Data scientist jobs in North Liberty, IA - 867 jobs

Contrast is building the future of healthcare - where artificial intelligence, automation technology, and electronic healthcare records converge to revolutionize patient care, streamline processes, and create a lasting impact on the well-being of society. Our team believes the following qualities, combined with a relentless drive, will propel us towards our goal of building industry-changing solutions. If this resonates with you, we're eager to meet. Passion for Healthcare A deep-seated commitment to revolutionizing healthcare through technology, and an understanding of the unique challenges and nuances of the industry. Technical Excellence While specific skills vary by role, a foundational understanding of technology's potential in healthcare is crucial. We seek those who are eager to expand upon this knowledge. Resilience & Adaptability The startup journey is filled with highs and lows. We seek individuals who can navigate these fluctuations, adapt quickly, and remain undeterred by setbacks. The belief that the best results arise from team efforts. Candidates should possess the ability to communicate effectively and work with diverse groups. Ethical Integrity Upholding the highest standards of ethical behavior and understanding the profound responsibility we have in the healthcare sector. About the role Contrast AI is seeking a highly skilled and innovative Machine Learning Engineer / Data Scientist to join our team. As part of Contrast AI, you will work on cutting-edge AI solutions, contributing to the development of intelligent systems that push the boundaries of machine learning and data-driven technologies. You will collaborate closely with our software engineers and data scientists to design, implement, and optimize AI models that address real-world challenges for our clients. What you'll do Design, develop, and deploy machine learning models for various AI-powered applications. Work with large datasets to build, train, and evaluate predictive models and algorithms. Collaborate with cross-functional teams to understand business objectives and translate them into machine learning solutions. Conduct data preprocessing, feature engineering, and data analysis to derive actionable insights. Optimize models for performance and scalability in production environments. Stay up-to-date with the latest developments in AI and machine learning, implementing best practices to ensure robust and efficient models. Conduct experiments, tune hyperparameters, and apply advanced techniques to improve model accuracy and efficiency. Mentor junior team members and contribute to knowledge sharing across the team. Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or related fields. Strong background in machine learning algorithms, statistical modeling, and data analysis. Proficiency in Python, R, or a similar programming language for data manipulation and model development. Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. Solid understanding of data structures, algorithms, and software development principles. Hands-on experience with cloud platforms like AWS, GCP, or Azure for deploying machine learning models. Familiarity with data visualization tools like Matplotlib, Seaborn, or similar. Excellent problem-solving skills, with a proactive and collaborative approach to work. Strong communication skills to convey complex technical concepts to non-technical stakeholders. Preferred Qualifications Experience with deep learning, reinforcement learning, or natural language processing. Knowledge of big data technologies such as Hadoop or Spark. Prior experience working in an AI-driven company or startup environment. Compensation: The base compensation range for the role is: $130,000 - $150,000 based on leveling and desired cash/equity split. Philosophically, we lean towards generous equity grants so that our team truly gets to share in the impact they create. Are you outside of the range? We encourage you to still apply: we take an individualized approach to ensure that compensation accounts for all of the life factors that matter for each candidate. Why Work at Contrast: 4 remote weeks per year - work from anywhere. Daily meals in our downtown Chicago office. Work with cutting-edge AI technology that improves the quality of life for healthcare providers and patient care. Dedicated time and budget for personal development, including access to world-class mentors and advisors. Collaborate with a world-class, diverse team that is deeply mission-aligned. Ownership over your success with the ability to significantly impact company growth. Our supporters include top-tier Silicon Valley venture firms, leading minds in AI, and healthcare industry leaders. Join the Contrast team as a Machine Learning Engineer/Data Scientist and leverage your expertise to make a lasting impact in the rapidly evolving world of AI and healthcare. For more information about our company and culture, visit our website . The pay range for this role is: 130,000 - 150,000 USD per year (Chicago, IL) #J-18808-Ljbffr

Be a part of our success story. At Launch, we offer talented and driven professionals the opportunity to deliver high-impact work in a dynamic, fast-growing environment. We invest in our people through competitive compensation, exceptional benefits, internal growth pathways, and meaningful community involvement. For senior professionals ready to shape the future of AI and Data Science, your next big opportunity starts here. The Role: As a Senior Data Scientist, you will lead the design and development of advanced machine learning and AI solutions that solve complex business challenges. You'll apply a deep technical foundation in data science, spanning statistics, modeling, software engineering, and domain expertise, while helping set technical direction, mentor team members, and influence decision-making across the organization. You will work closely with stakeholders and cross-functional teams to define use cases, architect scalable solutions, and drive innovation through GenAI, LLMs, NLP, computer vision, and other cutting-edge techniques. Key Responsibilities: Lead advanced Data Science initiatives from ideation to deployment, ensuring alignment with business strategy and measurable outcomes. Develop, implement, and optimize AI/ML models across a range of domains, including predictive analytics, GenAI, LLMs, time series, deep learning, and NLP. Conduct rigorous exploratory data analysis and feature engineering to uncover insights and support robust model development. Architect data preprocessing pipelines that ensure clean, high-quality, and well-structured data for training and evaluation. Apply experimental design best practices (e.g., A/B testing, cross-validation, randomization) to ensure statistical rigor and reduce model bias/overfitting. Own the deployment and monitoring of ML solutions on modern cloud platforms (Databricks, AWS SageMaker, Azure ML, Snowflake, etc.). Serve as a technical advisor and thought leader, guiding internal stakeholders on AI capabilities, data strategy, and industry best practices. Mentor and support the development of junior and mid-level data scientists through code reviews, pair programming, and knowledge sharing. Communicate effectively across technical and non-technical audiences, including executive leadership, to influence and drive adoption of data-driven solutions. Required Qualifications: 7+ years of hands-on experience in Data Science, with a strong track record of delivering end-to-end AI/ML solutions in production environments. Deep expertise in Python, including libraries such as scikit-learn, pandas, NumPy, TensorFlow, PyTorch, spa Cy, and/or Hugging Face. Strong understanding of statistical modeling, regression, classification, clustering, and deep learning architectures. Demonstrated experience applying GenAI, LLMs, NLP, or computer vision techniques to solve real-world business problems. Proven ability to write advanced SQL and work with complex data structures across relational and non-relational databases. Experience with data pipeline orchestration and preprocessing of structured and unstructured data at scale. Hands-on experience with cloud data science platforms such as Databricks, AWS SageMaker, Azure ML, Snowflake Snowpark, or Palantir Foundry. Strong stakeholder management skills and the ability to thrive in a high-paced, constantly evolving environment. Excellent verbal and written communication skills, including the ability to present complex technical concepts clearly and persuasively. Preferred Qualifications: Experience with project delivery frameworks and tools such as Azure DevOps, JIRA, or Agile methodologies. Experience working with Electronic Medical Record systems and healthcare data file types (e.g., HL7, FHIR, CCD). Certifications related to Epic, FHIR, or other health IT platforms are a plus. Familiarity with data architecture tools (e.g., Miro, Visio, LucidChart) for technical design documentation. Knowledge of modern cloud-based data solutions such as Azure Synapse, Snowflake, Redshift, or BigQuery. Benefits & Compensation: 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 wage range for this role is $140,000-180,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

A leading consulting firm is seeking a Solution Architect who specializes in Azure data and analytics services. The ideal candidate should have over 10 years of experience, with a deep understanding of cloud-native solutions on Azure. This role includes engaging with senior leadership, leading technical assessments, and presenting solutions to clients. The position offers competitive compensation between $180,000 - $220,000 annually. #J-18808-Ljbffr

A leading consulting firm in Chicago is seeking an experienced Solution Architect specialized in Azure data and analytics services. The role involves designing cloud-native architectures, collaborating with sales for proposals, and engaging with executives. The ideal candidate has over 10 years in technology architecture and strong communication skills. A competitive salary of $180,000 - $220,000 is offered along with comprehensive benefits. #J-18808-Ljbffr

A diversified trading firm is seeking a Data Engineer in Chicago to develop and maintain data infrastructures crucial for trading operations. This role involves working closely with cross-functional teams and requires at least 2 years of experience in programming languages like Python, Java, or C++. The ideal candidate will have a strong background in financial markets and experience with data systems. Comprehensive benefits and a competitive salary range of $175,000 - $225,000 plus bonus are offered. #J-18808-Ljbffr

**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.

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

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Oculus). By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner. **Required Skills:** Data Scientist, Product Analytics Responsibilities: 1. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches 2. Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products that serve billions of people and hundreds of millions of businesses 3. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends 4. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations 5. Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions **Minimum Qualifications:** Minimum Qualifications: 6. Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience 7. A minimum of 6 years of work experience in analytics (minimum of 4 years with a Ph.D.) 8. Bachelor's degree in Mathematics, Statistics, a relevant technical field, or equivalent practical experience 9. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R) **Preferred Qualifications:** Preferred Qualifications: 10. Master's or Ph.D. Degree in a quantitative field **Public Compensation:** $177,000/year to $247,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

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

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.

Job Family Actuarial About Us At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests. Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there. Who We Are We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life. Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them. We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms. What We Do Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs. Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com. Summary The Senior Actuary, Financial Risk Methodology & Economic Capital provides guidance to the Methodology team of Aegon's Financial Risk Management department. As a member of the Methodology team, the position will take a leading role in the development of financial market risk models and methodology across multiple reporting frameworks, including IFRS, US GAAP LDTI and Economic Capital. Responsibilities * Plays an active role in guiding the preparation and interpretation of actuarial and financial information, develop and maintain key financial / market risk models for use across the whole Aegon Group of companies. * Supporting the demands of a variety of external and internal stakeholders, including regulators, auditors and relevant functions in all the Aegon Business Units, most notably financial reporting functions, ALM departments and financial and actuarial risk areas across various countries across the globe where Aegon has representation. * Exercises significant judgment in setting priorities and determining necessary tasks. * Provides guidance and advice regarding technical actuarial issues such as pricing rates, modeling methodology, reserving principles and related matters. * Leads the preparation and interpretation of actuarial and financial risk information for presentation to Senior Management. * Maintains good and active relation with internal stakeholders on the financial and market risk related domain * Leads several key projects at various times during the year. * Represents the company on industry and professional committees and/or with regulators. * May support creation of quantitative finance or actuarial models in a model change management environment * Monitors and analyzes developments in quantitative finance techniques, laws and regulations applicable to company operations, and competitive developments in the marketplace Qualifications * FSA or equivalent professional designation along with Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics or related field, and 8 years of relevant experience. In lieu of Bachelor's, will accept Master's in a listed discipline and 6 years or relevant experience. In lieu of FSA will accept ASA or equivalent professional designation and 14 years of relevant experience. * Demonstrates high quality leadership, judgment, organization and prioritization skills. * Exhibits effective management skills to motivate and develop a staff. * Effectively communicates, both verbally and in writing, advanced mathematical and analytical concepts to various audiences. * Works well under pressure and within time constraints to effectively accomplish individual and team objectives. Compensation * The Salary for this position generally ranges between $157,000 - $200,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. * Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion. Working Conditions * Normal hybrid office environment. Limited travel may be required. This position may be considered at the Actuarial Director level as well. This is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation in order to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request. What We Offer For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees. Compensation Benefits * Competitive Pay * Bonus for Eligible Employees Benefits Package * Pension Plan * 401k Match * Employee Stock Purchase Plan * Tuition Reimbursement * Disability Insurance * Medical Insurance * Dental Insurance * Vision Insurance * Employee Discounts * Career Training & Development Opportunities Health and Work/Life Balance Benefits * Paid Time Off starting at 160 hours annually for employees in their first year of service. * Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays). * Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars * Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. * Adoption Assistance * Employee Assistance Program * College Coach Program * Back-Up Care Program * PTO for Volunteer Hours * Employee Matching Gifts Program * Employee Resource Groups * Inclusion and Diversity Programs * Employee Recognition Program * Referral Bonus Programs Inclusion & Diversity We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women. To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all. Giving Back We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work. Transamerica's Parent Company Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity. * As of December 31, 2023

Job Family Actuarial About Us At Transamerica, hard work, innovative thinking, and personal accountability are qualities we honor and reward. We understand the potential of leveraging the talents of a diverse workforce. We embrace an environment where employees enjoy a balance between their careers, families, communities, and personal interests. Ultimately, we appreciate the uniqueness of a company where talented professionals work collaboratively in a positive environment - one focused on helping people look forward and plan for the best life possible while providing tools and solutions that make it easier to get there. Who We Are We believe everyone deserves to live their best life. More than a century ago, we were among the first financial services companies in America to serve everyday people from all walks of life. Today, we're part of an international holding company, with millions of customers and thousands of employees worldwide. Our insurance, retirement, and investment solutions help people make the most of what's important to them. We're empowered by a vast agent network covering North America, with diversity to match. Together with our nonprofit research institute and foundation, we tune in, step up, and are a force for good - for our customers and the communities where we live, work, and play. United in our purpose, we help people create the financial freedom to live life on their terms. What We Do Transamerica is organized into three distinct businesses. These include 1) World Financial Group, including Transamerica Financial Advisors, 2) Protection Solutions and Savings & Investments, comprised of life insurance, annuities, employee benefits, retirement plans, and Transamerica Investment Solutions, and 3) Financial Assets, which includes legacy blocks of long term care, universal life, and variable and fixed annuities. These are supported by Transamerica Corporate, which includes Finance, People and Places, General Counsel, Risk, Internal Audit, Strategy and Development, and Corporate Affairs, which covers Communications, Brand, and Government and Policy Affairs. Transamerica employs nearly 7,000 people. It's part of Aegon, an integrated, diversified, international financial services group serving approximately 23.9 million customers worldwide.* For more information, visit transamerica.com. Summary The ALM Modeling Senior Actuary will build and analyze sophisticated models for insurance products, investments and/or portfolios to increase company risk adjusted returns. This person will leverage advanced knowledge of actuarial, financial, statistical, data science and/or balance sheet modeling analytics to develop, test and validate models for various functions within the company. Responsibilities Lead modeling activities on various insurance liabilities, fixed-income assets and derivatives in actuarial systems, including AXIS. Model and quantify risks including equity and interest rate sensitivities, cash flow variability, credit, alternative investment, or liquidity risks. Collaborate with key stakeholders from business line valuation, ALM, risk management, financial/risk reporting, etc. Embrace new technologies to improve workflows. Design and build external or embedded controls to mitigate operating risks in workflows. Apply risk management techniques and procedures, including the company's mandated risk methodologies. Gather and analyze market data, calculate hedge program or portfolio statistics and develop/use models to simulate financial reporting processes. Serve as a company-wide expert in multiple specialties, including portfolio yield projections. Act as a subject matter expert for colleagues with less experience. Apply and integrate statistical, mathematical, predictive modeling and business analysis skills to manage and manipulate complex high volume data from a variety of sources. Design and lead multiple projects, with accountability for ongoing activities and objectives. Review the work of others, providing direction and insight on research solutions to problems presented. Develop staffing plans, recruit qualified candidates, and develop internal staff resources. Lead multiple advanced research projects. Interpret internal or external issues and recommend solutions/best practices. Solve complex problems; take a broad perspective to identify solutions. Build efficient models and processes Apply judgment to modeling choices in a defensible manner. Assess the materiality of various modeling and data choices. Qualifications FSA or equivalent professional designation along with Bachelor's Degree in Actuarial Science, Mathematics, Statistics, Economics or related field, and 8 years of relevant experience. In lieu of Bachelor's, will accept Master's in a listed discipline and 6 years or relevant experience. In lieu of FSA will accept ASA or equivalent professional designation and 14 years of relevant experience. Demonstrates high quality leadership, judgment, organization and prioritization skills. Exhibits effective management skills to motivate and develop a staff. Effectively communicates, both verbally and in writing, advanced mathematical and analytical concepts to various audiences. Works well under pressure and within time constraints to effectively accomplish individual and team objectives. Preferred Qualifications Experience with asset liability management practices Comprehensive understanding of investment and finance concepts to creatively solve complex analytical problems Leadership capabilities to direct teams and projects Advanced degree Insurance or asset/derivatives modeling experience AXIS software experience Working Conditions Hybrid Office Environment Compensation The Salary for this position generally ranges between $157,000 - $175,000 annually. Please note that the salary range is a good faith estimate for this position and actual starting pay is determined by several factors including qualifications, experience, geography, work location designation (in-office, hybrid, remote) and operational needs. Salary may vary above and below the stated amounts, as permitted by applicable law. Additionally, this position is typically eligible for an Annual Bonus based on the Company Bonus Plan/Individual Performance and is at the Company's discretion. Applicants must possess legal authorization to work for our company in the U.S. without the need for immigration, sponsorship or otherwise serving as an employer of record for immigration employment purposes. At this time, this role is not eligible for immigration-related employment authorization sponsorship. This is a hybrid position requiring three days in office per week in one of our hub locations (Cedar Rapids, Baltimore). Relocation assistance will not be provided for this position. Disclaimer Beware of fake job offers! We've been alerted to scammers impersonating Transamerica recruiters, particularly for remote positions. Please note: We will never request personal information such as ID or payment for equipment upfront. Official offers are sent via DocuSign following a verbal offer-not through text or email. This is not a contract of employment nor for any specific job responsibilities. The Company may change, add to, remove, or revoke the terms of this job description at its discretion. Managers may assign other duties and responsibilities as needed. In the event an employee or applicant requests or requires an accommodation to perform job functions, the applicable HR Business Partner should be contacted to evaluate the accommodation request. What We Offer For eligible employees, we offer a comprehensive benefits package designed to support both the personal and financial well-being of our employees. Compensation Benefits Competitive Pay Bonus for Eligible Employees Benefits Package Pension Plan 401k Match Employee Stock Purchase Plan Tuition Reimbursement Disability Insurance Medical Insurance Dental Insurance Vision Insurance Employee Discounts Career Training & Development Opportunities Health and Work/Life Balance Benefits Paid Time Off starting at 160 hours annually for employees in their first year of service. Ten (10) paid holidays per year (typically mirroring the New York Stock Exchange (NYSE) holidays). Be Well Company holistic wellness program, which includes Wellness Coaching and Reward Dollars Parental Leave - fifteen (15) days of paid parental leave per calendar year to eligible employees with at least one year of service at the time of birth, placement of an adopted child, or placement of a foster care child. Adoption Assistance Employee Assistance Program Back-Up Care Program PTO for Volunteer Hours Employee Matching Gifts Program Employee Resource Groups Inclusion and Diversity Programs Employee Recognition Program Referral Bonus Programs Inclusion & Diversity We believe our commitment to diversity and inclusion creates a work environment filled with exceptional individuals. We're thrilled to have been recognized for our efforts through the Human Rights Campaign Corporate Equality Index, Dave Thomas Adoption Friendly Advocate, and several Seramount lists, including the Inclusion Index, 100 Best Companies for Working Parents, Best Companies for Dads, and Top 75 Companies for Executive Women. To foster a culture of inclusivity throughout our workforce, workplace, and marketplace, Transamerica offers a wide range of diversity and inclusion programs. This includes our company-sponsored, employee-driven Employee Resource Groups (ERGs), which are formed around a shared interest or a common characteristic of diversity. ERGs are open to all employees. They provide a supportive environment to help us better appreciate our similarities and differences and understand how they benefit us all. Giving Back We believe our responsibilities extend beyond our corporate walls. That's why we created the Aegon Transamerica Foundation in 1994. Through a mix of financial grants and the volunteer efforts of our employees, the foundation supports nonprofit organizations focused on the things that matter most to our people in the communities where we live and work. Transamerica's Parent Company Aegon acquired the Transamerica business in 1999. Since its start in 1844, Aegon has grown into an international company serving more than 23.9 million people across the globe.* It offers investment, protection, and retirement solutions, always with a clear purpose: Helping people live their best lives. As a leading global investor and employer, the company seeks to have a positive impact by addressing critical environmental and societal issues, with a focus on climate change and inclusion and diversity. * As of December 31, 2023

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: *************************

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 1,200 health and wellness offices across 47 states in four distinct categories: Dental care, urgent care, veterinary 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 Data Scientist. This role is responsible for transforming raw data from various sources to develop high quality machine learning and forecasting models informing the growth strategy across our brands and for TAG as a whole. Responsibilities As a Senior Data Scientist, you will be responsible for: Model Development Identify opportunities within the business and proactively partner with business leaders to develop models using advanced ML and AI techniques to unlock stronger, more streamlined business performance Build, validate, and deploy predictive forecasting models to predict demand, revenue, and market trends Design and execute A/B tests and multivariate experiments to measure the impact of pricing changes and promotional strategies Build elasticity models and scenario simulations to forecast revenue, margin, and adoption under different pricing and promotional strategies Apply statistical and machine learning methods to identify patterns, trends, and insights Understand business objectives and translate them into data-driven solutions Gather, clean, and validate structured and unstructured data from multiple sources Conduct rigorous testing of models, ensuring reasonable results and reporting back to leadership on outcomes Model Ownership Monitor and report on model performance Develop recommendations to improve model accuracy Translate complex analytical findings into clear, actionable insights with recommendations to improve performance Partner with leaders in Product, IT, and Brand leadership to implement tools that leverage the models, changing data outputs into a fully functioning product Maintain well-documented, reproducible code and workflows Continuous Learning & Development Stay current with industry trends, tools, and best practices in data science Proactively suggest new approaches and methodologies to enhance decision-making by leadership Collaborate with cross-functional teams (IT, product, finance, operations) evolve data science approaches to integrate the latest business insights and trends Minimum Education and Experience BA or BS in Data Science, Computer Science, Mathematics, or other degree with equivalent work experience in advanced analytics or business forecasting roles. Advanced Degree is preferred. 4-6 years of experience in roles that leverage data analysis, statistical modeling, or machine learning required including experience leading projects Hands-on experience leveraging statistical packages in Python for statistical analysis and leveraging SQL to query data is required. Experience using data visualization software like Tableau or PowerBI is a plus. Experience working with funnel optimization, user segmentation, cohort analyses, time series analyses, and regression models Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Proven track record of partnering with executive-level audiences to identify opportunities, build out the framework for potential models, and deliver a recommended approach to the business Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $120,000-$140,000/year, 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: *********************************************************************************

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

At CareAllies, our employees are the cornerstone of our business and the foundation to our success. We empower employees with curated development plans that foster growth and promote rewarding, fulfilling careers. This position is responsible for managing the implementation, maintenance and critical review and analysis of models, studies and systems which use actuarial principles for the purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions; developing complicated models and teaching others how to develop models; developing written and oral presentations that drive the delivery of information for decision making; and managing day-to day projects that may include non-Actuarial departments. Must also possess and demonstrate a deep understanding of one actuarial area or business segment **Required Job Qualifications:** + Bachelor's degree in Actuarial Science, Mathematics, Statistics or Economics. Other Bachelor (or higher) Degrees may be considered. + Associate of the Society of Actuaries (ASA) and Membership in the American Academy of Actuaries (MAAA). Compliance with the membership requirements for each professional designation. + At least 5 years of actuarial experience in the health insurance or related field. + Verbal and written communications skills to prepare effective documentation, facilitate training and development, and participate in presentations. + PC proficiency to include Word and Excel. **Preferred Job Qualifications:** + Access, SQL, Visual Basic or other programming skills. + Data visualization tools experience + Medicare experience is a plus \#LI-LK1 \#LI-Hybrid \#INJLF **EEO Statement:** We are an Equal Opportunity Employment employer dedicated to providing a welcoming environment where the unique differences of our employees are respected and valued. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other legally protected characteristics. **Pay Transparency Statement:** At CareAllies, you will be part of an organization committed to offering meaningful benefits to our employees to support their life outside of work. From health and wellness benefits, 401(k) savings plan, pension plan, a minimum of 15 days' of paid time off, paid parental leave, disability insurance, supplemental life insurance, employee assistance program, paid holidays, tuition reimbursement, plus other incentives, we offer a robust total rewards package for full-time employees. The salary offered will vary depending on your job-related skills, education, knowledge, and experience. This role aligns with an annual incentive bonus plan subject to the terms and the conditions of the plan. **Min to Max Range:** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location.

Job DescriptionDescription: As a Data Engineer Intern, you will help build and maintain systems that collect, store, and process data for the organization. Your work ensures that data is accurate, accessible, and ready for analysis to support business decisions. The Data Engineer Intern will work closely with an assigned mentor and have the opportunity to shadow roles throughout the company, participate in community impact initiatives, and visit different branch locations. This individual expresses behavior that supports our company culture (5 P's) and our purpose to create lasting value to those we serve. Key Responsibilities & Essential Functions: Data Pipeline Development: Assist in building and optimizing data pipelines to move data between systems. Data Preparation: Help clean, organize, and prepare data for analysis. Database Maintenance: Support the team in maintaining databases and ensuring data quality. Cloud Platform Work: Gain experience working with cloud platforms and tools such as Azure and Snowflake. Team Collaboration: Collaborate with the Data Architect and Software Engineers on projects. Requirements: Critical Success Factors: Effective written and verbal communication Organizational skills with ability to manage multiple priorities Willingness to learn, grow, and adapt to change Ability to give and receive constructive feedback Ability to work collaboratively and independently Skills & Qualifications: High School Graduate Pursuing a degree in Computer Science, Data Science, or related field. Basic knowledge of programming languages (Python, SQL preferred). Understanding of databases and data structures. Strong problem-solving skills and attention to detail. Ability to work in a team and communicate clearly. What You'll Learn: How to build and manage data pipelines. Best practices for data storage and processing. Exposure to real-world data engineering tools and cloud technologies. Meet Our Past Interns: See what it's really like to be an intern here! Get inspired by their stories and discover the impact you could make! *********************************************************************** The above statements are intended to describe the general nature and level of work being performed by an incumbent. They are not intended to be an exhaustive list of activities, duties or responsibilities. Incumbent may be asked to perform other duties as required.

About Global Atlantic Global Atlantic is a leading provider of retirement security and investment solutions with operations in the U.S., Bermuda, and Japan. As a wholly-owned subsidiary of KKR (NYSE: KKR), a leading global investment firm, Global Atlantic combines deep insurance expertise with KKR's powerful investment capabilities to deliver long-term financial security for millions of individuals worldwide. With a broad suite of annuity, preneed life insurance, reinsurance, and investment solutions, Global Atlantic, through its issuing companies, helps people achieve their financial goals with confidence. For more information, please visit *********************** POSITION SUMMARY: The position is on the Actuarial Modeling team at Global Atlantic's Boston office. While Boston is the preferred location, Des Moines office candidates may also be considered. RESPONSIBILITIES: Develop actuarial models for annuity products including FA, FIA, VA and Payout annuities. The models are used for GAAP, US and Bermuda Statutory reporting, cash-flow testing, FP&A and other purposes. Assist with onboarding new deals, new products and new processes, on our state-of-the-art Milliman Integrate Actuarial platform Develop and maintain testing tools for new models and model updates Support assumption updates and impact quantification Support model production team in producing quarterly/monthly valuation results Follow and employ model development best practices, including: Model design Change management testing and governance Documentation Model validation Adherence to SOX and Risk Management policies Support internal and external auditing activities as well as regulatory exams and inquiries, as needed QUALIFICATIONS: Bachelor's degree in Actuarial Science, Mathematics, Statistics, Finance, or other related fields. Near ASA with 2+ years of experience in the life/annuity insurance industry. Direct experience with MG-ALFA or other actuarial modeling software is preferred. Self-starter and quick learner, being able to solve complex issues independently and in collaborative team settings. Strong communication, problem-solving, technical and analytical skills. Results-oriented, with ability to execute multiple high-priority items simultaneously. Ambition and desire to succeed by delivering quality and effective results. Ability to excel in a dynamic and fast-paced environment. “To be considered for this role, applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or assume sponsorship of an employment Visa at this time.” #LI-KW1 This is the expected annual base salary range for this Boston-based position. Actual salaries may vary based on factors, such as skill, experience, and qualification for the role. Employees may be eligible for a discretionary bonus, based on factors such as individual and team performance. Global Atlantic EEOC Statement Global Atlantic is an equal opportunity employer. Individuals seeking employment are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, sexual orientation, or any other category protected by applicable law. The base salary range for this role $60,000 - $114,600 USD Privacy Statement Our employees are in the office 5 days per week in New York and 4 days per week in all other offices. If you have questions on this policy or the application process, please reach out to ***************** Global Atlantic reserves the right to modify the qualifications and requirements for this position to accommodate business needs and regulatory changes. Future adjustments may include obtaining specific licenses or certifications to comply with operational needs and conform to applicable industry-specific regulatory requirements, state and federal laws.

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