Senior data scientist jobs in Yuba City, CA - 68 jobs

Role Under limited general direction, develops and maintains data lake repository, data warehouse, and data mapping infrastructure with the ultimate goal to make data accessible so that the organization can use it to evaluate and optimize their performance. Demonstrated expertise designing, developing and maintaining scalable data pipelines and ETL processes to support enterprise data needs. This is a hybrid position, with three days per week in-office and the rest remote. Essential Responsibilities * Creates and maintains optimal data pipeline architecture. * Assembles large, complex data sets that meet functional / non-functional business requirements. * Performs unit testing and mock data generation. * Uses relational data best practices, including referential integrity and query optimization (Oracle, MySQL, SQL Server). * Participates in agile software planning and development activities, including daily standups, user story and task organization and grooming activities, and effort estimation. * Analyzes business and technical requirements to develop documentation, designs, code, and tests. * Maintains source control hygiene (branch protection, git-flow). * CI/CD includes build, test, and automated deployment (like Jenkins, Travis, and DevOps). * Other duties as assigned. Qualifications * 5+ years of experience in a data engineer role. * Significant experience working with relational database technologies such as Oracle & SQL Server. * Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), as well as working familiarity with a variety of databases. * Outstanding analytical, quantitative, problem-solving, and programming skills. * Demonstrated expertise designing, developing and maintaining scalable data pipelines and ETL processes to support enterprise data needs. * Full-stack development experience. * Willingness to jump in, learn new tech, and work effectively across full stack. * Experience reviewing and executing plans and performance tuning. * Experience working with common languages and frameworks such as C# or Java. * In-depth understanding of modern application design principles, DevOps & Microservices. * Relevant certifications from cloud provides (e.g., AWS Certified Data Analytics, Azure Data Engineering, etc.). * Strong written and verbal communication skills, including ability to convey proposed solutions through natural language, diagrams, and design patterns. * Ability to work both independently and collaboratively. * High school diploma or GED required. * Bachelor's degree preferred. Recology Offers * An ecologically innovative company that finds and mentors people committed to protecting the environment and sustaining our communities. * The largest employee-owned resource recovery company in the industry with terrific benefits to help you prosper. * A creative and caring culture that values community, diversity, altruism, accountability, collaboration, and learning by doing. * An inspired company mission driven to use and return resources to their best and highest use through the practice of the 4R's: Reduce, Re-use, Recycle, and Recologize. * Distinct professional challenges to connect with, care for, and grow community that sees a world without waste. Recology Benefits May Include * Paid time off and paid holidays. * Health and wellness benefits including medical, dental, and vision. * Retirement plans (Employee Stock Ownership Plan, 401(k) with match). * Annual wellness incentives. * Employee Assistance Program (EAP). * Educational assistance. * Commuting benefits. * Employee referral program. Supplemental Information Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of this job; and pursuant to applicable law, we will consider for employment qualified applicants with criminal records. It is important that you provide accurate information on the job application, inaccurate information may cause delays in the processing of your application and/or may disqualify you as a candidate. Recology is an equal opportunity employer committed to supporting an inclusive work environment where employees are valued, heard, and provided development opportunities. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, citizenship, disability, protected veteran status, or any other basis that is prohibited by law. This description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills, effort, work conditions, and benefits associated with the job.

Our vision is to transform how the world uses information to enrich life for all. Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. As a data scientist in the TPG Data Science Products Group you will use sophisticated analytics to accelerate product development at Micron. You will leverage machine learning (ML), artificial intelligence (AI), and data science techniques in close collaboration with product engineers to drive innovation and improve product capabilities. There will be significant opportunities to perform exploratory and new solution development activities. Responsibilities * Develop and implement AI and ML solutions to support product development and optimization * Collaborate with functional domain experts across product engineering teams to understand domain problems and identify solutions * Stay up-to-date with the latest advancements in data science and apply them to solve sophisticated problems Qualifications * BS + 10 years, MS + 7 years or PhD + 5 years of data science and / or semiconductor industry experience majoring in Engineering, Mathematics, Computer Science, Data Science, Physics, or equivalent. * Experience developing and deploying data science solutions including data engineering, application of Machine Learning algorithms, UI/UX, or ML Ops. * Proficient in program languages such as Python or R. * Ability to build strong interpersonal relationships, and a passion to teach others about data science and continue to learn new techniques. Preferred Qualifications * Proven experience and or knowledge in the semiconductor industry is preferred * Experience in the memory industry and/or product engineering is highly desirable The US base salary range that Micron Technology estimates it could pay for this full-time position is: $156,000.00 - $331,000.00 a year Additional compensation may include benefits, bonuses and equity. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target base pay for new hire salaries of the position across all US locations. Within the range, individual pay is determined by work location and additional job-related factors, including knowledge, skills, experience, tenure and relevant education or training. The pay scale is subject to change depending on business needs. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. As a world leader in the semiconductor industry, Micron is dedicated to your personal wellbeing and professional growth. Micron benefits are designed to help you stay well, provide peace of mind and help you prepare for the future. We offer a choice of medical, dental and vision plans in all locations enabling team members to select the plans that best meet their family healthcare needs and budget. Micron also provides benefit programs that help protect your income if you are unable to work due to illness or injury, and paid family leave. Additionally, Micron benefits include a robust paid time-off program and paid holidays. For additional information regarding the Benefit programs available, please see the Benefits Guide posted on micron.com/careers/benefits. Micron is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, age, national origin, citizenship status, disability, protected veteran status, gender identity or any other factor protected by applicable federal, state, or local laws. To learn about your right to work click here. To learn more about Micron, please visit micron.com/careers US Sites Only: To request assistance with the application process and/or for reasonable accommodations, please contact Micron's People Organization at hrsupport_************* or ************** (select option #3) Micron Prohibits the use of child labor and complies with all applicable laws, rules, regulations, and other international and industry labor standards. Micron does not charge candidates any recruitment fees or unlawfully collect any other payment from candidates as consideration for their employment with Micron. AI alert: Candidates are encouraged to use AI tools to enhance their resume and/or application materials. However, all information provided must be accurate and reflect the candidate's true skills and experiences. Misuse of AI to fabricate or misrepresent qualifications will result in immediate disqualification. Fraud alert: Micron advises job seekers to be cautious of unsolicited job offers and to verify the authenticity of any communication claiming to be from Micron by checking the official Micron careers website in the About Micron Technology, Inc.

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent 8. 4+ years of work experience in analytics, data querying languages such as SQL, scripting languages such as Python, and/or statistical mathematical software such as R (minimum of 2 years with a Ph.D.) 9. 4+ years of experience solving analytical problems using quantitative approaches, understanding ecosystems, user behaviors & long-term product trends, and leading data-driven projects from definition to execution [including defining metrics, experiment, design, communicating actionable insights] **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $147,000/year to $208,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. As part of the Privacy Science team within Privacy Hub you will play a crucial role in ensuring that privacy of patients is safeguarded in the modern world of data sharing. As well as working on real data, you will be involved in exciting research to keep us as industry leaders in this area, and stimulating discussions on re-identification risk. You will be supported in developing/consolidating data analysis and coding skills to become proficient in the analysis of large health-related datasets. **You Will:** + Critically analyze large health datasets using standard and bespoke software libraries + Discuss your findings and progress with internal and external stakeholders + Produce high quality reports which summarise your findings + Contribute to research activities as we explore novel and established sources of re-identification risk **What You Will Bring to the Table:** + Excellent communication skills. Meticulous attention to detail in the production of comprehensive, well-presented reports + A good understanding of statistical probability distributions, bias, error and power as well as sampling and resampling methods + Seeks to understand real-world data in context rather than consider it in abstraction. + Familiarity or proficiency with programmable data analysis software R or Python, and the desire to develop expertise in its language + Application of scientific methods to practical problems through experimental design, exploratory data analysis and hypothesis testing to reach robust conclusions + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines + Initiative and ability to independently explore and research novel topics and concepts as they arise, to expand Privacy Hub's knowledge base + An appreciation of the need for effective methods in data privacy and security, and an awareness of the relevant legislation + Familiarity with Amazon Web Services cloud-based storage and computing facilities **Bonus Points If You Have:** + Experience creating documents using LATEX + Detailed knowledge of one or more types of health information, e.g., genomics, disease, health images + Experience working with or supporting public sector organizations, such as federal agencies (e.g., CMS, NIH, VA, CDC), state health departments, or public health research partners. Familiarity with government data environments, procurement processes, or privacy frameworks in regulated settings is highly valued. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $104,000-$130,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

Chancellor's Office Statement Join our team at the California State University, Office of the Chancellor, and make a difference in providing access to higher education. We are currently seeking experienced candidates for the position of Educator Preparation Data Scientist. The CSU Chancellor's Office, located on the waterfront adjacent to the Aquarium of the Pacific in downtown Long Beach, is the headquarters for the nation's largest and most diverse system of higher education. The CSU Chancellor's Office offers a premium benefit package that includes outstanding vacation, health, and dental plans; a fee waiver education program; membership in the California Public Employees Retirement System (PERS); and 15 paid holidays a year. Salary The anticipated salary hiring range is up to $104,136 per year, commensurate with qualifications and experience. Classification Administrator II Position Information The California State University, Office of the Chancellor, is seeking an Educator Preparation Data Scientist to be responsible for managing, developing, and maintaining the Center's educator preparation data systems and dashboards. The Data Scientist performs strategic data analyses to inform continuous improvement efforts in CSU's educator preparation programs and supports campus data needs in ways that enhance the system's ability to recruit, prepare, develop, and retain outstanding teachers for California schools. The data initiatives overseen in this role directly advance the Chancellor's Office strategic plan, "CSU Forward: Thriving Students, Thriving University, Thriving California” by providing actionable evidence about CSU educator preparation programs. These initiatives support: -Public transparency and informed strategic planning and policy development; -Campus accreditation and compliance with state and federal requirements; -Evaluation of state, federal, and privately funded grants and initiatives; -Systemwide accountability, including the establishment of improvement goals and priorities; -Effective communication of the impact and value of university-based educator preparation programs; and -Statewide policy discussions related to educator preparation reform. THIS POSITION IS LOCATED AT THE CSU SACRAMENTO CAMPUS. This position is approved for telecommuting (two days telecommuting, three days in office (in-person)) with onsite work at the main headquarters located in Sacramento, California. Responsibilities Under the general direction of the Director, Educator Quality Center, the Educator Preparation Data Scientist will perform duties as outlined below: Data Systems Project Management -Design, develop, and manage systems and processes for collecting, extracting, loading, and integrating high-priority credential program and student data into the EdQ operational data store. -Lead the development of dashboards and reporting tools that support CSU educator preparation programs. -Collaborate with a wide range of stakeholders-including campus and Chancellor's Office staff, internal IT and IR&A teams, and external partners such as state and national education agencies, funding organizations, consultants, and vendors-to ensure data systems meet strategic and operational needs. Strategic Data Analysis -Conduct strategic data analyses to generate valid and reliable evidence that supports continuous improvement in CSU educator preparation programs and addresses California's educator workforce needs. -Translate analytical findings into actionable insights and communicate them clearly through data visualizations, storytelling, and presentations tailored to non-technical audiences. -Evaluate the impact of key initiatives using quantitative evidence and support data-informed decision-making across the CSU system. Support Effective Use of Data -Develop and refine systems and processes that improve the quality, consistency, and usability of existing educator preparation metrics administered by EdQ. -Define and monitor key performance indicators (KPIs) in collaboration with educator preparation faculty and practitioners to reflect their goals and values. -Promote the standardization and adoption of shared data tools, software platforms, and protocols across CSU educator preparation programs. Qualifications This position requires: -Demonstrated interest in improving educational outcomes, particularly in educator preparation. -Master's degree or higher in a technical, computational, or quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Measurement, or related discipline). -A minimum of four years of professional experience, including at least one year of hands-on experience in data science, analytics, or applied research. -Proven ability to deliver data products, tools, or original research-preferably in an educational or public-sector context, using large or complex datasets. -Strong quantitative skills, including experience with statistical methods used in education research. -Proficiency with one or more statistical software tools or programming languages (e.g., R, Python, Stata). -Working knowledge of SQL, relational databases, and data visualization tools (e.g., Tableau, Power BI). -Experience with data mining, exploration, and visualization techniques. -Familiarity with data systems design, development, and management. -Strong project management skills and ability to work collaboratively with cross-functional teams. -Experience administering surveys using platforms such as Qualtrics, SurveyMonkey, or QuestionPro. -Experience working with sensitive or confidential data in a secure computing environment. Preferred Qualifications -Experience with ETL (Extract, Transform, Load) processes and data warehousing solutions. -Proficiency with version control systems such as Git. -Familiarity with data governance practices, especially in educational or public-sector environments. -Experience using AI or machine learning tools (e.g., OpenAI) to enhance data analysis, automation, or reporting workflows. -Knowledge of educator preparation policy, accreditation processes, or workforce analytics. Application Period Priority consideration will be given to candidates who apply by December 2, 2025. Applications will be accepted until the job posting is removed. How To Apply Please click "Apply Now" to complete the California State University, Chancellor's Office online employment application. Equal Employment Opportunity Consistent with California law and federal civil rights laws, the CSU provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager at **************. Title IX Please view the Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator at: ********************************* E-Verify This position requires new hire employment verification to be processed through the E-Verify program administered by the Department of Homeland Security, U.S. Citizenship and Immigration Services (DHSUSCIS)' in partnership with the Social Security Administration (SSA). If hired, you will be required to furnish proof that you are legally authorized to work in the United States. The CSU Chancellor's Office is not a sponsoring agency for staff and Management positions (i.e., H1-B VISAS). COVID19 Vaccination Policy Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all Chancellor's Office employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications. Mandated Reporter Per CANRA The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Employment Policy California State University, Office of the Chancellor, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. Background The Chancellor's Office policy requires that the selected candidate successfully complete a full background check (including a criminal records check) prior to assuming this position.

About the RoleThe Forecasting Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team's focus is to shape the company's inventory management strategy through advanced data science and forecasting techniques. The successful candidate will lead the development of advanced forecasting models across various business functions, time horizons, and product hierarchies. Areas of expertise include forecasting, time series, predictive modeling, supply chain analytics, and inventory management. You will support the team to build and deploy data and predictive analytics capabilities, in partnership with GapTech, PDM, Central Marketing & business partners across our brands.What You'll Do Build, validate, and maintain AI (Machine Learning (ML) /Deep learning) models, diagnose, and optimize performance and develop statistical models and analysis for ad hoc business focused analysis. Develop software programs, algorithms and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources. Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare data pipelines for various modeling protocols. Deliver sound, data-backed recommendations tied to business results, industry insights, and overall Gap Inc. ecosystem of technology, platform, and resources. Communicate compelling, data-driven recommendations as well as potential trade-offs, backed by data analysis and/or model outputs to influence leaders' and stakeholders' decisions. Build networks across the organization and partners to anticipate leader requests and influence data-driven decision making. Guides discussions and empowers more junior team members to identify best solutions. Who You Are Experience in developing advanced algorithms using machine leaning (ML), statistical, and optimization methods to enhance various business components in the retail sector. Hands-on experience with forecasting models, running simulations of what-if analysis, and prescriptive analytics. Experience with time series analysis, predictive modeling, hierarchical Bayesian, causal ML, and transformer-based algorithms. Experience with creating business impact in supply chain, merchandise, inventory planning, or vendor management using advanced forecasting techniques. Experience working directly with cross-functional teams such as product management, engineers, business partners. Advanced proficiency in modern analytics tools and languages such as Python, R, Spark, SQL. Advanced proficiency using SQL for efficient manipulation of large datasets in on prem and cloud distributed computing environments, such as Azure environments. Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change. Ability to collaborate with cross functional teams and influence product and analytics roadmap, with a demonstrated proficiency in relationship building. Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions. Required BS with 7+ years of experience (or MS with 5+ years) in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field. People mentoring experience, ability to work independently on large scale projects. Proven ability to lead teams in solving unstructured technical problems to achieve business impact. Full stack experience across analytics, data science, machine learning, and data engineering

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Responsibilities Under the general direction of the Director, Educator Quality Center, the Educator Preparation Data Scientist will perform duties as outlined below: Data Systems Project Management * Design, develop, and manage systems and processes for collecting, extracting, loading, and integrating high-priority credential program and student data into the EdQ operational data store. * Lead the development of dashboards and reporting tools that support CSU educator preparation programs. * Collaborate with a wide range of stakeholders-including campus and Chancellor's Office staff, internal IT and IR&A teams, and external partners such as state and national education agencies, funding organizations, consultants, and vendors-to ensure data systems meet strategic and operational needs. Strategic Data Analysis * Conduct strategic data analyses to generate valid and reliable evidence that supports continuous improvement in CSU educator preparation programs and addresses California's educator workforce needs. * Translate analytical findings into actionable insights and communicate them clearly through data visualizations, storytelling, and presentations tailored to non-technical audiences. * Evaluate the impact of key initiatives using quantitative evidence and support data-informed decision-making across the CSU system. Support Effective Use of Data * Develop and refine systems and processes that improve the quality, consistency, and usability of existing educator preparation metrics administered by EdQ. * Define and monitor key performance indicators (KPIs) in collaboration with educator preparation faculty and practitioners to reflect their goals and values. * Promote the standardization and adoption of shared data tools, software platforms, and protocols across CSU educator preparation programs. Qualifications This position requires: * Demonstrated interest in improving educational outcomes, particularly in educator preparation. * Master's degree or higher in a technical, computational, or quantitative field (e.g., Data Science, Statistics, Computer Science, Economics, Educational Measurement, or related discipline). * A minimum of four years of professional experience, including at least one year of hands-on experience in data science, analytics, or applied research. * Proven ability to deliver data products, tools, or original research-preferably in an educational or public-sector context, using large or complex datasets. * Strong quantitative skills, including experience with statistical methods used in education research. * Proficiency with one or more statistical software tools or programming languages (e.g., R, Python, Stata). * Working knowledge of SQL, relational databases, and data visualization tools (e.g., Tableau, Power BI). * Experience with data mining, exploration, and visualization techniques. * Familiarity with data systems design, development, and management. * Strong project management skills and ability to work collaboratively with cross-functional teams. * Experience administering surveys using platforms such as Qualtrics, SurveyMonkey, or QuestionPro. * Experience working with sensitive or confidential data in a secure computing environment. Preferred Qualifications * Experience with ETL (Extract, Transform, Load) processes and data warehousing solutions. * Proficiency with version control systems such as Git. * Familiarity with data governance practices, especially in educational or public-sector environments. * Experience using AI or machine learning tools (e.g., OpenAI) to enhance data analysis, automation, or reporting workflows. * Knowledge of educator preparation policy, accreditation processes, or workforce analytics. Application Period Priority consideration will be given to candidates who apply by December 2, 2025. Applications will be accepted until the job posting is removed. How To Apply Please click "Apply Now" to complete the California State University, Chancellor's Office online employment application. Equal Employment Opportunity Consistent with California law and federal civil rights laws, the CSU provides equal opportunity in education and employment without unlawful discrimination or preferential treatment based on race, sex, color, ethnicity, or national origin. Reasonable accommodations will be provided for qualified applicants with disabilities who self-disclose by contacting the Senior Human Resources Manager at **************. Title IX Please view the Notice of Non-Discrimination on the Basis of Gender or Sex and Contact Information for Title IX Coordinator at: ********************************* E-Verify This position requires new hire employment verification to be processed through the E-Verify program administered by the Department of Homeland Security, U.S. Citizenship and Immigration Services (DHSUSCIS)' in partnership with the Social Security Administration (SSA). If hired, you will be required to furnish proof that you are legally authorized to work in the United States. The CSU Chancellor's Office is not a sponsoring agency for staff and Management positions (i.e., H1-B VISAS). COVID19 Vaccination Policy Per the CSU COVID-19 Vaccination Policy, it is strongly recommended that all Chancellor's Office employees who are accessing office and campus facilities follow COVID-19 vaccine recommendations adopted by the U.S. Centers for Disease Control and Prevention (CDC) and the California Department of Public Health (CDPH) applicable to their age, medical condition, and other relevant indications. Mandated Reporter Per CANRA The person holding this position is considered a 'mandated reporter' under the California Child Abuse and Neglect Reporting Act and is required to comply with the requirements set forth in CSU Executive Order 1083 as a condition of employment. CSU Out of State Employment Policy California State University, Office of the Chancellor, as part of the CSU system, is a State of California Employer. As such, the University requires all employees upon date of hire to reside in the State of California. As of January 1, 2022, the CSU Out-of-State Employment Policy prohibits the hiring of employees to perform CSU-related work outside the state of California. Background The Chancellor's Office policy requires that the selected candidate successfully complete a full background check (including a criminal records check) prior to assuming this position. Advertised: Nov 18 2025 Pacific Standard Time Applications close:

We are seeking a Senior Data Modeler in the Sacramento, California area. This position requires you to be able to work on-site in Sacramento, California, on Mondays and Wednesdays each week. Candidates must currently live within 60 miles of Sacramento, CA. Anyone else will be rejected. Key Duties/Responsibilities: Performs business and systems analysis and documentation Develops conceptual, logical, and physical relational data models for the enterprise data warehouse Experience with large data warehouse implementation projects Performs data modeling in relational and dimensional models Develops a physical data model and/or works with the architect to develop a physical data model Ability to expertly develop Data Facts and Dimensions in the EDW Provides documentation to support the Kimball Dimensional Data Modeling Framework, as necessary Visualizes and designs the enterprise data management framework, specifying processes used to plan, acquire, maintain, use, archive, retrieve, control, and purge data Documents data flow diagrams in existing and future reports to use as input in report design and optimization Development Requirements Specifications Develop Design Specifications Performs data analysis/predictive data modeling Mentors and education team members on best practices and industry standards Mandatory Requirements: * Minimum of ten (10) years demonstrable experience in the data management space, with at least 5 years specializing in database design and at least 5 years in data modeling. * Senior, hands-on Data Modeler with strong communication skills. * Expert-level command of the ER/STUDIO Data Architect modeling application * Must have Oracle Data Integrator (ODI) experience. * At least 2 year's experience working in Oracle Autonomous Data Warehouse (ADW), specifically installed in an OCI environment * Strong ability to articulate data modeling principles and gather requirements from non-technical business stakeholders * Minimum of five (5) years of relevant experience in relational data modeling and dimensional data modeling, statistical analysis, and machine learning, supportive of key duties/responsibilities identified above. * Minimum of five (5) years of experience as a data analyst or in other quantitative analysis or related disciplines, such as researcher or data engineer, supportive of key duties/responsibilities identified above. * Excellent presentation skills to different (business and technical) audiences, ranging from Senior-level leadership to operational staff, with no supervision * At least 2 years of experience working on Star, Snowflake, and/or Hybrid schemas * Ability to translate business and functional requirements into technical requirements for technical team members. * Candidate needs to be able to demonstrate direct, hands-on, recent practical experience in the identified areas, with specific examples. Desired: * Expert-level Kimball Dimensional Data Modeling experience * Expert-level experience developing in Oracle SQL Developer or ER/Studio Data Architect for Oracle. * Ability to develop and perform Extract, Transform, and Load (ETL) activities using Oracle tools and PL/SQL with at least 2 years of experience. * Ability to perform technical leadership of an Oracle data warehouse team, including but not limited to ETL, requirements solicitation, DBA, data warehouse administration, and data analysis on a hands-on basis.

Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Click on "Learn more about this agency" button below for IMPORTANT additional information. This is a Direct Hire Solicitation. This public notice is to gather applications that may or may not result in a referral or selection. Overview Help Accepting applications Open & closing dates 12/22/2025 to 12/21/2026 Salary $63,795 to - $164,301 per year Pay scale & grade GS 11 - 15 Locations FEW vacancies in the following locations: Eielson AFB, AK Elmendorf AFB, AK Fort Richardson, AK Maxwell AFB, AL Show morefewer locations (79) Little Rock AFB, AR Davis Monthan AFB, AZ Luke AFB, AZ Beale AFB, CA Edwards AFB, CA El Segundo, CA Los Angeles, CA March AFB, CA Travis AFB, CA Vandenberg AFB, CA Air Force Academy, CO Buckley AFB, CO Cheyenne Mountain AFB, CO Colorado Springs, CO Peterson AFB, CO Schriever AFB, CO Joint Base Anacostia-Bolling, DC Dover AFB, DE Cape Canaveral, FL Cape Canaveral AFS, FL Eglin AFB, FL Homestead AFB, FL Hurlburt Field, FL MacDill AFB, FL Patrick AFB, FL Tyndall AFB, FL Dobbins AFB, GA Moody AFB, GA Robins AFB, GA Hickam AFB, HI Mountain Home AFB, ID Scott AFB, IL Grissom AFB, IN Barksdale AFB, LA Hanscom AFB, MA Westover Air Reserve Base, MA Andrews AFB, MD Linthicum Heights, MD Selfridge ANG Base, MI Whiteman AFB, MO Columbus AFB, MS Keesler AFB, MS Malmstrom AFB, MT Grand Forks, ND Minot AFB, ND Offutt AFB, NE New Boston, NH McGuire AFB, NJ Cannon AFB, NM Holloman AFB, NM Kirtland AFB, NM Nellis AFB, NV Niagara Falls, NY Wright-Patterson AFB, OH Youngstown, OH Youngstown, OH Altus AFB, OK Tinker AFB, OK Vance AFB, OK Charleston, SC Shaw AFB, SC Arnold AFB, TN Dyess AFB, TX Fort Sam Houston, TX Goodfellow AFB, TX Kelly AFB, TX Lackland AFB, TX Laughlin AFB, TX Randolph AFB, TX Hill AFB, UT Alexandria, VA Arlington, VA Dahlgren, VA Fort Eustis, VA Langley AFB, VA Pentagon, Arlington, VA Fairchild AFB, WA McChord AFB, WA Warren AFB, WY Remote job No Telework eligible No Travel Required Occasional travel - You may be expected to travel for this position. Relocation expenses reimbursed No Appointment type Multiple Work schedule Full-time Service Competitive Promotion potential 15 Job family (Series) * 1520 Mathematics Supervisory status No Security clearance Secret Drug test No Position sensitivity and risk Noncritical-Sensitive (NCS)/Moderate Risk Trust determination process * Suitability/Fitness Financial disclosure No Bargaining unit status No Announcement number AFPC-STEMDHA-12*********** Control number 852876400 This job is open to Help The public U.S. Citizens, Nationals or those who owe allegiance to the U.S. Clarification from the agency This public notice is to gather applications that may or may not result in a referral or selection. Duties Help * Duties and responsibilities vary and may increase according to grade level * Plan and carry out the collection and analysis of information, data and standards used by the assigned organization to perform mathematics tasks. * Carry out special projects designed to facilitate the full use of the interns training and development. * Keep abreast of emerging technologies and professional developments to maintain current in the field and for application to work assignments. * Perform scientific work in the field of mathematics in support of conventional projects, or portions of larger projects and programs under the guidance of a senior mathematician or scientist. Requirements Help Conditions of employment * Please read this Public Notice in its entirety prior to submitting your application for consideration. * U.S. Citizenship is required * Males must be registered for Selective Service, see *********** * Total salary varies depending on location of position * If authorized, PCS will be paid IAW JTR and AF Regulations. If receiving an authorized PCS, you may be subject to completing/signing a CONUS agreement. More information on PCS requirements, may be found at: ***************************************** * Recruitment incentives may be authorized * Position may be subject to random drug testing * Employee may be required to work other than normal duty hours, to include evenings, weekends and/or holidays * Shift work and emergency overtime may be required * Employee must maintain current certifications * A security clearance may be required * Disclosure of Political Appointments is required Qualifications In order to qualify, you must meet the specialized experience requirements described in the Office of Personnel Management (OPM) Qualification Standards for General Schedule Positions, Group Coverage Qualification Standard for Professional and Scientific Positions. BASIC REQUIREMENT OR INDIVIDUAL OCCUPATIONAL REQUIREMENT: Degree: mathematics; or the equivalent of a major that included at least 24 semester hours in mathematics. OR Combination of education and experience - courses equivalent to a major in mathematics (including at least 24 semester hours in mathematics), as shown in A above, plus appropriate experience or additional education. SPECIALIZED EXPERIENCE: In addition to meeting the basic requirement above, to qualify for this position you must also meet the qualification requirements listed below. GS-11: One year of specialized experience (equivalent to GS-09) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes performing full range of activities required for the scientific area under study and utilizing an intense application of specialized methods and techniques of the required field of mathematics; gathering, analyzing and processing of data and information to support work efforts. GS-12: One year of specialized experience (equivalent to GS-11) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes directing, coordinating and reviewing work of the other members of the team; planning, organizing and conducting the operational and performance tests and technical evaluation of test results. GS-13: One year of specialized experience (equivalent to GS-12) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes advising and providing technical assistance to scientific, engineering, mathematical and managerial personnel on the mathematical aspects of range safety work; reviewing scientific and mathematical studies and papers and convert results into practical recommendations and procedures. GS-14: One year of specialized experience (equivalent to GS-13) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes formulating, conducting, organizing and directing highly creative and independent research programs; defining and selecting basic problems for investigation based on needed improvements to the state of the art in mathematical modeling; providing contractual technical direction to programs of considerable scope and complexity, with nominal, broad oversight. GS-15: One year of specialized experience (equivalent to GS-14) experience that equipped the applicant with the particular knowledge, skills, and abilities to perform successfully the duties of the position, and that is typically in or related to the work of the position to be filled. Your experience includes providing operational and scientific expertise to explore basic research initiatives for a new generation; overseeing policy development, plans, and operations in critical research initiatives and advanced technologies for future precision capabilities on a continuing or project basis; identifying and recommending critical research initiatives and establishes goals toward future precision capabilities. KNOWLEDGE, SKILLS AND ABILITIES (KSAs): * Knowledge of mathematics policies, theories, principles and concepts and familiarity with other scientific and engineering disciplines to carry out conventional scientific processes. * Knowledge of mathematics and related disciplines to design, develop and adapt scientific methods and techniques. * Knowledge of analytical techniques to develop, stimulate, and analyze data. * Ability to communicate effectively both orally and in writing. * Knowledge of computer operations and standard software applications. PART-TIME OR UNPAID EXPERIENCE: Credit will be given for appropriate unpaid and or part-time work. You must clearly identify the duties and responsibilities in each position held and the total number of hours per week. VOLUNTEER WORK EXPERIENCE: Refers to paid and unpaid experience, including volunteer work done through National Service Programs (i.e., Peace Corps, AmeriCorps) and other organizations (e.g., professional; philanthropic; religious; spiritual; community; student and social). Volunteer work helps build critical competencies, knowledge and skills that can provide valuable training and experience that translates directly to paid employment. You will receive credit for all qualifying experience, including volunteer experience. Education IF USING EDUCATION TO QUALIFY: If position has a positive degree requirement or education forms the basis for qualifications, you MUST submit transcriptswith the application. Official transcripts are not required at the time of application; however, if position has a positive degree requirement, qualifying based on education alone or in combination with experience; transcripts must be verified prior to appointment. An accrediting institution recognized by the U.S. Department of Education must accredit education. Click here to check accreditation. FOREIGN EDUCATION: Education completed in foreign colleges or universities may be used to meet the requirements. You must show proof the education credentials have been deemed to be at least equivalent to that gained in conventional U.S. education program. It is your responsibility to provide such evidence when applying. Additional information For Direct Hire (DHA) Positions: This is a Direct Hire Public Notice, under this recruitment procedure applications will be accepted for each location/ installation identified in this Public Notice and selections are made for vacancies as they occur. There may or may not be actual/projected vacancies at the time you submit your application. Interagency Career Transition Assistance Program (ICTAP): For information on

DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. **About DataRobot** DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. DataRobot's enterprise AI platform democratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The company's proven combination of cutting-edge software and world-class AI implementation, training, and support services empowers any organization, regardless of size, industry, or resources, to drive better business outcomes with AI. **About the role:** As a technical driver and hands-on expert, the Senior Data Engineer will shape our end-to-end data strategy and guide the team's technical execution. This role is responsible for building scalable Data Warehouse and Lakehouse solutions on Snowflake, championing the ELT paradigm, and ensuring robust data governance and cost optimization. We are looking for a seasoned engineer who combines deep technical mastery with a passion for mentoring others to build and influence high-impact, data-driven solutions. **Key Responsibilities:** + Architect and deliver scalable, reliable data warehouses, analytics platforms, and integration solutions. Critical role in supporting our internal AI strategy. + Partner with Product Manager, Analytics to shape our project roadmap and lead its implementation. Collaborate with and mentor cross-functional teams to design and execute sophisticated data software solutions that elevate business performance and align to coding standards and architecture. + Develop, deploy, and support analytic data products, such as data marts, ETL jobs (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, Stitch/Fivetran/Airflow, AWS services (e.g., EC2, lambda, kinesis). + Navigate various data sources and efficiently locate data in a complex data ecosystem. + Work closely with data analysts, and data scientists to build models and metrics to support their analytics needs. Data modeling enhancements caused by upstream data changes. + Instrument telemetry capture and data pipelines for various environments to provide product usage visibility. + Maintain and support deployed ETL pipelines and ensure data quality. + Develop monitoring and alerting systems to provide visibility into the health of data infrastructure, cloud applications, and data pipelines. + Partner with the IT enterprise applications and engineering teams on integration efforts between systems that impact data & Analytics + Work with R&D to answer complex technical questions about product analytics and corresponding data structure. **Knowledge, Skills, and Abilities:** + 5-7 years of experience in a data engineering or data analyst role. + Experience building and maintaining product analytics pipelines, including the implementation of event tracking (e.g., Snowplow) and the integration of behavioral data into Snowflake from platforms like Amplitude. + Strong understanding of data warehousing concepts, working experience with relational databases (Snowflake, Redshift, Postgres, etc.), and SQL. + Experience working with cloud providers like AWS, Azure, GCP, etc. + Solid programming foundations and proficiency in data-related languages like Python, Scala, and R. + Experience with DevOps workflows and tools like DBT, GitHub, Airflow, etc. + Experience with an infrastructure-as-code tool such as Terraform or CloudFormation + Excellent communication skills. Ability to effectively communicate with both technical and non-technical audiences + Knowledge of real-time stream technologies like AWS Firehose, Spark, etc. + Highly collaborative in working with teammates and stakeholders **Nice to Have:** + AWS cloud certification is a plus + BA/BS preferred in a technical or engineering field **Compensation Statement** The U.S. annual base salary range for this full-time position is between $180,000 and $210,000 USD/year. Actual offers may be higher or lower than this range based on various factors, including (but not limited to) the candidate's work location, job-related skills, experience, and education. The talent and dedication of our employees are at the core of DataRobot's journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees' well-being at the core. Here's what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! **DataRobot Operating Principles:** + Wow Our Customers + Set High Standards + Be Better Than Yesterday + Be Rigorous + Assume Positive Intent + Have the Tough Conversations + Be Better Together + Debate, Decide, Commit + Deliver Results + Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. **At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box.** We'd love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor's EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy (*************************************************** . DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business - today and in the future. For more information, visit our website (************************* and connect with us on LinkedIn (******************************************** . **_DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot's recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf._** **_Please note that DataRobot does not ask for money in its recruitment process._** **_DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any_** **_fees. Communication_** **_from our company will be sent from a verified email address using the @_** **_datarobot.com_** **_email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond._** **_Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels._** Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

Primary Responsibilities Develop web based user interfaces for analysis of operational and business data Create algorithmic data models Manage data sources and feeds for web based user interfaces Ability to deliver on deadline driven projects Work within a standards driven development approach Collaborate effectively with team members General Experience with the following: Familiarity with Data Analytics / Data Science practices Familiarity with Data Quality and Master Data Management practices Effective communication skills, both written and verbal Create technical design/specification documentation Experience with formal source control tools/methods Education and Experience Prefer bachelor's degree or above in Computer Science or related fiel 5+ years of development experience 4+ years of web development with AJAX skills 4+ years of database development experience 2+ Big Data experience: Hadoop, Hbase, Cassandra, MongoDB, etc. Database administration experience Skills and Knowledge Development/Management experience with most of the following: HTML, Javascript, XML PERL/PHP Adobe FLEX Oracle/MS SQL experience Informatica product suite Java Web Services Qualifications Big Data, HTML, Javascript, XML, Oracle/MS SQL, Data Analytics, Data Science Additional Information All your information will be kept confidential according to EEO guidelines.

Data Pipeline Development Design and implement complex, scalable ETL pipelines using Azure Fabric, Data Factory, and Synapse. Build and maintain transformation pipelines and data flows in Azure Fabric. Source data from diverse systems including APIs, legacy systems, and mainframes (nice to have). Automate data ingestion, transformation, and validation processes using PySpark and Python. Maintain source control hygiene and CI/CD pipelines (e.g., Azure DevOps, Jenkins). Database Design & Optimization Design and maintain relational and NoSQL databases (SQL Server, Oracle, etc.). Ensure referential integrity, indexing, and query optimization for performance. Data Infrastructure Management Manage data warehouses, data lakes, and other storage solutions on Azure. Monitor system performance, ensure data security, and maintain compliance. Data Modeling & Governance Develop and maintain logical and physical data models. Implement data governance policies and ensure data quality standards. Collaboration & Agile Development Work closely with business and technical teams to gather requirements and deliver solutions. Participate in agile ceremonies, sprint planning, and code reviews. Provide technical guidance and mentorship to team members. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ********************.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: **************************************************** Skills and Requirements Proven experience with Azure Data Services, especially Azure Fabric for data flows and transformation pipelines. Strong proficiency in SQL, Python, and PySpark. Experience with data warehousing, ETL/ELT, and data modeling. Familiarity with CI/CD, DevOps, and microservices architecture. Experience with relational (SQL Server, Oracle) and NoSQL databases. Strong analytical and problem-solving skills. Excellent communication skills, both written and verbal. Experience integrating data from mainframes or other legacy systems. Familiarity with mock data generation, data validation frameworks, and data quality tools. Exposure to data visualization and BI tools for delivering insights

**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

PeopleFinders.com, the premier online service for consumers to locate, contact and verify people and businesses. Over the past couple of decades the Company has quietly become one of the largest owners of public records data in the country, distributing its products over a vast network of websites. Role Overview The Senior Data Engineer is responsible for leading the design, development, and optimization of scalable, reliable data pipelines and data models that support analytics, reporting, and data-driven decision-making across the organization. This role works closely with Product, Engineering, Marketing, Finance, and Analytics teams to transform complex, multi-source data into high-quality, trusted datasets. As a senior individual contributor, this role provides technical leadership, sets data engineering standards, and helps shape the evolution of the organization's data platform while ensuring performance, reliability, and scalability. Salary - $110K - $125K Essential Duties & Responsibilities Design, build, and own scalable ETL/ELT pipelines ingesting data from third-party platforms such as HubSpot, Chargebee, Google Analytics, and other SaaS sources Lead data modeling and transformation efforts within Snowflake to support analytics, BI, and downstream consumers Architect and optimize data workflows for performance, scalability, and cost efficiency Integrate and manage data from operational databases including MongoDB and SQL Server Partner with analytics and business teams to enable high-quality dashboards and reporting in Tableau, Domo, and Power BI Establish and enforce best practices for data quality, validation, testing, and observability Monitor, troubleshoot, and resolve complex data pipeline and production issues Provide technical guidance and mentorship to Data Engineers and Analytics Engineers Collaborate with Engineering, Product, Data, and Operations teams to align data solutions with business priorities Contribute to data platform roadmap planning, tooling selection, and architectural decisions Qualifications Bachelor's degree in Computer Science, Engineering, Data Science, or equivalent practical experience 6+ years of experience in Data Engineering, Analytics Engineering, or related roles Advanced SQL skills and extensive experience working with large datasets in cloud data warehouses Deep hands-on experience with Snowflake, MongoDB, SQL Server and other database technologies Proven experience designing, building, and maintaining complex ETL/ELT pipelines Experience supporting BI and analytics platforms such as Tableau, Domo, and Power BI Strong understanding of data modeling, dimensional modeling, and analytics engineering best practices Ability to lead technical initiatives and communicate complex concepts to technical and non-technical stakeholders Preferred Experience Experience with modern data stack tools such as dbt, Airflow, Fivetran, or Stitch Experience designing semantic models or enterprise datasets optimized for Power BI Experience supporting marketing, subscription, revenue, or product analytics use cases Familiarity with APIs, event-driven data, and semi-structured data formats Experience optimizing cloud data warehouse performance and cost at scale Exposure to data governance, security, privacy, or compliance-aware environments Experience acting as a technical lead or senior individual contributor within a data team Benefits Flexible PTO 6% 401K match 100% of the cost paid for the employee for medical, dental and vision 60% of the cost paid for dependents for medical, dental and vision

We are once again working with an exciting organization, they are looking for a Data Engineer to join their team. Your responsibilities will involve maintaining and enhancing the Registry's data acquisition, integration, and ETL pipelines in support of both operational and business intelligence data stores. The incumbent is responsible for applying diverse data cleansing and transformation techniques as well as the ongoing management and monitoring of all Registry databases. This includes addressing issues pertaining to the ongoing operations and optimization of the data environment including performance, reliability, logging, scalability, etc. This position will also provide support for the companies database systems, warehouse, marts, and supporting applications. Your will also lead the efforts to develop a unified enterprise data model for the organization. Design, develop, and maintain high\-performance data platforms on premise and in Microsoft Azure cloud\-based environments including leading the development of a data warehouse environment to support the Registry's business intelligence roadmap. Champion efforts that will ensure that the organizations business intelligence applications remain relevant for use by internal business groups by actively participating in strategy and project planning discussions. You will work collaboratively with Registry participants and internal support teams, identify and implement changes that improve system performance and the user experience. You will design, develop, and maintain the ETL pipelines using SSIS that standardize raw data from multiple data sources and optimize both the operational and dimensional\/star schema data model necessary for transactional systems and business intelligence applications. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions aligning to an overall data architecture. Extract, transform, and load data to and from various data sources including relational databases, NoSQL databases, web services, and flat files. Produce various technical documents such as ER diagrams, table schemas, data lineage, API documents, etc. Provide leadership and oversight on database architectural design for existing systems including database administration, performance monitoring, and troubleshooting. Provide complex analysis, conceptualize, design, implement, and develop solutions for critical data\-centric projects. Perform data flow, system and data analysis, and develop meaningful and useful presentation of data in downstream applications. Plan and implement standards, define\/code conformed global and reusable objects, perform complex database design and data repository modeling. Monitor ETL processes, system audits, dashboard reporting, and presentation layer functioning and performance. Proactively identify and implement procedures that resolve performance and\/or data reporting issues. Support the optimal performance of the organization's data and BI systems. Monitor database performance, provide optimization recommendations, and implement recommendations. Follow the release cycles and implement on\-time delivery of task assignments, defect correction, change requests, and enhancements. Troubleshoot and solve technical problems. Perform other responsibilities as assignment by management. Requirements Relevant work experience in a data engineering role leveraging SQL, SSIS; including design and support of ETL routines that support the import of data from multiple data sources Data warehousing experience including the design, development, and ongoing support of star or snowflake data schemas to support business intelligence applications Database administration or database development experience in a SQL or MySQL environment; knowledge of Microsoft technology stack; background in Azure Infrastructure as a Service environment desired Experience working with both structured and unstructured data Demonstrated understanding of Business Intelligence and data solutions including cubes, data warehouse, data marts, and supporting schema types (star, snowflake, etc.) Data modeling experience in building logical and physical data models Applied knowledge of Microsoft Security\/Authentication Concepts (Active Directory, IIS, Windows OS) Strong technical planning skills with the ability to prioritize and multitask across a number of work streams Polished presentation skills; experience creating and presenting findings to executive level staff Strong written, verbal and interpersonal communication skills, with an ability to communicate ideas and solutions effectively Must be highly collaborative with the ability to manage and motivate project teams and meet deliverables Ability to build strong stakeholder relationships and translate complex technical concepts to non\-technical stakeholders Knowledge of SSRS or PowerBI is a plus "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"61675964","FontFamily":"PuviRegular","job OtherDetails":[{"field Label":"Work Experience","uitype":2,"value":"5+ years"},{"field Label":"Industry","uitype":2,"value":"Nonprofit Charitable Organizations"},{"field Label":"Job Opening ID","uitype":111,"value":"ZR_122_JOB"},{"field Label":"City","uitype":1,"value":"Rosemont"},{"field Label":"State\/Province","uitype":1,"value":"Illinois"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"60018"}],"header Name":"Data Engineer","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00096003","attach Arr":[],"custom Template":"5","is CandidateLoginEnabled":false,"job Id":"**********06121001","FontSize":"15","google IndexUrl":"https:\/\/360techstaffing.zohorecruit.com\/recruit\/ViewJob.na?digest=tX.9.R6Jttlwt1o4GuBo5RIKJIi1gi01DJHcMBHXWu0\-&embedsource=Google","location":"Rosemont","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do"}

About the role The Kuvare Data Engineer is responsible for the retrieval, storage, and distribution of data across varied platforms and data stores, including modern ETL/ELT pipelines such as Azure Data Factory, as well as modern models such as data mesh and event streaming architectures like Azure Event Hub or Kafka. The individual will rely on broad experience in data modeling, including relational and dimensional models as well as semi-structured and unstructured data forms such as JSON, YAML, and PDF. This role has a direct business impact by providing rapid enhancements to the data platform in support of new business relationships, new consumer products, etc. What you'll do · Research architectural trends, design methods, and emerging technologies, in adherence to and in support of company standards, helping Kuvare develop and maintain a nimble technology platform for adapting to new business opportunities. · Work with Business SMEs and end users - including external business partners and vendors - to translate business requirements into technical specifications, including technical designs, data flow diagrams, and other technical artifacts. · Create data pipelines to ingest, update, or transport data to/from any variety of data stores, from external data files to internal dimensional or relational models; and leveraging a broad toolset including SFTP, Azure Data Factory, Azure Event Hub, SQL Stored Procedures, etc. · Leverage excellent SQL skills to build structured data repositories: tables, views, indexes, constraints, etc. · Perform tests and evaluations to ensure reliability, data security, privacy, and integrity. · Other Responsibilities · Ability and willingness to travel occasionally, such as for monthly meetings at the local office and an annual IT summit at a Kuvare hub office, which might be Baton Rouge, Cedar Rapids, or Chicago. · Occasional evening and weekend work to meet deadlines. · Other duties and responsibilities as assigned. Qualifications · Bachelor's degree in computer science, information systems, computer engineering or related field; or an equivalent combination of education and experience. · Extensive experience with Microsoft SQL Server and the Azure environment. · Expertise in relational and dimensional database modeling, data development and administration. · Extensive experience with ETL/ELT pipelines including any combination of modern tools such as SSIS, Azure Data Factory, Function Apps, Logic Apps, etc. · Analytic and problem-solving skills and experience. · Excellent written and oral communication skills.

About the RoleThe Martech Data Science Team at Gap Inc. applies AI and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team's focus is on building capabilities that power personalized customer experiences and optimize marketing to grow customer lifetime value and advance Gap Inc.'s AI transformation. Areas of expertise include advanced predictive modeling, marketing effectiveness, and business growth, as well as developing and scaling models on modern platforms and embedding them into marketing workflows. You will help build and deploy production capabilities, in partnership with Engineering, Product Management, Central Marketing, and business partners across our brands.What You'll Do Develop software programs, algorithms, and automated processes that cleanse, integrate, and evaluate large data sets from multiple disparate sources Manipulate large amounts of data across a diverse set of subject areas, collaborating with other data scientists and data engineers to prepare reliable data pipelines and shared feature sets for various modeling protocols Build, validate, and maintain AI (Machine Learning / Deep Learning) models, diagnose and optimize performance, and develop statistical models and analysis for ad hoc business-focused questions Design and execute structured experimentation and testing (e.g., A/B tests, multivariate tests, RL/bandit experiments) to measure incremental impact, refine models, and continuously improve marketing strategies across brands and channels Communicate meaningful, actionable insights and model outputs to stakeholders, translating them into clear go-to-market recommendations that influence campaign design, offer strategy, contact strategy, and customer experience Build cross-functional partnerships and consensus with engineering, product management, central marketing, and brand strategy teams to integrate models into marketing campaigns, journeys, and agentic AI workflows at scale Influence strategy for the Martech Data Science team, including migration and modernization of models on GCP, accelerating agentic AI-driven decisioning, and strengthening a rigorous, test-and-learn culture across campaigns and customer experiences Who You Are Advanced proficiency in R, Python, Spark, Hive (or other MR), and common scripting languages for E2E pipeline development. Advanced proficiency using SQL for efficient manipulation of large datasets in on-prem and cloud distributed computing environments, such as Azure and GCP-based environments Experience with ML and classical predictive techniques such as logistic regression, decision trees, non-linear regressions, ANN/CNN, boosted trees, SVM, TensorFlow, and visualization packages; familiarity with reinforcement learning / bandit methods and uplift / causal modeling is a strong plus, along with a track record of creating business impact with these methods in marketing or personalization contexts Ability to work both at a detailed level (data wrangling, feature engineering, model diagnostics) as well as summarize findings and extrapolate knowledge to make strong recommendations for change, explicitly linking models and tests to incremental revenue, margin, customer LTV, and contact efficiency Ability to collaborate with cross-functional teams and influence product and analytics roadmaps, with a demonstrated proficiency in relationship building and in operationalizing models into campaigns, journeys, and orchestration platforms Ability to assess relatively complex situations and analyze data to make judgments and recommend solutions, balancing short-term performance vs. long-term customer value, and navigating tradeoffs across revenue, profitability, customer experience, and contact pressure