Data scientist jobs in Evanston, IL - 462 jobs

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

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit https://jobs.cvshealth.com/us/en/benefits We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. Position Summary This actuarial leader is responsible for overseeing the development, validation, and delivery of key medical cost assumptions used in annual pricing and bid development for Individual Medicare Advantage. This role ensures all assumption models are completed accurately and delivered on time to the actuarial pricing team. The leader will collaborate closely with cross‑functional partners to confirm data integrity, review adjustments, and validate projection reasonability. In addition, the leader will ensure all medical cost assumptions are CMS compliant and account for regulatory changes. Operating with a high degree of autonomy, the individual will manage and coordinate work across a team of supporting actuaries, ensuring alignment, quality, and timely execution. Strong communication skills are essential, as this role regularly presents results, insights, and recommendations to actuarial and business leadership. Required Qualifications Bachelor's degree along with 5+ years of actuarial experience Associate of the Society of Actuaries (ASA) Member of the American Academy of Actuaries (MAAA) Healthcare background Proficient in MS Excel Experience with SAS and SQL is desired Strong communication skills Preferred Qualifications Experience with Medicare Advantage products Fellow of the Society of Actuaries Education Bachelor's degree Pay Range The typical pay range for this role is: $118,450.00 - $260,590.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. This position also includes an award target in the company's equity award program. Great benefits for great people We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: Affordable medical plan options, a 401(k) plan (including matching company contributions), and an employee stock purchase plan. No-cost programs for all colleagues including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. Benefit solutions that address the different needs and preferences of our colleagues including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 03/27/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. #J-18808-Ljbffr

Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. What You'll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: Bachelor's Degree At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in big data technologies At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: 7+ years of experience in application development including Python, SQL, Scala, or Java 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 4+ year experience working on real-time data and streaming applications 4+ years of experience with NoSQL implementation (Mongo, Cassandra) 4+ years of data warehousing experience (Redshift or Snowflake) 4+ years of experience with UNIX/Linux including basic commands and shell scripting 2+ years of experience with Agile engineering practices At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. Chicago, IL: $179,400 - $204,700 for Lead Data Engineer McLean, VA: $197,300 - $225,100 for Lead Data Engineer Richmond, VA: $179,400 - $204,700 for Lead Data Engineer Riverwoods, IL: $179,400 - $204,700 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at ************** or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to ********************** Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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

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

Why join us? Our purpose is to design for the good of humankind. It's the ideal we strive toward each day in everything we do. Being a part of MillerKnoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows MillerKnoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone. About the Role We're looking for an experienced and adaptable Data Scientist to join our growing AI & Data Science team. You'll be part of a small, highly technical group focused on delivering impactful machine learning, forecasting, and generative AI solutions. In this role, you'll work closely with stakeholders to translate business challenges into well-defined analytical problems, design and validate models, and communicate results in clear, actionable terms. You'll collaborate extensively with our ML Engineer to transition solutions from experimentation to production, ensuring models are both effective and robust in real-world environments. You'll be expected to quickly prototype and iterate on solutions, adapt to new tools and approaches, and share knowledge with the broader organization. This is a hands-on role with real impact and room to innovate. Key Responsibilities * Partner with business stakeholders to identify, scope, and prioritize data science opportunities. * Translate complex business problems into structured analytical tasks and hypotheses. * Design, develop, and evaluate machine learning, forecasting, and statistical models, considering fairness, interpretability, and business impact. * Perform exploratory data analysis, feature engineering, and data preprocessing. * Rapidly prototype solutions to assess feasibility before scaling. * Interpret model outputs and clearly communicate findings, implications, and recommendations to both technical and non-technical audiences. * Collaborate closely with the ML Engineer to transition models from experimentation into scalable, production-ready systems. * Develop reproducible code, clear documentation, and reusable analytical workflows to support org-wide AI adoption. * Stay up to date with advances in data science, AI/ML, and generative AI, bringing innovative approaches to the team. Required Technical Skills * Bachelor's or Master's degree in Data Science, Statistics, Applied Mathematics, Computer Science, or a related quantitative field, with 3+ years of applied experience in data science. * Strong foundation in statistics, probability, linear algebra, and optimization. * Proficiency with Python and common data science libraries (Pandas, NumPy, Scikit-learn, XGBoost, PyTorch or TensorFlow). * Experience with time series forecasting, regression, classification, clustering, or recommendation systems. * Familiarity with GenAI concepts and tools (LLM APIs, embeddings, prompt engineering, evaluation methods). * Strong SQL skills and experience working with large datasets and cloud-based data warehouses (Snowflake, BigQuery, etc.). * Solid understanding of experimental design and model evaluation metrics beyond accuracy. * Experience with data visualization and storytelling tools (Plotly, Tableau, Power BI, or Streamlit). * Exposure to MLOps/LLMOps concepts and working in close collaboration with engineering teams. Soft Skills & Qualities * Excellent communication skills with the ability to translate analysis into actionable business recommendations. * Strong problem-solving abilities and business acumen. * High adaptability to evolving tools, frameworks, and industry practices. * Curiosity and continuous learning mindset. * Stakeholder empathy and ability to build trust while introducing AI solutions. * Strong collaboration skills and comfort working in ambiguous, fast-paced environments. * Commitment to clear documentation and knowledge sharing. Who We Hire? Simply put, we hire qualified applicants representing a wide range of backgrounds and abilities. MillerKnoll is comprised of people of all abilities, gender identities and expressions, ages, ethnicities, sexual orientations, veterans from every branch of military service, and more. Here, you can bring your whole self to work. We're committed to equal opportunity employment, including veterans and people with disabilities. This organization participates in E-Verify Employment Eligibility Verification. In general, MillerKnoll positions are closed within 45 days and are open for applications for a minimum of 5 days. We encourage our prospective candidates to submit their application(s) expediently so as not to miss out on our opportunities. We frequently post new opportunities and encourage prospective candidates to check back often for new postings. MillerKnoll complies with applicable disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact MillerKnoll Talent Acquisition at careers_********************.

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

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.

About Everest: Everest is a global leader in risk management, rooted in a rich, 50+ year heritage of enabling businesses to survive and thrive, and economies to function and flourish. We are underwriters of risk, growth, progress and opportunity. We are a global team focused on disciplined capital allocation and long-term value creation for all stakeholders, who care deeply about our impact on communities and the wider world. Our Legacy Business Join a team where dynamic thinkers turn complexity into opportunity. You will work at the crossroads of strategy, analytics, and execution - tackling some of the most challenging and high‑impact problems in the insurance industry. Here, your ability to navigate multiple disciplines isn't just valued - it's essential. The $5 billion Legacy business at Everest requires active, forward‑looking discipline focused on resolving legacy liabilities and unlocking capital for the company's future growth. You'll play a direct role in reducing volatility, strengthening market credibility, and accelerating strategic value creation across the Group. Our environment challenges you to think fast, adapt quickly, and approach complex legacy portfolios with fresh ideas and data‑driven insights. You'll work closely with claims, actuarial, finance, reinsurance, technology, and operations - building a uniquely broad and influential skill-set. Position Summary This Chief Reserving Actuary role is a fully dedicated leader for the Legacy business, providing dedicated reserving studies and support for special projects and transactions as needed. With dual reporting to the CEO, Legacy Operations and the Group Chief Reserving Actuary, you will play a crucial role in this newly established business, managing reserve drift, building granularity around actuarial analysis and reporting specific to run-off, building frameworks to assess profitability of run-off actions; minimizing any future surprises and creating a more predictable run-off path. Key Responsibilities * Perform quarterly studies and roll forward analyses and present to the Legacy reserving board * Implement a "performance board" model across the Group * Strengthen the reserve-claims feedback loop and instill rigorous tracking and dialog around quarterly AvE emergence and monthly early signals * Run actuarial-led deep dives for any problematic or uncertain areas of the portfolio * Translate claim events into reserve implications and capital impact * Support pricing of externally contemplated deals (LPTs/retros) as needed * Develop granular IBNR allocation methodologies to gauge profitability of anticipated liability acceleration strategies (e.g., policy buybacks) * Translate reserving and claims signals into actionable run-off insights and interventions * Enhance transparency and credibility for the Senior Leadership team and rating agencies Required Experience * 10+ years actuarial experience and an ACAS or FCAS designation * Advanced degree in a quantitative discipline preferred, including but not limited to Actuarial Science, Mathematics, Statistics, or Computer Science * Expertise in P&C insurance or reinsurance reserving, with specific run-off reserving experience as an added bonus * Strong business focus and experience with analyzing P&C claims and trends * Technical know-how including Excel, VBA, SQL and Python * Global Insurance/Reinsurance industry experience a plus * Strong analytical and problem-solving skills * Excellent communication and interpersonal skills * Detail oriented and highly organized * Skilled in time management and the ability to prioritize tasks * Excellent critical thinking skills * Strong relationship management and influencing skills #LI-Hybrid #LI-ED1 The base salary range for this position is $250,000 - $310,000 annually. The offered rate of compensation will be based on individual education, experience, qualifications and work location. All offers include access to a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO). What if I don't meet every requirement? At Everest we are dedicated to building an inclusive and authentic workplace. So, if you are excited about this role but your past experience doesn't align perfectly with every element in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles. Please let us know if you need any accommodations throughout the application or interview process. Our Culture At Everest, our purpose is to provide the world with protection. We help clients and businesses thrive, fuel global economies, and create sustainable value for our colleagues, shareholders and the communities that we serve. We also pride ourselves on having a unique and inclusive culture which is driven by a unified set of values and behaviors. Click here to learn more about our culture. * Our Values are the guiding principles that inform our decisions, actions and behaviors. They are an expression of our culture and an integral part of how we work: Talent. Thoughtful assumption of risk. Execution. Efficiency. Humility. Leadership. Collaboration. Inclusion and Belonging. * Our Colleague Behaviors define how we operate and interact with each other no matter our location, level or function: Respect everyone. Pursue better. Lead by example. Own our outcomes. Win together. All colleagues are held accountable to upholding and supporting our values and behaviors across the company. This includes day to day interactions with fellow colleagues, and the global communities we serve. Type: Regular Time Type: Full time Primary Location: Warren, NJ Additional Locations: Atlanta, GA, Boston, MA, Chicago, IL - South Riverside, Miami, FL, New York, NY, Philadelphia, PA Everest is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion or creed, sex (including pregnancy), sexual orientation, gender identity or expression, national origin or ancestry, citizenship, genetics, physical or mental disability, age, marital status, civil union status, family or parental status, veteran status, or any other characteristic protected by law. As part of this commitment, Everest will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Everest Benefits at *********************************. Everest U.S. Privacy Notice | Everest (everestglobal.com)

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.

A leading health solutions company in Chicago seeks an experienced actuarial leader to oversee medical cost assumptions for Individual Medicare Advantage. Responsibilities include collaborating with cross-functional teams for data integrity and ensuring compliance with CMS regulations. Candidates must possess a Bachelor's degree and 5+ years of actuarial experience, along with strong communication skills. A comprehensive benefits package and competitive compensation with a pay range of $118,450 - $260,590 is offered. #J-18808-Ljbffr

A leading health solutions company in Chicago is seeking an experienced actuarial leader responsible for overseeing the development and validation of medical cost assumptions for Medicare Advantage. This position requires a Bachelor's degree and over 5 years of actuarial experience. Ideal candidates should possess strong communication skills and experience with healthcare, SAS, and SQL. The role offers a competitive salary range from $118,450 to $260,590 along with comprehensive benefits including medical plans, a 401(k) plan, and further incentives. #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.

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