Senior data scientist jobs in Lafayette, IN - 711 jobs

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S. and has supported over 20,000 healthcare professionals and team members with close to 1,500 health and wellness offices across 48 states in four distinct categories: dental care, urgent care, medical aesthetics, and animal health. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Chapter Aesthetic Studio, and Lovet Pet Health Care. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as Data Scientist. Join us as a Data Scientist and play a key role in shaping how patients access care across a growing network of brands including Aspen Dental, ClearChoice, WellNow, Chapter Aesthetic Studio, and Lovet. In this role, you won't just analyze data - you'll lead end-to-end initiatives that shape how we optimize revenue across offices, days, and even hours. From designing strategies, deploying solutions and building performance dashboards to partnering with data science on automation and collaborating with teams across Finance, Marketing, Product, Technology and Operations, you'll have a direct hand in driving measurable results. This role is ideal for someone who excels at turning data into decisions, building repeatable processes, and uncovering insights that drive measurable improvements in revenue performance and patient access. You will lead initiatives across forecasting, scheduling optimization, demand modeling, capacity planning, and revenue strategy, while also shaping how analytics is delivered and scaled across the organization. If you're a builder who loves solving complex problems with data, operational logic, and automation, this opportunity is for you. Essential Responsibilities: Revenue Strategy & Optimization Lead strategy development for optimizing revenue performance at the office, day, and hour level by leveraging forecasting, scheduling, and demand modeling - while balancing access for patients and operational efficiency. Build analytical frameworks to support pricing, demand forecasting, scheduling, and access optimization. Identify revenue opportunities through data-driven analysis of booking trends, cancellations, no-shows, and utilization. Monitor and update demand and schedule availability through the analysis of historical and future booking trends, the pricing environment, industry capacity trends, competitive landscape, and other factors. Analytics, Insights & Experimentation Develop and maintain forecasting, demand models, dashboards, and scenario analyses. Run experiments and structured tests to evaluate new operational and scheduling strategies. Create clear, actionable insights that influence senior leaders and cross-functional partners. Process Building & Automation Map existing manual workflows and identify opportunities to automate recurring analyses or reporting. Cross-Functional Leadership Work closely with Operations, Finance, Product, Marketing, and Clinical teams to align strategies and execution. Help shape and scale the function by building new playbooks, reports, and best practices. Act as a subject matter expert in forecasting, demand modeling, and capacity optimization. Qualifications (Skills-Based): We welcome candidates with diverse academic and career pathways. You may have gained your skills through industry experience, coursework, certificates, or hands-on practice. Experience/Education: 5+ years of experience in Revenue Management, Pricing, Operations Research, Supply/Demand Optimization (Airline, Travel, Healthcare, or multi-location service industries preferred). Bachelor's degree in Business, Finance, Economics, Analytics, or Statistics required; Master's degree a plus. Experience working alongside data science/engineering teams to automate and scale analytics processes. Exceptional analytical, problem-solving, and communication skills - with the ability to influence senior stakeholders. Detail-oriented, self-starter mindset with a passion for driving results. Strong analytical and quantitative skills, with experience in forecasting, modeling, or optimization. Strong technical proficiency in SQL and a modern BI platform (e.g., Tableau, Looker). Familiarity with scripting (e.g., Python or R) or automation tools (e.g., DBT, Airflow) - not required, but helpful. Additional Job Description: Base Pay Range: $120,000 - $140,000, plus 10% annual bonus (Actual pay may vary based on experience, performance, and qualifications.) A generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match. If you are an applicant residing in California, please view our privacy policy here: *********************************************************************************

Be a part of our success story Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch! The Role Launch is actively seeking a visionary Technology Leader, Data Platform Engineering to architect and deliver enterprise data platforms while driving transformational outcomes for clients. This role combines deep technical expertise in modern data platforms with strategic consulting capabilities. You will lead implementations using Azure Fabric, Snowflake, and Databricks, leveraging AI-native development tools to accelerate delivery and maintain engineering rigor. Responsibilities Include Lead enterprise data platform transformations, architecting scalable solutions on Azure Fabric, Snowflake, and Databricks. Design modern data architectures supporting real-time analytics, ML workloads, and AI agent integration. Drive technical pre-sales including solution architecture, proposal development, and executive presentations. Implement AI-native development workflows using Claude Code, GitHub Copilot, and MCP servers. Establish engineering practices leveraging AI tools for pipeline development, testing automation, and intelligent data quality monitoring. Architect solutions using Azure Fabric, Snowflake, and Databricks with governance and compliance frameworks. Recruit and develop high-performing data engineers and architects. Mentor teams on effective use of AI development tools while reinforcing engineering fundamentals. Contribute to business development through active participation in sales cycles and strategic partnership development. Qualifications Must-Have 12+ years in enterprise data platform engineering, with 5+ years in consulting or client-facing delivery roles. Proven track record leading platform transformations with project budgets exceeding $10M. Strong executive presence and ability to influence C-suite stakeholders. Expert-level proficiency in Azure Fabric, Snowflake, and Databricks. Hands-on experience with AI-native development tools (Claude Code, MCP servers, GitHub Copilot). Proficiency in modern data stack: dbt Labs, Airflow, Kafka, vector databases, and real-time streaming. Strong programming skills in Python, SQL, and infrastructure-as-code (Terraform, Bicep). Nice-to-Have Certifications: Azure Solutions Architect Expert (AZ-305), SnowPro Advanced, Databricks Data Engineer Professional. Industry-specific certifications in financial services, healthcare, retail, or manufacturing. Compensation & Benefits As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits-medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $220,000 - $245,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any 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). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Data Engineer McLean, VA: $197,300 - $225,100 for Lead Data Engineer Richmond, VA: $179,400 - $204,700 for Lead Data Engineer Riverwoods, IL: $179,400 - $204,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

The Aspen Group (TAG) is one of the largest and most trusted retail healthcare business support organizations in the U.S., supporting 15,000 healthcare professionals and team members at more than 1,000 health and wellness offices across 47 states in three distinct categories: Dental care, urgent care, and medical aesthetics. Working in partnership with independent practice owners and clinicians, the team is united by a single purpose: to prove that healthcare can be better and smarter for everyone. TAG provides a comprehensive suite of centralized business support services that power the impact of five consumer-facing businesses: Aspen Dental, ClearChoice Dental Implant Centers, WellNow Urgent Care, Lovet Animal Hospitals and Chapter Aesthetic Studios. Each brand has access to a deep community of experts, tools and resources to grow their practices, and an unwavering commitment to delivering high-quality consumer healthcare experiences at scale. As a reflection of our current needs and planned growth we are very pleased to offer a new opportunity to join our dedicated team as a Senior Analyst, Data & Insights supporting our WellNow Urgent Care brand. This role is responsible for leveraging data and transforming it into insights and reporting that can be utilized across all levels of the organization. This role will be engaged in driving the business both through support of our business partners in both the offices and field teams along with informing strategy for our Executive Leadership Team. Responsibilities As a Senior Analyst, Data & Insights you will be responsible for: Supporting the WellNow brand through the development of a common approach and infrastructure to data sources built to support enterprise-wide reporting Capture and translate business requirements for reporting from executive leadership Developing key data sources in BigQuery through use of SQL, Power BI, or other reporting languages & tools Synthesizing insights from various data sources and presenting data in an easy-to-read manner Become organizational expert on data sources and how to extract data from all systems. Ability to combine multiple data sources; strong attention to detail and data integrity. Work across departments to understand how their work impacts the performance of the business deriving metrics to measure results Identify key opportunities to drive transparency and turn data into insights and action. Leading organization in implementing a standardized, consistent approach to reporting, with a strong focus on user experience to drive usage. Utilizing data to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making. Ad-hoc analytical projects as needed. Minimum Education and Experience BA or BS in Data Analytics, Finance, Business or other degree with equivalent work experience in analysis or insights-based roles. 3+ years of experience in data analytics or similar analysis-driven roles required. Required experience partnering with both key business stakeholders and IT departments. Experience writing in SQL or BigQuery is required. Experience using data visualization software like Tableau or PowerBI is required. Ability to find and query appropriate data from databases, along with validating and reviewing data and reports for accuracy and completion Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Advanced skills with Microsoft Excel and PowerPoint are required. Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $95,000-110,000k with a generous benefits package that includes paid time off, health, dental, vision, and 401(k) savings plan with match If you are an applicant residing in California, please view our privacy policy here: ********************************************************************************* View CA Privacy Policy

**Employee Type:** Full time **Job Type:** Information Technology Data Management **Job Posting Title:** Supply Chain Data Scientist **About Us** **:** TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values- **Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together.** We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. **What You G** **ain** **:** + Competitive compensation and benefits program with no waiting period - you're eligible from your first day! + 401(k) program with 5% employer match and 100% vesting as soon as you enroll. + Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). + Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. + An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. + Access to our wellness and employee assistance programs. **Job Description:** **_About the Role:_** Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. **_You'll add value to this role by performing various functions including, but not limited to:_** + Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. + Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. + Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. + Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. + Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. + Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. + Other duties as assigned. **_Important Details_** **_:_** + This is a hybrid role on first shift in Oak Brook, IL. + The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. **_You'll fit right in if you have:_** + Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. + 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. + Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. + Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). + Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. + A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. **Your TreeHouse Foods Career is Just a Click Away!** Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! _At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time"._ _TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact_ _disability-accommodations@treehousefoods.com_ TreeHouse Use Only: #IND1 TreeHouse Foods is a private label food and beverage leader focused on customer brands and custom products. When customers partner with TreeHouse they can expect access to an industry-leading portfolio, strategic vision, on-trend innovation and insights, world-class supply chain, operational excellence and flexibility, collaborative approaches, and dedicated customer service. Our strategy is to be the leading supplier of private label food and beverage products by providing the best balance of quality and cost to our customers. We engage with retail grocery, food away from home, and industrial and export customers, including most of the leading grocery retailers and foodservice operators in the United States and Canada. Our portfolio includes a variety of shelf-stable, refrigerated, and snack products. Customers can expect comprehensive flavor profiles including natural, organic, and preservative-free ingredients in many categories and packaging formats. TreeHouse Foods is best known for food and beverages produced by our two largest businesses Bay Valley Foods, LLC (including E.D. Smith and Sturm Foods) and TreeHouse Private Brands. With more than 10,000 employees in over 26 plants across the United States and Canada, TreeHouse Foods is based in Oak Brook, Illinois. **Recruitment Fraud Alert** We want to ensure your career journey with TreeHouse Foods is safe and secure. Scammers may attempt to impersonate our company by sending fake job offers, interview, and sensitive document requests. If you receive an email claiming to be from us, always verify the sender's email address-it should match our official company domain (@treehousefoods.com) exactly. We will _never_ ask for payment, financial, or personal information and documents as part of our interview process. If you suspect fraudulent activity, please contact us directly by visiting the Contact page on our website (****************************************************** . Stay vigilant to protect yourself from recruitment scams. **Disability Assistance and EEO Considerations:** At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time." TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com **To all recruitment agencies:** TreeHouse Foods does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Treehouse Foods employees, or any company location(s). TreeHouse Foods is not responsible for any fees related to unsolicited resumes/CVs.

Dandy is transforming the massive and antiquated dental industry-an industry worth over $200B. Backed by some of the world's leading venture capital firms, we're on an ambitious mission to simplify and modernize every function of the dental practice through technology. As we expand our reach globally, Dandy is building the operating system for dental offices around the world-empowering clinicians and their teams with technology, innovation, and world-class support to achieve more for their practices, their people, and their patients. Revolutionizing the dental industry is hard…and we need help. We're on the hunt for experienced senior data scientists who can tackle some of our most significant challenges within our manufacturing operations and supply chain. Our Operations team plays a pivotal role in Dandy's dental operations, overseeing critical areas like production management, workforce analytics and supply chain optimization. In this dynamic, cross-functional role, you'll have the freedom to independently harness data to drive recommendations that propel Dandy to become the top dental lab in the industry. Your responsibilities/opportunities Build production management and prescriptive analytics systems to help the manufacturing team execute and scale Develop and share insights that drive impact within the Manufacturing, Supply Chain, and Operations teams Define the data language (i.e. KPIs, dashboards, measurement, etc) to ensure your team grasps the underlying truth that drives progress and success Facilitate rapid decision making through ad hoc work or by democratizing data/self service (effective BI or user-friendly explores in Looker in partnership with our data engineers) Utilize your data super powers to reduce ambiguity and solve problems Mentor other analysts and help them grow About you: 6+ years of experience working in data analytics or data science, ideally in a B2B operations setting BA/BS in a quantitative field such as statistics, computer science, operations research or a BA/BS in behavioral science (economics, psychology, etc) with statistics skills Excellent SQL skills Strong scripting Python skills Previous experience using data to drive impact in manufacturing or operations environments Familiarity with operations research and supply chain management concepts Strong communication skills and experience communicating results in a way that drives change. You have the ability to use data to inform, align, and lead Strong senses of autonomy and ownership Strong critical thinking, problem solving, and statistical skills Bonus points: Have experience turning vague operational problems and turning them into statistically rigorous analyses & solutions (i.e causal inference, predictive modeling) Interest in working and learning in an earlier stage company where we're still working out some of the basics Bias for action and desire to work in a fast-paced, collaborative environment Strong customer empathy, particularly for dentists Experience with Hex/Jupyter, DBT or Data Orchestration (we use Dagster) Req ID: J-706 For full-time positions, Dandy offers a wide range of best-in-class, comprehensive, and inclusive benefits tailored to each country where we operate. Our local benefits packages typically include healthcare, dental, mental health support, parental planning resources, retirement savings options, and generous paid time off-ensuring our team members are supported no matter where they live and work. Dandy is proud to be an equal-opportunity employer. We are committed to building a diverse and inclusive culture that celebrates authenticity to win as one. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, citizenship or immigration status, or any other legally protected characteristics. Dandy also fully complies with the Americans with Disabilities Act (ADA). We are dedicated to embracing challenges and creating an accessible, inclusive workplace for all individuals. If you require any accommodations for your interview or have any questions beforehand, rest assured that we will do everything we can to meet your needs. Visit Dandy Careers for more!

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

We are seeking a driven Data Scientist to join our Analytics team. In this role, you will work on high-impact projects that leverage machine learning, AI, and data engineering techniques focused on the Service Solutions and Commercial organization. This is an excellent opportunity for early-career professionals and will work closely with experienced data scientists and engineers who will mentor and guide your development. A passion for learning, a collaborative mindset, and a bias toward innovation are key to success in this role. Responsibilities * Support the development of predictive and prescriptive models using machine learning and statistical techniques to address key business problems in electrification and supply chain. * Assist in building data pipelines and workflows to ingest, clean, and prepare large datasets from various internal and external sources. * Collaborate on the development and deployment of analytics solutions using cloud platforms such as Databricks and Azure ML. * Develop clear and compelling data visualizations and dashboards to communicate insights to both technical and non-technical stakeholders. * Work within an agile team environment, contributing to code repositories, sprint planning, and solution documentation. * Stay up to date with emerging trends in data science, generative AI, and commercial mobility innovation. * Participate in innovation initiatives, brainstorming new ways to apply AI and analytics to improve operations and customer experience. Minimum Requirements * Currently pursuing a Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field and no experience and will obtain degree prior to first day of employment OR * Bachelor's degree in Computer Science, Statistics, Data Science/Analytics, Management Information Systems, Mathematics, Natural Science, Economics, Engineering or similar quantitative field Additional Requirements * Qualified candidates, excluding current employees, must be legally authorized on an unrestricted basis (US Citizen, Legal Permanent Resident, Refugee or Asylee) to be employed in the United States. We do not anticipate providing employment related work sponsorship for this position (e.g., H-1B status) Desired Skills * Familiarity with SQL and working with structured data. * Exposure to cloud-based tools (e.g., Azure, AWS, GCP), particularly for data science or engineering tasks. * Understanding of key machine learning concepts such as classification, regression, clustering, or time series forecasting. * Strong interest in applying AI and analytics to solve real-world business problems. * Comfortable using data visualization tools such as Power BI, matplotlib, seaborn, or Streamlit. * Exposure to agile ways of working, including version control (Git) and working in cross-functional teams, is a plus. * A growth mindset and willingness to learn from feedback and challenges. Benefits and Compensation We provide a competitive total rewards package which ensures job satisfaction both on and off the job. We offer market-based compensation, health benefits, 401(k) match, tuition assistance, EAP, legal insurance, an employee discount program, and more. For this position, the expected salary range will be commensurate with the candidate's applicable skills, knowledge and experience. You can learn more about our comprehensive benefits package at ******************************************** Company Overview ABOUT TRATON With its brands Scania, MAN, International, and Volkswagen Truck & Bus, TRATON SE is the parent and holding company of the TRATON GROUP and one of the world's leading commercial vehicle manufacturers. The Group's product portfolio comprises trucks, buses, and light-duty commercial vehicles. "Transforming Transportation Together. For a sustainable world.": this intention underlines the Company's ambition to have a lasting and sustainable impact on the commercial vehicle business and on the Group's commercial growth. ABOUT INTERNATIONAL From a one-man company built on the world-changing invention of the McCormick reaper in 1831, to the 15,000-person-strong company we are today, few companies can lay claim to a history like International. Based in Lisle, Illinois, International Motors, LLC* creates solutions that deliver greater uptime and productivity to our customers throughout the full operation of our commercial vehicles. We build International trucks and engines and IC Bus school and commercial buses that are as tough and as smart as the people who drive them. We also develop Fleetrite aftermarket parts. In everything we do, our vision is to accelerate the impact of sustainable mobility to create the cleaner, safer world we all deserve. As of 2021, we joined Scania, MAN and Volkswagen Truck & Bus in TRATON GROUP, a global champion of the truck and transport services industry. To learn more, visit ********************** * International Motors, LLC is d/b/a International Motors USA in Illinois, Missouri, New Jersey, Ohio, Texas, and Utah. EEO Statement We are an Equal Opportunity Employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. If you are a qualified individual with a disability and require a reasonable accommodation to access the online application system or participate in the interview process due to your disability, please email ********************* to request assistance. Kindly specify Job Requisition Number / Job Title and Location in response. Otherwise, your request may not be considered.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: * Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD * Design of observational studies (primary and/or secondary data) * Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies * Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications * Ensure efficient planning, execution and reporting of analyses * Advise as subject matter expert in specific data access partnerships * Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed * Contributes to vendor selection with partner functions * Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas * Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance * Mentor and guide junior members of the RWD Analytics team

Apply now Work Type: Office Working Employment Type: Permanent Job Description: This role is a role within the Deposit pricing analytics team in SCMAC. The primary focus of the role is: * To develop AI solutions that are fit for purpose by leveraging advanced data & analytical tools and technology with in WRB. The individual will be responsible for end-to-end analytics solution development, deployment, performance assessment and to produce high-quality data science conclusions, backed up by results for WRB business. * Takes end-to-end responsibility for translating business question into data science requirements and actions. Ensures model governance, including documentation, validation, maintenance, etc. * Responsible for performing the AI solution development and delivery for enabling high impact marketing use cases across products, segments in WRB markets. * Responsible for alignment with country product, segment and Group product and segment teams on key business use cases to address with AI solutions, in accordance with the model governance framework. * Responsible for development of pricing and optimization solutions for markets * Responsible for conceptualizing and building high impact use cases for deposits portfolio * Responsible for implementation and tracking of use case in markets and leading discussions with governance team on model approvals Key Responsibilities Business * Analyse and agree on the solution Design for Analytics projects * On the agreed methodology develop and deliver analytical solutions and models * Partner creating implementation plan with Project owner including models benefit * Support on the deployment of the initiatives including scoring or implementation though any system * Consolidate or Track Model performance for periodic model performance assessment * Create the technical and review documents for approval * Client Lifecycle Management ( Acquire, Activation, Cross Sell/Up Sell, Retention & Win-back) * Enable scientific "test and learn" for direct to client campaigns * Pricing analytics and optimization * Digital analytics including social media data analytics for any new methodologies * Channel optimization * Client wallet utilization prediction both off-us and on-us * Client and product profitability prediction Processes * Continuously improve the operational efficiency and effectiveness of processes * Ensure effective management of operational risks within the function and compliance with applicable internal policies, and external laws and regulations Key stakeholders * Group/Region Analytics teams * Group / Region/Country Product & Segment Teams * Group / Region / Country Channels/distribution * Group / Region / Country Risk Analytics Teams * Group / Regional / Country Business Teams * Support functions including Finance, Technology, Analytics Operation Skills and Experience * Data Science * Anti Money Laundering Policies & procedures * Modelling: Data, Process, Events, Objects * Banking Product * 2-4 years of experience (Overrall) About Standard Chartered We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us. Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion. Together we: * Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do * Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well * Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term What we offer In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing. * Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations. * Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum. * Flexible working options based around home and office locations, with flexible working patterns. * Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills, global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits * A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning. * Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential. Apply now Information at a Glance * * * * *

Who We Are and What We Do At Corteva Agriscience, you will help us grow what's next. No matter your role, you will be part of a team that is building the future of agriculture - leading breakthroughs in the innovation and application of science and technology that will better the lives of people all over the world and fuel the progress of humankind. Corteva Agriscience has an exciting opportunity for a Metabolic Modeling Data Scientist to develop and deploy predictive genome-scale metabolic models that accelerate microbial strain optimization and bioprocess development. This role will apply their expertise to innovate nature-inspired solutions to global challenges in agriculture. They will join a strong molecular data science team and work closely with cross-functional teams from early discovery to downstream process engineering to generate actionable hypotheses, quantify flux bottlenecks, and translate multiomics and process data into decisions for Crop Health R&D. What You'll Do: Develop and maintain genome‑scale metabolic models for model and non‑model organisms; implement flux balance analysis (FBA/dFBA) and related approaches. Integrate multi‑omics datasets (genomics, transcriptomics, proteomics, metabolomics) into metabolic models to generate testable hypotheses. Apply AI/ML tools (e.g., ML‑assisted flux prediction, pathway inference etc.), perform metabolic flux analysis and estimate theoretical yields to inform media, feeding strategies, and optimization of titer/rate/yield. Reconstruct and validate metabolic pathways, including completing missing steps and proposing/assessing novel routes to increased metabolite productivity. Collaborate closely with strain engineering, biochemistry, and process engineering to ensure models are experimentally grounded and actionable. Communicate results via clear summaries and decision‑ready recommendations for program reviews and R&D planning. What Skills You Need: PhD in Systems Biology, Computational Biology, Bioinformatics, Chemical/Biochemical Engineering, Microbiology, or related fields. Demonstrated experience building genome scale metabolic models, performing flux analysis, and integrating multi‑omics (such as genomics, transcriptomics, metabolomics) with experimental data for model refinement. Strong programming skills in Python (and R) for model development and data integration Preferred Skills: Experience with industrially relevant non‑model microbes and fermentation datasets. Strong familiarity and proficiency working with latest models and techniques in this space, including tools such as COBRA Toolbox, CobraPy, KBase, or similar frameworks. Experience applying ML/AI to predictive metabolic modeling, pathway prediction, and/or flux estimation. Familiarity with version control (Git), workflow/pipeline tools, and reproducible model development practices. Ability to develop, improve and apply metabolic modeling techniques on non‑model organisms; Experience collaborating in cross‑disciplinary teams and ability to translate metabolic modeling insights into well-designed strain engineering experiments for validation in partnership with wet‑lab teams. #LI-BB1 Benefits - How We'll Support You: Numerous development opportunities offered to build your skills Be part of a company with a higher purpose and contribute to making the world a better place Health benefits for you and your family on your first day of employment Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays Excellent parental leave which includes a minimum of 16 weeks for mother and father Future planning with our competitive retirement savings plan and tuition reimbursement program Learn more about our total rewards package here - Corteva Benefits Check out life at Corteva! ************************************* Are you a good match? Apply today! We seek applicants from all backgrounds to ensure we get the best, most creative talent on our team. Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly

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

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. This position is on the Connectivity Enabled Solutions Team in Connectivity Department within the CAT Technology organization. This team has accountability for: * Building common datasets to support Connectivity initiatives such as Connectivity Aftermarket Programs - TCRA, ARO and NRA. * Streamline reporting of data through various sources, enhancing business logic to improve data reporting, and delivering visualize data in a consistent way for internal and external business users. * Building solutions to monitor and improve telematics data quality. What You Will Do: * Contributes to design, development, code review, and deployment. * Understanding the business requirements for new features and working with business and business analysts for gathering & refining business requirements and to recommend any changes which could do business impact. * Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work. * Preparing the technical design documents based on the business requirements. * Design & build new features leveraging out of the box components as well as extending/customizing where necessary to meet business needs. * Works directly on complex application/technical problem identification and resolution. * Development & unit/integration testing of new features for the scrum team. * Performing Code Reviews, Performance Assessments, Architecture discussions. * For newly released features, work with the support team for addressing critical production issues in a timely fashion. * Contributes to complex systems or infrastructure components that may be used by one or more systems. * Supports application development focused around delivering valuable business features. * Identifies and encourages areas for growth and improvement within the team. What You Will Have: Decision Making and Critical Thinking: * Applies an assigned technique for critical thinking in a decision-making process. * Identifies, obtains, and organizes relevant data and ideas. * Participates in documenting data, ideas, players, stakeholders, and processes. * Recognizes, clarifies, and prioritizes concerns. * Assists in assessing risks, benefits and consideration of alternatives. Effective Communications: * Delivers helpful feedback that focuses on behaviors without offending the recipient. * Listens to feedback without defensiveness and uses it for own communication effectiveness. * Makes oral presentations and writes reports needed for own work. * Avoids technical jargon when inappropriate. * Looks for and considers non-verbal cues from individuals and groups. Software Development: * Conducts walkthroughs and monitors effectiveness and quality of the development activities. * Elaborates on multiple-development toolkits for traditional and web-based software. * Has participated in development of multiple or large software products. * Contrasts advantages and drawbacks of different development languages and tools. Software Development Life Cycle: * Describes similarities and differences of life cycle for new product development vs. new release. * Identifies common issues, problems, and considerations for each phase of the life cycle. * Works with a formal life cycle methodology. * Explains phases, activities, dependencies, deliverables, and key decision points. * Interprets product development plans and functional documentation. Software Integration Engineering: * Has experience with designing data exchange interfaces to and from software product. * Describes tools and techniques for extraction, transformation and loading of electronic data. * Cites examples of common linkage requirements for software products. * Works with integrating software into the customer or partner framework and infrastructure. * Participates in the development of technology interfaces and bridges. Software Product Technical Knowledge: * Maintains and utilizes data related to install base configurations and environments. * Solicits customer feedback; reports and monitors bugs and implementation issues. * Participates in defining and conducting technical acceptance tests. * Participates in creating technical requirements for software development and deployment. * Explains basic environment and product configuration options. Software Product Testing: * Participates in test readiness reviews, functional, volume, and load testing. * Tests software components for compliance with functional requirements and design specifications. * Explains procedures for documenting test activities and results (e.g. errors, non-conformance, etc.) Considerations For Top Candidates: * A four-year degree from an accredited college or university is required. A master's degree in computer science or a related field is preferred. * Extensive experience in designing and developing software applications in Java or Python * Proven experience in SQL, relational databases such as MySQL, PostgreSQL, Snowflake, NoSQL database, etc. * Proven experience in database design, development, and administration. Familiarity with database replication, clustering, and high availability solutions. * Hands-on experience in data modeling, ETL processes, Data pipeline development and data warehousing * Experience with cloud-based database services, particularly within AWS, Azure, or Google Cloud environments. * Experience with unit and system level testing * Proven experience designing, building, and integrating Rest API, SOAP API * Familiarity with design patterns is essential. * Demonstrates experience with the architecture and design of major or multiple products. * Participate in design reviews and walkthroughs. Summary Pay Range: $97,530.00 - $158,480.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Posting Dates: January 15, 2026 - January 21, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

The Network for Computational Nanotechnology (NCN) is charged with providing computational, modeling, and data infrastructure to support the creation of digital twins (DTs) by SMART USA Institute. These services will support DTs for the Birck Nanotechnology Center (BNC) and other SMART USA partners for research, development, and education/workforce development (EWD) efforts. The services will involve collecting data from the source (e.g. BNC equipment and simulations), making the data AI-ready following FAIR principles, seamlessly connecting the data to AI models and visualization to inform decision-making, and ultimately publication, storage, and sharing. Importantly, decision making includes using real-time information from multiple sources to update digital twins and the use of their forecasting ability to provide feedback to experimentalists. The work will leverage resources from Purdue's Rosen Center for Advanced Computing (RCAC) and nano HUB. The Senior Data Science Engineer will work with the NCN team to develop scalable data pipelines and modeling workflows, ensure data quality and governance, design data architectures, and implement ontologies and knowledge graphs. The role will also prepare AI-ready datasets, optimize data workflows for analytics and dashboards, and support decision-making tools that leverage advanced computational methods. The position will design, build, and maintain advanced data infrastructure supporting research, education, and workforce development initiatives. This position will enable reliable data collection, storage, processing, and delivery for scientific, engineering, and AI/ML applications. The position is expected to have a 3-year duration and be renewable. What We're Looking For: * Bachelor's degree in Engineering, Computer Science, Physical Science, Data Science or a related field * Four or more years of experience in data engineering, database development, or datapipeline implementation, including: building ETL/ELT pipelines to transform raw > ccleaned> enriched data, database schema design and management for relational or non-relational systems, implementing data quality, lineage, and governance frameworks. * Consideration will be given to an e quivalent combination of required education and related experience * Demonstrated experience with one or more relational database systems such as MySQL, PostgreSQL, or MS SQL Server * Strong programming skills in Python, SQL and related data transformation tools * Experience with data architecture design, partitioning, indexing, and retention policies for performance and scalability * Familiarity with visualization/BI tools such as Tableau or Power BI * Ability to collaborate with domain experts to define metadata plans and integrate diverse data sources * Knowledge of data lifecycle management, archival processes, and data security principles * Ability to quickly understand new technology requirements and demonstrate skills learned * Excellent oral, written, and computer communication skills with strong analytical and troubleshooting skills * Ability to multi-task on a variety of activities and work effectively on multiple deadline-driven tasks * Self-motivated with the ability to think and work independently * Demonstrated ability to work with others What is Helpful: * Advanced degree in Engineering, Data Science, or Physical Sciences discipline * Experience designing and implementing ontologies, taxonomies, or knowledge graphs * Familiarity with AI/ML data preparation, including anomaly detection for process control data sets * Knowledge of FAIR (Findable, Accessible, Interoperable, Reusable) data principles * Background with cloud data platforms (AWS, AZure, GCP) or big data technologies (Spark, Hadoop) * Experience integrating agentic AI systems with controlled access to datasets and analytical tools * Ability to scope, evaluate and deploy commercial management or analytics solutions * Experience with large-scale scientific or engineering data workflows * Specialized skills such as: big data technologies, dynamic web programming, or speculative/exploratory data driven analysis What We Want You To Know: * Purdue will not sponsor employment authorization for this position * A background check is required for employment in this position * FLSA: Exempt (Not eligible for overtime) * Retirement Eligibility: Defined Contribution Waiting Period * Purdue University is an EO/EA University. Apply now Posting Start Date: 10/17/25

Accenture Flex offers you the flexibility of local fixed-duration project-based work powered by Accenture, a leading global professional services company. Accenture is consistently recognized on FORTUNE's 100 Best Companies to Work For and Diversity Inc's Top 50 Companies For Diversity lists. As an Accenture Flex employee, you will apply your skills and experience to help drive business transformation for leading organizations and communities. In addition to delivering innovative solutions for Accenture's clients, you will work with a highly skilled, diverse network of people across Accenture businesses who are using the latest emerging technologies to address today's biggest business challenges. You will receive competitive rewards and access to benefits programs and world-class learning resources. Accenture Flex employees work in their local metro area onsite at the project, significantly reducing and/or eliminating the demands to travel. Job Description: Join our dynamic team and embark on a journey where you will be empowered to perform independently and become an SME. Required active participation/contribution in team discussions will be key as you contribute in providing solutions to work related problems. Let's work together to achieve greatness! Responsibilities: * Create new data pipelines leveraging existing data ingestion frameworks, tools * Orchestrate data pipelines using the Azure Data Factory service. * Develop/Enhance data transformations based on the requirements to parse, transform and load data into Enterprise Data Lake, Delta Lake, Enterprise DWH (Synapse Analytics) * Perform Unit Testing, coordinate integration testing and UAT Create HLD/DD/runbooks for the data pipelines * Configure compute, DQ Rules, Maintenance Performance tuning/optimization Qualification Basic Qualifications: * Minimum of 3 years of work experience with one or more of the following: Databricks Data Engineering, DLT, Azure Data Factory, SQL, PySpark, Synapse Dedicated SQL Pool, Azure DevOps, Python Preferred Qualifications: * Azure Function Apps * Azure Logic Apps * Precisely & COSMOS DB * Advanced proficiency in PySpark. * Advanced proficiency in Microsoft Azure Databricks, Azure DevOps, Databricks Delta Live Tables and Azure Data Factory. * Bachelor's or Associate's degree Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We accept applications on an on-going basis and there is no fixed deadline to apply. Information on benefits is here. Role Location: California - $47.69 - $57.69 Cleveland - $47.69 - $57.69 Colorado - $47.69 - $57.69 District of Columbia - $47.69 - $57.69 Illinois - $47.69 - $57.69 Minnesota - $47.69 - $57.69 Maryland - $47.69 - $57.69 Massachusetts - $47.69 - $57.69 New York/New Jersey - $47.69 - $57.69 Washington - $47.69 - $57.69 Locations

Senior Data Engineer - Byrider Corporate - 12802 Hamilton Crossing Blvd. - Carmel, IN 46032 Rewards for Senior Data Engineer: Competitive starting salary Annual bonus Great benefits & paid time off Growing national company in business for 37 years Nice office with plenty of parking Hybrid work schedule Job Summary: We seek a highly skilled and experienced Senior Data Engineer to join our dynamic team. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, reliability, and performance of our data systems. You will drive the data engineering initiatives and collaborate closely with cross-functional teams to support data-driven decision-making within the organization. You must also be skilled at finding solutions to problems while keeping the environment well-structured, stable, and secure. This position reports to the Director of Solutions Engineering. Specific Responsibilities: Data Architecture: Lead the design and development of complex data pipelines, data models, and data integration solutions that meet business requirements and performance standards Data Ingestion: Architect and oversee the development of efficient and scalable data ingestion processes from various sources, including databases, APIs, and external data providers (AWS Redshift, AWS DynamoDB, AWS S3, MS SQL, etc.) Data Transformation: Develop advanced data transformation pipelines and ETL processes to convert raw data into structured and meaningful formats Data Quality: Establish and enforce best practices for data quality, validation, cleaning, and error handling Data Storage: Manage and optimize data storage solutions, including databases, data lakes, and cloud storage services Data Security: Implement advanced data security measures and access controls to protect sensitive data Performance Optimization: Continuously monitor and optimize the performance of data pipelines and databases, implementing best practices to ensure efficient data processing Collaboration: Collaborate closely with leadership, analysts, and business stakeholders to understand their data requirements and deliver advanced data solutions that meet their evolving needs Innovation: Stay at the forefront of emerging data engineering technologies, industry trends, and best practices, and drive innovation within the data engineering domain Documentation: Maintain comprehensive documentation of data pipelines, data models, and processes, and ensure knowledge sharing within the team Products and Stacks: Languages C# TypeScript Python TSQL Java Scala Frameworks .Net Core .Net Framework ASP .NET Database MS SQL DynamoDB Redshift Postgresql Amazon Web Services ECS Cloudwatch Lambda S3 Secrets DynamoDB API Gateway SNS SQS SES CloudFormation Glue Azure Cloud Services Service Fabric Clusters Service Bus App Services Application Insights Key Vaults Databricks Function Apps Tools and Platforms Docker Bitbucket Azure Devops Jira Confluence Lucidspark Looker Skills: Proven experience as a Senior Data Engineer, with a strong understanding of information data security and data access controls Proficiency in programming languages such as Python, Java, or Scala Strong SQL skills and deep experience with database technologies (e.g., SQL, NoSQL) Expertise in data warehousing and ETL tools (e.g., Kodda, AWS Glue) Extensive knowledge of data modeling techniques and data warehouse design Excellent problem-solving and communication skills Ability to work collaboratively in a team, adapt to a fast-paced, evolving environment, and work individually to accomplish goals Experience with cloud platforms (e.g., AWS, Azure) and containerization (e.g., Docker, Kubernetes) Strong commitment to data accuracy, data quality, and data security Ability to work with minimal supervision. Qualities: Strong teamwork is a must Resilience and resourcefulness Strong customer service focus High energy with self-motivation Ability and eagerness to solve problems Educational Requirements: Bachelor's degree in Computer Science, Information Technology, or equivalent experience Technology-related certifications are a plus Experience Required: 3+ years of Python experience 3+ years of SQL experience 3+ years of experience with data modeling and data warehousing Experience with frameworks and products described in the “Products and Stacks” section Experience with standard tools such as Atlassian product suite, AWS and Databricks

Schwarz Partners has an exciting opportunity available for a Data Engineer in Carmel, IN! Data Engineers build data pipelines that transform raw, unstructured data into formats that can be used for analysis. They are responsible for creating and maintaining the analytics infrastructure that enables almost every other data function. This includes architectures such as databases, servers, and large-scale processing systems. A Data Engineer uses different technologies to collect and map an organization's data landscape to help decision-makers find cost savings and optimization opportunities. In addition, data Engineers use this data to display trends in collected analytics information, encouraging transparency with stakeholders. Schwarz Partners is one of the largest independent manufacturers of corrugated sheets and packaging materials in the U.S. Through our family of companies, we continuously build and strengthen our capabilities. You'll find our products wherever goods are packaged, shipped, and sold-from innovative retail packaging to colorful in-store displays at pharmacies and grocers. You also may have spotted our trucks on the highway. Schwarz Partners is built around the idea that independence and innovation go hand in hand. Our structure allows us to adapt to change quickly, get new ideas off the ground, and thrive in the marketplace. Our people are empowered to tap into their talents, build their skills, and grow with us. ESSENTIAL JOB FUNCTIONS FOR THIS POSITION: Build and maintain the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and cloud technologies. Assemble large, complex sets of data that meet non-functional and functional business requirements. Identify, design, and implement internal data-related process improvements. Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues. Conduct configuration & design of application to better leverage the enterprise. Prepare data for prescriptive and predictive modeling. Use effective communication to work with application vendors. Assist in the creation and quality assurance review of design documents and test results to ensure all project requirements are satisfied. Ability to advise and implement on improvements to data warehousing and data workflow architecture. Think outside the box and come up with improvement and efficiency opportunities to streamline business and operational workflows. Document high-level business workflows and transform into low-level technical requirements. Ability to analyze complex information sets and communicate that information in a clear well thought out and well laid out manner. Ability to communicate at varying levels of detail (30,000 ft. view, 10,000 ft. view, granular level) and to produce corresponding documentation at varying levels of abstraction. Be an advocate for best practices and continued learning. Ability to communicate with business stakeholders on status of projects/issues. Ability to prioritize and multi-task between duties at any given time. Solid communication and interpersonal skills. Comply with company policies and procedures and all applicable laws and regulations. General DBA work as needed. Maintain and troubleshoot existing ETL processes. Create and maintain BI reports. Additional duties as assigned. REQUIRED EDUCATION / EXPERIENCE: Bachelor's degree in Computer Science or 4+ years' experience in related field. PREFERRED EDUCATION / EXPERIENCE: Experience developing data workflows. Ability to perform prescriptive and predictive modeling. REQUIRED SKILLS: Demonstrated experience with SQL in a large database environment. Direct experience utilizing SQL to develop queries or profile data. Experience in quantitative and qualitative analysis of data. Experienced level skills in Systems Analysis. Experienced level skills in Systems Engineering. Ability to function as a self-starter. REQUIRED MICROSOFT FABRIC SKILLS: Strong grasp of OneLake concepts: lakehouses vs. warehouses, shortcuts, mirroring, item/workspace structure. Hands-on with Delta Lake (Parquet, Delta tables, partitioning, V-ordering, Z-ordering, Vacuum retention). Understanding of Direct Lake, Import, and DirectQuery trade-offs and when to use each. Experience designing star schemas and modern medallion architectures (bronze/silver/gold). Spark/PySpark notebooks (jobs, clusters, caching, optimization, broadcast joins). Data Factory in Fabric (Pipelines): activities, triggers, parameterization, error handling/retries. Dataflows Gen2 (Power Query/M) for ELT, incremental refresh, and reusable transformations. Building/optimizing semantic models; DAX (measures, calculation groups, aggregations). Ability to multi-task, think on his/her feet and react, apply attention to detail and follow-up, and work effectively and collegially with management staff and end users.

At Lilly, we unite caring with discovery to make life better for people around the world. We are a global healthcare leader headquartered in Indianapolis, Indiana. Our employees around the world work to discover and bring life-changing medicines to those who need them, improve the understanding and management of disease, and give back to our communities through philanthropy and volunteerism. We give our best effort to our work, and we put people first. We're looking for people who are determined to make life better for people around the world. Organizational & Position Overview: The Bioproduct Research & Development (BR&D) organization strives to deliver creative medicines to patients by developing and commercializing insulins, monoclonal antibodies, novel therapeutic proteins, peptides, oligonucleotide therapies, and gene therapy systems. This multidisciplinary group works collaboratively with our discovery and manufacturing colleagues. We are seeking an exceptional Data Scientist with deep data expertise in the pharmaceutical domain to lead the development and delivery of enterprise-scale data products that power AI-driven insights, process optimization, and regulatory compliance. In this role, you'll bridge pharmaceutical sciences with modern data engineering to transform complex CMC, PAT, and analytical data into strategic assets that accelerate drug development and manufacturing excellence. Responsibilities: Data Product Development: Define the roadmap and deliver analysis-ready and AI-ready data products that enable AI/ML applications, PAT systems, near-time analytical testing, and process intelligence across CMC workflows. Data Archetypes & Modern Data Management: Define pharmaceutical-specific data archetypes (process, analytical, quality, CMC submission) and create reusable data models aligned with industry standards (ISA-88, ISA-95, CDISC, eCTD). Modern Data Management for Regulated Environments: Implement data frameworks that ensure 21 CFR Part 11, ALCOA+, and data integrity compliance, while enabling scientific innovation and self-service access. AI/ML-ready Data Products: Build training datasets for lab automation, process optimization, and predictive CQA models, and support generative AI applications for knowledge management and regulatory Q&A. Cross-Functional Leadership: Collaborate with analytical R&D, process development, manufacturing science, quality, and regulatory affairs to standardize data products. Deliverables include: Scalable data integration platform that automates compilation of technical-review-ready and submission-ready data packages with demonstrable quality assurance. Unified CMC data repository supporting current process and analytical method development while enabling future AI/ML applications across R&D and manufacturing Data flow frameworks that enable self-service access while maintaining GxP compliance and audit readiness Comprehensive documentation, standards, and training programs that democratize data access and accelerate product development Basic Requirements: Master's degree in Computer Science, Data Science, Machine Learning, AI, or related technical field 8+ years of product management experience focused on data products, data platforms, or scientific data systems and a strong grasp of modern data architecture patterns (data warehouses, data lakes, real-time streaming) Knowledge of modern data stack technologies (Microsoft Fabric, Databricks, Airflow) and cloud platforms (AWS- S3, RDS, Lambda/Glue, Azure) Demonstrated experience designing data products that support AI/ML workflows and advanced analytics in scientific domains Proficiency with SQL, Python, and data visualization tools Experience with analytical instrumentation and data systems (HPLC/UPLC, spectroscopy, particle characterization, process sensors) Knowledge of pharmaceutical manufacturing processes, including batch and continuous manufacturing, unit operations, and process control Expertise in data modeling for time-series, spectroscopic, chromatographic, and hierarchical batch/lot data Experience with laboratory data management systems (LIMS, ELN, SDMS, CDS) and their integration patterns Additional Preferences: Understanding of Design of Experiments (DoE), Quality by Design (QbD), and process validation strategies Experience implementing data mesh architectures in scientific organizations Knowledge of MLOps practices and model deployment in validated environments Familiarity with regulatory submissions (eCTD, CTD) and how analytical data supports marketing applications Experience with CI/CD pipelines (GitHub Actions, CloudFormation) for scientific applications Lilly is dedicated to helping individuals with disabilities to actively engage in the workforce, ensuring equal opportunities when vying for positions. If you require accommodation to submit a resume for a position at Lilly, please complete the accommodation request form (******************************************************** for further assistance. Please note this is for individuals to request an accommodation as part of the application process and any other correspondence will not receive a response. Lilly is proud to be an EEO Employer and does not discriminate on the basis of age, race, color, religion, gender identity, sex, gender expression, sexual orientation, genetic information, ancestry, national origin, protected veteran status, disability, or any other legally protected status. Our employee resource groups (ERGs) offer strong support networks for their members and are open to all employees. Our current groups include: Africa, Middle East, Central Asia Network, Black Employees at Lilly, Chinese Culture Network, Japanese International Leadership Network (JILN), Lilly India Network, Organization of Latinx at Lilly (OLA), PRIDE (LGBTQ+ Allies), Veterans Leadership Network (VLN), Women's Initiative for Leading at Lilly (WILL), en Able (for people with disabilities). Learn more about all of our groups. Actual compensation will depend on a candidate's education, experience, skills, and geographic location. The anticipated wage for this position is $126,000 - $244,200 Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance). In addition, Lilly offers a comprehensive benefit program to eligible employees, including eligibility to participate in a company-sponsored 401(k); pension; vacation benefits; eligibility for medical, dental, vision and prescription drug benefits; flexible benefits (e.g., healthcare and/or dependent day care flexible spending accounts); life insurance and death benefits; certain time off and leave of absence benefits; and well-being benefits (e.g., employee assistance program, fitness benefits, and employee clubs and activities).Lilly reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion and Lilly's compensation practices and guidelines will apply regarding the details of any promotion or transfer of Lilly employees. #WeAreLilly