Senior data scientist jobs in Kentucky

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our ******************************** is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. While many roles at Coinbase are remote-first, we are not remote-only. In-person participation is required throughout the year. Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** *Global Data Privacy Notice for Job Candidates and Applicants* Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available ********************************************************** By submitting your application, you are agreeing to our use and processing of your data as required. *AI Disclosure* For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com

**Employment Type:** FullTime Remote **Department** Finance & Operations, Data **Compensation:** $170.8K - $200.7K - Offers Equity _At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here (****************************** _._ **Overview** We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them. It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together. One Confluent. One Team. One Data Streaming Platform. **About the Team:** The mission of the Data Science team at Confluent is to serve as the central nervous system of all things data for the company: we build infrastructure, metrics, insights, and models. Our team of data scientists is dedicated to designing and deploying advanced data solutions that enable organizations across the globe harness the power of real-time data. We focus on driving actionable insights and optimizing business outcomes across our customers' data ecosystems. Our outputs enable data-driven thinking and help optimize every part of the business. There are limitless opportunities for an ambitious data scientist to make an immediate and meaningful impact within our high-growth company. **About the Role:** As a Senior Data Scientist at Confluent, you will be a key player in helping define the product roadmap and driving revenue growth at Confluent. You will collaborate with our Product team and cross-functional partners across the organization. You will use data and analysis to identify and solve challenges, unlocking growth and adoption across our suite of products. This role requires a strong blend of technical skills, strategic thinking and leadership skills to influence strategy and investment decisions. **What You Will Do:** + Own prioritization for your domain and collaborate with product managers, engineers, marketing leads, and other stakeholders to define the data science roadmap for your product area + Work across the org to define and measure success metrics for new features and initiatives + Utilize data to uncover trends, identify opportunities for growth, drive strategic product decisions, and shape product roadmaps + Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to improve product experience + Share actionable insights and recommendations with leadership at various levels, playing a pivotal role in determining Product strategy + Collaborate with other data scientists across our organization to share best practices, learn new analytical techniques, and champion an organizational culture where data is central to decision making + Peer review teammates' work and provide feedback, working to upskill more junior team members **What You Will Bring:** + Strong stakeholder management skills with the ability to influence and build relationships at all levels of the organization. + 7+ years of experience in Data Science/Analytics + Excellent communication skills, and ability to collaborate effectively with technical and non-technical stakeholders + Exceptional problem solving skills and analytical skills + Strong proficiency in data manipulation with data querying languages (e.g. SQL) and scripting languages (e.g. Python). + Proficiency in data visualization and building dashboards with tools such as Tableau + Experience with A/B testing and experiment best practices + Experience and knowledge of causal inference, machine learning and other advanced analytical methods + Bachelor or advanced degree in a quantitative discipline: computer science, engineering, statistics, economics, etc. **What Gives You an Edge:** + Experience in SaaS/Product-led Growth companies **Ready to build what's next? Let's get in motion.** **Come As You Are** Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible. We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.

Senior Data Scientist, Training Aircraft Readiness (4762)at SMX(View all jobs) (********************************* United States SMX is looking for a Training Aircraft Readiness Senior Data Scientist to support the Naval Undergraduate Flight Training Systems Program Office (PMA 273) at Patuxent River Naval Air Station in Lexington Park, MD. PMA-273 is responsible for managing the aircraft, simulators, and associated systems that support the U.S. Navy's undergraduate pilot training pipeline. This Program Office's purview includes the acquisition, development and maintenance of six trainer aircraft: TH-73 Thrasher, T-44 Pegasus, T-45 Goshawk, T-6 Texan II, and T-54A Marlin II. These aircraft and programs also include related simulator suites, academic materials, computer-based training integration systems and contractor logistics support. **Essential Duties & Responsibilities** + Lead advanced training aircraft readiness analysis, applying statistical modeling, predictive analytics, and readiness metrics evaluation to identify trends, assess training aircraft readiness performance, and provide actionable insights that improve mission availability. + Provide high-level subject matter expertise, analysis, and technical guidance to support project execution. **Required Skills/Experience** + Clearance Required: Secret + A Management, Technical or Scientific master's degree from an accredited college or university is required. + Allowable substitution: a Business, Management, Technical or Scientific BS or BA degree from an accredited college or university and an additional four (4) years of recent and relevant experience. + Must have at least ten (10) years of recent and relevant experience in an engineering or operations analysis position, three (3) of which must be directly related to DoD systems + Must have demonstrated experience in area of engineering expertise. + Proficiency in analyzing and extracting data from DoD aviation maintenance and logistics systems (e.g., NALDA, OOMA, DECKPLATE). + Experience working with aircraft maintenance, logistics, and readiness data to evaluate fleet performance and operational availability. + Knowledge of DoD aviation maintenance processes, readiness metrics (Full-Mission Capable (FMC) & Mission Capable (MC) rates) and reporting standards. + Ability to integrate data across multiple DoD systems to perform trend analysis, predictive maintenance forecasting, and readiness assessments. + Familiarity with DoD data governance, security, and compliance requirements, including handling of controlled unclassified information (CUI). + Experience building dashboards and readiness reports for senior leadership and program managers within defense organizations. + Expertise in applying statistical and analytical methods directly to aircraft sustainment and operational readiness problems. **Application Deadline:** 12/10/2025 \#cjpost #LI-REMOTE The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement. The proposed salary for this position is: $105,200-$175,300 USD At SMX , we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success. We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what's possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration. SMX is an Equal Opportunity employer including disabilities and veterans. Selected applicant may be subject to a background investigation and/or education verification. SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry's digital marketplace gives manufacturers the critical resources they need to grow their business while also making it easy for buyers at Fortune 1000 companies to tap into global manufacturing capacity. Xometry is adding a Senior Data Scientist to our cost prediction team. The ideal candidate will have a passion for using machine learning tools and techniques to construct, optimize, and evaluate predictive models that predict the likelihood of different business outcomes. Additionally, this person will use their knowledge of probability and statistics to make defensible statistical inferences from data. Responsibilities: Use data science and machine learning principles to develop effective predictive models using 3D data Write software to prepare, clean, and sample data for use in developing predictive models Use cloud resources (e.g., Amazon Web Services) to prepare and process data Query and extract data from databases (Snowflake and MongoDB) Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and Looker) to inform the business strategy Relentlessly iterate solutions within a fast-paced environment where ambiguity is the norm Solve challenging, uncharted problems Work in an environment that thrives on teamwork and continuous learning opportunities Requirements: Bachelor's degree required; degree in applied math, computer science, natural sciences or engineering preferred M.S. or PhD in a related field highly desired 5+ years of experience with machine learning, statistical modeling, and optimization techniques 2+ years of experience in 3D deep learning; Mesh, Volumetric, and/or Point Clouds Fluent in Python (pandas, numpy, SciPy, and scikit-learn preferred) Proficient in linear algebra and statistics Familiar with scientific software principals, e.g. versioning systems, reproducibility, code deployment Experience in the manufacturing industry is desired Must be a US Citizen or Green Card holder (ITAR) #LI-Hybrid Xometry is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. For US based roles: Xometry participates in E-Verify and after a job offer is accepted, will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U.S.

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. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + 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. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

CURRENT EMPLOYEES, CONSULTANTS, AND AGENCY PARTNERS: If you currently work for Brown-Forman, please apply by clicking the Careers icon on the Workday portal. For best results, use Google Chrome to view this page.Brown-Forman's Data Scientists are part of the Global Advanced Analytics team, which operates at the forefront of business strategy by transforming data into actionable insights. We work in close partnership with a variety of functional groups, including Global Production, Finance, Marketing, and Sales, on a global scale. Our team's expertise spans modeling, feature engineering, data visualization, data management, and cross-functional collaboration. This is a senior-level opportunity to directly influence our business operations by using advanced analytics to solve our most challenging problems and mentor junior team members. What You Can Expect: ● Leads the development and deployment of causal and predictive models using statistical programming languages like R and Python based on integrated data from numerous sources, often stored in a SQL environment. You will be responsible for designing and implementing advanced algorithms to build new data and expand modeling capabilities. A key part of this role is providing rigorous proof and explanation for model acceptance tests to executive stakeholders. You will also mentor and guide junior data scientists in their modeling efforts. ● Drives definition and implementation of advanced data visualization strategies using tools like Tableau. Your goal is to go beyond simple reporting to create compelling data-driven narratives that provide clear and concise insights for senior leadership. You will lead the resolution of complex issues related to dashboard development and delivery, and champion the adoption of best practices across the team. ● Architects solutions for handling large-scale data and computation in collaboration with the Business Intelligence team. You will be responsible for identifying, integrating, and formatting new data sources to ensure they are reliable and robust for use in complex decision-making. ● Partners with stakeholders in the organization, translating complex business problems into clear analytical solutions. You will be expected to manage the delivery of multiple projects from end-to-end, employing project management techniques. You will communicate complex methodologies, lead training sessions, and drive usage and adoption of our tools and applications across the enterprise. What You Bring to the Table: Education & Professional Experience: ● BA/BS in Economics, Statistics, Computer Science, Engineering, Mathematics, Business Analytics or related fields. ● 5+ years of relevant work experience. Technical Qualifications: ● Experience analyzing large, complex, multi-dimensional datasets with a variety of tools. ● Proficiency in statistical analysis environments such as R. ● Experience with relational databases like SQL. ● An understanding of both structured and unstructured data. ● Experience applying statistical concepts to real-world applications. ● Experience defining and refining project deliverables and scope. ● Demonstrated ability to independently prepare sophisticated statistical analyses with accuracy and within an established time frame. ● Extensive experience with data visualization tools like Tableau, including a proven record of driving adoption. What Makes You Unique: ● Our strongest candidates are intellectually curious and proactive self-starters. They are team contributors who prioritize the success of the group and demonstrate interpersonal skills to build effective relationships with all levels of personnel. We are looking for problem-solvers who can work independently with the support of the team, have a desire to improve processes, and adapt well to change. Who We Are: We believe great people build great brands. And we know there is Nothing Better in the Market than a career at Brown-Forman. Being a part of Brown-Forman means you will grow both personally and professionally. You will have the opportunity to solve problems, seize opportunities, and generate bold ideas. You will belong to a place where teamwork matters and where you are encouraged to bring your best self to work. What We Offer: Total Rewards at Brown-Forman is designed to engage our people to ensure sustainable and profitable growth for generations to come. As a premium spirits company, we offer equitable pay structures for individual and company performance alongside a premium employee experience. We offer a range of premium benefits that reflect our company values and meet the needs of our diverse workforce. #LI Requisition Type: Employee Management Level: Professional Global Job Level: P6 Number of Openings Available: 1

Oracle Cloud Infrastructure (OCI) is a pioneering force in cloud technology, merging the agility of startups with the robustness of an enterprise software leader. Within OCI, the Oracle Ai Infra / Gen AI Cloud Engineering team spearheads innovative solutions at the convergence of artificial intelligence and cloud infrastructure. As part of this team, you'll contribute to large-scale cloud solutions utilizing cutting-edge machine learning technologies, aimed at addressing complex global challenges. Join us to create innovative solutions using top-notch machine learning technologies to solve global challenges. We're looking for an experienced Principal Applied Data/Computational Scientist to join our Cloud Engineering team for strategic customers. In this role, you'll collaborate with applied scientists and product managers to design, develop, and deploy tailored Gen-AI solutions with an emphasis on Large Language Models (LLMs), Agents, MCP and Retrieval Augmented Generation (RAG) with large OpenSearch clusters. You will be responsible for identifying, solutioning, and implementing AI solutions to the corresponding GPU IaaS or PaaS. **Qualifications and experience** + Doctoral or master's degree in computer science or equivalent technical field with 10+ years of experience + Able to optimally communicate technical ideas verbally and in writing (technical proposals, design specs, architecture diagrams and presentations). + Demonstrated experience in designing and implementing scalable AI models and solutions for production, relevant professional experience as end-to-end solutions engineer or architect (data engineering, data science and ML engineering is a plus), with evidence of close collaborations with PM and Dev teams. + Experience with OpenSearch, Vector databases, PostgreSQL and Kafka Streaming. + Practical experience with setting up and finetuning large OpenSearch Clusters. + Experience in setting up data ingestion pipelines with OpenSearch. + Experience with search algorithms, indexing, optimizing latency and response times. + Practical experience with the latest technologies in LLM and generative AI, such as parameter-efficient fine-tuning, instruction fine-tuning, and advanced prompt engineering techniques like Tree-of-Thoughts. + Familiarity with Agents and Agent frameworks and Model Context Protocol (MCP) + Hands-on experience with emerging LLM frameworks and plugins, such as LangChain, LlamaIndex, VectorStores and Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, Guidance, etc. + Strong publication record, including as a lead author or reviewer, in top-tier journals or conferences. + Ability and passion to mentor and develop junior machine learning engineers. + Proficient in Python and shell scripting tools. **Preferred Qualifications** : + PhD/Masters in related field with 5+ years relevant experience + Experience with RAG based solutions architecture. Familiarity in OpenSearch and Vector stores as a knowledge store + Knowledge of LLM and experience delivering, Generative AI And Agent models are a significant plus. + Familiarity and experience with the latest advancements in computer vision and multimodal modeling is a plus. + Experience with semantic search, multi-modal search and conversational search. + Experience in working on a public cloud environment, and in-depth knowledge of IaaS/PaaS industry and competitive capabilities. Experience with popular model training and serving frameworks like KServe, KubeFlow, Triton etc. + Experience with LLM fine-tuning, especially the latest parameter efficient fine-tuning technologies and multi-task serving technologies. + Deep technical understanding of Machine Learning, Deep Learning architectures like Transformers, training methods, and optimizers. + Experience with deep learning frameworks (such as PyTorch, JAX, or TensorFlow) and deep learning architectures (especially Transformers). + Experience in diagnosing, fixing, and resolving issues in AI model training and serving. **Responsibilities** **Responsibilities** As part of the **OCI Gen AI Cloud Engineering team** for strategic customers team, you will be responsible for developing innovative Gen AI and data services for our strategic customers. As a Principal Applied Data/Computational Scientist , you'll lead the development of advanced Gen AI solutions using the latest ML technologies combined with Oracle's cloud expertise. Your work will significantly impact sectors like financial services, telecom, healthcare, and code generation by creating distributed, scalable, high-performance solutions for strategic customers. + Work directly with key customers and accompany them on their Gen AI journey - understanding their requirements, help them envision and design and build the right solutions and work together with their ML engineering to remove blockers. + You will dive deep into model structure to optimize model performance and scalability. + You will build state of art solutions with brand new technologies in this fast-evolving area. + You will configure large scale OpenSearch clusters, setting up ingestion pipelines to get the data into the OpenSearch. + You will diagnose, troubleshoot, and resolve issues in AI model training and serving. You may also perform other duties as assigned. + Build re-usable solution patterns and reference solutions / showcases that can apply across multiple customers. + Be an enthusiastic, self-motivated, and a great collaborator. + Be our product evangelist - engage directly with customers and partners, participate and present in external events and conferences, etc. Disclaimer: **Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.** **Range and benefit information provided in this posting are specific to the stated locations only** US: Hiring Range in USD from: $113,100 to $185,100 per annum. May be eligible for equity. Eligible for commission with an estimated pay mix of 70/30. Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. Oracle US offers a comprehensive benefits package which includes the following: 1. Medical, dental, and vision insurance, including expert medical opinion 2. Short term disability and long term disability 3. Life insurance and AD&D 4. Supplemental life insurance (Employee/Spouse/Child) 5. Health care and dependent care Flexible Spending Accounts 6. Pre-tax commuter and parking benefits 7. 401(k) Savings and Investment Plan with company match 8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation. 9. 11 paid holidays 10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours. 11. Paid parental leave 12. Adoption assistance 13. Employee Stock Purchase Plan 14. Financial planning and group legal 15. Voluntary benefits including auto, homeowner and pet insurance The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted. Career Level - IC4 **About Us** As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_************* or by calling *************** in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

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

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

Are you passionate about harnessing data to drive business strategy and shape decision-making at the highest levels? Do you thrive at the intersection of finance, analytics, and innovative problem-solving? If so, Deloitte invites you to step into a pivotal role as a Lead Data Scientist. At Deloitte, you'll work alongside a team of accomplished professionals, delivering impactful financial planning and advanced analytics for our Strategic Analytics function in a rapidly evolving business landscape. As a strategic advisor to executive leaders, you'll have the opportunity to influence major decisions, develop cutting-edge data science solutions, and see your insights translate into real-world results. We offer an environment built for growth-for both your technical and leadership abilities. You'll collaborate on high-visibility projects, contribute directly to business outcomes, and expand your expertise with the resources of a top-tier firm. If you're driven to make a difference and ready for meaningful professional and personal development, consider joining our Data Science team at Deloitte Strategic Analytics. The team and the role The Strategic Analytics team is dedicated to delivering actionable insights to finance and operational leaders, empowering them to make data-driven decisions that drive organizational success. By leveraging advanced analytical techniques and cutting-edge technologies, the team transforms complex data into clear, strategic recommendations. Our team members collaborate closely with various departments to understand their unique challenges and opportunities, ensuring that our analyses are both relevant and impactful. Join us to be at the forefront of strategic decision-making, where your analytical skills will directly contribute to shaping the future of our Firm. The successful candidate will possess: Recruiting for this role ends on December 14, 2025 Key responsibilities: + Lead Data-Driven Consulting Projects: Manage end-to-end delivery of analytics and strategic initiatives for clients, translating business objectives into actionable data science solutions. + Advanced Data Analysis: Develop statistical models and machine learning algorithms to solve complex client problems and inform decision-making. + Strategic Planning & Execution: Support and drive high-impact projects by evaluating business challenges, designing project roadmaps, and implementing analytic solutions. + Stakeholder Engagement: Collaborate with cross-functional teams (including business, technology, and finance leads) to understand requirements, secure buy-in, and communicate findings effectively. + Insight Generation & Reporting: Transform large and complex data sets into meaningful insights, and communicate findings via presentations and dashboards tailored for executive audiences. + Continuous Improvement: Stay up to date with emerging data science trends, tools, and best practices to enhance project outcomes and client value. + Financial Analysis: Apply financial acumen to project work, offering insights on revenue impact, cost optimization, and other finance-related considerations. Required Qualifications + Education: Bachelor's or Master's degree in a quantitative field (e.g., Data Science, Mathematics, Statistics, Engineering, Business Analytics, Finance, or related discipline). + Minimum of 3+ years of relevant experience + Data Science Techniques: Proficient in advanced analytics, statistical modeling, machine learning, and data visualization tools (such as Python, R, SQL, Tableau, or Power BI). + Strategic Thinking: Demonstrated ability to translate analytical findings into actionable business strategies and recommendations. + Consulting Experience: Proven track record of delivering value in a client-facing or advisory capacity. + Communication: Demonstrated ability to explain technical concepts to non-technical stakeholders and craft executive presentations. + Ability to travel 0-5 %, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available Preferred Qualifications: + Finance Acumen: Familiarity with financial principles, statements, and metrics; previous experience supporting finance-related projects or functions is a plus. + Familiarity with Databricks and Azure platforms. The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 to $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation: ************************************************************************************************************ EA_ExpHire EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: * Analyse and identify the linkages and interactions between the component parts of an entire system. * Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion. * Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables. * Develop skills outside your comfort zone, and encourage others to do the same. * Effectively mentor others. * Use the review of work as an opportunity to deepen the expertise of team members. * Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate. * Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements. Minimum Degree Required Bachelor's Degree Minimum Year(s) of Experience 7 year(s) Demonstrates extensive-level abilities and/or a proven record of success managing the identification and addressing of client needs: * Managing development teams in building of AI and GenAI solutions, including but not limited to analytical modeling, prompt engineering, general all-purpose programming (e.g., Python), testing, communication of results, front end and back-end integration, and iterative development with clients * Documenting and analyzing business processes for AI and Generative AI opportunities, including gathering of requirements, creation of initial hypotheses, and development of AI/GenAI solution approach * Collaborating with client team to understand their business problem and select the appropriate models and approaches for AI/GenAI use cases * Designing and solutioning AI/GenAI architectures for clients, specifically for plugin-based solutions (i.e., ChatClient application with plugins) and custom AI/GenAI application builds * Managing teams to process unstructured and structured data to be consumed as context for LLMs, including but not limited to embedding of large text corpus, generative development of SQL queries, building connectors to structured databases * Managing daily operations of a global data and analytics team on client engagements, review developed models, provide feedback and assist in analysis; * Directing data engineers and other data scientists to deliver efficient solutions to meet client requirements; * Leading and contributing to development of proof of concepts, pilots, and production use cases for clients while working in cross-functional teams; * Facilitating and conducting executive level presentations to showcase GenAI solutions, development progress, and next steps * Structuring, write, communicate and facilitate client presentations; and, * Managing associates and senior associates through coaching, providing feedback, and guiding work performance. Demonstrates extensive abilities and/or a proven record of success learning and performing in functional and technical capacities, including the following areas: * Managing GenAI application development teams including back-end and front-end integrations * Using Python (e.g., Pandas, NLTK, Scikit-learn, Keras, etc.), common LLM development frameworks (e.g., Langchain, Semantic Kernel), Relational storage (SQL), Non-relational storage (NoSQL); * Experience in analytical techniques such as Machine Learning, Deep Learning and Optimization * Vectorization and embedding, prompt engineering, RAG (retrieval, augmented, generation) workflow dev * Understanding or hands on experience with Azure, AWS, and / or Google Cloud platforms * Experience with Git Version Control, Unit/Integration/End-to-End Testing, CI/CD, release management, etc. Travel Requirements Up to 80% Job Posting End Date Learn more about how we work: ************************** PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: *********************************** As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law. For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all. Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: *************************************** The salary range for this position is: $99,000 - $232,000, plus individuals may be eligible for an annual discretionary bonus. For roles that are based in Maryland, this is the listed salary range for this position. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: ***********************************

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves and build a better world -- together. At Ford, we're all a part of something bigger than ourselves. What will you make today? As part of our Manufacturing team, you'll help build the world-class, state-of-the-art smart vehicles we're known for. In our plants around the world, we're constantly developing new technologies and processes to further increase our efficiency. You'll get the satisfaction of making great products people use and love. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions. What you'll do… * Programming & Databases: * Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) * SQL (Advanced querying, stored procedures, query optimization) * Cloud Platforms & Big Data: * Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc * Data Technologies & Protocols: * MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining * Manufacturing & IIoT: * Industrial Internet of Things (IIoT) Architectures & Principles * Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) * Familiarity with software for data access/visualization tools * Manufacturing Environment & Equipment Data * Machine Learning & Statistical Analysis: * Quality Control/Prediction, Process Optimization * Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) * Statistical Modeling, Hypothesis Testing * Visualization & UI/Dashboard Development: * Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) * UI/UX Design Principles for Data Applications * Data Storytelling * Software Development & Operations: * Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: * Develop and validate machine learning and statistical models to support business strategy. * Gather, manage, and analyze structured and unstructured data for reporting and analytics. * Research and apply innovative analytical methodologies and techniques. * Collaborate with cross-functional teams to define objectives and develop actionable insights. * Interpret and present analytical results * Create comprehensive reports, projections, and visual presentations. * Adhere to established guidelines and contribute to strategic discussions.

REMOTE / FULL TIME Amira Learning accelerates literacy outcomes by delivering the latest reading and neuroscience with AI. As the leader in third-generation edtech, Amira listens to students read out loud, assesses mastery, helps teachers supplement instruction and delivers 1:1 tutoring. Validated by independent university and SEA efficacy research, Amira is the only AI literacy platform proven to achieve gains surpassing 1:1 human tutoring, consistently delivering effect sizes over 0.4. Rooted in over thirty years of research, Amira is the first, foremost, and only proven Intelligent Assistant for teachers and AI Reading Tutor for students. The platform serves as a school district's Intelligent Growth Engine, driving instructional coherence by unifying assessment, instruction, and tutoring around the chosen curriculum. Unlike any other edtech tool, Amira continuously identifies each student's skill gaps and collaborates with teachers to build lesson plans aligned with district curricula, pulling directly from the district's high-quality instructional materials. Teachers can finally differentiate instruction with evidence and ease, and students get the 1:1 practice they specifically need, whether they are excelling or working below grade level. Trusted by more than 2,000 districts and working in partnership with twelve state education agencies, Amira is helping 3.5 million students worldwide become motivated and masterful readers. About this role: We are seeking a Data Scientist with expertise in the domain of reading science, education, literacy, and NLP; with practical experience building and utilizing Gen AI (LLM, image, and/or video) models. You will help to create Gen AI based apps that will power the most widely used Intelligent Assistant in U.S. schools, already helping more than 2 million children. We are looking for strong, education focused engineers who have a background using the latest generative AI models, with experience in areas such as prompt engineering, model evaluation; data processing for training and fine-tuning; model alignment, and human-feedback-based model training. Responsibilities include: * Design methods, tools, and infrastructure to enable Amira to interact with students and educators in novel ways. * Define approaches to content creation that will enable Amira to safely assist students to build their reading skills. This includes defining internal pipelines to interact with our content team. * Contribute to experiments, including designing experimental details and hypothesis testing, writing reusable code, running evaluations, and organizing and presenting results. * Work hands on with large, complex codebases, contributing meaningfully to enhance the capabilities of the machine learning team. * Work within a fully distributed (remote) team. * Find mechanisms for enabling the use of the Gen AI to be economically viable given the limited budgets of public schools. Who You Are: * You have a background in early education, reading science, literacy, and/or NLP. * You have at least one year of experience working with LLMs and Gen AI models. * You have a degree in computer science or a related technical area. * You are a proficient Python programmer. * You have created performant Machine Learning models. * You want to continue to be hands-on with LLMs and other Gen AI models over the next few years. * You have a desire to be at a Silicon Valley start-up, with the desire and commitment that requires. * You are able to enjoy working on a remote, distributed team and are a natural collaborator. * You love writing code - creating good products means a lot to you. Working is fun - not a passport to get to the next weekend. Qualifications * Bachelor's degree, and/or relevant experience * 1+ years of Gen AI experience - preferably in the Education SaaS industry * Ability to operate in a highly efficient manner by multitasking in a fast-paced, goal-oriented environment. * Exceptional organizational, analytical, and detail-oriented thinking skills. * Proven track record of meeting/exceeding goals and targets. * Great interpersonal, written and oral communication skills. * Experience working across remote teams. Amira's Culture * Flexibility - We encourage and support you to live and work where you desire. Amira works as a truly distributed team. We worked remotely before COVID and we'll be working remotely after the pandemic is long gone. Our office is Slack. Our coffee room is Zoom. Our team works hard but we work when we want, where we want. * Collaboration - We work together closely, using collaborative tools and periodic face to face get togethers. We believe great software is like movie-making. Lots of talented people with very different skills have to band together to build a great experience. * Lean & Agile -- We believe in ownership and continuous feedback. Yes, we employ Scrum ceremonies. But, what we're really after is using data and learning to be better and to do better for our teachers, students, and players. * Mission-Driven - What's important to us is helping kids. We're about tangible, measured impact. Benefits: * Competitive Salary * Medical, dental, and vision benefits * 401(k) with company matching * Flexible time off * Stock option ownership * Cutting-edge work * The opportunity to help children around the world reach their full potential Commitment to Diversity: Amira Learning serves a diverse group of students and educators across the United States and internationally. We believe every student should have access to a high-quality education and that it takes a diverse group of people with a wide range of experiences to develop and deliver a product that meets that goal. We are proud to be an equal opportunity employer. The posted salary range reflects the minimum and maximum base salary the company reasonably expects to pay for this role. Salary ranges are determined by role, level, and location. Individual pay is based on location, job-related skills, experience, and relevant education or training. We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, ancestry, national origin, sex, sexual orientation, gender identity or expression, age, disability, medical condition, pregnancy, genetic information, marital status, military service, or any other status protected by law.

The Company Considered the founder of the industry, Genentech, now a member of the Roche Group, has been delivering on the promise of biotechnology for more than 45 years. Genentech is a biotechnology company dedicated to pursuing groundbreaking science to discover and develop medicines for people with serious and life-threatening diseases. Our transformational discoveries include the first targeted antibody for cancer and the first medicine for primary progressive multiple sclerosis. We celebrate our unique history as the pioneers of scientific breakthroughs that have an incredible track record of improving lives. And yet, our ambitions are bigger and bolder. Together, we are united in a bold quest to solve the world's most complex health challenges and serve society. Our ability to bring transformative medicines to patients depends on the positive experience, engagement and resilience of everyone who works here. Our employees are the heart of Genentech and the driving force behind the progress that brings important new medicines to the people who need them. We believe a great people experience is critical for revolutionizing healthcare and that's why we're committed to cultivating an environment where people feel valued, included and able to thrive. The Opportunity As the Principal Supply Chain Data Scientist, you will lead advanced analytical initiatives to optimize pharmaceutical distribution processes, leveraging cutting-edge data science methodologies and technologies. Based at our main US Distribution facility in Louisville, Kentucky, this role goes beyond traditional data analysis to design predictive and prescriptive models, fostering innovation in supply chain strategy and decision-making. Reporting directly to the Head of Business Excellence, you will drive advanced analytics, process optimization, and strategic supply chain insights. This position combines technical expertise, leadership, and collaboration to impact the broader supply chain ecosystem. What You'll Do Advanced Data Analysis & Predictive Modeling: Design, implement, and validate advanced algorithms and predictive models to solve supply chain challenges in a high-pace distribution operation. Apply machine learning, statistical methods, and optimization techniques to enhance forecasting, inventory management, and logistics planning. Analyze large datasets and business systems to identify trends, patterns, and innovative opportunities using data mining tools and statistical approaches. Develop advanced AI-driven tools for improved planning accuracy, distribution efficiency, and warehouse operations. Develop and maintain reports and dashboards using Tableau. Generate and distribute reports using SQL Reporting Services. Supply Chain Distribution Optimization & Innovation: Develop and implement distribution plans to optimize product movement from manufacturing facilities to customers. Create and execute detailed schedules for deliveries, warehouse operations, and related activities. Effectively manage warehouse capacity modeling and assessments to ensure accurate and timely insights. Conduct space utilization analysis, evaluating how effectively warehouse space is being used and identifying areas for improvement Plan inbound/outbound logistics to meet daily and weekly distribution schedules. Plan efficient delivery routes and schedules for cost-effective transportation of medications. Analyze the distribution network to identify bottlenecks, optimize routes, and improve overall efficiency and cost-effectiveness. Drive the creation of digital twin models for scenario planning and strategic decision-making, ensuring efficient and sustainable supply chain practices. Evaluate and propose innovation opportunities through investment modeling and process improvements. Strategic Impact & Communication: Serve as a strategic advisor, translating business challenges into actionable, data-driven insights. Present findings, recommendations, and strategic plans to senior leadership, aligning advanced analytics with organizational goals. Act as the subject matter expert in supply chain analytics, providing guidance across initiatives and projects. Manage data governance frameworks, ensuring integrity, accuracy, and compliance with regulations. Performance Monitoring, Accurate Reporting, Improvement, and Problem Solving: Track key performance indicators (KPIs) such as on-time delivery rates, inventory turns, and order fulfillment rates to identify areas for improvement. Analyze performance data to identify issues and implement changes to enhance efficiency and customer service. Address disruptions in the distribution process promptly and develop contingency plans for potential risks. Regularly review performance metrics and adjust processes for ongoing optimization. Use advanced planning systems and AI-driven tools to improve planning accuracy and optimize warehouse operations. Create comprehensive documentation and reports to communicate insights and recommendations. Regulatory Compliance: Ensure compliance with relevant regulations and guidelines related to pharmaceutical distribution and supply chain management. Business Intelligence (BI): Create, implement, and manage data integration workflows using SQL Integration Services. Develop multidimensional cubes and tabular models in SQL Analysis Services. Ensure data integrity, accuracy, and security across all BI systems. Continuously improve BI processes and methodologies to enhance efficiency and effectiveness. Who You Are Bachelor's degree in a quantitative or technical field (e.g., Data Science, Supply Chain Management, Logistics, Operations Research, Mathematics, or Computer Science) required. Advanced degrees (Master's, PhD) in the same fields strongly preferred, with demonstrated expertise in supply chain analytics. Previous Experience: Over 10 years of experience in supply chain analytics, business intelligence, or advanced data science roles, with a minimum of 8 years in advanced supply chain analytics. Demonstrated track record of implementing analytics within a supply chain context, with pharmaceutical distribution expertise strongly preferred. Technical Knowledge / Skills / Competencies: Proficiency in Python, SQL, and cloud-based tools with experience in developing machine learning models and optimization algorithms. Hands-on experience with advanced statistical and machine learning packages (e.g., scikit-learn, TensorFlow, R). Skilled in optimization tools (e.g., Gurobi, CPLEX) and inventory management platforms. Deep understanding of supply chain management principles, including forecasting, inventory optimization, logistics planning, and procurement. In-depth experience with pharmaceutical distribution requirements, industry standards, and compliance regulations. Familiarity with warehouse operations, capacity planning, network design, and space utilization analysis. Familiarity with SQL Integration Services, SQL Analysis Services, and SQL Reporting Services. Relocation funding is not available for this role. The expected salary range for this position based on the primary location of Louisville, Kentucky is $127,100 - $236,100. Actual pay will be determined based on experience, qualifications, geographic location, and other job-related factors permitted by law. A discretionary annual bonus may be available based on individual and Company performance. This position also qualifies for the benefits detailed at the link provided below. Benefits Genentech is an equal opportunity employer. It is our policy and practice to employ, promote, and otherwise treat any and all employees and applicants on the basis of merit, qualifications, and competence. The company's policy prohibits unlawful discrimination, including but not limited to, discrimination on the basis of Protected Veteran status, individuals with disabilities status, and consistent with all federal, state, or local laws. If you have a disability and need an accommodation in relation to the online application process, please contact us by completing this form Accommodations for Applicants.

We are seeking a highly analytical and results-oriented Data Scientist with who can leverage IIoT data from manufacturing environments to drive operational improvements and develop intelligent solutions. Proficient in the end-to-end data science lifecycle, from data ingestion (MQTT) and cloud-based processing (GCP) to advanced ML modeling (Python, SQL) and the development of interactive UIs and dashboards. Passionate about translating complex industrial data into actionable insights for smart factory initiatives. You'll have... Bachelor's degree in a quantitative field or 5+ years of experience in Data Science, IT, Statistics, or a related discipline. Proficiency in tools and programming languages such as Python, R, SQL, or similar. Expertise in machine learning techniques, including predictive modeling, clustering, and regression analysis is desirable. Strong skills in handling structured and unstructured datasets for reporting and modeling. Excellent communication skills with the ability to simplify complex concepts for diverse audiences. Proven ability to work independently and exercise sound judgment on technical approaches. You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply! As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder…or all the above? No matter what you choose, we offer a work life that works for you, including: Immediate medical, dental, and prescription drug coverage Flexible family care, parental leave, new parent ramp-up programs, subsidized back-up childcare and more Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more Vehicle discount program for employees and family members, and management leases Tuition assistance Established and active employee resource groups Paid time off for individual and team community service A generous schedule of paid holidays, including the week between Christmas and New Year's Day Paid time off and the option to purchase additional vacation time. For more information on salary and benefits, click here: ********************************** This position is a range of salary grades 6, 7 and 8. Visa sponsorship is not available for this position. Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status. #LI-Onsite #LI-JL1 What you'll do… Programming & Databases: Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Dash/Streamlit, Flask/FastAPI) SQL (Advanced querying, stored procedures, query optimization) Cloud Platforms & Big Data: Google Cloud Platform (GCP): BigQuery, Google Cloud Storage (GCS), Vertex AI, Dataflow, Pub/Sub, Dataproc Data Technologies & Protocols: MQTT, Data Pipelines (ETL/ELT), Data Cleaning & Preprocessing, Data Integration, Data Mining Manufacturing & IIoT: Industrial Internet of Things (IIoT) Architectures & Principles Rockwell Automation Ecosystem: ControlLogix, PLCs, VFDs, Studio 5000 (conceptual understanding) Familiarity with software for data access/visualization tools Manufacturing Environment & Equipment Data Machine Learning & Statistical Analysis: Quality Control/Prediction, Process Optimization Time-Series Analysis, Classification, Regression, Clustering (e.g., OPTICS, DBSCAN) Statistical Modeling, Hypothesis Testing Visualization & UI/Dashboard Development: Dashboarding Tools (e.g., Tableau, Power BI, Looker, or Python libraries like Dash, Streamlit, Bokeh) UI/UX Design Principles for Data Applications Data Storytelling Software Development & Operations: Version Control (Git), Agile Methodologies, Basic API Development Responsibilities: Develop and validate machine learning and statistical models to support business strategy. Gather, manage, and analyze structured and unstructured data for reporting and analytics. Research and apply innovative analytical methodologies and techniques. Collaborate with cross-functional teams to define objectives and develop actionable insights. Interpret and present analytical results Create comprehensive reports, projections, and visual presentations. Adhere to established guidelines and contribute to strategic discussions.

Cognizant is one of the world's leading professional services companies, we help our clients modernize technology, reinvent processes and transform experiences, so they can stay ahead in our constantly evolving world. Cognizant is looking to expand our team and your skills are needed. Are you interested? If so, please apply in order to be considered. We look forward to reviewing your application! The Data Scientist creates a shared understanding of business performance to drive data-driven decisions and accountability across business channels. **Main Responsibilities:** Enables Proactive Insights: Surfaces forward-looking analytics using advanced data modeling and engineering techniques. - Establishes COE Strategy: Develops MSS Data Science COE strategies, best practices, and scalable frameworks. - Optimizes Tools & Processes: Streamlines DS workflows, prioritizes initiatives, and enables cross-LOB alignment and scaling. - Leverages Technical Expertise: Utilizes PySpark/SQL, Fabric Engineering, and Lakehouse architecture for data model development. - Strengthens the Data Ecosystem: Troubleshoots to ensure performance, reliability, and accessibility. - PySpark/SQL - Fabric Engineer & Lakehouse Design - Data model development - Data ecosystem troubleshooting & Solutioning **Hourly Rate and Other Compensation:** The annual salary for this position is between $100,000-114,400 depending on experience and other qualifications of the successful candidate. This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans. **Benefits:** Cognizant offers the following benefits for this position, subject to applicable eligibility requirements: + Medical/Dental/Vision/Life Insurance + Paid holidays plus Paid Time Off + 401(k) plan and contributions + Long-term/Short-term Disability + Paid Parental Leave + Employee Stock Purchase Plan **Disclaimer:** The hourly rate, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law. **LA County (only):** Qualified applicants with arrest and/or conviction records will be considered for employment. Cognizant will only consider applicants for this position who are legally authorized to work in the United States without requiring company sponsorship now or at any time in the future. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

**Req ID:** RQ210954 **Type of Requisition:** Regular **Clearance Level Must Be Able to Obtain:** Top Secret/SCI **Public Trust/Other Required:** None **Job Family:** Data Science and Data Engineering **Skills:** Data Analysis,Data Analytics,Data Science,Data Visualization,Statistics **Experience:** 0 + years of related experience **US Citizenship Required:** Yes **Job Description:** Seize your opportunity to make a personal impact as Data Scientist I supporting mission critical work on an exciting program. GDIT is your place to make meaningful contributions to challenging projects, build your skills, and grow a rewarding career. At GDIT, people are our differentiator. As a Human Performance Data Scientist I supporting our customer, you will help ensure today is safe and tomorrow is smarter. Our work depends on a Human Performance Data Scientist I joining our team. The Human Performance (HP) Data Scientist I supports the program by conducting basic data entry, data cleaning, and performance analysis that directly contributes to the readiness and resilience of Special Operations Forces (SOF) personnel. The position is designed to maximize the accuracy, integrity, and applied use of HP data across domains, with priority on SOF Operators and Direct Combat Support personnel. **HOW A HUMAN PERFORMANCE DATA SCIENTIST I WILL MAKE AN IMPACT:** + The Human Performance Data Scientist I is responsible for entering, cleaning, and preparing HP data collected through program initiatives. + Working with program staff and the Government biostatistician, the Human Performance Data Scientist I assist in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. + Assists in building and maintaining databases and spreadsheets that capture performance metrics, wellness indicators, and program participation information. + Collaborates with strength coaches, dietitians, athletic trainers, physical therapists, psychologists, and cognitive enhancement specialists to identify opportunities for meaningful human performance data collection. + Supports preparation of basic reports and presentations that communicate trends, participation metrics, and readiness insights for program leadership. + The contractor receives access to Government systems and uses these systems to manage and analyze human performance data. **WHAT YOU'LL NEED TO SUCCEED:** **EDUCATION:** Bachelor's degree in quantitative science, social science or related discipline. + Proficient with the suite of Microsoft Office programs, including Word, Excel and Access. + Basic proficiency with commonly used statistical software applications such as SPSS, SAS, or R. + Proficiency may be demonstrated through prior work history in sport science, military human performance, healthcare, research, or through a history of publications. + Possess excellent communication skills and shall be highly detail oriented and organized **LOCATION:** Various CONUS SITES **CLEARANCE:** Ability to obtain and maintain Secret or Top-Secret Clearance. **This is a contingent posting, expected to start in 2026.** **GDIT IS YOUR PLACE:** + 401K with company match + Comprehensive health and wellness packages + Internal mobility team dedicated to helping you own your career + Professional growth opportunities including paid education and certifications + Cutting-edge technology you can learn from + Rest and recharge with paid vacation and holidays The likely salary range for this position is $71,445 - $96,661. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range. Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee's date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most. We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology. Join our Talent Community to stay up to date on our career opportunities and events at ******************** Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Modeling - Manager** **The opportunit** **y** We are looking for a dynamic and experienced Manager of Data Modeling to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills **Your Key Responsibilities** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. + Understand and analyze business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. + Lead the design and development of conceptual, logical, and physical data models for the Enterprise Data Warehouse (EDW), adhering to Kimball dimensional methodology (dimensional modeling approach, a core skill for this role. + Design and implement **star schemas** (Fact and Dimension tables) to support enterprise analytical, Business Intelligence (BI), and reporting requirements with high performance and query efficiency. + Define and model **Slowly Changing Dimensions (SCD)** , with an emphasis on **SCD Type 2** , to accurately capture and preserve the full historical context of dimension attributes (e.g., customer addresses, product categories) over time. + Collaboratively determine the appropriate **grain** (atomic level of detail) for fact tables and identify measurable **facts** (metrics) and their relationships to the surrounding dimension tables. + Design highly denormalized dimension structures to reduce joins and simplify querying for end-users and analytical tools. + Collaborate with stakeholders and cross-functional teams to understand data requirements and design appropriate data models that align with business needs. + Create and maintain data dictionaries and metadata repositories to ensure consistency and integrity of data models. + Identify and resolve data model performance issues to optimize database performance and enhance overall system functionality. + Manage and provide guidance to a small team of 1-3 resources + Document and communicate data model designs and standards to ensure understanding and compliance across the organization. + Create detailed **source-to-target mapping (STM) documentation** and data transformation specifications for ETL/ELT developers, including all SCD Type 2 logic and surrogate key generation rules. + Stay current with industry best practices and trends in data modelling and incorporate new techniques and methodologies into our data modelling processes. + Guide team on implementing data modelling techniques such as Kimball's dimensional modeling + Developing conceptual, logical, and physical data models to support data analysis and business intelligence. + Utilize industry-standard data modeling tools (e.g., Erwin, PowerDesigner, ER/Studio) to create and maintain conceptual, logical, and physical models, and to manage version control. + Having cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. **To qualify for the role, you must have** + A Bachelor's degree in STEM + 10+ Years of hands-on Experience in data modelling + Strong understanding of SQL and data modelling concepts such as Kimball dimensional modeling + Experience working with major enterprise relational database platforms or cloud data warehouses (e.g., Oracle, SQL Server). + Strong understanding of **data warehousing** principles, ETL/ELT architecture, data quality management, and metadata management. + **Mastery of SCD Type 2** (SCD2) implementation for preserving historical data (e.g., using **surrogate keys** , start/end dates, and current/active flags). Familiarity with other SCD types (Type 1, 3, 4, 6) is also expected + The ability to analyze complex business processes and translate abstract business requirements into precise, efficient technical data models. + Proficiency in data modelling tools such as Erwin / Visio or Power Designer + Experience in designing and implementing database structures + Ability to create and maintain conceptual, logical, and physical data models + Knowledge of industry best practices for data modelling and database design + Ability to collaborate with cross-functional teams to gather and analyze data requirements + Experience in performance tuning and optimization of database queries + Having cloud certification is an added advantage + Strong analytical and problem-solving skills + Excellent communication and documentation skills. + Knowledge in Hospitality Domain is mandatory. **Ideally, you'll also have** + Strong business acumen with the ability to manage complex client relationships + Proven experience in managing and leading teams within a dynamic environment + Excellent communication and interpersonal skills + Cloud knowledge and certification will be an advantage. Preferably Azure DP-203 certification. + Experience in leading and influencing teams, with a focus on mentorship and professional development. + A passion for innovation and the strategic application of emerging technologies to solve real-world challenges. + The ability to foster an inclusive environment that values diverse perspectives and empowers team members. + Spanish speaking + Italian speaking **What we look for** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

Job Description Role Title: Industrial UNS Data Modeller City: Georgetown State: KY Mandatory Skills: Functional experience in manufacturing operations Experience with data modelling in industrial settings Familiarity with manufacturing data integration across MES, SCADA, ERP Role Description Skills: Job Title: Manufacturing Unified Namespace (UNS) Data Modeler Position Summary We are looking for an experienced Unified Namespace (UNS) Data Modeler to design, structure, and maintain data models that support real-time, contextualized data flow within our enterprise-wide UNS architecture. In this role, you will define how industrial data is represented, named, and organized to enable seamless integration across OT and IT systems and support analytics, automation, and decision-making. You will work at the intersection of operations, data engineering, and industrial automation to ensure that data from machines, processes, and systems is structured semantically and consistently across the enterprise. Key Responsibilities Data Modeling & Taxonomy Development Develop and maintain logical and physical data models for the UNS, including hierarchical topic structures, metadata schemas, and contextual relationships. Apply ISA-95 and ISA-88 standards to define consistent information models across equipment, processes, and enterprise functions. Model real-time data using Sparkplug B or similar protocols for semantic interoperability. Namespace Governance Define and enforce naming conventions, tag standards, and data object hierarchies within the UNS. Collaborate with teams to manage changes to data models and ensure alignment with organizational data governance policies. Cross-Functional Collaboration Work with automation engineers, IT, data scientists, and business analysts to translate operational needs into semantic models. Act as the subject matter expert for contextual data structuring in MQTT-based architectures. Quality & Optimization Ensure data integrity, consistency, and completeness across all layers of the namespace. Recommend improvements to namespace performance, usability, and scalability. Documentation & Communication Maintain comprehensive documentation of models, metadata, and semantic structures. Provide training and support to teams consuming data from the UNS. Required Qualifications Bachelors degree in Data Science, Engineering, Computer Science, or related field. 3+ years of experience in data modeling, preferably in an industrial, manufacturing, or IIoT environment. Functional experience with manufacturing operations: Production, Internal Logistics, Quality Assurance, Maintenance Strong understanding of industrial data standards (ISA-95, ISA-88), MQTT, Sparkplug B, and OPC UA. Familiarity with data integration across SCADA, MES, ERP, and cloud systems. Proficient in using data modeling tools (e.g., ER/Studio, Lucidchart, or enterprise architecture platforms). Strong analytical, communication, and documentation skills. Preferred Qualifications Experience designing or working with Unified Namespace architectures. Knowledge of asset modeling frameworks like AAS, Digital Twin, or OPC UA Companion Specs. Experience with time-series databases, event streaming platforms, or data lakes. Exposure to manufacturing environments or industry 4.0 projects.