Data scientist jobs in Chicago, IL - 406 jobs

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 Gain: * 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

Fingerprint is looking for a Data Scientist to help improve the accuracy of our Smart Signals by applying data science and machine learning techniques in a high-load, real-time service environment. You'll collaborate with engineers and data scientists on challenging ML problems and work across the project lifecycle from prototyping to deployment. What You'll Work On Develop algorithms that transform raw, noisy, and unlabeled data into insights about browsers and devices Design and implement supervised learning models to improve detection accuracy Partner with ML Engineers, Data Scientists, and Software Engineers to push forward our technical expertise Conduct exploratory data analysis to investigate anomalies and ad-hoc questions Run experiments to solve ML engineering challenges like real-time inference and training automation What We're Looking For BS or MS in Computer Science, Data Science, or related field, or equivalent experience 3-6 years of experience in Data Science or Machine Learning Strong foundations in ML and statistics Experience with supervised learning methods (gradient boosting, logistic regression, etc.) and working with categorical data Skilled in exploratory data analysis and deriving insights from complex datasets Proficiency in Python and SQL; experience with Git and software engineering basics Comfortable communicating in English in a global, remote team Nice to Have Familiarity with semi-supervised or unsupervised learning techniques Hands-on experience with visualization tools (Apache Superset, Tableau, Looker) Knowledge of analytical storage systems (ClickHouse, Snowflake, BigQuery) Experience maintaining data transformations with dbt Ability to build lightweight real-time services from ML models Academic or research background Tech Stack Backend & Data Science: Python, Go, SQL, ML frameworks Analytics & Processing: ClickHouse, dbt Infrastructure: AWS For US-based employees , the cash compensation range for this role is $145,000-$155,000. We set standard ranges for all US roles based on function, level, and geographic location, benchmarked against similar stage growth companies. To comply with local legislation and provide greater transparency to candidates, we share salary ranges on all job postings regardless of desired hiring location. However, these ranges are specific to the hiring location and may differ within or outside the US. Final offer amounts are determined by multiple factors, including geographic location as well as candidate experience and expertise, and may vary from the amounts listed above.

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.

GO BEYOND THE IVY Chicago Cubs | Marquee 360 | Marquee Development | Marquee Ventures Each brand stands as unique as the teams that drive them. We welcome you to learn more about us. Our business is a team sport built on creating and delivering memorable experiences around Cubs baseball and other live events. In support of that effort, we expect associates to work primarily in our office, while also enabling some flexibility. JOB TITLE: Data Scientist DEPARTMENT: R&D - Baseball Analytics / Baseball Sciences ORGANIZATION: Chicago Cubs REPORTS TO: Assistant Director, Baseball Analytics / Director, Baseball Sciences LOCATION(S): Chicago, IL / Mesa, AZ / Remote FLSA STATUS: Exempt COMPENSATION: $65,000 - $115,000 USD BEING PART OF THE TEAM Our business is a team sport that began on a field with baseballs and bats and has evolved into one of the most recognizable brands in sports and entertainment through Cubs baseball and live events. Our success is driven by our people, who work to create and inspire change in an engaging, collaborative and inclusive environment. As a team, we continue to build a culture on and off the field that delivers unforgettable experiences for one another, our fans and community. In support of that effort, we expect associates to work primarily in our office. Are you ready to be part of it? OUR STORY THE CHICAGO CUBS FRANCHISE The Chicago Cubs franchise, a charter member of Major League Baseball's National League since 1876, has won the National League pennant 17 times and was the first team to win back-to-back World Series titles in the 1907 and 1908 seasons. In 2016, the Chicago Cubs made history again when the team won its first World Series in 108 years, ending the longest championship drought in North American sports. Known for its ivy-covered outfield walls, hand-operated scoreboard and famous Marquee, iconic Wrigley Field has been the home of the Chicago Cubs since 1916 and is the second oldest ballpark in Major League Baseball. In 2009, the Ricketts family assumed ownership of the Chicago Cubs and established three main goals for the organization: Win the World Series, Preserve and Improve Wrigley Field, and Be a Good Neighbor. HOW YOU'LL CONTRIBUTE The Chicago Cubs are seeking Data Scientists to join our Baseball Analytics and Baseball Sciences groups in the Baseball Operations' Research and Development department. These roles will focus on building models and applications that support baseball decision-making in the front office. Data Scientists will work closely with the rest of the R&D team to design and implement data processing pipelines, develop analytical methods that deepen our understanding and application of data, and deliver insights that inform decision-making across the organization. The ideal candidate will bring strong technical and analytical skills, with the ability to translate complex findings into actionable recommendations. Data Scientists will specialize with a particular application in mind. Some potential examples: Pitching Analysis Position Player Analysis Major League Strategy Amateur Evaluation International Amateur Evaluation Professional Evaluation Quality Assurance, Validation, and Model Explainability AI Innovation THE DAY-TO-DAY: Create data modeling pipelines that maintain up-to-date estimates of relevant baseball metrics Conduct quantitative research that establishes new insights for a domain specialization Collaborate with stakeholders to prioritize research and integrate the use of quantitative models in our decision-making processes Research, develop, and test methods and models for the purpose of player assessment, development, acquisition, and in-game strategy Support the implementation of new technologies and initiatives into existing analytical frameworks Effectively communicate findings through written reports, presentations, and visualizations Work with Baseball Systems team to integrate new statistical analyses, models, and data visualizations into Cubs web applications Build processes that identify, diagnose, and resolve data quality and model drift issues Handle data and analysis requests from the coaching staff and other departments within Baseball Operations WHAT YOU'LL BRING: Proficiency with SQL, and at least one programming language commonly used in data analysis (e.g., Julia, MATLAB, Python, R) Strong foundation in statistical modeling, machine learning, and data visualization Strong organizational and problem-solving skills, with attention to detail WHAT SETS YOU APART: Advanced degree and/or comparable work experience in a quantitative discipline Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences Demonstrated ability to work collaboratively within a team setting Prior experience/knowledge of baseball analytics and technologies TOTAL REWARDS: On-site parking Transit benefits Paid time off: Personal, Sick, Vacation Time, Office Holidays & Winter Break Flexible work arrangement Casual work attire environment Complimentary Meal & beverage plan Cubs home game & spring training game ticket allotment Access to campus wide Wrigley Field events & pre-sales 401K Plan Employee Contribution & Employer Match Benefit Plans: Medical, Dental, Vision & Life Insurance Health & Wellness engagement & programming Variety of associate special events, volunteer opportunities and partnership discounts Tuition Reimbursement Free access to EV charging stations (Chicago-based) Free subscription to Marquee Sports Network (Chicago-based) * This job posting includes the anticipated compensation, which reflects the hourly rate or salary range the Chicago Cubs and its affiliates are considering for this role in the specified location(s) as of the posting date. Where anticipated compensation is a salary range, the actual base salary offered within that range will be reflective of the candidate's skills and experience. The Chicago Cubs and its affiliates embrace diversity and are committed to building a team that represents all communities. We hold ourselves accountable to include new and different voices in our organization. Everyone is welcome here, and we celebrate what makes each of us unique. Response Expectations: Due to the overwhelming number of applications we receive, we unfortunately may not be able to respond in person to each applicant. However, we can assure you that you will receive an email confirmation when you apply as well as additional email notifications whether you are selected to move forward for the position or not. Please note, we keep all resumes on file and will contact you should we wish to schedule an interview with you. T he Chicago Cubs and its affiliates are an Equal Opportunity Employer committed to inclusion and employing a diverse workforce. All applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, or other legally protected characteristics.

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.

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.

Our client a fast-growing online consumer lender specializing in installment lending and lines of credit. Analytics is uniquely fundamental to this organization and culture which means you have the opportunity to be engaged with all aspects of our business and work on really diverse and challenging problems; from marketing to credit/risk to operations and even investor relations. The data science team consists of highly motivated and experienced data scientists and they are a strategic partner in developing and evolving the processes, technology, and decisions of the business. The atmosphere is very collaborative - they work out difficult problems together and the work that they do has a meaningful and immediate impact on the business. They have a python-based, custom-built platform for running all the credit modeling which means that they fully own our modeling processes from POC to production. They are constantly working on adding new models and improving existing ones and as a member of the team you'll have a set of models and analyses that will be your own. Are you a data scientist ready to step into a role with more responsibility and freedom? Do you thrive in a fast-paced, challenging environment? Do you have experience in python working across a variety of data science tasks? Our client is looking for other inquisitive minds to help them solve challenging problems as they grow and scale their business. They heavily use the following techniques and technologies: • Modeling and machine learning • Advanced feature engineering • Python - pandas, numpy, scikit-learn • Anaconda, Jupyter notebooks • SQL - (PostgresSQL) • Deploying and validating models in production • Docker An ideal candidate is well-experienced in at least a few of these, and would like to get proficient with the remainder, and maybe has good suggestions of other data science tools and methodologies that they haven't used yet. Who are they looking for? You are curious and highly driven. You like to sink your teeth into really challenging problems and when you're in the zone on a tough project, the time flies by. You're comfortable with and enjoy working on problems that are rarely well-defined. You can manage multiple projects at once and are able to switch between tasks as priorities change. You are highly organized and capable of managing your time (they don't want to micromanage). Qualifications: • Bachelor's degree or equivalent (Mathematics, Statistics, Physics, Biostatistics, Engineering), and 2+ years of related experience, Masters or Ph.D. preferred • Experience with: o Python - pandas, numpy, scikit-learn o Anaconda, Jupyter notebooks o R - dplyr, ggplot, lm, etc. o Version control systems (Git/GitHub) o SQL, PostgreSQL • Ability to communicate analysis approaches and results in an organized and clear way • Must be flexible and be willing to learn new tools/methods quickly • Must be comfortable working in a fast-paced environment • Must be a strong team player • Must be able to drive projects to completion independently • Must be authorized to work in the United States • Nice to have skills: Python development, Docker, shell scripting, Bash Benefits/Perks • Competitive pay and benefits package including medical, dental, vision • Flex hours, including occasional work from home • Casual work environment • A large variety of projects to work on • You'll get to know the ins and outs of the business at a level of detail that is difficult or impossible in a large company • Rapid advancement in your breadth and depth of skills • Work with industry leaders, including some of Chicago's best FinTech professionals • A fun, highly collaborative environment. Thank you for illuminating hiring with Quanta Search! ********************

About Company: Who We Are At ADP, what we do is about people. Although we have a strong history of providing solutions for human resource challenges, we strive to do more than that. We challenge ourselves to anticipate, think forward and take action in a way that empowers us to shape the changing world of work. For over 70 years, we've led the way in defining the future of business solutions. ADP is proud to be named the 2023 Fortune World's Most Admired Companies™ list again for 17 consecutive years*. We are a comprehensive global provider of cloud-based human capital management (HCM) solutions that unite HR, payroll, talent, time, tax and benefits administration, and a leader in business outsourcing services, analytics and compliance expertise. Our unmatched experience, deep insights and cutting-edge technology have transformed human resources from a back-office administrative function to a strategic business advantage. Learn more about our philosophy, success factors and why companies work with ADP. About the Role: As a Data Scientist at our Information and Media Services company in New York, you will be responsible for analyzing complex data sets and developing predictive models to drive business decisions. You will work closely with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance. Your work will directly impact the success of our company and our clients, as you will be responsible for delivering actionable insights that drive growth and profitability. Minimum Qualifications: Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field 3+ years of experience in data science or a related field Strong programming skills in R and Python Experience with machine learning techniques such as random forest, neural networks, and logistic regression Experience with statistical analysis and experimental design Preferred Qualifications: Master's or PhD in Computer Science, Statistics, Mathematics, or a related field Experience with big data technologies such as Apache Spark Experience with deep learning frameworks such as TensorFlow Experience with clustering techniques Experience with data visualization tools Responsibilities: Analyze large and complex data sets using statistical and machine learning techniques to develop predictive models Collaborate with cross-functional teams to identify opportunities for data-driven insights and develop solutions to improve business performance Design and implement experiments to test hypotheses and validate models Communicate findings and recommendations to stakeholders in a clear and concise manner Stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities Skills: As a Data Scientist, you will use your strong programming skills in R and Python to analyze large and complex data sets using statistical and machine learning techniques such as random forest, neural networks, and logistic regression. You will also have experience with statistical analysis and experimental design. In addition, you will have experience with big data technologies such as Apache Spark and deep learning frameworks such as TensorFlow. You will use your strong communication skills to clearly and concisely communicate findings and recommendations to stakeholders. Finally, you will stay up-to-date with the latest developments in data science and machine learning to continuously improve our analytical capabilities.

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

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"}

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.

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.

At HCSC, 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. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** 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 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 4 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. Please note that this role is **HYBRID** with an in-office requirement of 3 days a week. \#LI-LK1 \#LI-Hybrid \#INJLF **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, 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, 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 employees. Learn more about our benefit offerings by visiting ************************************* . The compensation 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. **HCSC Employment 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. **Base Pay Range** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

Your Work Shapes the World at Caterpillar Inc. When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world. Job Summary: Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. What You Will Do: * Experience leading projects and teams to completion. Mentor and provide guidance to other team members. * Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. * Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. * Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. * Reporting and presenting team results. What You Will Have: * Machine Learning: Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. * Analytical Thinking: Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. * Business Statistics: Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. Considerations for Top Candidates: * Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree * Extensive experience in predictive analytics. Building and implementing machine learning models * Advance experience programming in Python and SQL * Experience with AWS products such as Sagemake, RDS, EC2, S3 Additional Information: This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. #LI #BI (used to post on Built In Chicago) What You Will Get: Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. About Caterpillar Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. Summary Pay Range: $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. Benefits: Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. * Medical, dental, and vision benefits* * Paid time off plan (Vacation, Holidays, Volunteer, etc.)* * 401(k) savings plans* * Health Savings Account (HSA)* * Flexible Spending Accounts (FSAs)* * Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee Discounts* * Career Development* * Incentive bonus* * Disability benefits * Life Insurance * Parental leave * Adoption benefits * Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. Posting Dates: December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community.

**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.

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 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 HCSC, 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. Join HCSC and be part of a purpose-driven company that will invest in your professional development. **Job Summary** 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 **Are you being referred to one of our roles? If so, ask your connection at HCSC about our Employee Referral process!** **Pay Transparency Statement:** At Health Care Service Corporation, 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, 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 employees. Learn more about our benefit offerings by visiting ************************************* . The compensation 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. **HCSC Employment 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. **Base Pay Range** $90,900.00 - $164,200.00 Exact compensation may vary based on skills, experience, and location. **Join our talent community and receive the latest HCSC news, content, and be first in line for new job opportunities.** **Join our Talent Community. (******************************************** PA8v\_eHgqFiDb2AuRTqQ)** For more than 80 years, HCSC has been dedicated to expanding access to high-quality, cost-effective health care and equipping our members with information and tools to make the best health care decisions for themselves and their families. As an industry leader, HCSC also has been helping to make the health care system work better for all Americans. To remain a leader, we offer compelling careers that encourage resourcefulness, strategic thought and empower you to make a difference in the lives of our members and their communities. Today, with the industry at an important crossroad, HCSC is reimagining health care and looking for original thinkers who aren't afraid to make innovative contributions. We are an Equal Opportunity Employment employer dedicated to workforce diversity and a drug-free and smoke-free workplace. Learn more about HCSC, our commitment to our members and the opportunity you'll have to improve health care delivery in an open, collaborative environment. HCSC is committed to diversity in the workplace and to providing equal opportunity to employees and applicants. If you are an individual with a disability or a disabled veteran and need an accommodation or assistance in either using the Careers website or completing the application process, you can call us at ************** to request reasonable accommodations. Please note that only **requests for accommodations in the application process** will be returned. All applications, including resumes, must be submitted through HCSC's Career website on-line application process. If you have general questions regarding the status of an existing application, navigate to "candidate home" to view your job submissions. Blue Cross and Blue Shield of Illinois, Blue Cross and Blue Shield of Montana, Blue Cross and Blue Shield of New Mexico, Blue Cross and Blue Shield of Oklahoma, and Blue Cross and Blue Shield of Texas, Divisions of Health Care Service Corporation, a Mutual Legal Reserve Company, and Independent Licensee of the Blue Cross and Blue Shield Association © Copyright 2025 Health Care Service Corporation. All Rights Reserved.

**Your Work Shapes the World at Caterpillar Inc.** When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it. _Cat Digital is the digital and technology arm of Caterpillar Inc., responsible for bringing world class digital capabilities to our products and services. With almost one million connected assets worldwide, we're focused on using IoT and other data, technology, advanced analytics and AI capabilities to help our customers build a better world._ **Job Summary:** Cat Digital's Platform Algorithms team is looking for a talented and motived Lead Data Scientist that will help improve platform data by developing and delivering ML/AI models to address the most challenging data issues. As a Lead Data Scientist, you will apply machine learning and other analytics techniques on a very large set of diverse data from IoT connected assets, our integrated network of dealers and enterprise data. **What You Will Do:** + Experience leading projects and teams to completion. Mentor and provide guidance to other team members. + Leading, exploring, developing, promoting, and implementing various projects focused Machine Learning. + Conducting research on data model optimization and algorithms to improve effectiveness and accuracy on data analyses. + Interacting and collaborating with the Analytics management team, with the team members and colleagues outside the organization, including outside Cat Digital. + Reporting and presenting team results. **What You Will Have:** + **Machine Learning:** Extensive knowledge of principles, technologies and algorithms of machine learning; ability to develop, implement and deliver related systems, products and services. + **Analytical Thinking:** Extensive knowledge of techniques and tools that promote effective analysis; ability to determine the root cause of organizational problems and create alternative solutions that resolve these problems. + **Business Statistics:** Extensive knowledge of the statistical tools, processes, and practices to describe business results in measurable scales; ability to use statistical tools and processes to assist in making business decisions. **Considerations for Top Candidates:** + Advanced degree in a discipline such as data science, data analytics, computer science, engineering, statistics, mathematics, or other related degree + Extensive experience in predictive analytics. Building and implementing machine learning models + Advance experience programming in Python and SQL + Experience with AWS products such as Sagemake, RDS, EC2, S3 **Additional Information:** This position will have the option to be based out of our Chicago, IL or Peoria, IL offices. \#LI \#BI (used to post on Built In Chicago) **What You Will Get:** Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us. **About Caterpillar** Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed. **Summary Pay Range:** $126,000.00 - $204,720.00 Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar. **Benefits:** Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits. + Medical, dental, and vision benefits* + Paid time off plan (Vacation, Holidays, Volunteer, etc.)* + 401(k) savings plans* + Health Savings Account (HSA)* + Flexible Spending Accounts (FSAs)* + Health Lifestyle Programs* + Employee Assistance Program* + Voluntary Benefits and Employee Discounts* + Career Development* + Incentive bonus* + Disability benefits + Life Insurance + Parental leave + Adoption benefits + Tuition Reimbursement * These benefits also apply to part-time employees Visa sponsorship is available for eligible applicants. **Posting Dates:** December 10, 2025 - January 4, 2026 Any offer of employment is conditioned upon the successful completion of a drug screen. Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply. Not ready to apply? Join our Talent Community (*********************************************** .