML) and the policy for compliance with office of foreign assets control laws and regulations (OFAC). Perform other duties as assigned. QUALIFICATIONS: Minimum Qualifications: A degree in a related field, such as statistics, mathematics, computer science, or data science or equivalent experience in the industry. Minimum 5-7 years of experience in data analytics or related field. Strong proficiency in advanced SQL, Python or other relevant programming languages. Expertise with databases and connectors like Microsoft SQL, MySQL, Snowflake, Azure data warehousing, AWS data warehousing, Databricks, any other vendor specific data warehouse/lakehouse. Experience with data modeling, schema design, and optimization techniques for data storage and retrieval. Familiarity with big data technologies (e.g. Spark) and serverless computing. Demonstrated proficiency in visual data analytics and business intelligence tools, such as PowerBI, Tableau, or Domo. Only applicants who meet the minimum requirements for this position will be considered for an interview. This position is open until filled. To be eligible for this position, applicants must be legally authorized to work in the United States without restriction. Credit Union 1 does not provide visa sponsorship. Please note: Credit Union 1 does not provide relocation assistance. If selected for an on-site position, candidates will be responsible for relocating to Alaska prior to the agreed upon start date at their own expense. Thank you for your interest in this opportunity with Credit Union 1! Background Screening Statement: Candidates selected for a position at Credit Union 1 will be subject to a criminal background check prior to their employment. An offer of employment may be rejected or terminated based on receipt of an unacceptable background screening. EEO Statement: Credit Union 1 provides equal employment opportunities to all employees and applicants for employment, prohibiting discrimination and harassment of any type without regard to race, color, religion, sex, age, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identify or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. E-Verify Statement: Credit Union 1 participates in E-Verify and will provide the federal government with your form I-9 information to confirm that you are authorized to work in the U.S. If E-Verify cannot confirm that you are authorized to work, Credit Union 1 is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before Credit Union 1 can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer an completed the Form I-9. For more information on E-Verify, or if you believe that Credit Union 1 has violated its E-Verify responsibilities, please contact DHS at ************ or dhs.gov/e-verify.com

GCI's Senior Data Architect supports the Director of Data Architecture's mission to implement an enterprise data platform that enables data-driven decision-making in support of various business functions, aligning with organization vision and strategy. Responsible for analyzing, designing, and implementing architectural frameworks, data interfaces, tooling, and data quality technology to meet organizational needs for data management, accessibility, performance, and quality. ESSENTIAL DUTIES AND RESPONSIBILITIES AT ALL LEVELS: Technical Data Architecture & Implementation: + Collaborate with data engineers, data scientists, and business analysts to ensure that data architecture effectively supports application and analytics needs. + Design and develop an enterprise data lake, ensuring it supports a wide range of data types and formats while being scalable, reliable, secure, and efficient. + Establish and enforce architectural frameworks and best practices, like medallion architecture, that guide the development of the data lake. + Design and develop data models and pipelines that ensure data quality and are optimized to support self-serve analytics. + Directly or with assistance of data engineering teams, integrate new data sources into the data lake, ensuring data is accessible and usable for analytics and reporting. + Document essential technical architecture design and analysis efforts, including postmortem project documentation and metric collection. + Mentor peers in the discipline of data architecture, providing guidance on technical skills and best practices. Data Governance & Data Quality Assurance: + Implement data quality technologies and processes to monitor, assess, and provide insight to improve data accuracy and reliability. + Collaborate with stakeholders and data governance leads to define data quality metric requirements for the data lake and ensure compliance with organizational standards. + Help ensure that all data architecture practices adhere to organizational policies, industry regulations, and best practices. + Implement tools and processes to track data lineage, ensuring transparency and traceability of data from source to consumption Data Architecture Strategy & Implementation: + Assist in implementing a strategic vision for data architecture that aligns with GCI's business objectives and data management goals. + Help define the architectural and logical requirements of data platforms. + Engage with cross-functional teams, including data engineering, analytics, and business units, to ensure that data architecture aligns with business needs and enhances overall data management practices. + On an ongoing basis evaluate the current technology and data environment to identify critical deficiencies and recommend solutions for improvement. Research & Innovation: + Stay current with industry trends, emerging technologies, and best practices in data architecture and management, fostering continuous improvement and innovation within the data platform. + Drive continuous improvement and innovation within the enterprise data platform in the areas of system performance, user experience and cost management. + Ability to maintain professional skillset by advancing credentials, participating in training, continuing educational opportunities, and technical organizations. + Ability to share technical skills, knowledge, and techniques with other technical staff. + Ability to transfer knowledge to team members and customers + Ability to accurately communicate information virtually (i.e., Teams), over the phone, and in-person in a clear and concise manner to a range of audiences. + Ability to accurately read, write, and respond to business correspondence such as emails, chat messages, policies, procedures, reports. + Ability to create clear and concise written communication (i.e., detailed documentation, diagramming, slide presentations) for a variety of audiences, including developers, business analysts, and business users. + Ability to initiate and deliver technical information in presentation/training format in front of stakeholders. + Proven ability to manage complex projects and strategic initiatives. + Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. COMPETENCIES: - ACCOUNTABILITY- Takes ownership for actions, decisions, and results; openly accepts feedback and demonstrates a willingness to improve. o Ability to maintain professional skillset by advancing credentials, participating in training, continuing educational opportunities, and technical organizations. - 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. - COLLABORATION - Works effectively with others to accomplish common goals and objectives; maintains positive relationships even under difficult circumstances. o Ability to share technical skills, knowledge, and techniques with other technical staff. o Ability to transfer knowledge to team members and customers - COMMUNICATION- Conveys thoughts and expresses ideas appropriately and professionally. o Ability to accurately communicate information virtually (i.e., Teams), over the phone, and in-person in a clear and concise manner to a range of audiences. o Ability to accurately read, write, and respond to business correspondence such as emails, chat messages, policies, procedures, reports. o Ability to create clear and concise written communication (i.e., detailed documentation, diagramming, slide presentations) for a variety of audiences, including developers, business analysts, and business users. o Ability to initiate and deliver technical information in presentation/training format in front of stakeholders. - COMPLIANCE - Follows internal controls; protects confidential information; abides by GCI's Code of Business Conduct & Ethics. - CUSTOMER FOCUS - Demonstrates commitment to service excellence; gives high priority to customer satisfaction. - RELIABILITY - Consistently follows through on assigned tasks as expected; demonstrates timely attendance at meetings, training, and other work obligations. - RESULTS - Uses a combination of job knowledge, initiative, sound decision making, innovation, adaptability, and problem solving. o Proven ability to manage complex projects and strategic initiatives. o Excellent analytical and problem-solving skills, with the ability to make data-driven decisions. - SAFETY & SECURITY - Supports a safe work environment by following all workplace safety rules and guidelines; complies with applicable Security policies and procedures. - TECHNICAL PROFICIENCY - Proficient computer skills and MS Office knowledge (e.g., Outlook, Teams, Word, Excel, PowerPoint, Visio, SharePoint) to complete job duties effectively, such as using the company intranet and to accurately retrieve and input information into database or equivalent. Additional Job Requirements: This is a senior level position within the discipline functioning in a lead role as the subject matter expert (SME). Demonstrates advanced knowledge and proficiency in all areas of responsibility. Performs highly complex and unique tasks and job duties, receiving minimal to no instruction on routine work and new assignments. Works under minimal supervision with wide latitude for independent judgment. + Collaborate with executive leadership and key stakeholders to understand business goals, translating them into specific data architecture requirements that support the company's five-year vision. + Conduct thorough analyses of industry trends, emerging technologies, and organizational needs to anticipate future data demands and inform architectural decisions and roadmaps. + Lead the design and development of enterprise grade relational and multi-dimensional data architectures for structured and un-unstructured data, including defining data models that optimize performance and accessibility for various business applications and analytical tools. + Apply understanding of data warehousing modeling techniques and their implementation on a modern data lakehouse. + Apply understanding of multi-hop architecture to incrementally and progressively improve the structure and quality of data as it flows through each layer of the architecture + Apply standard software development practices, including version control (e.g., DevOps, Git), infrastructure as code (IaC), continuous integration/continuous deployment (CI/CD), and automated testing to ensure high-quality and maintainable code. Additional Competencies: + Ability to lead and mentor a team of data architects and engineers, fostering a culture of collaboration, innovation, and continuous improvement. + Demonstrated in-depth knowledge & experience with: + Master Data Management processes, policies, standards and tools. + Building data platforms to support operational and analytics reporting using an industry-standard open source or commercial BI/Analytics platforms. + Data design patterns, especially Lakehouse medallion architecture. + Proficiency in cloud platforms such as Azure and Databricks. + Declarative frameworks for building reliable, maintainable, and testable data pipelines e.g. Delta Live Tables (DLT), Databricks Asset Bundles. + Sql and NoSql data stores both cloud based and on-premise e.g. Azure Sql Database, CosmosDB, MySQL, Microsoft SQL Server, or Oracle. + Data processing, data engineering transformation patterns, and supporting technologies including a strong understanding of ETL, ELT patterns and (optionally) data streaming patterns. 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, Systems Analysis, Engineering, or related field. * + Minimum of ten (10) years of experience in software developmentor similar technical role. * + Including a minimum of four (4) years of data architecture and design experience. Preferred: + Master's degree or PhD in relevant field. + Databricks Architecture/Data Engineering experience. + Telecommunications experience. Relevant telecom industry or job specific certifications DRIVING REQUIREMENTS: + This position may require access to reliable transportation for occasional travel 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 sufficient 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 the 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 on this description has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities, and qualifications 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.

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. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $173,000/year to $242,000/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.

Java Full Stack Developer (Job Code: J2EE) 3 to 10 years of experience developing web based applications in Java/J2EE technologies Knowledge of RDBMS and NoSQL data stores and polyglot persistence (Oracle, MongoDB etc.) Knowledge of event sourcing and distributed message systems (Kafka, RabbitMQ) AngularJS, React, Backbone or other client-side MVC experience Experience with JavaScript build tools and dependency management (npm, bower, grunt, gulp) Experience creating responsive designs (Bootstrap, mobile, etc.) Experience with unit and automation testing (Jasmine, Protractor, JUnit) Expert knowledge of build tools and dependency management (gradle, maven) Knowledge of Domain Driven Design concepts and microservices Participate in software design and development using modern Java and web technology stack. Should be proficient in Spring boot and Angular Sound understanding of Microservices architecture Good understanding of event driven architecture Experience building Web Services (REST/SOAP) Experience in writing©Junit Good to have experience in TDD Expert in developing highly responsive web application using Angular4 or above Good Knowledge of HTML/HTML5/CSS, JavaScript/AJAX, and XML Good understanding of SQL and relational databases and NO SQL databases Familiarity with design patterns and should be able to design small to medium complexity modules independently Experience with Agile or similar development methodologies Experience with a versioning system (e.g., CVS/SVN/Git) Experience with agile development methodologies including TDD, Scrum and Kanban Strong verbal communications, cross-group collaboration skills, analytical, structured and strategic thinking. Great interpersonal skills, cultural awareness, belief in teamwork Collaborating with product owners, stakeholders and potentially globally distributed teams Work cross-functional in an Agile environment Excellent problem-solving, organizational and analytical skills Qualification : BE / B.Tech / MCA / ME / M.Tech **************************** TESt Shift 9 hrs Test Budget 5 hrs

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

**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

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.