Data engineer jobs in Evansville, IN

An exciting career awaits you At MPC, we're committed to being a great place to work - one that welcomes new ideas, encourages diverse perspectives, develops our people, and fosters a collaborative team environment. MPLX Natural Gas & Natural Gas Liquids (NG & NGL) Operations is seeking an Operations Engineer. The Operations Engineer will provide engineering support, project management, technical stewardship and oversight to gathering, pipeline and compression assets. This position will report to the Operations Engineering Manager and requires previous experience in the key areas of operations engineering, crude oil/natural gas/natural gas liquids gathering, pipelines and compression/pump facilities. This position will be focused on providing operations engineering support and the development/execution of gathering, pipeline, and compression related projects. RESPONSIBILITIES: 1. Provides engineering support, technical stewardship. leadership. and oversight to Natural Gas & Natural Gas Liquids operations 2. Troubleshoots operational issues and optimizes processes utilizing sound engineering practices 3. Utilizes modern technical tools and software to perform engineering calculations and modeling 4. Develops. implements, and manages capital and expense projects for business unit while adhering to budgets and project management processes; supervises contract personnel for project development and execution as required 5. Develops project processes. economic evaluations, scoping, costing. and approval documentation 6. Participates in Process Safety Management processes (PHAs, MOCs. etc.) as applicable 7. Partners with company and industry subject matter experts to maintain thorough knowledge and understanding of applicable DOT, OSHA, EPA, and other environmental safety regulations; ensures area of responsibility is compliant with all industry and company standards MINIMUM QUALIFICATIONS: Bachelor's degree in engineering from accredited college or university required Engineer G&P I: Typically has 0-5 years of relevant experience. Engineer G&P II: Typically has 4 or more years of relevant experience. Engineer G&P III: Typically has 7 or more years of relevant experience Engineer G&P Sr: Typically has 12 or more years of relevant experience #GP #GPOPS As an energy industry leader, our career opportunities fuel personal and professional growth. Location: South Shore, Kentucky Additional locations: Job Requisition ID: 00019728 Location Address: 2 MarkWest Dr Education: Bachelors (Required) Employee Group: Full time Employee Subgroup: Regular Marathon Petroleum Company LP is an Equal Opportunity Employer and gives consideration for employment to qualified applicants without discrimination on the basis of race, color, religion, creed, sex, gender (including pregnancy, childbirth, breastfeeding or related medical conditions), sexual orientation, gender identity, gender expression, reproductive health decision-making, age, mental or physical disability, medical condition or AIDS/HIV status, ancestry, national origin, genetic information, military, veteran status, marital status, citizenship or any other status protected by applicable federal, state, or local laws. If you would like more information about your EEO rights as an applicant, click here. If you need a reasonable accommodation for any part of the application process at Marathon Petroleum LP, please contact our Human Resources Department at ***************************************. Please specify the reasonable accommodation you are requesting, along with the job posting number in which you may be interested. A Human Resources representative will review your request and contact you to discuss a reasonable accommodation. Marathon Petroleum offers a total rewards program which includes, but is not limited to, access to health, vision, and dental insurance, paid time off, 401k matching program, paid parental leave, and educational reimbursement. Detailed benefit information is available at ***************************** hired candidate will also be eligible for a discretionary company-sponsored annual bonus program. Equal Opportunity Employer: Veteran / Disability We will consider all qualified Applicants for employment, including those with arrest or conviction records, in a manner consistent with the requirements of applicable state and local laws. In reviewing criminal history in connection with a conditional offer of employment, Marathon will consider the key responsibilities of the role.

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: $115,000 - $130,000, 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: *********************************************************************************

MathCo Role - Data/AI Engineering Manager Onsite - Chicago - 4 days in office (Mandatory) Industry - Pharma (Mandatory) As platform architect/owner, you will: Lead the end-to-end architecture, lifecycle, and governance of the AI/Analytics platform, defining standards, reusable components, and integration patterns. Partner with AI/Data architects to enable scalable model deployment and enhance agentic orchestration. Translate business needs into platform features, manage onboarding, documentation, and cross-functional collaboration for platform adoption. Oversee infrastructure-as-code, CI/CD, observability, and containerized environments to ensure reliability and scalability. Evaluate complex technical proposals and develop actionable platform roadmaps and architecture recommendations Stay current on key AI platform developments and assess their impact on architecture and client strategy Coach others, recognize their strengths, and encourage them to take ownership of their personal development Skills Required Experience in designing, architecting, or managing distributed data and AI platforms in cloud environments (AWS, Azure, or GCP) Proven ability to carry out complex Proof of Concept (POC), pilot projects, and limited production rollouts for AI use-cases, focusing on developing new or improved techniques and procedures. Strong skills in pipeline/workflow optimization and data processing frameworks to evaluate architectural choices Years of Experience Minimum of 8 years in relevant experience, preferably with a consulting background and experience with Pharma clients

Process Alliance is a leading engineering consultancy firm dedicated to delivering innovative solutions in engineering, automation, manufacturing services, and medical devices. With a commitment to being a better model of problem solving, we have been at the forefront of providing cutting-edge engineering services to clients across the life science industry. Our team of experts thrives on solving complex challenges and driving technological advancements to meet the evolving needs of our clients. Overview: We are seeking a C&Q Engineer to support the successful startup, commissioning, and operational handover of new or upgraded pharmaceutical manufacturing systems. This role is ideal for an engineer with strong project execution skills and hands-on experience in commissioning, qualification, and operations support in GMP environments. Key Responsibilities: Support operational readiness planning for new equipment, utilities, and manufacturing areas. Own or support Commissioning & Qualification (C&Q) activities including protocol development, execution, and issue resolution. Assist with manufacturing equipment and process startup, troubleshooting issues during early batches, and improving operational reliability. Develop and update SOPs, batch records, and operational readiness documentation. Coordinate operator training, readiness checklists, and manufacturing process walkdowns. Drive operational improvements and ensure compliance with GMP, safety, and regulatory requirements. Required Qualifications: Bachelor's degree in Engineering (Chemical, Mechanical, Biomedical, Industrial, or related discipline required). 3-5 years of engineering experience in pharmaceutical, biotech, or other regulated life sciences manufacturing. Project management experience supporting capital projects, equipment installation, or cross-functional readiness activities. Hands-on experience with startups, C&Q activities, FAT/SAT, or equipment installation. Strong understanding of GMP operations, documentation, and validation principles. Ability to work collaboratively across engineering, quality, and operations teams. About Our Culture: At Process Alliance, we strive to be a better model for how problems are solved, and solutions are delivered. We believe in providing a supportive and inclusive work environment where employees can thrive both personally and professionally. Join our team and be part of a company that is shaping the future of engineering solutions. Learn more about us: Visit our website at *********************** to explore our projects, expertise, and the impact we make in the engineering and consultancy space. Process Alliance is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences

MUST Be Citizen or Green Card This is a REMOTE role; however, candidates based in Illinois are preferred. MUST SKILLS : ISC/IDN Must Required MUST SKILLS - IAM (Identity Access Management) , Sailpoint and CyberArk MUST The Senior IAM Developer will also formulate and define specifications for complex IAM installations, maintenance, and upgrades, while identifying and analysing performance and capacity issues. The position leads installation and maintenance of major operating system components, multiple program products, and ancillary system components; serves as a technical authority on multiple operating system elements; and collaborates with users, analysts, and technical staff to resolve system issues. Essential Job Functions Architect, design, and develop IAM technical solutions that meet business needs. Evaluate capacity and performance issues. Document technical solutions including specifications, models, diagrams, and other documentation as requested or required. Support production applications and environments 24/7. Effectively collaborate with IAM team members to ensure quality and delivery of solutions. Review and provide feedback on business requirements and proposed technical solutions. Participate in regional and national IAM communities to expand and share knowledge while improving practices. Brainstorm with team members to identify alternative solutions. Serve as a technical expert for the IAM team. Perform additional duties as assigned. Required Qualifications BS or BA degree in Computer Science, Engineering, or equivalent education, training, or work experience (Master's degree preferred). 5 years of experience as an IAM developer or engineer. 3 years of hands-on SailPoint experience. 3 years of hands-on CyberArk experience. 5 or more years of programming experience developing, implementing, debugging, and maintaining applications with any of the following languages: Java, Java EE JavaScript, HTML, and CSS SQL and Transact-SQL Perl, PHP, Python, or Ruby XML and JSON Expert knowledge and multiple years of experience across: Programming within UNIX/Linux using Unix Shell (bash) Database systems such as MySQL, SQL Server, NoSQL, and Oracle Programming LDAP using APIs such as OpenLDAP, JNDI, or Netscape Web-service technologies such as SOAP or REST Single Sign-On technologies (Shibboleth, OpenID Connect) Open-source software and collaboration on open-source projects Network authentication tools such as RADIUS or TACACS Microsoft Active Directory Version control software 2 or more years working with IAM systems and technologies such as Azure, Okta, OneLogin, Oracle Identity Manager, or similar. Prior experience mentoring junior team members. Experience with HIPAA, NIST, FERPA, and SOX standards preferred.

Client is looking for a CNC Application Servicer that can travel to client sites to administer client needs in US, Canada and Mexico. -Conduct field service at customer facilities, ensuring the proper functioning and maintenance of CNC tool & cutter grinding machines. -Specifically working on Straustak machines with an understanding of Numroto software -Provide comprehensive support to customers onsite, by phone, and via email, addressing inquiries and troubleshooting issues promptly and effectively. Ideal Candidates: -Technical field service experience with CNC grinding machinery, encompassing mechanical, electrical, hydraulic, and pneumatic repairs. -Proficiency in troubleshooting machine problems both on-site and remotely, including answering customer inquiries regarding maintenance, mechanical/electrical drawings, and part identification. -Experience with the installation of CNC grinding machines at customer facilities. -"Hands-on" individual with a strong mechanical aptitude. -Ability to interpret and comprehend electrical, mechanical, and other technical drawings. -Basic knowledge of electrical and fluid power circuits is preferred. If interested and qualified please apply directly to this listing or email your resume to: and we can get you candidate portfolio together for submission and consideration

Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what's next. Let's define tomorrow, together. Description United's Digital Technology team is comprised of many talented individuals all working together with cutting-edge technology to build the best airline in the history of aviation. Our team designs, develops and maintains massively scaling technology solutions brought to life with innovative architectures, data analytics, and digital solutions. Job overview and responsibilities Provides mathematical modeling and analysis services to support critical financial, operational, and/or strategic planning decisions and engages in supporting project teams in value added activities that generate practical solutions to complex business problems, explores new business alternatives, and drives improvement in business decisions * Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using operations research, machine learning, and structured programming languages * Identifies, researches, or solves large complex problems using big data and operations research and machine learning principles * Leverages understanding of the business process to identify and implement operations research solutions that will result in significant bottom-line contributions * Builds and develops operations research/optimization mathematical model applications, and provides client support leveraging operations research knowledge * Participates in model design, prototype, and model development for several efforts that occur simultaneously, and interfaces with product delivery groups * Raises concerns when scope of analysis may not align with time available and can choose an appropriate scope of analysis to conduct balancing ROI to time available * Designs analytic plan/develop hypotheses to test; understands limitations of analysis (what it can and cannot be used for) * Anticipates working team questions to data and approach * Identifies solution quality risks and on-time risks * Understands the business value, process, and expectations before focusing on choice of a technical solution * Understands the intuition behind the numbers (i.e. does it make sense?) * Provides on-going analytical services to client organizations * Communicates results to management and clients * Contributes deck content and builds the story for the deck with guidance to summarize findings * Develops and delivers presentations aligned with Ai standards * Speaks in a manner appropriate for working team and their level +1 * Keeps informed about the latest analytical methods and research in the operations research and analytics fields Qualifications What's needed to succeed (Minimum Qualifications): * Masters in Operations Research or other related quantitative discipline involving quantitative analysis and application of advanced operations research principles * Coursework or work experience with mathematical programming techniques * Coursework or work experience in model prototyping through use of optimization toolkit(s) including CPLEX, AMPL, or OPL * Coursework or work experience with C, C++, Java, R, Python, or other structured programming language * Good business, technical, verbal/written communication, presentation and sales skills. Adaptability to changing business environment * Good interpersonal skills and ability to interact with clients * Proficient with MS Office * Successful completion of interview required to meet job qualifications * Must be legally authorized to work in the United States for any employer without sponsorship * Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): * Minor in computer science and/or formal advanced computer science coursework preferred * 1+ years of professional experience in analytical field * 1+ years designing and programming/coding data structures for large-scale computer models * Experience with Julia programming language * Knowledge of United/industry data sources * Structured programming for large-scale computer models * Demonstrated ability to create business value The base pay range for this role is $91,770.00 to $119,514.00. The base salary range/hourly rate listed is dependent on job-related, factors such as experience, education, and skills. This position is also eligible for bonus and/or long-term incentive compensation awards. You may be eligible for the following competitive benefits: medical, dental, vision, life, accident & disability, parental leave, employee assistance program, commuter, paid holidays, paid time off, 401(k) and flight privileges. United Airlines is an equal opportunity employer. United Airlines recruits, employs, trains, compensates and promotes regardless of race, religion, color, national origin, gender identity, sexual orientation, physical ability, age, veteran status and other protected status as required by applicable law. Equal Opportunity Employer - Minorities/Women/Veterans/Disabled/LGBT. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform crucial job functions. Please contact JobAccommodations@united.com to request accommodation.

**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.

Who We Are PCMI (Policy Claim Management International) is a fast-growing, leading provider of integrated software for Extended Warranty Management and Finance and Insurance (F&I) administration. We are a SaaS company that operates in a fast paced, entrepreneurial environment. Our 3 teams located in the US, Poland, and Thailand work collaboratively around the clock to build our PCRS platform that automates the full administration lifecycle of all extended warranties, F&I products, and service contracts for our customers. What You'll Do The ETL Conversion Architect will play a critical leadership role in shaping the data conversion strategy for enterprise-scale implementations of PCMI's PCRS platform. Rather than focusing solely on individual project delivery, this role is also responsible for establishing scalable frameworks, validation models, and governance structures that enable the broader Professional Services team to execute conversions with consistency, accuracy, and minimal rework. Acting as the subject matter expert in ETL methodology, this individual will define how legacy data is transformed, validated, and migrated into PCRS-prioritizing transparency, client alignment, and time-to-value. From developing SQL-based source-to-target comparison models to enabling trust-but-verify conversion tracking, this role is essential to building a repeatable, high-confidence conversion process that accelerates client onboarding and elevates delivery quality across the organization. In this role, you will own: Practice-Level Framework Design: Architect and maintain source-to-target field-level validation frameworks that ensure field-level integrity across legacy and PCRS systems. Design standardized SQL Server validation pipelines (leveraging SSIS) to log and store pre/post conversion data, enabling clear traceability and trust-but-verify validation with clients. Establish conversion hypothesis protocols-defining expected outcomes from each extract-transformation-load (ETL) step before execution begins. Define and govern control total expectations (e.g., contract count, rate bucket totals, claim payments) across major business objects like Contracts, Claims, and Payments. Automation & Quality Enablement: Build automated validation assets and exception monitoring templates that the broader team can leverage in Excel, SQL Server, or other tooling. Partner with DevOps/Engineering to maintain a centralized SQL repository of validation rules, transformation logic, and data anomaly flags. Provide field-level transformation and mapping patterns for common edge cases (e.g., address concatenation, rate truncation, legacy formatting inconsistencies). Client Alignment & Delivery Readiness: Define standardized conversion preview formats (e.g., before/after field-level reports) to be used in pre-conversion workshops with clients-helping them visualize how legacy data will translate into PCRS before any transformation begins. Serve as a client-facing SME during data onboarding and conversion planning sessions-guiding clients through expected outcomes, resolving mapping discrepancies, and confirming mutual alignment prior to data transformation. Act as a Trusted Advisor for clients throughout the full conversion lifecycle, from pre-conversion planning through post-load validation - ensuring transparency, accuracy, and accountability are maintained across all data migration milestones. Ensure ongoing data quality assurance by defining scalable approaches for post-load reconciliation, control totals, and referential integrity validations - enabling early detection of discrepancies and reducing reliance on UAT as the primary validation checkpoint. Governance & Oversight: Own the conversion data quality strategy for PCRS implementations - including release-specific adjustments based on schema evolution. Govern the process for tracking, storing, and surfacing control totals (financial and transactional) across conversions-ensuring full auditability. Define procedures for flagging scope changes or deviations from standard conversions and providing inputs into project change control discussions. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Supervisory Responsibilities None. What You'll Need to Join Our Team 10+ years of progressive experience in ETL development, data conversion, and SaaS implementation, with a proven track record of designing and delivering scalable, SQL-based data frameworks in complex client environments. Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent hands-on experience with high-volume data conversion projects. Deep expertise in Microsoft SQL Server, including schema design, scripting, data transformation, validation logic, stored procedures, and performance tuning. Proficiency in ETL frameworks and tools (e.g., SSIS, custom SQL-based ETL engines), with strong ability to architect reusable pipelines and enforce field-level mapping logic. Solid understanding of SaaS platforms, especially in highly configurable systems within the following industries: Insurance, F&I, Accounting, Risk Management, or warranty admin platforms. Experience working in Professional Services organizations with a focus on implementation quality, timeline predictability, and cost control. Strong communication skills with demonstrated ability to translate complex technical designs into digestible summary insights for non-technical audiences, including PMs and clients. Background in mentoring technical consultants and conversion engineers, and establishing standards for scalable data practices across client projects. Familiarity with Agile or Waterfall delivery methodologies, as well as Change Management, Data Governance, and Test Validation frameworks. Experience collaborating with Product and Engineering to identify platform gaps, inform roadmap priorities, and drive customer outcomes through technical innovation. Required Skills/Abilities Expert-level proficiency in ETL processes, frameworks, and source-to-target data mapping. Strong SQL skills and experience working with SQL Server for complex data transformations. Proficient in managing and querying large datasets across staging and production layers. Familiarity with REST APIs, JSON, XML, and Batch processing for system integrations. Competent in scripting with PowerShell and Python for ETL automation and validation. Strong analytical mindset with a focus on quality, traceability, and reusability of conversions. Excellent communication skills, capable of translating technical insights for non-technical audiences. Highly organized with the ability to manage multiple priorities under tight deadlines. Comfortable in a high-paced, client-facing environment with evolving business needs. Physical Requirements Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds at times. Travel Requirements Must be able to travel to client meetings or PCMI office; up to 10% Why Work For Us Competitive Compensation from $150,000-$170,000 Annually* Comprehensive Benefit Package** Health, Dental & Vision Insurance Health Savings Account (HSA) Flexible Spending Account (FSA) Short- & Long-Term Disability Insurance Company-paid Long-Term Disability Company-paid Life Insurance Voluntary Life Insurance Voluntary Accident Insurance Employee Assistance Program 401k with generous Company Match Commuter Benefits Paid Time Off accrued per pay period. 10 Paid Holidays Paid Parental Leave Annual Bonus Program Professional Development Opportunities Employee Events Wellness Programs Employee Discount Programs Office in Park Ridge, IL - Convenient location to Blue Line *Individual compensation packages are based on various factors unique to each candidate, including skill set, experience, qualifications, and other job-related aspects. **Eligible to enroll in the first day of employment for immediate coverage. Although the role is remote, PCMI can only hire employees in the following states: AL CT FL GA IL KY MO NH NC OH PA TX Note: It is required for this role to be in the Park Ridge, IL office, 2 days per week if candidate is located in the Chicagoland area.

Onebridge, a Marlabs Company, is an AI and data analytics consulting firm that strives to improve outcomes for the people we serve through data and technology. We have served some of the largest healthcare, life sciences, manufacturing, financial services, and government entities in the U.S. since 2005. We have an exciting opportunity for a highly skilled DataOps Consultant to join an innovative and dynamic group of professionals at a company rated among the top “Best Places to Work” in Indianapolis since 2015. DataOps Consultant | About You As a DataOps Consultant, you are responsible for ensuring the seamless integration, automation, and optimization of data pipelines and infrastructure. You excel at collaborating with cross-functional teams to deliver scalable and efficient data solutions that meet business needs. With expertise in cloud platforms, data processing tools, and version control, you maintain the reliability and performance of data operations. Your focus on data integrity, quality, and continuous improvement drives the success of data workflows. Always proactive, you are committed to staying ahead of industry trends and solving complex challenges to enhance the organization's data ecosystem. DataOps Consultant | Day-to-Day Develop, deploy, and maintain scalable and efficient data pipelines that handle large volumes of data from various sources. Collaborate with Data Engineers, Data Scientists, and Business Analysts to ensure that data solutions meet business requirements and optimize workflows. Monitor, troubleshoot, and optimize data pipelines to ensure high availability, reliability, and performance. Implement and maintain automation for data ingestion, transformation, and deployment processes to improve efficiency. Ensure data quality by implementing validation checks and continuous monitoring to detect and resolve issues. Document data processes, pipeline configurations, and troubleshooting steps to maintain clarity and consistency across teams. DataOps Consultant | Skills & Experience 5+ years of experience working in DataOps or related fields, with strong hands-on experience in cloud platforms (AWS, Azure, Google Cloud) for data storage, processing, and analytics. Proficiency in programming languages such as Python, Java, or Scala for building and maintaining data pipelines. Experience with data orchestration tools like Apache Airflow, Azure Data Factory, or similar automated data workflows. Expertise in big data processing frameworks (e.g., Apache Kafka, Apache Spark, Hadoop) for handling large volumes of data. Hands-on experience with version control systems such as Git for managing code and deployment pipelines. Solid understanding of data governance, security best practices, and regulatory compliance standards (e.g., GDPR, HIPAA). A Best Place to Work in Indiana since 2015

Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of Software Development, Software Consultancy and Information Technology Enabled Services. As background, this client has been working with us and internal recruiting to fill this role for a LONG time. Previously, the client was looking for someone who could both technically lead the team specific to SAG technologies and also work with the business. Two things have changed: 1) the span of control of the team increased from SAG to include the other technologies listed in the job description, and 2) he has been unsuccessful in finding someone who was both the best technical architect on the team and also had manager qualities. He is now open to lesser capabilities on the technical, as long as they have the manager. I WOULD TARGET CURRENT/ FORMER SR. MANAGERS/ DIRECTORS OF INTEGRATION/ SOA. PREFERABLY, WERE TECHNICAL AT SOME POINT IN THEIR CAREER, BUT MOVED INTO MANAGEMENT. WITH THIS TARGET, YOU SHOULD BE ABLE TO ACCESS THE APPROPRIATE TALENT AT THIS PAY RATE. Lead ETL Architect Client's is seeking a Lead ETL Architect as a key member of their Center of Expertise for Integration Technologies. This consultant will be primarily responsible for leading the demand intake/ management process with the business leaders and other IT groups related to managing the demand for the design, build and ongoing support of new ETL architectures. They also will interact extensively with the team of architects supporting these technologies. Expertise in one of more of the following integration technology areas is required: -- ETL - Datastage, AnInito, Talend (client is moving from AbInitio to Talend as their primary ETL tool) The overall team is responsible for addressing any architecture impacts and defining technology solution architectures focusing on infrastructure, logical and physical layout of the systems and technologies not limited to hardware, distributed and virtual systems, software, security, data management, storage, backup/recovery, appliances, messaging, networking, work flow, interoperability, flexibility, scalability, monitoring and reliability including fault tolerance and disaster recovery in collaboration with Enterprise Architect(s). Additionally, responsible for the build-out and ongoing run support of these integration platforms. Skills Set · Possession of fundamental skills of a solution architect with ability to inquire and resolve vague requirements · Ability to analyze existing systems through an interview process with technology SMEs. Does not need to be the SME. · Takes a holistic view and communicate to others to be able to understand the enterprise view to ensure coherence of all aspects of the project as an integrated system · Perform gap analysis between current state and the future state architecture to identify single points of failure, capabilities, capacity, fault tolerance, hours of operation (SLA), change windows, · Strong verbal and written communication with proven skills in facilitating the design sessions. · Able to influence, conceptualize, visualize and communicate the target architecture. · Able to communicate complex technical or architecture concepts in a simple manner and can adapt to different audiences · Ability to work independently and market architecture best practices, guidelines, standards, principles, and patterns while working with infrastructure and technology project teams. · Ability to document end-to-end application transaction flows through the enterprise · Ability to document the technology architecture decision process, and if required develop relevant templates · Resolve conflicts within infrastructure and application teams, business units and other architects · Identify opportunities to cut cost without sacrificing the overall business goals. · Ability to estimate the financial impact of solution architecture alternatives / options · Knowledge of all components of an enterprise technical architecture. Additional Information ** U.S. Citizens and those who are authorized to work independently in the United States are encouraged to apply. We are unable to sponsor at this time. Note:- This is a Contract job opportunity for you. Only US Citizen , Green Card Holder , GC-EAD , H4-EAD, L2-EAD, OPT-EAD & TN-Visa can apply. No H1B candidates, please. Please mention your Visa Status in your email or resume . ** All your information will be kept confidential according to EEO guidelines.

**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. _Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics and AI capabilities to help our customers build a better, more sustainable world._ **Job Summary:** Join the Analytics Team at Caterpillar as a strategic and analytical professional focused on leveraging data to enable personalization in marketing automation systems and tailored content for customers and dealers. This role bridges marketing and technical teams, supporting the creation and launch of marketing campaigns and personalization projects, and driving the usage of analytics across digital products and customer lifecycle touchpoints. **What You Will Do** + Consult with marketing teams and Cat Digital to define requirements for marketing journeys and enhance leads with analytics. + Strategically analyze the end-to-end customer journey, identifying high-impact personalization use cases and opportunities. + Act as the primary analytical liaison between Marketing and Data Science, translating strategic initiatives into actionable data requirements. + Work with architecture teams to ensure data ingestion into digital platforms. + Advise marketing agencies and internal content teams on data-driven messaging within customer journeys. + Align with business partners on the vision and execution of data-driven personalization efforts. + Lead medium-complexity projects related to marketing technology and data adoption. + Create, analyze, and validate business requirements, translating them into functional requirements and user stories, and defining acceptance criteria and test cases. **What You Will Have:** + **Customer Focus:** Extensive knowledge of aligning customer needs and satisfaction as primary considerations in business decisions, leveraging analytics for customized solutions. + **Creativity:** Extensive ability to promote creative, original thinking in marketing analytics and personalization strategies. + **Effective Communications:** Strong communication skills to work across divisions and effectively transmit, receive, and interpret ideas and requirements. + **Relationship Management:** Ability to establish and maintain healthy working relationships with clients, vendors, and peers. + **Technical Excellence:** Demonstrated expertise in data analysis, data storytelling, and defining data requirements for technical teams (Data Science/Engineering). + **Strategic Thinking:** Ability to think strategically and define use cases across the customer lifecycle, applying organizational acumen to focus on key success factors. + **Digital Marketing:** Solid understanding of marketing automation platforms, CRM, content management systems, ecommerce, and lead management. **Considerations For Top Candidates** + 8+ years of experience in analytical roles focused on marketing, leads, CX, or personalization strategy. + Self-starter with proactive approach and project management skills. + Exceptional writing, communication, and presentation skills. + Ability to apply user insights, research, and analytics to inform strategies and measure results. + Experience in B2B messaging development and successful product launches; creative agency experience is a plus. + Experience collaborating with marketing and data teams to design and optimize email campaign strategies. + Familiarity with AI and its opportunities in marketing. + Understanding of Construction Industries, Prime and Aftermarket. + Design knowledge (Adobe, PowerPoint) and familiarity with design thinking or customer journey mapping methodologies. + Data Scientist background and ecommerce experience are nice-to-have. **Summary Pay Range:** $106,194.25 - $165,840.00 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 Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at **************************** **Posting Dates:** December 12, 2025 - January 2, 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 (*********************************************** .

Ventures Unlimited is a service centric organization. Our success begins with our ability to apply our relationships, leverage technologies, and identify talent - often in combination - to an endless array of real-world customer needs Role : Ab Initio ETL Architect Location: Chicago, IL Duration: Full Time Permanent Job Description : Total Experience Required : 12+ years Mandatory Technical Skills : Strong knowledge in Ab Initio suite (GDE, BRE, EME, Express->IT etc) Must have implementation knowledge of Ab Initio Metadata and BRE Should be able to Define the strategy, roadmap, process, governance etc for Metadata driven development Should have knowledge on integrating Metadata in the SDLC phases Should have knowledge on Data Modeling, data lineage, Data quality best practices Requirement analysis, estimation, scoping, Design, Review, performance tuning. Define the strategy, roadmap, process, governance for Metadata driven development POC's using Ab Initio EME, BRE Provide architecture solutions for the large programs Desirable Technical Skills : Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment A broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain. Demonstrated experience in real world IT or other solutions environments including creating (on your own or with a team) a product or IT solution Strong communication skills including representing your company in industry standards organizations or industry technical forums. Strong technical team leadership, mentorship and collaboration. Desirable Functional Skills : Functional experience of retail healthcare industry Qualifications Ab Initio suite (GDE, BRE, EME) Additional Information Contact "Rahul Kumar" for more details at ************ Ext :157

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 * * * * *

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

InfoTech Resources is seeking a Data Scientist for a hybrid position based in the Chicago Loop, working 2-3 days per week onsite. This opportunity is open to both contract and direct-hire candidates. The selected candidate will play a key role in designing, developing, and optimizing data-driven AI solutions within a modern cloud-based environment (Google Cloud). The client is a large enterprise company in the insurance sector and this role will join their first dedicated AI/ML team charged with designing and laying a proper foundation for AI/ML solutions. The Data Scientist will use Python and leading AI frameworks to build, train, and evaluate models that support intelligent applications and data analytics initiatives leveraging Google Vertex AI, Gemini, and OpenAI integrations. Candidates must have expertise designing/developing models, agents, frameworks, etc. within a greenfield context and hands-on experience in evaluating model performance using structured testing methodologies. Key Responsibilities Develop, train, and validate predictive and generative AI models using Python and industry-standard libraries such as NumPy, pandas, scikit-learn, matplotlib, and TensorFlow/PyTorch Design and execute structured experiments to evaluate LLM and model performance using quantitative testing methodologies Collaborate with AI engineers and software developers to operationalize models within Google Vertex AI or similar environments Apply data wrangling, feature engineering, and exploratory data analysis (EDA) to ensure data quality and model interpretability Build and visualize insights using Power BI, matplotlib, or other data visualization tools Implement best practices in prompt engineering, context filtering, and AI model evaluation Contribute to continuous improvement of the organization's AI and machine learning capabilities through research and adoption of emerging methods Communicate findings and recommendations clearly to technical and business stakeholders Required Skills & Experience Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field 5+ years of hands-on experience in Python for data science and AI solution development Background in cloud-based data environments (Google Cloud Platform, Azure, or AWS) Familiarity with LLM prompt design, AI observability, or model monitoring frameworks Proven experience with Google Vertex AI, Gemini, or OpenAI models Proficiency with NumPy, pandas, scikit-learn, or similar Python libraries and visualization libraries such as matplotlib or seaborn Strong foundation in machine learning techniques, including regression, classification, clustering, and evaluation metrics Experience designing and executing experiments to evaluate model performance Excellent analytical, problem-solving, and communication skills Experience presenting findings to cross-functional or business leadership audiences Exposure to deep learning or generative AI workflows (e.g., PyTorch, TensorFlow, Hugging Face Transformers) is preferred

Data Science Research Services The Data Scientist will support the analytical, research, and technical needs of DSRS in helping Faculty and Researchers. This role is responsible for conducting data analysis, building datasets, developing models, supporting research projects, and contributing to internal tools that enhance data-driven decision-making within the Gies College of Business. Duties & Responsibilities * Data Analysis & Research Support a. Clean, prepare, and analyze datasets to support faculty research and DSRS initiatives. b. Conduct exploratory data analysis, statistical testing, and visualizations. c. Translate research questions into clear analytical approaches and deliverable outputs. * Modeling & Methodology Development a. Build and evaluate statistical models or machine learning models based on project needs. b. Develop reproducible workflows for model training, testing, and interpretation. c. Document methodologies and maintain organized, transparent code for future reference. * Data Pipeline & Workflow Development a. Assist in building and maintaining robust data pipelines used across DSRS projects. b. Ensure data processing steps are consistent, scalable, and aligned with best practices. c. Collaborate with technical staff to integrate data processes into DSRS framework * Internal Tools & Reporting a. Contribute to dashboards, internal applications, or automation processes used by DSRS. b. Generate clear summaries, reports, and visual outputs for faculty and internal stakeholders. c. Support development of templates, documentation, and shared resources. d. Support and contribute to infrastructure development to support DSRS services * Cross-Functional Collaboration a. Work closely with faculty, staff, project managers, and interns to deliver high-quality analytical work. b. Participate in project scoping, requirement gathering, and progress discussions. c. Provide technical guidance or support to junior team members when needed. d. Mentor and train students into Data Science Applications * Miscellaneous a. Provide ad-hoc assistance as and when required b. Support additional tasks or emerging needs that fall outside the primary responsibilities, as the role evolves with DSRS. Additional Physical Demands Additional Information: This position supports both research-based and operational projects within the college. Work may include collaboration with multiple faculty members, administrative units, and cross-functional teams. The role requires flexibility, professionalism, and adherence to university data, privacy, and security standards. Minimum Qualifications 1. Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Information Systems, or a related field. 2. Proficiency in Python and commonly used data science libraries 3. Experience with data cleaning, analysis, and visualization. 4. Experience applying statistical or machine learning methods to real datasets. Preferred Qualifications 1. Experience working with large or research datasets. 2. Experience with large computing systems. 3. Experience with SQL or relational databases. 4. Familiarity with cloud tools or workflow automation 5. Experience supporting academic research or collaborative analytic projects. 6. Familiarity with emerging AI/ML techniques (e.g., embeddings, LLM-based workflows). Knowledge, Skills and Abilities Strong analytical and problem-solving skills. Ability to write clean, well-documented, and reproducible code. Strong communication skills and ability to explain technical concepts clearly. Appointment Information This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after the 2/16/2026. Salary is competitive and commensurate with qualifications and experience, while also considering internal equity. The budgeted salary range for the position is $90,000 to $100,000. Sponsorship for work authorization is not available for this position. For more information about Gies Business, visit ****************************************************** Application Procedures & Deadline Information Applications must be received by 6:00 pm (Central Time) on January 15, 2026. Apply for this position using the Apply Now button at the top or bottom of this posting, and upload your cover letter, resume (months and years of employment must be included), and names/contact information for three professional references. Please remember to include specific information on how you meet the qualifications of the position in your resume, including all relevant experience. Applications not submitted through ************************* will not be considered. For further information about this specific position, please contact *******************. For questions regarding the application process, please contact ************. This position is intended to be eligible for benefits. This includes Health, Dental, Vision, Life Insurance, a Retirement Plan, Paid time Off, and Tuition waivers for employees and dependents. The University of Illinois System is an equal opportunity employer, including but not limited to disability and/or veteran status, and complies with all applicable state and federal employment mandates. Please visit Required Employment Notices and Posters to view our non-discrimination statement and find additional information about required background checks, sexual harassment/misconduct disclosures, and employment eligibility review through E-Verify. Applicants with disabilities are encouraged to apply and may request a reasonable accommodation under the Americans with Disabilities Act (2008) to complete the application and/or interview process. Accommodations may also be requested on the basis of pregnancy, childbirth, and related conditions, or religion. Requests may be submitted through the reasonable accommodations portal, or by contacting the Accessibility & Accommodations Division of the Office for Access and Equity at ************, or by emailing accessibility@illinois.edu. Requisition ID: 1034068 Job Category: Research Apply at: *************************

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 and 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

Old National Bank has been serving clients and communities since 1834. With over $70 billion in total assets, we are a regional powerhouse deeply rooted in the communities we serve. As a trusted partner, we thrive on helping our clients achieve their goals and dreams, and we are committed to social responsibility and investing in our communities through volunteering and charitable giving. We continually seek highly motivated and talented individuals as our people are critical to our success. In return, we offer competitive compensation with our salary and incentive program, in addition to medical, dental, and vision insurance. 401K, continuing education opportunities and an employee assistance program are also included in our benefit suite. Old National also offers a variety of Impact Network Groups led by team members who are passionate about driving engagement, creating awareness of diverse backgrounds and experiences, and building inclusion across the organization. We offer a unique opportunity to join a growing, community and client-focused company that is firmly rooted in its core values. Responsibilities Position Summary A Cloud Data Engineer Lead is a high-level professional responsible for designing, developing, and maintaining the data architecture in our organization. This role is responsible for overseeing the technical aspects of data management, including data integration, processing, storage, and retrieval. The Cloud Data Engineer Lead provides technical leadership to a team of Data Engineers in the enablement and support of our cloud data platform, creation and maintenance of data pipelines, data product development, and data governance patterns to ensure the timeliness and quality of data. The role is responsible for ensuring that data is accurate, reliable, and available to Analysts, Data Scientists, and other stakeholders within our organization. Our Data Engineering teams work in a highly collaborative environments, engage in daily standups, operate within Agile development practices, and participate in a GitOps development model in that everything is code. Salary Range The salary range for this position is $98,400 - $199,000 per year. Final compensation will be determined by location, skills, experience, qualifications and the career level at which the position is filled. Key Accountabilities Key Accountability 1: Data Engineering and Architecture Strategic Leadership * Provide direction for the organization's data engineering and architecture strategy. * Make final decisions on data infrastructure design and tool selection, balancing business needs with technical feasibility. * Collaborate on requirements gathering while owning the architectural vision and execution. * Champion data management best practices across the organization. Key Accountability 2: Engineering Execution and Technical Implementation * Write production-quality code and implement scalable ETL pipelines using tools like AWS, S3, Glue, Lambda, and Databricks. * Apply business intelligence best practices such as dimensional modeling and distributed data processing. * Design, build, and maintain modern cloud-based data platforms to support enterprise data needs including integrations, analytics, and AI. Key Accountability 3: Team Development and Cross-Functional Collaboration * Bootstrap and grow the data engineering team, setting standards and mentoring new members. * Translate business requirements into technical solutions, ensuring alignment with broader organizational goals. * Enable data-driven decision-making by delivering reliable analytics pipelines and insights. Qualifications and Education Requirements * B.S. degree in a related field and 7 to 9 years professional experience OR a total of 7 plus years' experience as Senior Data Engineer, Senior Software Engineer, or equivalent. * 5 plus years working in AWS Cloud (AWS Solution Architect Certification is a plus) and hybrid cloud environments. * 7 plus years working with data warehouse platforms. * Coding experience in SQL and scripting languages such as Python and Bash and expert working knowledge of the Spark platform, preferably in a cloud data platform environment such as Databricks. * Experience working with large and complex data sets with multi-terabyte scale is a plus. * Knowledge of Agile and GitOps methodologies * Banking experience / knowledge is a plus * Ability to communicate effectively, both orally and in writing, with clients and groups of employees to build and maintain positive relationships * Strong leadership and communication skills. You must be able to collaborate with other teams, effectively manage projects, and communicate technical information to non-technical stakeholders.