Data scientist jobs in Gary, IN

The Senior Data Scientist, Clinical Data Science (HOS & HRA) plays a key role in advancing analytics that improve Medicare Advantage member outcomes and CMS Star Ratings performance. This position supports the design, implementation, and automation of analytic solutions for the Health Outcomes Survey (HOS) and Health Risk Assessment (HRA) programs-two core domains in Aetna's Medicare clinical strategy. The ideal candidate combines strong technical depth in data science and statistical modeling with the ability to translate complex findings into actionable insights for non-technical audiences. This individual will automate recurring data science workflows, conduct robust impact and descriptive analyses, and collaborate closely with clinical, quality, and operations teams to identify emerging opportunities that improve member experience and population health outcomes. Clinical Data Science & Analytics Lead the development of analytic models and descriptive frameworks supporting HOS and HRA performance improvement across Medicare Advantage. Conduct impact analyses, trend identification, and segmentation to explain drivers of performance and inform strategy. Automate recurring analytics and reporting pipelines to increase reliability, efficiency, and reproducibility of insights. Apply advanced statistical, predictive, and causal inference methods to evaluate intervention effectiveness and identify member-level opportunities. Develop and refine tools for data visualization and storytelling to communicate results clearly to non-technical stakeholders. Partner with business leaders to translate analytic results into actionable recommendations for program design, member outreach, and care interventions. Collaboration & Consultation Serve as a bridge between technical and non-technical teams, ensuring analytic outputs are interpretable and actionable. Collaborate cross-functionally with Clinical Operations, Member Experience, and Quality teams to align analytics with enterprise goals. Support enterprise data modernization and automation initiatives by identifying repeatable use cases for scalable analytics and workflow improvement. Mentor junior data scientists and analysts on best practices for data integrity, modeling, and automation. Technical & Operational Excellence Design and maintain automated analytic processes leveraging Python, SQL, and modern cloud environments (e.g., GCP). Ensure accuracy, consistency, and explainability of models and metrics through disciplined version control and validation. Contribute to the team's continuous improvement culture by recommending new methods, tools, or data sources that enhance analytic precision and speed. Required Skills & Experience 5+ years of hands-on experience in data science, advanced analytics, or statistical modeling in healthcare, life sciences, or managed care. Strong proficiency in Python, SQL, and data science libraries (e.g., pandas, scikit-learn, statsmodels). Demonstrated ability to automate data workflows and standardize recurring analyses or reporting. Experience applying statistical and descriptive analytics to clinical or quality measurement problems (e.g., HOS, HRA, CAHPS, or HEDIS). Proven success communicating complex findings to non-technical business partners and influencing decision-making. Ability to work effectively in a fast-paced, cross-functional environment. Nice to Have Skills & Experience Master's or PhD in Data Science, Statistics, Epidemiology, Public Health, or a related quantitative field. Familiarity with Medicare Advantage, CMS Star Ratings methodology, and clinical quality measures. Experience working within modern cloud environments (e.g., Google Cloud Platform, Databricks) and with workflow orchestration tools (Airflow, dbt). Background in impact measurement, causal inference, or time-series analysis in healthcare contexts.

# Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - **Statistical Failure Analysis**: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - **Root Cause Analysis**: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - **Dimension Analysis**: Analyze performance variations across finance sub-domains, file types, and task categories - **Reporting & Visualization**: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - **Quality Framework**: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - **Stakeholder Communication**: Present insights to data labeling experts and technical teams ## Required Qualifications - **Statistical Expertise**: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - **Programming**: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - **Data Analysis**: Experience with exploratory data analysis and creating actionable insights from complex datasets - **AI/ML Familiarity**: Understanding of LLM evaluation methods and quality metrics - **Tools**: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

Data Engineer - Build the Data Engine Behind AI Execution - Starting Salary $150,000 You'll be part architect, part systems designer, part execution partner - someone who thrives at the intersection of engineering precision, scalability, and impact. As the builder behind the AI data platform, you'll turn raw, fragmented data into powerful, reliable systems that feed intelligent products. You'll shape how data flows, how it scales, and how it powers decision-making across AI, analytics, and product teams. Your work won't be behind the scenes - it will be the foundation of everything we build. You'll be joining a company built for builders. Our model combines AI consulting, venture building, and company creation into one execution flywheel. Here, you won't just build data pipelines - you'll build the platforms that power real products and real companies. You know that feeling when a data system scales cleanly under real-world pressure, when latency drops below target, when complexity turns into clarity - and everything just flows? That's exactly what you'll build here. Ready to engineer the platform that powers AI execution? Let's talk. No up-to-date resume required.

Scaylor helps mid-market and enterprise companies make sense of their data. Most teams past $20M ARR are stuck with fragmented systems, old databases, and hundreds of spreadsheets that never quite line up. We build the pipelines that clean, normalize, and connect that data so it can actually be used. Our platform handles everything from parsing financial models and reports to mapping tables across legacy databases and modern APIs. The goal is simple: give companies a single source of truth they can trust. We're a small team of four - one backend engineer, one frontend engineer, and 2 founders. We're looking for our fifth teammate to help us scale the engine behind it all. ⸻ The Role You'll work across data engineering and full-stack development, helping us build reliable data infrastructure that powers real workflows. You'll touch everything from ingestion and transformation pipelines to the APIs and dashboards that surface insights to clients. You'll work directly with the founding team and help make technical decisions that define the next version of Scaylor's core platform. ⸻ What You'll Work On • Build data pipelines that extract, clean, and standardize information from Excel files, PDFs, APIs, and legacy databases • Design schemas and transformation logic for structured and semi-structured data • Develop and maintain backend APIs (Python/FastAPI or Node/Express) for data access and analytics • Help connect backend services to our frontend dashboards (React, Node.js, or similar) • Set up and maintain AWS infrastructure (Lambda, S3, ECS, CloudFormation) • Collaborate with clients to understand their data problems and design workflows that fix them ⸻ You'd Be Great Here If You • Have 3-6 years of experience in data engineering, backend, or full-stack roles • Write clean, maintainable code in Python + JS • Understand ETL, data normalization, and schema mapping • Have experience with SQL and working with legacy databases or systems • Are comfortable managing cloud services and debugging data pipelines • Enjoy solving messy data problems and care about building things that last ⸻ Nice to Have • Familiarity with GCP or SQL databases • Understanding of enterprise data flows (ERP, CRM, or financial systems) • Experience building and deploying containers (Docker, GitHub Actions, CI/CD) • Interest in lightweight ML or LLM-assisted data transformation ⸻ Why Join Scaylor • Be one of the first five team members shaping the product and the company • Work directly with the founder and help define Scaylor's technical direction • Build infrastructure that solves real problems for real companies • Earn meaningful equity and have a say in how the company grows ⸻ Compensation • $130k - $150k with a raise based on set revenue triggers • .4% equity • Relocation to Chicago, IL required

Job Title: Data Engineer - Workflow Automation Employment Type: Contract to Hire or Full-Time Department: Project Scion / Information Management Solutions Key Responsibilities: Design, build, and manage workflows using Automic or experience with similar tools like Autosys, Apache Airflow, or Cybermation. workflow orchestration across multi-cloud ecosystems (AWS, Azure, Snowflake, Databricks, Redshift). Monitor and troubleshoot workflow execution, ensuring high availability, reliability, and performance. Administer and maintain workflow platforms. Collaborate with architecture and infrastructure teams to align workflows with cloud strategies. Support migrations, upgrades, and workflow optimization efforts Required Skills: Has 5+ years of experience in IT managing production grade system Hands-on experience with Automic or similar enterprise workflow automation tools. Strong analytical and problem-solving skills. Good communication and documenting skills. Familiarity with cloud platforms and technologies (e.g., AWS, Azure, Snowflake, Databricks). Scripting proficiency (e.g., Shell, Python). Ability to manage workflows across hybrid environments and optimize performance. Experience managing production operations & support activities Preferred Skills: Experience with CI/CD pipeline integration. Knowledge of cloud-native orchestration tools Exposure to monitoring and alerting systems.

Job Title :: GCP Data Engineer Duration :: 6 months Contract to hire or complete Full time. Responsibilities • Work closely with various business, IT, Analyst and Data Science groups to collect business requirements. • Design, develop, deploy and support high performance data pipelines both inbound and outbound. • Model data platform by applying the business logic and building objects in the semantic layer of the data platform. • Optimize data pipelines for performance, scalability, and reliability. • Implement CI/CD pipelines to ensure continuous deployment and delivery of our data products. • Ensure quality of critical data elements, prepare data quality remediation plans and collaborate with business and system owners to fix the quality issues at its root. • Document the design and support strategy of the data pipelines • Capture, store and socialize data lineage and operational metadata • Troubleshoot and resolve data engineering issues as they arise. • Develop REST APIs to expose data to other teams within the company. • Mentor and guide junior data engineers. Education • Required - Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field • Nice to Have - Master's Degree in Computer Science, Computer Engineering, Software Engineering, or other related technical field Work Experience • Minimum 6 years of experience in data engineering solutions such as data platforms, ingestion, data management, or publication/analytics • 2 years of experience in Google cloud with services like BigQuery, Composer, GCS, DataStream, Dataflows Knowledge, Skills and Abilities • Expert knowledge on SQL and Python programming • Experience working with Airflow as workflow management tools and build operators to connect, extract and ingest data as needed. • Experience in tuning queries for performance and scalability • Experience in Real Time Data ingestion using GCP Pub Sub, Kafka, Spark or similar. • Excellent organizational, prioritization and analytical abilities • Have proven experience working in incremental execution through successful launches. • Excellent problem-solving and critical-thinking skills to recognize and comprehend complex data issues affecting the business environment. • Experience working in agile environment.

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

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

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.

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.

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

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

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.

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.

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

**1\. Role Overview**Mercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication - distinct from production ML engineering. **2\. Key Responsibilities** ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders **3\. Ideal Qualifications** ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights **4\. More About the Opportunity** ● Remote ● **Expected commitment: min 30 hours/week ● Project duration: ~6 weeks** **5\. Compensation & Contract Terms** ● $75-100/hour ● Paid weekly via Stripe Connect ● You'll be classified as an independent contractor **6\. Application Process** ● Submit your resume followed by domain expertise interview and short form **7.About Mercor** ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D'Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimize our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and dbt, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modeling best practices. Job Title: Architect / Senior Data Engineer Job location: Chicago or Michigan Key Responsibilities Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and dbt. Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs. Lead the modernization and migration of legacy data systems to cloud-native architectures. Define and enforce data engineering best practices including coding standards, CI/CD, testing, and monitoring. Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions. Optimize Snowflake performance through query tuning, warehouse sizing, and cost management. Establish and maintain data governance, security, and compliance standards across the data platform. Mentor and guide junior data engineers, providing technical leadership and direction. Required Skills & Qualifications 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment. Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM. Strong experience with Snowflake - data modeling, warehouse design, performance optimization, and cost governance. Proven experience with dbt (data build tool) - model development, documentation, and deployment automation. Proficient in SQL, Python, and ETL/ELT pipeline development. Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.). Familiarity with data governance and security best practices, including role-based access control and data masking. Strong understanding of data modeling techniques (Kimball, Data Vault, etc.) and data architecture principles. Preferred Qualifications AWS Certification (e.g., AWS Certified Data Analytics - Specialty, Solutions Architect). Strong communication and collaboration skills, with a track record of working in agile environments.

**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. 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 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.