Senior data scientist jobs in Bolingbrook, IL

About the Role: We're building a large-scale synthetic data generation engine to produce realistic observability datasets - metrics, logs, and traces - to support AI/ML training and benchmarking. You will design, implement, and scale pipelines that simulate complex production environments and emit controllable, parameterized telemetry data. 🧠 What You'll Do \t•\tDesign and implement generators for metrics (CPU, latency, throughput) and logs (structured/unstructured). \t•\tBuild configurable pipelines to control data rate, shape, and anomaly injection. \t•\tDevelop reproducible workload simulations and system behaviors (microservices, failures, recoveries). \t•\tIntegrate synthetic data storage with Prometheus, ClickHouse, or Elasticsearch. \t•\tCollaborate with ML researchers to evaluate realism and coverage of generated datasets. \t•\tOptimize for scale and reproducibility using Docker containers. ✅ Who You Are \t•\tStrong programming skills in Python. \t•\tFamiliarity with observability tools (Grafana, Prometheus, ELK, OpenTelemetry). \t•\tSolid understanding of distributed systems metrics and log structures. \t•\tExperience building data pipelines or synthetic data generators. \t•\t(Bonus) Knowledge of anomaly detection, time-series analysis, or generative ML models. 💸 Pay $50 - 75/hr depending on experience Remote, flexible hours Project timeline: 5-6 weeks

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 1,000 health and wellness offices across 47 states in three distinct categories: Dental care, urgent 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 Analyst, Data & Insights supporting our WellNow Urgent Care brand. This role is responsible for leveraging data and transforming it into insights and reporting that can be utilized across all levels of the organization. This role will be engaged in driving the business both through support of our business partners in both the offices and field teams along with informing strategy for our Executive Leadership Team. Responsibilities As a Senior Analyst, Data & Insights you will be responsible for: Supporting the WellNow brand through the development of a common approach and infrastructure to data sources built to support enterprise-wide reporting Capture and translate business requirements for reporting from executive leadership Developing key data sources in BigQuery through use of SQL, Power BI, or other reporting languages & tools Synthesizing insights from various data sources and presenting data in an easy-to-read manner Become organizational expert on data sources and how to extract data from all systems. Ability to combine multiple data sources; strong attention to detail and data integrity. Work across departments to understand how their work impacts the performance of the business deriving metrics to measure results Identify key opportunities to drive transparency and turn data into insights and action. Leading organization in implementing a standardized, consistent approach to reporting, with a strong focus on user experience to drive usage. Utilizing data to uncover trends and insights, connecting changes in operational metrics to broader business performance, and craft compelling narratives that inform stakeholders and drive strategic decision-making. Ad-hoc analytical projects as needed. Minimum Education and Experience BA or BS in Data Analytics, Finance, Business or other degree with equivalent work experience in analysis or insights-based roles. 3+ years of experience in data analytics or similar analysis-driven roles required. Required experience partnering with both key business stakeholders and IT departments. Experience writing in SQL or BigQuery is required. Experience using data visualization software like Tableau or PowerBI is required. Ability to find and query appropriate data from databases, along with validating and reviewing data and reports for accuracy and completion Excellent communication and interpersonal skills are required. Experience managing cross-functional projects with multiple stakeholders is desirable. Advanced skills with Microsoft Excel and PowerPoint are required. Ability to excel in fast paced environment, take direction, and handle multiple priorities Annual Salary Range: $87,500-105k, 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: ********************************************************************************* View CA Privacy Policy

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

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You 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. 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 remote role on first shift. * 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

When you're the best, we're the best. We instill an environment where employees feel engaged, satisfied and able to contribute their unique skills and talents while living and working as their authentic selves. We provide extensive opportunities for personal and professional development, building both employee competence and organizational capability to fuel exceptional performance through an inclusive environment both now and in the future. Summary: In this role, you will engage in sophisticated data analytics, data modeling, and data technology product development to further the strategic goals of Vizient's Data Operations Technology team. You will utilize programming tools and your experiences with health care data to explore health care informatics challenges and to explore opportunities to create novel and reliable analyses/models/applications. You will steadily grow your domain knowledge and expertise with health care interoperability standards, application programming interfaces (APIs), business intelligence (BI) applications, electronic health record (EHR) systems, and enterprise resource planning (ERP) systems. You will engage directly with internal and client stakeholders to understand analysis needs, gather development requirements, provide demonstrations, and present results. Responsibilities: Use programming tools to translate business requirements into analytics, models, and applications. Generate hypotheses and analyze data to test and interpret results. Design and develop data models using machine learning and artificial intelligence tools. Identify improvement opportunities in data reporting, analytics, and processing tools, and collaborate with Vizient Technology staff to implement enhancements. Collaborate with leaders and clinicians to build analytics and informatics acumen across the organization. Communicate findings from exploratory and predictive data analysis to administrative and clinical leaders for specific projects. Leverage machine learning, natural language processing, or other statistical approaches to create, trouble shoot, and implement single platform solutions. Demonstrate functionally diverse utilization of relevant core programming tools with R, Python, and SQL. Apply task-specific mindset to address data science insights, breaking down aspects of solutions to define scope and make decisions supporting data science projects Create clear, concise, and organized communication materials including policies and procedures, guidelines, presentations, and messages. Use advanced analytical models and tools to analyze and understand big data sets. Identify and logically structure key issues and findings. Qualifications: Advanced degree preferred in applied math, statistics, computer science, econometrics, or related field. 5 or more years of experience managing large disparate data sets and using quantitative and qualitative analysis to draw meaningful and valid insights required. 3 or more years of programming experience using Python and R required. Expertise managing and analyzing large payer-sourced and provider-sourced claims data required. Knowledge of encounter and care delivery logics, geospatial logic and proxies, and payment methodologies required. Experience effectively communicating and presenting data to a variety of audiences required. Experience in developing, implementing, and validating synthetic datasets for analysis. Familiar with cloud computing environments, such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform highly preferred. Familiar with health interoperability data standards such as HL7 and FHIR highly preferred. Experience working with health care administrative claims data or electronic medical record data tools highly preferred. Experience with MS SQL and with APIs preferred. Estimated Hiring Range: At Vizient, we consider skills, experience, and organizational needs in our compensation approach. Geographic factors may adjust the range estimate and hires typically fall below the top range. Compensation decisions are tailored to individual circumstances. The current salary range for this role is $102,400.00 to $179,000.00. This position is also incentive eligible. Vizient has a comprehensive benefits plan! Please view our benefits here: ****************************************** Equal Opportunity Employer: Females/Minorities/Veterans/Individuals with Disabilities The Company is committed to equal employment opportunity to all employees and applicants without regard to race, religion, color, gender identity, ethnicity, age, national origin, sexual orientation, disability status, veteran status or any other category protected by applicable law.

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About Tendo Make an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job Location Tendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations. Responsibilities * Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. * Develop custom data models and algorithms to apply to data sets. * Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. * Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. * Develop analytic data sets and use statistical software to analyze data sets as requested. * Use third party software tools in the development of queries and visualizations. * Coordinate with different functional teams to implement models and monitor outcomes. Requirements * Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. * Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. * 5+ years of experience in data analysis software, with data science experience preferred. * 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. * Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. * Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. * Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. * Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. * Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. * Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. * Strong problem-solving skills with an emphasis on data analytics. * Excellent written and verbal communication skills for coordinating across teams. Nice to Have * Experience in the healthcare setting preferred. * Experience with Epic EMR data preferred, but not required. * Experience with healthcare financials/claims preferred, but not required. Base Salary Range $110,500-$149,500 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. Benefits For full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program ("Breathe"). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

The Senior Data Scientist will support Tendo analytics projects focused on quality management and risk adjustment. The person in this role will access data from multiple sources (public and private) and translate it into information that is meaningful and actionable for health systems. The Senior Data Scientist develops, maintains, and enhances predictive models that improve products in several areas including, but not limited to quality, risk, and operational efficiency. We're looking for someone who brings an AI-native mindset, has hands-on experience applying AI or machine learning to real-world problems, and is passionate about exploring how emerging AI capabilities can improve healthcare delivery and outcomes. In addition, the Senior Data Scientist will also have the opportunity to ask novel, data-driven questions and drive new analyses. About TendoMake an impact-join our team! We're a fast-growing, mission-driven company building a culture that enables teams and individuals to thrive. Our team-driven culture and rapid growth have earned us recognition as one of Forbes' Top Startup Employers for both 2024 and 2025. Led by an experienced and proven team, we live by our values and are always on the hunt for motivated people with diverse experiences and backgrounds to help us improve the care journey for patients, clinicians, and caregivers by creating software that provides seamless, intuitive, and user-friendly experiences. If you like working with innovative technologies and want to be part of a growing team that will help transform the healthcare experience, we encourage you to apply today! Job LocationTendo has hubs in San Francisco, CA; San Diego, CA; Salt Lake City, UT; Chicago, IL; Nashville, TN; and Philadelphia, PA. Candidates may be located in any one of our hub locations.Responsibilities Analyze data from multiple databases to drive optimization and improvement of quality outcomes, resource utilization, and risk adjustment. Develop custom data models and algorithms to apply to data sets. Use predictive modeling to increase and optimize patient outcomes, patient experiences, risk adjustment opportunities, and other business outcomes. Explore and experiment with emerging AI technologies to evaluate their applicability in solving healthcare problems and improving operational workflows. Develop analytic data sets and use statistical software to analyze data sets as requested. Use third party software tools in the development of queries and visualizations. Coordinate with different functional teams to implement models and monitor outcomes. Requirements Bachelor's degree in data science, statistics, epidemiology, engineering, information science, computer science, OR equivalent technical experience. Hands-on experience writing Python code including, but not limited to, machine learning, data science and engineering, and ETL pipelines. 5+ years of experience in data analysis software, with data science experience preferred. 5+ years of experience with GitHub/Git, Python, SQL, statistics, and ML modeling. Track record of applying AI or ML models to solve practical, real-world problems-ideally in healthcare or similar complex domains. Knowledge of statistical concepts and data mining methods such as: Hypothesis testing (or A/B testing), distribution analysis, Bayesian estimation, Linear and Logistic Regression, GLMs, text mining, time series analysis, etc. Knowledge of a variety of traditional machine learning techniques such as: feature engineering methods for large scale numerical and categorical data, dimensionality reduction, clustering, Decision Trees/Random Forests/Gradient Boosted Decision Trees, Deep Learning. Knowledge of machine learning implementation strategies such as: proper and thorough evaluation of ML models in production, detecting data/covariate/concept drift, leveraging feature stores and model registries, deploying models as REST APIs, integrating models into products, etc. Interest in staying current on AI advancements (e.g., generative AI, LLMs, foundation models), and enthusiasm for integrating new capabilities into analytical workflows. Demonstrated proficiency in writing SQL queries on large, complex datasets for data analysis and analytics engineering. Strong problem-solving skills with an emphasis on data analytics. Excellent written and verbal communication skills for coordinating across teams. Nice to Have Experience in the healthcare setting preferred. Experience with Epic EMR data preferred, but not required. Experience with healthcare financials/claims preferred, but not required. Base Salary Range$110,500-$149,500 This salary range is offered with the understanding that final compensation is based on a number of factors including geography and experience. Tendo also offers an equity package, annual bonuses, and benefits. BenefitsFor full time employees, Tendo also offers full health benefits (medical, dental, and vision), flexible spending and health savings accounts, company paid life insurance, company paid short-term and long-term disability, company equity, voluntary benefits, 401(k), company paid holidays, flexible time off, and an employee wellness program (“Breathe”). Tendo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

Chamberlain Group (CG) is a global leader in intelligent access and Blackstone portfolio company. Powered by our myQ technology, we make access simple and secure for millions of homeowners, businesses, and communities worldwide. Our flagship brands, LiftMaster and Chamberlain , are found in 51+ million homes, and 14 million+ people rely on the myQ app daily. Job Summary This hands-on role is responsible for working closely with business partners to identify opportunities where the application of innovative data science techniques and methods can dramatically advance Chamberlain Group's business objectives. You will transform these priority opportunities into incremental business value by leading, managing, and coaching data scientists in the design, development, and deployment of solutions to support Chamberlain Group's transformation and rapid growth. This high visibility role works directly with senior leaders and has a tangible impact on the business. Essential Duties and Responsibilities Build relationships with business leaders and truly understand their strategy, key initiatives, and KPIs for success such that you have shared ownership for reaching their goals. Lead, manage, and coach highly technical data scientists, including identifying, recruiting, and onboarding new talent. Drive development and execution of the data science methodology and practices strategy. Lead technical engagements with business unit and function stakeholders, as well as senior leaders. Be a catalyst for advanced analytics and data science across Chamberlain Group. Educate business users on advanced analytical concepts. Work with various teams to drive the adoption of insights, models, and other output and the realization of incremental impact. Identify and apply innovative analytical techniques to achieve business objectives. Lead and directly engage in the design, development, and deployment of advanced analytics models and solutions, including predictive and prescriptive outputs, to enable business partners to make better data-driven decisions. Identify and manage the relationship with outside data science resources and vendors. Comply with health and safety guidelines and rules; managers should also ensure compliance across their teams. Protect Chamberlain Group's reputation by keeping information confidential. Maintain professional and technical knowledge by attending educational workshops, reading professional publications, establishing personal networks, and participating in professional societies. Contribute to the team effort by accomplishing related results and participating on projects as needed. Supervision Exercised Motivate and lead a high performance team by attracting, developing, engaging and retaining team members Drive the performance management and compensation processes by communicating job expectations, monitoring and evaluating performance, providing feedback and facilitating employee development per the company's policies Maintain transparent communication by appropriately communicating organization information to team through department meetings, one-on-one meetings, appropriate email, IM and regular interpersonal communications Lead and motivate individuals and teams to create a workplace culture that is consistent with the CG mission, vision and values. Minimum Qualifications Education/Certifications: Master's Degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: 8+ years of relevant work experience; 2+ years directly managing data scientist Knowledge, Skills, and Abilities: Expert knowledge of statistics and advanced analytical and machine learning techniques, including forecasting, predictive modeling, network and cluster analysis Demonstrated aptitude distilling complex business problems into clear data science and advanced analytics models and solutions that can and will be adopted and implemented Ability to drive teams to success; ability to drive change and influence peers, leaders, collaborators, and individual contributors Expertise directing, developing, and applying machine learning algorithms Exceptional problem solving / analytical thinking skills Outstanding communication skills, teamwork and collaboration, and attention to detail Advanced expertise in Python, R, SQL Experience working with data science tools (e.g., Databricks); distributed compute; manipulating, analyzing, and interpreting large-scale data; and scaling analytics in the cloud (e.g., Azure) Other: Preferred Qualifications Education/Certifications: Doctorate degree in data science, statistics, mathematics, econometrics, engineering, or other quantitative field of study Experience: Experience leading end-to-end data science project implementations working with Agile methodologies Experience in analytical consulting roles #LI-JM2 #LI-Hybrid The pay range for this position is $123,600.00 - $216,150.00; base pay offered may vary depending on a number of factors including, but not limited to, the position offered, location, education, training, and/or experience. In addition to base pay, also offered is a comprehensive benefits package and 401k contribution (all benefits are subject to eligibility requirements). This position is eligible for participation in a short-term incentive plan subject to the terms of the applicable plans and policies. Chamberlain Group wants all of its employees to succeed and encourages people of all backgrounds to apply. We're proud to be an Equal Opportunity Employer, and you'll be considered for this role regardless of race, color, religion, sex, national origin, age, sexual orientation, ancestry; marital, disabled or veteran status. We're committed to fostering an environment where people of all lived experiences feel welcome. Persons with disabilities who anticipate needing accommodations for any part of the application process may contact, in confidence **************************. NOTE: Staffing agencies, headhunters, recruiters, and/or placement agencies, please do not contact our hiring managers directly.

About the role: The Senior Data Scientist will bring rigor to strategic initiatives across the Support Organization. As a Senior Data Scientist, you will be a core technical contributor to our Data Science and Analytics team with deep expertise in driving data-driven decision-making, data querying/munging, data visualization, and predictive analytics. You will work closely with Support, Product, and technical teams to translate business questions into quantitative analysis and deliver data-driven strategies. This role is open to candidates residing in the US except the San Francisco Bay Area (125 mi. radius from 1 De Haro St, San Francisco) and NYC Metro Area (50 mi. radius from 131 W 55th St, New York). You should apply if: You want to impact the industries that run our world: The software, firmware, and hardware you build will result in real-world impact-helping to keep the lights on, get food into grocery stores, and most importantly, ensure workers return home safely. You want to build for scale: With over 2.3 million IoT devices deployed to our global customers, you will work on a range of new and mature technologies driving scalable innovation for customers across industries driving the world's physical operations. You are a life-long learner: We have ambitious goals. Every Samsarian has a growth mindset as we work with a wide range of technologies, challenges, and customers that push us to learn on the go. You believe customers are more than a number: Samsara engineers enjoy a rare closeness to the end user and you will have the opportunity to participate in customer interviews, collaborate with customer success and product managers, and use metrics to ensure our work is translating into better customer outcomes. You are a team player: Working on our Samsara Engineering teams requires a mix of independent effort and collaboration. Motivated by our mission, we're all racing toward our connected operations vision, and we intend to win-together. In this role, you will: Translate data into strategic insights via memos, presentations, dashboards, etc. to support decision-making for operational and leadership teams Building analytical models to identify patterns, anomalies, and root causes (e.g., analyzing ticket data to proactively identify common customer issues) Design and run A/B and other experiments and tests to evaluate AI solutions Build relationships with technical and non-technical stakeholders to understand data structures and business priorities Leverage SQL, Python/R to shape and analyze data Build a strong sense of product and data acumen (e.g. customer experience, data logging) Stay connected to industry and academic research and adopt novel technology that suits Samsara's needs Champion, role model, and embed Samsara's cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices Minimum requirements for the role: Advance degree in Statistics or other quantitative field (e.g., Applied Math, Engineering, Computer Science, Physics, etc.) 8+ years experience in a data-related role relevant (data science, data analyst, business analytics, business intelligence) Proficiency in data manipulation and processing in SQL, Python, and/or R Experience building statistical and other analytical models, preferably in Python or R Ability to communicate trends and learnings via data visualizations including Tableau Ability to effectively share project statuses and take ownership of tasks while handling competing priorities Ability to distill informal or ambiguous customer and business requirements into crisp problem definitions Proven ability to communicate verbally and in writing to technical peers and leadership teams with various levels of technical knowledge Curious about our data, our product and excited to have an impact An ideal candidate also has: PhD in Statistics or other quantitative field Ability to scale models into automated pipelines A strong track record of cross-functional partnership Record of successful mentoring and development of team members Experience working with large datasets using distributed computing (e.g., Spark, Hive)

Cardiosense is a rapidly growing, venture-backed medical AI company that is redefining how we detect, monitor, and manage heart disease. We're developing novel wearable sensors and advanced machine learning algorithms that translate raw physiological signals into clinically actionable, digital biomarkers used to detect early signs of cardiac worsening, guide personalized therapy, and improve patient outcomes. Our team brings together experts in data science, biosignal analysis, and medicine united by a common mission to identify and combat preventable cardiac disease. Cardiosense's solutions are built on over a decade of clinical research and we continue to collaborate with the world's leading academic institutions to introduce the next generation of cardiac monitoring and disease management. We are seeking a highly experienced Senior Data Scientist to lead complex projects, mentor junior team members, and develop cutting-edge machine learning models and analytics tools. The ideal candidate will have a proven track record of solving high-impact business problems using data-driven methodologies and be passionate about advancing our organization's data capabilities.KEY RESPONSIBILITIES Data Strategy Collaborate with cross-functional teams to identify opportunities for leveraging company data to drive business solutions. Collaborate with clinical teams and external vendors to facilitate data collection. Model Development & Deployment Design, develop, and deploy scalable machine learning models and advanced analytics. Apply digital signal processing techniques to physiological waveforms (PPG, ECG, SCG, etc.) and build novel machine learning algorithms for hemodynamic assessment. Optimize existing algorithms and pipelines to improve efficiency and performance. Own the end-to-end lifecycle of models, from research and prototyping to production and monitoring. Advanced Analytics Perform exploratory data analysis to extract actionable insights. Develop predictive, prescriptive, and descriptive analytics to inform decision-making. Work with structured and unstructured data to uncover trends and patterns. Data Infrastructure & Tools Partner with data engineering teams to ensure the availability of robust data pipelines. Recommend and implement data tools, frameworks, and platforms to enhance workflows. Stakeholder Engagement Communicate complex findings and recommendations to technical and non-technical stakeholders. Translate business objectives into data science tasks and projects. QUALIFICATIONS Education Master's or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or related field. Experience 3+ years of professional experience in data science or machine learning roles. Demonstrated experience leading data science projects or teams. Technical Skills Expertise in programming languages such as Python, R, or Scala. Strong proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with big data tools (e.g., Spark, Hadoop) and cloud platforms (AWS, Azure, GCP). Soft Skills Strong analytical thinking and problem-solving abilities. Excellent communication and presentation skills. Proven ability to influence cross-functional teams and stakeholders PREFERRED QUALIFICATIONS Industry experience in healthcare or medical device environment. Familiarity with MLOps and automated pipelines. Cardiosense is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, religion, disability status, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Established in 2021, Independence Pet Holdings is a corporate holding company that manages a diverse and broad portfolio of modern pet health brands and services, including insurance, pet education, lost recovery services, and more throughout North America. We believe pet insurance is more than a financial product and build solutions to simplify the pet parenting journey and help improve the well-being of pets. As a leading authority in the pet category, we operate with a full stack of resources, capital, and services to support pet parents. Our multi-brand and omni-channel approach include our own insurance carrier, insurance brands and partner brands. Independence American Insurance Company (IAIC), a subsidiary of IPH, has over 50 years of underwriting experience and a history of innovation in the pet insurance industry. IAIC has built a reputation as a trusted and dependable partner. We are a pet-focused underwriter with deep insurance industry experience, offering a product with proven consumer appeal. Responsibilities Design and implement data pipelines for collecting, processing, and integrating structured and unstructured data from multiple sources, including internal databases and external data providers. Perform root cause analysis and utilize complex SQL queries to investigate data issues such as data inconsistencies, missing data, and errors. Collaborate with data engineers, data analysts, and other stakeholders as needed. Ensure data accuracy and integrity by conducting data audits and creating reconciliation processes. Database management, including data cleansing, formatting, banding, pre-analysis and integration of data. Conduct exploratory data analysis to understand the relationship between data elements and insurance processes such as pricing, conversion, and retention. Develop rating plans using predictive models to optimize risk segmentation across a portfolio of products while balancing strengths and weaknesses of each model to the subject product. Use advanced statistical techniques to identify key drivers of sales and retention and create/maintain models to forecast expected results. Create and maintain dashboard visualizations in Power BI and Radar to monitor key metrics such as rate levels, risk segmentation, and retention. Collaborate with stakeholders across the company and communicate findings and recommendations to technical and non-technical audiences through reports, presentations, and visualizations. Stay abreast of industry trends, emerging technologies, and best practices in data science and actuarial science to drive continuous improvement and innovation. Establish best practices across the data science workflow, including but not limited to data preparation, modeling, and documentation. Serve as the data science subject matter expert and enrich predictive modeling knowledge and functional capabilities across the actuarial department. Qualifications Bachelor's degree in Data Science, Statistics, Mathematics, Actuarial Science, or a related field with relevant work experience. Otherwise, Master's degree or higher preferred. 5+ years of experience in a data science role, preferable in the insurance industry (P&C or A&H). Proficiency in programming languages such as Python, R, or SQL, with experience in data manipulation and statistical analysis. Experience with SQL Server and/or Snowflake/Databricks. Familiarity with data warehousing concepts and tools. Experience with WTW's Radar suite, including Radar Base and Emblem or Earnix. Experience using data visualization tools (Tableau, Power BI, or similar) Solid understanding of statistical techniques including GLMs, with the ability to build models and interpret results. Familiarity with a broad range of statistical techniques, such as regression modeling, Monte Carlo simulation, GLMs, mixed effects models, gradient boosting, random forests, neural networks, ensemble modeling and time series forecasting. Strong oral and written communication skills. Ability to work efficiently on multiple projects with strong prioritization skills. Ability to work independently and as part of a cross-functional team in a fast-paced environment. Excellent problem-solving skills, critical thinking abilities, and attention to detail. All of our jobs come with great benefits including healthcare, parental leave and opportunities for career advancements. Some offerings are dependent upon the location of where you work and can include the following: Comprehensive full medical, dental and vision Insurance Basic Life Insurance at no cost to the employee Company paid short-term and long-term disability 12 weeks of 100% paid Parental Leave Health Savings Account (HSA) Flexible Spending Accounts (FSA) Retirement savings plan Personal Paid Time Off Paid holidays and company-wide Wellness Day off Paid time off to volunteer at nonprofit organizations Pet friendly office environment Commuter Benefits Group Pet Insurance On the job training and skills development Employee Assistance Program (EAP)

EDGE (****************** is a B2B fintech on a mission to expand credit access for consumers historically unserved and underserved by the reports and scores of traditional credit bureaus. We're doing this with risk analytics based on complementary alternative data that reveals a more complete financial picture. Founded in 2021, Edge is part of a larger family of fintech brands underneath our parent company, NinjaHoldings (********************** NinjaHoldings' brands include CreditNinja, a nationwide online consumer lending business established in 2017, and NinjaCard, a neobanking platform focused on consumers in the emerging credit space. The EDGE business is at an inflection point where we've proven our platform's value with early adopters, and we're ready to go full-throttle into our target markets. Elevating every aspect of our marketing efforts is critical in this planned ramp-up. Job Summary We're looking for a Senior Data Scientist with the initiative and technical depth to not only propose ideas-but build them. You should be someone who thrives on ownership: hypothesizing features and improvements, prototyping them end-to-end, validating them with real data, and partnering with engineers to scale them in production. This role sits at the intersection of data science, product thinking, and engineering. You will lead the design of analytics-driven features and systems that directly shape our products and impact real-world outcomes. Key Responsibilities: Analytics Product End-to-End Development Formulate and test hypotheses for new features, scoring improvements, and system enhancements Rapidly prototype models and data workflows to validate ideas Partner with engineering to scale successful prototypes into robust, production-grade systems Modeling & Research Design and train ML models for credit risk, fraud, and other fintech use cases Perform deep dives and exploratory analysis to uncover actionable insights and drive product improvements Define and develop meaningful feature sets using structured and semi-structured data Analytics Engineering Collaborate with engineering to build and maintain gRPC/RESTful services to serve models and analytics Operate in a modern containerized environment using Docker and Kubernetes Work with AWS infrastructure (EKS, S3, RDS) to deploy and monitor solutions Collaboration & Technical Leadership Collaborate cross-functionally with product, engineering, and risk Provide technical mentorship and contribute to standards and best practices Participate in architectural decisions and roadmap planning Ideal Candidate Will Have: Experience in consumer lending, credit risk modeling, or financial services 4+ years of experience in data science, analytics engineering, or backend ML systems Advanced proficiency in Python, including libraries like Pandas, NumPy, and scikit-learn Strong SQL skills and deep familiarity with relational databases (PostgreSQL or similar) Experience with model lifecycle: from prototyping to validation to deployment Comfort working with cloud-native infrastructure (Docker, Kubernetes, AWS) Experience building APIs (gRPC and/or REST) for real-time model inference or data delivery A strong sense of ownership and a bias for action-if you see a problem, you solve it Additional Pluses: Familiarity with real-time decision systems and model serving Benefits: Competitive salary and benefits package Fun, fast-paced work environment Dynamic start-up culture Ability to make an immediate impact in a growth stage company Convenient downtown Chicago office located in the heart of the city Equal opportunity employer Applicants must be legally authorized to work in the U.S. without the need for current or future visa sponsorship. IMPORTANT NOTICE: Please carefully review communications to ensure that they are from the official Breezy applicant tracking platform (@ninjaholdings.breezy-mail.com) or an official NinjaHoldings brand email: @ninjaholdings.com, @creditninja.com, @ninjacard.com, *****************. If you have been contacted regarding a job opening at NinjaHoldings from any other email address, including similar email variations, this is NOT a trusted source. We recommend that you refrain from responding to suspicious emails and file a complaint with the FBI's Internet Crime Complaint Center (IC3) at ******************** For questions or to confirm the authenticity of a communication, please email *********************.

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

What's the role? HERE is searching for a Lead Data Scientist for our Foundation Engineering team. Foundation Engineering enables the creation of mapping products that are highly available, performant, and near real-time. The team analyze LiDAR data to optimize the detection and positioning of observations, features, and the collection vehicles observed path, We constantly monitor and improve our production processes to support industry leading autonomous vehicle map maintenance and expansion. We develop algorithms and software to process data from our Here True collection vehicles, We used modern Machine Learning techniques to detect observations from the collected data and This leverages world class data sets collected for more than a decade. The job includes creating inovative AI solutions for highly accurate HD map products supporting the worlds leaders in autonomous driving. This includes leveraging the lastest AI technology to build the map foundation from a world wide collection of LiDAR and Imagery data. As our team is spread around the globe, you will work collaboratively with other team members from different locations. Applying latest 3D foundation model research to advance the capabilities of autonoumous vehicles Create, design, and build efficient and scalable AI applications. Engage in collaborative efforts with cross-functional teams, developers, product managers, and stakeholders to establish requirements and deliver high quality solutions. Participate in multiple stages of the development lifecycle, commencing from ideation, Ai development, testing, all the way through to release. Detect and resolve intricate problems through troubleshooting and debugging, pinpointing underlying causes and enacting effective remedies. Keep current with the latest trends and advancements in research, seamlessly incorporating pertinent technologies and frameworks into ongoing projects. Continuously refine development processes and methodologies to amplify team efficiency and productivity. Who are you? Bachelor's degree in engineering OR MSc/MS in Mathematics/Computer Science, Machine learning and AI or related quantitative years of experience. Candidates with PhD in related fields may have one/two years of experience. • Experience with Deep Learning, Incremental Learning, Generative AI, and Foundation Models • Excellent applied skills in Python programming. • Experience with Algorithms, Data Structures, multi-threading, multi-processing, concurrency. • Experience with Image Processing, Point Cloud Processing, and Autonomous Perception Systems is a plus • Experience with Cloud Technologies, Containers, and Kubernetes Deployments is a plus The expected base salary range for this position is $123,900 to $177,000 per year. Actual compensation will be based on factors such as skills and experience. This position is also eligible for a target annual performance bonus, which is subject to company and individual performance. Life at HERE comes with generous benefits to support your health and overall wellness. Benefits available to US-based HERE employees include health (Medical/Dental/Vision) insurance, retirement savings plans, paid time off & leave policies. Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, HERE will consider for employment qualified applicants with arrest and conviction records. HERE is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, age, gender identity, sexual orientation, marital status, parental status, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Under Section 503 of the Rehabilitation Act of 1973 and VEVRAA, we have developed an affirmative action program (AAP) for individuals with disabilities and protected veterans. Portions of the AAP are available for review by applicants and employees through our People Team. #LI-AG3 Who are we? HERE Technologies is a location data and technology platform company. We empower our customers to achieve better outcomes - from helping a city manage its infrastructure or a business optimize its assets to guiding drivers to their destination safely. At HERE we take it upon ourselves to be the change we wish to see. We create solutions that fuel innovation, provide opportunity and foster inclusion to improve people's lives. If you are inspired by an open world and driven to create positive change, join us. Learn more about us on our YouTube Channel.

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

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: Chicago,IL $137,750.00-$235,000.00; Jersey City,NJ $164,350.00-$260,000.00 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.

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. 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 remote role on first shift. 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