Data scientist jobs in Hinsdale, IL - 405 jobs

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.

Application Deadline: 01/09/2026 Address: 320 S Canal Street Job Family Group: Data Analytics & Reporting We are seeking a highly skilled and inquisitive Marketing Data Scientist to join our North American Marketing Data Science team. This role will be pivotal in advancing our in-house capabilities in Marketing Mix Modeling (MMM), experimentation, and multi-touch attribution (MTA). The ideal candidate will have hands-on experience with open-source MMM tools, causal inference, and A/B testing frameworks, and will be passionate about translating complex data into actionable insights that drive smarter media investment, customer engagement, and marketing optimization. Key Responsibilities Consults on analytical solutions to understand, analyze, and synthesize business requirements, enabling high-quality, fact-based decisions that drive better marketing outcomes and support strategic initiatives. Lead the development and implementation of in-house MMM solutions using open-source packages (e.g., Robyn, Meridian, LightweightMMM, PyMC). Designs, develops, and implements innovative analytical solutions including MMM, MTA, and causal inference frameworks. Design and execute robust experimentation frameworks including A/B testing, uplift modeling, and causal inference to evaluate marketing effectiveness. Provides expert guidance on the configuration, functionality, and usability of data management, analytics, and visualization technologies. Supports the development of strategy and roadmap for data quality, modeling, reporting, and advanced decision support tools and develop scalable, reproducible analytical pipelines for marketing analytics. Builds and maintains effective relationships with internal and external stakeholders to align analytics with business goals. Structures and assembles multi-dimensional data sets across various granularities (e.g., customer, product, transaction, media). Integrates data from multiple sources to enhance analysis, streamline reporting, and improve marketing performance measurement. Documents and maintains operational procedures related to analytical and reporting processes. Qualifications Education & Experience Typically, 4-6 years of experience in marketing analytics, data science, or econometrics, with a post-secondary degree in a quantitative field (e.g., Statistics, Economics, Data Science, Computer Science, Marketing Analytics). Technical Skills Strong hands-on experience with open-source MMM tools (e.g., Robyn, LightweightMMM, PyMC, Prophet). Proficiency in Python and SQL; familiarity with R is a plus. Solid understanding of MTA, attribution modeling, causal inference, design of experimentation Experience with cloud-based data platforms (e.g., AWS, GCP, DataIku). Skilled in data visualization tools (e.g., PowerBI, Looker, Tableau). Core Competencies Strong analytical and problem-solving skills with a data-driven mindset. Excellent communication skills with the ability to influence and collaborate across teams. Ability to work independently on complex analytical tasks and deliver high-impact insights. Nice to Have Familiarity with traditional and digital media data sources (e.g., Kantar, Nielsen, Google Ads, Meta). Experience building custom MMM models from scratch and validating them through experimentation. Knowledge of Bayesian modeling and probabilistic programming. Salary: $88,800.00 - $165,600.00 Pay Type: Salaried The above represents BMO Financial Group's pay range and type. Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group's expected target for the first year in this position. BMO Financial Group's total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit: ******************************************** About Us At BMO we are driven by a shared Purpose: Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world. As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one - for yourself and our customers. We'll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs. From in-depth training and coaching, to manager support and network-building opportunities, we'll help you gain valuable experience, and broaden your skillset. To find out more visit us at ************************* BMO is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or any other legally protected characteristics. We also consider applicants with criminal histories, consistent with applicable federal, state and local law. BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to ************************** and let us know the nature of your request and your contact information. Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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

Fitch Group is currently seeking a principal data scientist, Director for its Emerging Technology AI Center of excellence (COE) group based out of our NY office. As a leading, global financial information services provider, Fitch Group delivers vital credit and risk insights, robust data, and dynamic tools to champion more efficient, transparent financial markets. With over 100 years of experience and colleagues in over 30 countries, Fitch Group's culture of credibility, independence, and transparency is embedded throughout its structure, which includes Fitch Ratings, one of the world's top three credit ratings agencies, and Fitch Solutions, a leading provider of insights, data and analytics. With dual headquarters in London and New York, Fitch Group is owned by Hearst. Fitch's Technology & Data Team is a dynamic department where innovation meets impact. Our team includes the Chief Data Office, Chief Software Office, Chief Technology Office, Emerging Technology, Shared Technology Services, Technology, Risk and the Executive Program Management Office (EPMO). Driven by our investment in cutting-edge technologies like AI and cloud solutions, we're home to a diverse range of roles and backgrounds united by a shared passion for leveraging modern technology to drive projects that matter to our organization and clients. We are also proud to be recognized by Built In as a “Best Place to Work in Technology” 3 years in a row. Whether you're an experienced professional or just starting your career, we offer an exciting and supportive environment where you can grow, innovate, and make a difference. Want to learn more about a career in technology and data at Fitch? Visit: ******************************************************** About the Team The Fitch Group Emerging technology AI Center of excellence (COE) group will be dedicated to build and support Generative AI, Machine learning, Deep Learning and Data science solutions across the organization. The position could be based out of our Chicago or NY offices. Specific Emerging Technology team objectives are: Data Science and Gen AI/ML technology implementation with business and product owners Lead and support other enterprise-level AI exploration tools and capabilities Provide guidance and support for safe development and deployment of AI How You'll Make an Impact: Work closely as part of the product squads to build, integrate, and deploy GenAI and data science solutions. Ensure sharing best practices and learnings with other squad members. Lead and manage development and research projects focused on generative AI, deep learning, machine learning, NLP, and large language models. Design, develop, and deploy state-of-the-art machine learning models and algorithms that leverage deep learning, NLP and computer vision techniques. Collaborate with cross-functional teams to identify opportunities for AI-driven solutions and integrate them into existing systems and workflows. Conduct experiments to validate the performance and effectiveness of developed models and iterate on improvements based on results. Effectively communicate advanced data science/ML concepts in simple language to the business stakeholders always focusing on its applicability to Fitch business Collaborate with MLEs to identify innovative machine learning and Gen AI solutions that leverage data to meet business goals. Stay up to date with the latest advancements in AI, machine learning, NLP, and large language models, and apply this knowledge to drive innovation within the organization. Mentor and provide guidance to junior data scientists and researchers, fostering a culture of continuous learning and development. Contribute to the creation of intellectual property, such as patents and publications, to enhance the company's competitive edge. You May be a Good Fit if: Ph.D. or master's degree in computer science, Data Science, Machine Learning, or a related field. A minimum of 7 years of experience in data science, with a strong focus on generative AI, deep learning, machine learning, NLP, and large language models. Proven track record of developing and deploying successful deep learning and NLP models in real-world applications. Proficiency in programming languages such as Python, and experience with machine learning frameworks such as PyTorch, TensorFlow or similar. Strong understanding of natural language processing (NLP) techniques and experience with large language models like GPT, BERT, or similar. Proficiency in machine learning and deep learning algorithms such as Neural networks, multi-class classifications, decision trees, support vector machines etc. Prior experience working on building Gen AI frameworks and leveraging and/or finetuning LLM's. Excellent problem-solving skills and the ability to think critically and creatively. Strong communication and leadership skills, with a demonstrated ability to work effectively in a collaborative environment. Exposure/experience in containerization technologies like docker, Kubernetes, AWS EKS etc. Knowledge of popular Cloud computing vendor (AWS and Azure) infrastructure & services e.g. AWS Bedrock, AWS S3, AWS Sage maker, Azure AI search, Azure OpenAI, Azure blob storage etc. What Would Make You Stand Out: Passionate about the power of data, GenAI and predictive analytics to drive better business outcomes for customers Proven ability to work effectively in a distributed working environment and ability to work efficiently and productively in a fast-paced environment Familiarity with credit ratings agencies, regulations, and data products around the world Outstanding written and verbal communication skills A champion of good code quality and Data science practices. Strong interpersonal skills and ability to work proactively and as a team player Why Choose Fitch: Hybrid Work Environment: 2 to 3 days a week in office required based on your line of business and location A Culture of Learning & Mobility: Dedicated trainings, leadership development and mentorship programs designed to ensure that your time at Fitch will be a continuous learning opportunity Investing in Your Future: Retirement planning and tuition reimbursement programs that empower you to achieve your short and long-term goals Promoting Health & Wellbeing: Comprehensive healthcare offerings that enable physical, mental, financial, social, and occupational wellbeing Supportive Parenting Policies: Family-friendly policies, including a generous global parental leave plan, designed to help you balance career and family life effectively Inclusive Work Environment: A collaborative workplace where all voices are valued, with Employee Resource Groups that unite and empower our colleagues around the globe Dedication to Giving Back: Paid volunteer days, matched funding for donations and ample opportunities to volunteer in your community Fitch is committed to providing global securities markets with objective, timely, independent and forward-looking credit opinions. To protect Fitch's credibility and reputation, our employees must take every precaution to avoid conflicts of interest or any appearance of a conflict of interest. Should you be successful in the recruitment process at Fitch Ratings you will be asked to declare any securities holdings and other potential conflicts prior to commencing employment. If you, or your immediate family, have any holdings that may conflict with your work responsibilities, you may be asked to divest yourself of them before beginning work. Fitch is proud to be an Equal Opportunity and Affirmative Action Employer. We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law. FOR NEW YORK AND CHICAGO ROLES ONLY: Expected base pay rates for the role will be between 170,000 and 200,000 per year. Actual salaries will be determined on an individualized basis and may vary based on factors including but not limited to education, training, experience, past performance, and other job-related factors. Base pay is one part of Fitch's total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, long-term incentives, and other benefits sponsored by Fitch.

About Jorie: Jorie AI, occupies a uniquely interconnected position at the center of the healthcare industry. An inseparable part of today's healthcare billing ecosystem, with leading edge technology that is driving transformation with AI infused Robotic Process Automation for end-to-end Revenue Cycle Management, providing practice and financial management services to the healthcare industry. Applied Intelligence, Better Insight, Accelerated Efficiencies with Jorie AI. Our work environment: Remote opportunities Growth advancement opportunities Flexible work environment (Work-life Balance) Collaborative and friendly company culture Pay: $110-$150K Job Title: Data Scientist Job Overview: We are seeking a highly skilled Data Scientist with strong Healthcare Revenue Cycle Management (RCM) expertise to join our Data Science and Engineering Team. The primary responsibility for this role is to build high-quality, client facing RCM dashboards using Power BI that provide executives and operations teams with actionable insights. The Ideal candidate understands the full RCM ecosystem, charges, payments, write-offs, denials, AR gaining, coding workflows, payor reimbursement behavior and has advanced analytics skills to translate raw data into meaningful metrics. They should also have experience with Databricks, distributed data processing, predictive modeling, and agile documentation tolls like Confluence and Jira. This role is highly collaborative and client-facing supporting data discovery, dashboard development, and interpreting insights that drive RCM performance improvement. Responsibilities: Power BI Dashboard Development (Primary Responsibility) Build end-to-end RCM dashboards in Power BI for new and existing clients. Transform raw encounter, claims, payment, AR, and denial data into intuitive visualizations. Develop KPI frameworks and executive-level dashboards (e.g., collections, denials, AR performance, coding trends). Optimize data models for performance, accuracy, and refresh reliability. Ensure all dashboards adhere to internal design standards, naming conventions, and SOPs. RCM Analytics & Insight Generation Analyze healthcare RCM datasets to uncover trends, bottlenecks, and improvement opportunities. Work directly with RCM and client teams to understand workflows and convert business rules into measurable KPIs. Provide data-driven recommendations to improve reimbursement, throughput, and operational efficiency. Data Engineering & Databricks Collaboration Use Databricks for data discovery, transformation, and validation. Troubleshoot data quality issues and partner with engineers to ensure accurate pipeline execution. Validate that received client data aligns with expected volume, structure, and completeness. Predictive Modeling & Advanced Analytics (Secondary Responsibility) Develop predictive models such as denial prediction, payment probability, and cashflow forecasting. Support innovation in analytics across the department. Project Management, Documentation & Collaboration Use Jira to manage spring tasks, dashboard documentation, metric definitions, and process notes in Confluence. Support onboarding calls, requirements intake, and client data mapping sessions. Required Qualifications: Bachelor's or Master's degree in data science, Statistics, Health Informatics, Computer Science, or related field. 3-5+ years of hands-on experience in healthcare RCM analytics (claims, billing, AR, payments, denials). 2+ years of building Power BI dashboards with strong DAX and modeling skills. Strong SQL skills and familiarity with large-scale healthcare datasets. Experience working with Databricks Proven ability to translate business and RCM requirements into dashboards and KPIs. Experience using Confluence and Jira in an agile environment. Excellent communication skills with the ability to present insights to clients. Strong understanding of HIPAA regulations and healthcare data security. Preferred Qualifications Experience with Azure (ADLS, AKV, ADF). Experience automating data ingestion (API, SFTP, RPA). Familiarity with Tableau (not required, but helpful). Prior consulting or client-facing analytics experience. Background supporting medical groups, billing companies, or RCM vendors. Core Competencies Strong analytical and critical thinking Clear and concise communication Detail-orientation and accuracy in analysis Results-driven mindset Ability to manage multiple clients and tasks simultaneously Collaborative and willing to work cross-functionally What We Offer The opportunity to build analytics dashboards that clients rely on to run their business Fast-paced environment with significant impact Growth in predictive analytics, automation, and large-scale data engineering Collaborative team culture within Data Science & Engineering

South Side Healthy Community Organization Data Scientist - Data Infrastructure and Analytics We are seeking a visionary and technical Data Scientist to help lead the transition and development of our in-house predictive analytics platform. As SSHCO enhances its internal data intelligence capabilities, you will be the lead designer of a proprietary suite of AI/ML models focused on health equity and behavioral engagement which is central to our long-term sustainability strategy. You will report to the Director of Health Information Exchange and play a defining role in building a self-sustaining, data-driven healthcare ecosystem. Key Responsibilities To perform this job successfully, an individual must be able to perform each essential job function satisfactorily. Reasonable accommodation may be made to enable individuals with disabilities to perform essential duties. • Collect, clean, and analyze complex datasets from internal and external sources, ensuring data quality and integrity for downstream modeling. • Manage the end-to-end model lifecycle using MLFlow (or similar tools), including version control, performance monitoring, and detailed documentation. • Develop predictive and propensity models to optimize member engagement, identifying preferred communication modalities and effective outreach timing. • Design models that integrate clinical data (e.g., pharmacy claims/Medication Adherence) with non-clinical third-party data (Social Determinants of Health and financial risk factors). • Establish closed-loop systems that utilize real-world outreach outcomes to iteratively retrain and fine-tune model accuracy. • Act as the technical lead for program evaluation, using statistical analysis to validate trends, measure intervention impact, and communicate findings to technical and non-technical stakeholders. • Collaborate with cross-functional teams to design new analytic strategies and data-driven improvements tailored to the South Side community. • Maintain strict compliance with HIPAA and other data privacy regulations while managing sensitive healthcare and consumer datasets. • Contribute to grant proposals, research publications, and community reports as needed. • Stay current with trends in healthcare analytics, data science, and non-profit operations to support the long-term sustainability of the organization. Qualifications • Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Public Health, or a related field. • 2+ years of experience applying data science techniques in healthcare, public health, or non-profit sectors. • Project management experience and the ability to lead cross-functional teams preferred. • Strong proficiency in Python/R and SQL for advanced machine learning, data analysis and modeling. • Experience with MLFlow or similar tools for model registry, versioning, and lifecycle management. • Expert knowledge of Feature Engineering techniques (dimensionality reduction and scaling), parameter tuning, and predictive modeling. • Experience building models that integrate clinical data with non-clinical third-party data, with a focus on Social Determinants of Health (SDoH) and financial risk factors. • Experience building propensity models to optimize member engagement and outreach modality. • Proven ability to establish outcomes feedback loops to retrain and fine-tune models based on real-world outreach results. • Experience with data visualization tools like Tableau or Power BI. • Excellent communication skills, specifically the ability to explain complex model scores to clinical and outreach teams. • Demonstrated commitment to health equity, social impact, and the mission of non-profit organizations.

MessageControl is a cybersecurity start-up in Chicago providing human layer email and messaging security. Our innovative technology protects users from phishing, spoofing, fraud, business email compromise (BEC), and other types of attacks. Job Description As a Data Scientist at MessageControl you'll be building intelligent products to protect people from sophisticated email attacks. In this position, your data science expertise will help us build new features and improve our existing security products. Our transparent and collaborative culture means we work both independently and together as a team on projects in an agile environment. What you bring to the team: Partner with stakeholders across the organization to identify high-impact opportunities to use our data to further our innovative product strategy. Build complex predictive models using Machine Learning and Deep Learning algorithms to substantially improve our email security tools. Assess the potential usefulness and validity of new ML and DL approaches and data sources. Develop proof-of-concept prototypes to prove out hypotheses. Manage experience with data, including complex queries, exploratory data analysis, data visualization, advanced modeling and communication of applicable insights to audiences at varying levels of technical sophistication. Help drive our data science culture and strategy. Qualifications Desirable Skills and Experience: Must have at least 3 years of professional experience outside of academic or internship settings. Prior research, data science modeling and taking machine learning features to market. Outstanding quantitative background (e.g. statistics, math, machine learning, operations research, etc.): Bachelors degree required, masters is a plus. Familiarity with technical tools for analysis - Python (with Pandas, Scikit-learn, etc.), SQL, etc. Prior experience using natural language processing techniques is a plus. Previous software development experience is required, including usage of version control systems such as git and writing tests Research mindset with a bias towards action. You are able to structure a project from idea to experimentation to prototype to implementation. Must be a passionate and attentive self-starter, a great communicator, and possess the ability to follow-through initiatives to completion. You have a great work ethic and love the responsibility of being held accountable for the results. Additional Information Perks/Benefits: Direct access to senior management - our leadership team works alongside our team members every day. Comprehensive medical, dental, and vision insurance. Company paid life insurance, short term disability and long term disability. Flexible paid time off (PTO) policy, plus sick days. Ongoing professional development opportunities by level and function. Your choice of Windows or Mac laptop. Onsite gym. Casual dress in a fun, friendly and collaborative work environment. The ability to have significant impact every day. Location: This position is onsite at our office in the Chicago Loop. We're not offering remote employment at this time.

The Lead Data Scientist/Engineer plays a pivotal role in supporting the Medicare Clinical Stars program by providing technical expertise in data engineering, particularly focusing on Google Cloud Platform (GCP) and Hadoop ecosystems. This role involves working within a team of data engineers, acting as a liaison between the Data Intelligence group and the Clinical Stars Data Science group, and providing technical support to enable data-driven insights for clinical stars initiatives. The Lead Data Engineer collaborates closely with data scientists, engineers, and stakeholders to design, develop, and maintain scalable data pipelines, analytics solutions, and machine learning models that drive improvements in Medicare clinical outcomes. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (****************************************** Og4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements Bachelors Degree Extensive experience in data engineering, with a focus on designing, developing, and maintaining data pipelines and analytics solutions using GCP and Hadoop technologies Strong expertise in Google Cloud Platform (GCP) services, including BigQuery, Dataflow, Pub/Sub, Dataproc, and related data processing and storage technologies Ability to build data pipelines from scratch Ability to lead initiatives through completion Experience working in healthcare or health insurance domains, with knowledge of Medicare programs and clinical quality measures (e.g., HEDIS, STAR ratings)

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

The Company Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We're a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow. Named by Newsweek as One of America's Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today's leading international suppliers of plumbing and water delivery solutions. Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe. We hope you'll visit our website and learn more about Zurn Elkay at zurnelkay.com. If you're ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family! If you are a current employee, please navigate here to apply internally. Job Description The Lead Data & BI Scientist is a senior-level role that blends advanced data science capabilities with business intelligence leadership. This position is responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across departments such as sales, marketing, pricing, manufacturing, logistics, supply chain, and finance. The role requires both technical depth and business acumen to ensure that data-driven solutions are aligned with organizational goals and deliver measurable value. Key Accountabilities Strategic Insight & Business Partnership * Partner with business leaders to identify high-impact opportunities and form hypotheses. * Present findings and recommendations to leadership in a clear, impactful manner. * Demonstrate ROI and business value from analytics initiatives. Data Science Leadership * Define and implement data science processes, tools, and governance frameworks. * Mentor junior team members and foster a culture of continuous learning. Advanced Analytics & Modeling * Design, build and validate predictive models, machine learning algorithms and statistical analyses. * Translate complex data into actionable insights for strategic decision-making. Technology & Tools * Utilize tools such as Tableau, Power BI, OBIEE/OAC, Snowflake, SQL, R, Python, and data catalogs. * Stay current with emerging technologies like agentic analytics and AI-driven insights. * Evaluate and recommend BI platforms and data science tools. Project & Change Management * Manage analytics projects from inception to delivery. * Provide training and change management support for new tools and processes. * Lead the establishment of a data science center of excellence. Qualifications/Requirements * Bachelor degree required, in a quantitative field such as engineering, mathematics, science, and/or MIS. Master degree preferred * 10+ years of overall work experience * 7+ years of experience in data science and statistical analysis * Strong understanding and experience with analytics tool such as Tableau and OBIEE/OAC (or similar tools) for reporting and visualization, Snowflake for data storage, data modeling, data prep or ETL tools, R or Python, SQL, and data catalogs. * Strong understanding and experience with multiple statistical and quantitative models and techniques such as (but not limited to) those used for predictive analytics, machine learning, AI, linear models and optimization, clustering, and decision tree. * Deep experience applying data science to solve problems in at least one of the following areas is required. Experience in multiple areas is preferred: marketing, manufacturing, pricing, logistics, sourcing, and sales. * Strong communication (verbal, written) skills, and ability to work with all levels of the organization effectively * Working knowledge of and proven experience applying project management tools * Strong analytical skills * Ability to lead and mentor the work of others * High degree of creativity and latitude is expected Capabilities and Success Factors * Decision Quality - Making good and timely decisions that keep the organization moving forward. * Manages Complexity - Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems. * Plans & Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. * Drives Results - Consistently achieving results, even under tough circumstances. * Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Total Rewards and Benefits * Competitive Salary * Medical, Dental, Vision, STD, LTD, AD&D, and Life Insurance * Matching 401(k) Contribution * Health Savings Account * Up to 3 weeks starting Vacation (may increase with tenure) * 12 Paid Holidays * Annual Bonus Eligibility * Educational Reimbursement * Matching Gift Program * Employee Stock Purchase Plan - purchase company stock at a discount! THIRD PARTY AGENCY: Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions. Equal Opportunity Employer - Minority/Female/Disability/Veteran

Job Description Data Scientist II - Clinical - Looking for only W2 Duration: 12 Months Contract Type: W2 Primary Skills: AWS Cloud Formation, R, Data Analysis, Python, SQL Position Title: Computational Data Scientist Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL. The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans. Digital workflows, systems, IT infrastructure, and computational sciences are critical and growing components within the organization to help deliver vital results in the early pipeline. This specific job role is designed to act as an SME (subject matter expert) for data science within the technical organization of QTAS. For this role, the successful candidate will have a substantial background in data and computer science with an emphasis on supporting, developing and implementing IT solutions for lab-based systems as well as utilizing computational methods. The candidate should possess a deep knowledge in AI/ML, with a focus on both supervised (like neural networks, decision trees) and unsupervised learning techniques (such as clustering, PCA). They must be adept at applying these methods to large datasets for predictive modeling; in this context- drug properties and discovery patterns in ADME datasets. Proficiency in model validation, optimization, and feature engineering is essential to ensure accuracy and robustness in predictions. The role requires effective collaboration with interdisciplinary teams to integrate AI insights into drug development processes. Strong communication skills are necessary to convey complex AI/ML concepts to a diverse audience. Key Responsibilities: Provide business-centric support of IT systems and platforms in support of our scientific operations and processes. Develop, implement, troubleshoot and support solutions independently for the digital infrastructure and workflows within QTAS including custom platform/coding solutions, visualization tools, integration of new software/hardware, and analysis and troubleshooting support. Lead the analysis of large ADME-related datasets, contributing to the understanding and optimization of drug absorption, distribution, metabolism, and excretion properties. Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Develop predictive models and algorithms for identifying potential drug candidates with desirable ADME properties. Collaborate with teams across biological sciences and drug discovery to integrate computational insights into practical drug development strategies. Communicate findings and strategic input to cross-functional teams, including Translational Science, Medicine, and Late Development groups. Qualifications: Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience. Passion for data analysis, solving technical problems and applying new technologies to further scientific goals. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, my SQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets. Proficiency in any of the following technologies is valued: Python (including libraries such as Matplotlib, Seaborn, Plotly, Bokeh), JavaScript, Julia, Java/Scala, or R (including Shiny). Comfortable working in cloud and high-performance computational environments (e.g., AWS and Oracle Cloud) Excellent communication skills and ability to work effectively in interdisciplinary teams. Understanding of pharma R&D process and challenges in drug discovery is preferred. Proven ability to work in a team environment; ability to work well in a collaborative fast-paced team environment. Excellent oral and written communication skills and the ability to convey IT related notions to cross-disciplinary scientists. Thorough theoretical and practical understanding of own scientific discipline Background and/or experience in the biotechnology, pharmaceutical, biology, or chemistry fields is preferred. Key Leadership Competencies: Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance. Learns fast, grasps the "essence" and can change course quickly where indicated. Raises the bar and is never satisfied with the status quo. Creates a learning environment, open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation and manages innovation to reality. Kindly please share your resumes to **********************

JobID: 210665625 JobSchedule: Full time JobShift: Base Pay/Salary: Jersey City,NJ $164,350.00-$260,000.00; Chicago,IL $137,750.00-$235,000.00 Join us as we revolutionize data and analytics with cutting-edge Generative AI, shaping the future of our organization. Experience career growth, collaborate with top talent, and make a meaningful impact through ethical and sustainable AI practices. As a Generative AI Data Science Lead in the Applied Solutions Team, you will drive the development and optimization of LLM-aided AI products. You work closely with cross-functional teams to deliver scalable solutions that support our business objectives and foster innovation. You will help shape the future of our organization by leveraging advanced data science and engineering practices. You will collaborate with the ML Centre of Excellence, AI Research, and Engineering teams to design and deliver high-impact GenAI products and APIs. Your expertise will ensure our solutions are robust, scalable, and aligned with the needs of our business and stakeholders. Job Responsibilities * Combine vast data assets with advanced AI, including LLMs and Multimodal LLMs * Bridge scientific research and software engineering, applying expertise in both domains * Collaborate with engineering teams to lead the design and delivery of GenAI products * Architect and implement scalable AI Agents, Agentic Workflows, and GenAI applications * Integrate GenAI solutions with enterprise platforms using API-based methods * Establish validation procedures with Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Align ML problem definition with business objectives * Communicate technical information and ideas effectively to stakeholders Required Qualifications, Capabilities, and Skills * Bachelor's Degree in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Ten years of experience in an individual contributor role in ML engineering * Strong understanding of statistics, optimization, and ML theory, focusing on NLP and/or Computer Vision algorithms * Demonstrated experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models * Experience integrating GenAI solutions with enterprise platforms via standardized API patterns * Ability to establish validation procedures, including Evaluation Frameworks, bias mitigation, safety protocols, and guardrails * Excellent grasp of computer science fundamentals and SDLC best practices * Strong communication skills to build trust with stakeholders Preferred Qualifications, Capabilities, and Skills * PhD in a quantitative discipline such as Computer Science, Mathematics, or Statistics * Experience designing and implementing pipelines using DAGs such as Kubeflow, DVC, or Ray * Ability to construct batch and streaming microservices exposed as gRPC or GraphQL endpoints * Hands-on experience implementing distributed, multi-threaded, and scalable applications using frameworks such as Ray, Horovod, or DeepSpeed * Relocation assistance is not available for this role.

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 Duties: Collaborate with Business Analysts, Product Owners, and other teams to understand and translate business requirements into data\-driven solutions. Develop advanced analytics and machine learning models to enhance customer experiences in various domains leveraging Generative AI and LLMs. Mentor junior data scientists and analysts, sharing knowledge in advanced statistical analysis and machine learning techniques. Represent the data science team in cross\-departmental meetings, effectively communicating complex analytical concepts and findings. Work closely with business and functional analysts, software architects, to ensure that the developed models and analytics are aligned with business objectives and integrated seamlessly with existing systems. Design and implement big data machine learning models on Hadoop and Spark for handling large and complex datasets, ensuring efficient data processing and storage. Develop and maintain interfaces and tools for data analysis, visualization, and model deployment in Docker environments. Responsible for exploratory data analysis, data transformation, cleaning, and preparation for analysis, including handling structured and unstructured data from various sources. Develop reusable components and frameworks for data analysis, modelling, and visualization that adhere to best practices and standards. Apply natural language processing for unstructured data analysis, model design, and programming techniques to assigned tasks. Provide support for analytics and machine learning applications, including maintenance and troubleshooting. Collaborate with production and technical support teams to analyse and resolve production issues related to data and models. Develop automation solutions for the setup and deployment of analytics and machine learning environments. Prepare high\-level and detailed design documents for data science projects, ensuring compliance with customer standards and obtaining necessary approvals before development. Job Requirements: Required Masters or foreign equivalent in Computer Science, Applied Data Science, CIS, MIS, Engineering (any), or related field. Travel may be required to various unanticipated client sites throughout the U.S. "}}],"is Mobile":false,"iframe":"true","job Type":"Contractor","apply Name":"Apply Now","zsoid":"42719958","FontFamily":"Verdana, Geneva, sans\-serif","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"IT Services"},{"field Label":"Job Opening ID","uitype":111,"value":"8509"},{"field Label":"Work Experience","uitype":2,"value":"4 to 6"},{"field Label":"City","uitype":1,"value":"Naperville"},{"field Label":"State\/Province","uitype":1,"value":"Illinois"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"60563"}],"header Name":"Data Scientist","widget Id":"**********00067217","is JobBoard":"false","user Id":"**********12559117","attach Arr":[],"custom Template":"5","is CandidateLoginEnabled":true,"job Id":"**********38071240","FontSize":"12","location":"Naperville","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do","logo Id":"jo37he59e59634b2342eb853459d6a242551a"}

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 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. The Staff Actuary uses statistics, financial theory, mathematics, and basic financial and actuarial principles to assess the impact of company decisions or situations. They have an in-depth knowledge of at least one market or business segment and operate with a high level of autonomy for daily purposes of pricing, underwriting, statistics, reserving, forecasting and other actuarial functions. This position can communicate complicated concepts, information, and recommendations regarding process, data, analysis, and results, while catering information to different audiences as needed. As necessary, position manages small projects with limited interaction outside Actuarial department. **Required Job Qualifications:** * Bachelor 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). * At least 3 years of actuarial experience. * 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. * Actuarial experience in the health insurance or related field * Pharmacy or Medicare experience is a plus Please note that this role is **HYBRID** with an in-office requirement of 3 days a week. \#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:** $82,700.00 - $149,300.00 Exact compensation may vary based on skills, experience, and location.

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 INTERNATIONALFrom 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 ********************* (https://*********************/our-company) . *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.

Summit School Services companies share a strong commitment to provide the highest level of transportation safety, quality transportation, outstanding customer service and positive employee relations. Our corporate headquarters, located in Warrenville, Illinois, houses the administrative and corporate support functions for the organization. Our 250+ local customer service centers (CSCs) are supported by regional operations teams located throughout North America. **Job Overview** We are seeking a highly skilled and innovative Data Scientist to join our analytics team. The ideal candidate will leverage advanced data analysis, business knowledge and machine learning/AI techniques to extract actionable insights from complex datasets. This role offers an opportunity to work with a variety of applications, data sources, and cloud-based vendor solutions. The Data Scientist collaborates with operations and business teams to create predictive models, dashboards, and reports for staffing, KPIs, and contract renewals. **Responsibilities & Duties** + Design and optimize ETL processes for data ingestion, transformation, and storage + Conduct data mining and exploratory data analysis to identify patterns, trends, and anomalies within large datasets. + Collaborate with cross-functional teams to understand business requirements and translate them into analytical solutions. + Architect, build and maintain databases with effective design principles to ensure data integrity and accessibility. + Deploy machine learning models into production environments using model deployment best practices on cloud platforms. + Analyze operational and performance data from school bus fleets and contracts + Build predictive and statistical models to improve various points of the business such as contract renewal, staffing needs, operational KPIs. + Stay current with emerging trends in AI and analytics to continuously improve modeling approaches. $125,000 - $165,000 **Qualifications** **Requirements** + Bachelor's degree in computer science or a similar field with 5+ years experience as a data scientist or in a similar role. + 5+ years experience developing with programming languages such as SQL, Java and Python. + Excellent understanding of SQL database/design/programming, ETL Processes, and Microsoft SQL Server. + Experience working with data using structured (SQL) and/or unstructured (NoSQL) approaches. + Experience with or exposure to data visualization principles and practices, especially with Power BI or Tableau. + In-depth knowledge of Azure Data Factory, Azure Databricks, and Azure Service Bus. + Critical thinker with excellent problem-solving skills and the ability to solve end user problems. + A team player with good time-management skills and the ability to maintain a friendly demeanor at all times. + Travel requirement of up to 20% on a regular basis. + Demonstrated ability to quickly learn new applications and technologies + Advanced working knowledge of computer software packages including the Microsoft Office Suite as well as demonstrated understanding of operating systems, relational database design and operation, query tools, reporting tools, and decision support tools + Exceptional interpersonal skills with a focus on teamwork, listening, and the ability to build relationships across the business + Excellent verbal and written communication skills + Ability to effectively prioritize and execute tasks in a high-pressure environment + Sense of ownership and pride in your performance and its impact on the company's success. Self-motivated with an energetic disposition. + Strong knowledge of machine learning frameworks and related tools. + Familiarity with cloud computing platforms for model training and deployment. + Proficiency in natural language processing (NLP), linked data integration, and AI applications. + Knowledge of analytics tools for creating insightful dashboards. + Excellent problem-solving skills with the ability to analyze large datasets effectively. + Strong communication skills to convey complex technical concepts to non-technical stakeholders. _Summit School Services has a zero-tolerance policy on conduct that is incompatible with its policies and values, including sexual exploitation and abuse, harassment, abuse of authority, and discrimination. Summit School Services is committed to promoting the protection and safeguarding of all children and passengers._ _We offer medical, dental, vision, basic life insurance coverage, holiday pay, and PTO accrual. Additionally, employees are able to enroll in a retirement savings plan._ _At Summit School Services our goal is to be a diverse workforce that is representative of the communities we serve. All employment decisions are based on business needs, job requirements and individual qualifications, without regard to race, color, religion, sex, pregnancy (including childbirth, lactation and related medical conditions), national origin, age, physical and mental disability, marital status, sexual orientation, gender identity, gender expression, genetic information (including characteristics and testing), military and veteran status, and any other characteristic protected by applicable law._ _Summit School Services LLC's independent subsidiaries and affiliates are an equal employment opportunity (EEO) employer_ . _The pay rate range, along with most all of the other terms and conditions of employment, vary between different sites, geographical markets, customer/ contractual terms and positions._