Senior data scientist jobs in Cedar Rapids, IA - 798 jobs

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

Be a part of our success story Launch offers talented and motivated people the opportunity to do the best work of their lives in a dynamic and growing company. Through competitive salaries, outstanding benefits, internal advancement opportunities, and recognized community involvement, you will have the chance to create a career you can be proud of. Your new trajectory starts here at Launch! The Role Launch is actively seeking a visionary Technology Leader, Data Platform Engineering to architect and deliver enterprise data platforms while driving transformational outcomes for clients. This role combines deep technical expertise in modern data platforms with strategic consulting capabilities. You will lead implementations using Azure Fabric, Snowflake, and Databricks, leveraging AI-native development tools to accelerate delivery and maintain engineering rigor. Responsibilities Include Lead enterprise data platform transformations, architecting scalable solutions on Azure Fabric, Snowflake, and Databricks. Design modern data architectures supporting real-time analytics, ML workloads, and AI agent integration. Drive technical pre-sales including solution architecture, proposal development, and executive presentations. Implement AI-native development workflows using Claude Code, GitHub Copilot, and MCP servers. Establish engineering practices leveraging AI tools for pipeline development, testing automation, and intelligent data quality monitoring. Architect solutions using Azure Fabric, Snowflake, and Databricks with governance and compliance frameworks. Recruit and develop high-performing data engineers and architects. Mentor teams on effective use of AI development tools while reinforcing engineering fundamentals. Contribute to business development through active participation in sales cycles and strategic partnership development. Qualifications Must-Have 12+ years in enterprise data platform engineering, with 5+ years in consulting or client-facing delivery roles. Proven track record leading platform transformations with project budgets exceeding $10M. Strong executive presence and ability to influence C-suite stakeholders. Expert-level proficiency in Azure Fabric, Snowflake, and Databricks. Hands-on experience with AI-native development tools (Claude Code, MCP servers, GitHub Copilot). Proficiency in modern data stack: dbt Labs, Airflow, Kafka, vector databases, and real-time streaming. Strong programming skills in Python, SQL, and infrastructure-as-code (Terraform, Bicep). Nice-to-Have Certifications: Azure Solutions Architect Expert (AZ-305), SnowPro Advanced, Databricks Data Engineer Professional. Industry-specific certifications in financial services, healthcare, retail, or manufacturing. Compensation & Benefits As an employee at Launch, you will grow your skills and experience through a variety of exciting project work (across industries and technologies) with some of the top companies in the world! Our employees receive full benefits-medical, dental, vision, short-term disability, long-term disability, life insurance, and matched 401k. We also have an uncapped, take-what-you-need PTO policy. The anticipated base wage range for this role is $220,000 - $245,000. Education and experience will be highly considered, and we are happy to discuss your wage expectations in more detail throughout our internal interview process.

Johnston, IA - candidate living within 50-mile radius of location required onsite T/W/TH each week. Project Scope and Brief Description: Work at the intersection of plant cell biology and applied AI to build, productionize, and maintain computer vision pipelines that accelerate Doubled Haploid (DH) breeding in Biotechnology. The contractor will contribute to end‑to‑end imaging and analytics-from microscopy microspore detection to macroscopic structure assessment and plantlet characterization-supporting decisions that reduce cycle time and cost in DH programs. Solutions will be developed primarily in Python, integrated with our repositories and workflow tooling, and aligned with Biotech strategy initiatives. Responsibilities: Design & deliver deep learning-based CV models for microscopy and macroscopic assays (detection, segmentation, classification) with measurable accuracy, robustness, and throughput. Build production‑ready pipelines in Python (data ingest, preprocessing, augmentation, inference, batch processing), integrated with GitLab repos and experiment tracking; ensure reproducibility and documentation. Implement hyperspectral analysis workflows (band selection, normalization, feature extraction, model training). Harmonize imaging acquisition with analysis by collaborating with biology teams to standardize microscopy/RGB/hyperspectral capture and file formats (e.g., FIJI/ImageJ for z‑stacks; autoscale practices). Quantify model performance (precision/recall, F1, ROC/AUC, calibration) and write clear reports/posters for DH sessions; support fact‑checking in presentations. Operationalize at scale: batch processing of tens of thousands of structures/images; optimize inference (e.g., torch.compile, mixed precision) and monitor resource usage. Partner with DH stakeholders (biotech & breeding, Genome Technology Discovery, Data Science) to align deliverables with deployment milestones. Maintain IP & data stewardship practices consistent with internal strategy; avoid disclosure of confidential protocols while enabling model re‑use. Skills / Experience: Must‑Have 4-6 years hands‑on in computer vision with Python (PyTorch/TensorFlow), including detection/segmentation/classification for scientific or industrial imaging. Proven ability to productionize models: Git/GitLab, code reviews, CICD basics, experiment tracking (MLFlow or equivalent), reproducible data/experiments, and clear documentation. Experience with microscopy image processing, multi‑page TIFFs, z‑stacks, autoscale/normalization, and image quality challenges. Familiarity with hyperspectral or multispectral imaging pipelines (preprocessing, dimensionality reduction, modeling) applied to plant or biological materials. Track record of measurable model performance reporting and communicating results via posters/presentations for technical audiences. Nice‑to‑Have Vision Transformers (ViT) and modern YOLO workflows for microscopy/macroscopic tasks; comfort with infer tooling. Experience optimizing inference (e.g., torch.compile, mixed precision) and scaling batch workflows. Domain familiarity with Biotech breeding workflows. Collaboration with discovery and strategy teams; ability to work across biology, engineering, and data science groups. Soft Skills Strong stakeholder communication and the ability to translate biology & process constraints into CV requirements; comfortable triaging and prioritizing rapidly in active programs. Ownership mindset around documentation, reproducibility, and IP‑aware sharing. Curious and learning mindset Technical leadership experience.

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

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: $95,000-110,000k 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

Employee Type: Full time Job Type: Information Technology Data Management Job Posting Title: Supply Chain Data Scientist About Us: TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values-Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together. We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. What You Gain: * Competitive compensation and benefits program with no waiting period - you're eligible from your first day! * 401(k) program with 5% employer match and 100% vesting as soon as you enroll. * Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). * Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. * An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. * Access to our wellness and employee assistance programs. Job Description: About the Role: Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. You'll add value to this role by performing various functions including, but not limited to: * Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. * Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. * Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. * Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. * Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. * Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. * Other duties as assigned. Important Details: * This is a hybrid role on first shift in Oak Brook, IL. * The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. You'll fit right in if you have: * Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. * 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. * Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. * Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). * Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. * A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. Your TreeHouse Foods Career is Just a Click Away! Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time". TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com TreeHouse Use Only: #IND1

Senior Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Senior Data Scientist - Promo Analytics, you will deliver innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the core systems that power our promo analytics capabilities. You will develop scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data and drive advanced analytics initiatives. Success in this role requires curiosity, a passion for experimentation, and the ability to operate independently while effectively engaging with stakeholders to elevate our team and deliver value to our customers. You'll be DISRUPTIVE through these duties and responsibilities: Design and build machine learning and forecasting models to optimize promotional strategies and deliver measurable business value. Develop, validate, and deploy advanced statistical and ML models for pricing, promotion, and revenue management. Translate business needs into actionable data science projects and deliverables within the promo analytics domain. Apply best practices in model development, experimentation, and continuous improvement to ensure analytics excellence. Analyze large, complex datasets using Databricks, Azure, and other modern data platforms to uncover actionable insights. Build and maintain analytics tools and templates to support team productivity and solution delivery. Conduct root cause analysis for promo analytics issues and contribute to long-term remediation and reliability improvements. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members in a pod structure. Work directly with marketing and sales teams to understand business challenges and deliver impactful analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 5 or more years of experience in data science, advanced analytics, or a closely related technical field. Advanced proficiency in statistical modeling, machine learning, and analytics techniques. Proficiency in at least one programming language used for data science (Python preferred) Hands-on experience building, validating, and deploying machine learning and forecasting models in production environments. Experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Demonstrated ability to develop and implement statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to work independently and collaboratively within cross-functional teams. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Experience with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Familiarity with promo, pricing, or revenue management analytics. Experience with Databricks, Azure Machine Learning, or similar cloud-based data science platforms. Experience with experimentation frameworks (A/B testing, multivariate testing). Knowledge of data visualization tools (e.g., Power BI, Tableau, matplotlib, or similar). Experience working with large, complex datasets in a business context. Experience collaborating in Agile, cross-functional teams. Strong communication skills for presenting complex analytics to technical and non-technical audiences. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

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.

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

JobID: 210699258 JobSchedule: Full time JobShift: Base Pay/Salary: Chicago,IL $114,000.00-$165,000.00 Come join us in reshaping the future! The Chase Sales Analytics team supports the executives that lead the Consumer Bank to analyze and optimize the sales function at Chase branches. The team provides expertise in data science & analytics to optimize sales performance for our bankers across the firm. The team leverages industry-leading tools, processes, and skills to convert data into meaningful insights that enable sales leadership to drive value and an excellent customer experience for their business programs. We are seeking a Senior Associate to join the Analytics team dedicated to client assignment and ongoing contact optimization. This role will become the in-house expert in developing ways to optimize banker/client relationships and contact within the branch. Job Responsibilities: * Help develop and drive optimization roadmap for sales and banker portfolio functions using Machine Learning frameworks. * Utilize advanced analytics to identify opportunities and support our bankers' as they build lasting relationships to help clients navigate their financial needs over time. * Independently manage projects end-to-end, from ideation to implementation, keeping all relevant stakeholders informed. * Use data analysis tools/platforms (SQL, R/Python, Snowflake, AWS, Airflow & Hadoop) to analyze data from multiple sources. * Perform ad-hoc analyses for outreach performance, trend analysis, other analyses, as required. * Implement models that allow for optimized in-branch servicing and sales while also managing other needs such as day to day foot traffic. * Work with strategy partners to balance a strong experimentation environment with the need for quick, informed business decisions. Required qualifications, capabilities and skills: * Relevant experience of 3+ years and a Bachelors or Masters in related field, preferably Financial Services. * 3+ years of experience with optimization and machine learning models design and implementation - can be in a marketing, operational, or digital setting. * Expertise implementing next-gen models using machine learning. * Excellent written and verbal communications skills with the ability to work and collaborate with internal and external partners. * Problem-solving skills are essential. * Must be able to think outside the box to implement creative solutions that solve business problems without sacrificing experimentation integrity. * Proven ability to work in a fast-paced environment, meet deadlines. Must be detail oriented, organized, and perform at high standards.

At Navista, our mission is to empower community oncology practices to deliver patient-centered cancer care. Navista, a Cardinal Health company, is an oncology practice alliance co-created with oncologists and practice leaders that offers advanced support services and technology to help practices remain independent and thrive. True to our name, our experienced team is passionate about helping oncology practices navigate the future. We are seeking an innovative and highly skilled **Senior Data Scientist** with specialized expertise in Generative AI (GenAI), Large Language Models (LLMs), and Agentic Systems to join the Navista - Data & Advanced Analytics team supporting the growth of our Navista Application Suite and the Integrated Oncology Network (IoN). In this critical role, you will be at the forefront of designing, developing, and deploying advanced AI solutions that leverage the power of generative models and intelligent agents to transform our products and operations. You will be responsible for pushing the boundaries of what's possible, from foundational research to production-ready applications, working with diverse datasets and complex problem spaces, particularly within the oncology domain. The ideal candidate will possess a deep theoretical understanding and practical experience in building, fine-tuning, and deploying LLMs, as well as architecting and implementing agentic frameworks. You will play a key role in shaping our AI strategy, mentoring junior team members, and collaborating with cross-functional engineering and product teams to bring groundbreaking AI capabilities to life, including developing predictive models from complex, often unstructured, oncology data. **_Responsibilities_** + **Research & Development:** Lead the research, design, and development of novel Generative AI models and algorithms, including but not limited to LLMs, diffusion models, GANs, and VAEs, to address complex business challenges. + **LLM Expertise:** Architect, fine-tune, and deploy Large Language Models for various applications such as natural language understanding, generation, summarization, question-answering, and code generation, with a focus on extracting insights from unstructured clinical and research data. + **Agentic Systems Design:** Design and implement intelligent agentic systems capable of autonomous decision-making, planning, reasoning, and interaction within complex environments, leveraging LLMs as core components. + **Predictive Modeling:** Develop and deploy advanced predictive models and capabilities using both structured and unstructured data, particularly within the oncology space, to forecast outcomes, identify trends, and support clinical or commercial decision-making. + **Prompt Engineering & Optimization:** Develop advanced prompt engineering strategies and techniques to maximize the performance and reliability of LLM-based applications. + **Data Strategy for GenAI:** Work with data engineers to define and implement data collection, preprocessing, and augmentation strategies specifically tailored for training and fine-tuning generative models and LLMs, including techniques for handling and enriching unstructured oncology data (e.g., clinical notes, pathology reports). + **Model Evaluation & Deployment:** Develop robust evaluation metrics and methodologies for generative models, agentic systems, and predictive models. Oversee the deployment, monitoring, and continuous improvement of these models in production environments. + **Collaboration & Leadership:** Collaborate closely with machine learning engineers, software engineers, and product managers to integrate AI solutions into our products. Provide technical leadership and mentorship to junior data scientists. + **Innovation & Thought Leadership:** Stay abreast of the latest advancements in GenAI, LLMs, and agentic AI research. Proactively identify new opportunities and technologies that can enhance our capabilities and competitive advantage. + **Ethical AI:** Ensure the responsible and ethical development and deployment of AI systems, addressing potential biases, fairness, and transparency concerns. **_Qualifications_** + 8-12 years of experience as a Data Scientist or Machine Learning Engineer, with a significant focus on deep learning and natural language processing, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + Proven hands-on experience with Generative AI models (e.g., Transformers, GANs, VAEs, Diffusion Models) and their applications. + Extensive experience working with Large Language Models (LLMs), including fine-tuning, prompt engineering, RAG (Retrieval Augmented Generation), and understanding various architectures (e.g., GPT, Llama, BERT, T5). + Demonstrated experience in designing, building, and deploying agentic systems or multi-agent systems, including concepts like planning, reasoning, and tool use. + Strong experience working with unstructured data, particularly in the oncology domain (e.g., clinical notes, pathology reports, genomic data, imaging reports), and extracting meaningful features for analysis. + Demonstrated ability to create and deploy predictive capabilities and models from complex datasets, including those with unstructured components. + Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow. + Experience with relevant libraries and tools (e.g., Hugging Face Transformers, LangChain, LlamaIndex). + Strong understanding of machine learning fundamentals, statistical modeling, and experimental design. + Experience with at least one cloud platforms ( GCP, Azure) for training and deploying large-scale AI models. + Excellent problem-solving skills, with the ability to tackle complex, ambiguous problems and drive solutions. + Strong communication and presentation skills, capable of explaining comp + Experience in the healthcare or life sciences industry, specifically with oncology data and research, highly preferred + Experience with MLOps practices for deploying and managing large-scale AI models, highly preferred + Familiarity with distributed computing frameworks (e.g., Spark, Dask), highly preferred + Experience contributing to open-source AI projects, highly preferred **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $123,400 - $176,300 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 02/15/2026 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. \#LI-Remote _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

You and Northwestern Mutual. We believe relationships are built on trust. That our lives and our work matter. And we're much stronger together than we are apart. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. Our business is about helping people secure their financial futures, and that starts with putting people first - our clients, our employees and our field representatives. Northwestern Mutual is known for financial strength. We're strong, innovative and growing. Come grow with us. Job Description At Northwestern Mutual, we believe relationships are built on trust. That our lives and our work matter. These beliefs launched our company nearly 160 years ago. Today, they're just a few of the reasons why people choose to build careers at Northwestern Mutual. We're strong and growing. In a company with such a long and storied history, this may be the most exciting and important time to be a part of Northwestern Mutual. We're strong, innovative and growing. We invest in our people. We provide opportunities for employees to grow themselves, their career and in turn, our business. We care. We make a positive difference in our communities. Nationally, thousands have benefitted from our support of research and programs to fight childhood cancer. Each year, our Foundation, employees and financial representatives donate time, talent and financial support to causes they're passionate about. We are an equal opportunity/affirmative action employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender identity or expression, sexual orientation, national origin, disability, age or status as a protected veteran, or any other characteristic protected by law. What's the role? We collaborate with internal business partners to implement data-driven solutions with measurable business value. Our innovative team of data scientists work in a highly collaborative, agile environment. As a Data Scientist, you will work with a diverse and talented team with responsibilities that include: Application of statistical and machine driven techniques to address business objectives and client needs; Building relationships and collaborating with stakeholders to gather, consolidate and validate business assumptions prior to undertaking analytical work; Collaborating within team to research, evaluate and select data sources; Partner with team to document requirements, assumptions and methodologies including validating, testing and implementation strategies; Designing rich data visualizations to communicate complex ideas to internal clients and leaders; Assuring compliance with regulatory and privacy requirements during design and implementation of database development, modeling and analysis projects; Creating clear and easy to understand presentations/reports Maintaining a high level of understanding of cutting edge data science techniques and tools; Bring Your Best! What this role needs: Graduate Degree in quantitative disciplines such as Data Science, Statistics, Mathematics, Economics, Computer Science or related field Experience in statistical modeling and data mining using large and complex datasets Strong intellectual curiosity and willingness to adapt data science concepts and tools to solve real-world, business problems Demonstrated experience in influencing business decisions; including knowing when to escalate issues. Strong verbal and written communication skills, listening and teamwork skills and effective presentation skills Demonstrated competencies such as excellent relationship management, creative problem solving, flexibility and willingness to challenge the status quo Programming experience with SAS, R and other software, SQL server or Hadoop experience is a plus. #LI-PB1 Req ID: 10401 Position Type: Regular Full Time Education Experience: Bachelor's Required Employment Experience: 6-8 years Licenses/Certifications: FLSA Status: Exempt Posting Date: 01/10/2017

At CVS Health, we're building a world of health around every consumer and surrounding ourselves with dedicated colleagues who are passionate about transforming health care. As the nation's leading health solutions company, we reach millions of Americans through our local presence, digital channels and more than 300,000 purpose-driven colleagues - caring for people where, when and how they choose in a way that is uniquely more connected, more convenient and more compassionate. And we do it all with heart, each and every day. **Position Summary** We're seeking a Data Engineer to design and implement data pipelines that power analytical capabilities. This hands-on role requires an understanding of data engineering best practices and the ability to translate business requirements into technical solutions. You will be part of a dedicated team creating datasets for analytic and data science workloads. You will work with other Data Engineers and Sr. Data Engineers on designing, implementing, and testing data pipelines. Your key responsibilities are: + Data Pipeline Development: Design and build ETL/ELT data pipelines to ingest, process, and transform datasets from multiple sources. + Performance Optimization: Implement best practices for performance tuning, partitioning, and clustering to optimize data queries. + Data Quality & Governance: follow data quality standards, data governance frameworks, and security policies for data storage and access. + Data Modeling & Architecture: Develop and optimize data models and schemas to support analytics, reporting, and machine learning requirements. + Data Integration & Transformation: Collaborate with data scientists and analysts to design data solutions that integrate with BI tools and machine learning models + Documentation & Knowledge Sharing: Create comprehensive documentation for data pipelines, workflows, and processes. **Required Qualifications** + 2+ years of applicable work experience + Proficiency in Python, specifically with ETL pipelines + Strong proficiency in SQL and experience in developing complex queries + Experience deploying data pipelines in a cloud environment (any of Azure, AWS, GCP) + Excellent communication and interpersonal skills, with the ability to collaborate effectively with data scientists and analysts. **Preferred Qualifications** + Experience working with healthcare data, especially Epic. + Experience using GCP's BigQuery + Knowledge of data governance best practices in a cloud environment. + Experience working with Machine Learning processes. **Education** College degree or certification in related fields **Anticipated Weekly Hours** 40 **Time Type** Full time **Pay Range** The typical pay range for this role is: $64,890.00 - $173,040.00 This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above. Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong. **Great benefits for great people** We take pride in our comprehensive and competitive mix of pay and benefits - investing in the physical, emotional and financial wellness of our colleagues and their families to help them be the healthiest they can be. In addition to our competitive wages, our great benefits include: + **Affordable medical plan options,** a **401(k) plan** (including matching company contributions), and an **employee stock purchase plan** . + **No-cost programs for all colleagues** including wellness screenings, tobacco cessation and weight management programs, confidential counseling and financial coaching. + **Benefit solutions that address the different needs and preferences of our colleagues** including paid time off, flexible work schedules, family leave, dependent care resources, colleague assistance programs, tuition assistance, retiree medical access and many other benefits depending on eligibility. For more information, visit ***************************************** We anticipate the application window for this opening will close on: 01/23/2026 Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws. We are an equal opportunity and affirmative action employer. We do not discriminate in recruiting, hiring, promotion, or any other personnel action based on race, ethnicity, color, national origin, sex/gender, sexual orientation, gender identity or expression, religion, age, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law.

**Employee Type:** Full time **Job Type:** Information Technology Data Management **Job Posting Title:** Supply Chain Data Scientist **About Us** **:** TreeHouse Foods (NYSE: THS) is a leading manufacturer of private label packaged foods and beverages, operating a network of over 20 production facilities and several corporate offices across the United States and Canada. At TreeHouse Foods, our commitment to excellence extends beyond our products and revolves around our people. We are investing in talent and creating a performance-based culture where employees can do their best work and develop their careers, directly impacting our mission to make high quality, affordable food for our customers, communities, and families. We hope you will consider joining the team and being part of our future. Named one of America's Best Large Employers by Forbes Magazine, we are proud to live by a strong set of values and strive to "Engage and Delight - One Customer at a Time." Guided by our values- **Own It, Commit to Excellence, Be Agile, Speak Up, and Better Together.** We are a diverse team driven by integrity, accountability, and a commitment to exceptional results. We embrace change, prioritize continuous learning, and foster collaboration, transparency, and healthy debate. Together, we set each other up for success to achieve enterprise-wide goals. **What You G** **ain** **:** + Competitive compensation and benefits program with no waiting period - you're eligible from your first day! + 401(k) program with 5% employer match and 100% vesting as soon as you enroll. + Comprehensive paid time off opportunities, including immediate access to four weeks of vacation, five sick days, parental leave and 11 company holidays (including two floating holidays). + Leaders who are invested in supporting your accelerated career growth, plus paid training, tuition reimbursement and a robust educational platform - DevelopU - with more than 10,000 free courses to support you along the way. + An inclusive working environment where you can build meaningful work relationships with a diverse group of professionals. Take advantage of opportunities to build on our team-oriented culture, such as joining one of our Employee Resource Groups. + Access to our wellness and employee assistance programs. **Job Description:** **_About the Role:_** Treehouse Foods' Integrated Planning team is looking for a talented and data-driven Supply Chain Data Scientist to enhance our supply chain forecasting capabilities in our Oak Brook, IL corporate office. This role is ideal for a professional who thrives on analytical challenges and is committed to making a tangible impact. We value collaborative problem-solvers who bring a strong analytical mindset and demonstrate curiosity, resilience, and commitment to continuous learning. If you are adaptable, results-oriented, and motivated by cross-functional teamwork, we encourage you to join our team in supporting Treehouse Foods' mission of delivering quality food products with efficiency and precision. **_You'll add value to this role by performing various functions including, but not limited to:_** + Analyze large, complex datasets to extract actionable insights, identify trends, and address supply chain challenges. + Develop, deploy, and maintain statistical demand planning and inventory optimization models using Blue Yonder or similar platforms across various business units. + Present complex data insights in a clear and effective manner to both technical and non-technical stakeholders. + Research and implement new data science techniques and technologies to enhance forecasting accuracy and supply chain performance. + Ensure analytical insights are seamlessly integrated into business processes and guide model deployment requirements, including adherence to QA standards. + Work with both technical and business stakeholders to identify technology-driven opportunities that deliver measurable business value. + Other duties as assigned. **_Important Details_** **_:_** + This is a hybrid role on first shift in Oak Brook, IL. + The anticipated compensation for this position ranges from $ 100,800 to $151,200 annually. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. An employee's position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, shift, travel requirements, sales or revenue-based metrics and business or organizational needs. For certain roles, the successful candidate may be eligible for annual discretionary merit compensation award, bonus and equity pay. **_You'll fit right in if you have:_** + Bachelor's or advanced degree in Statistics, Data Analytics, Applied Mathematics, or a related quantitative field; advanced degree preferred. + 5 or more years of experience in data science or machine learning roles, preferably within private-label CPG organizations. + Expertise in SQL and relational databases, proficiency with Blue Yonder or similar Supply Chain platform for statistical demand planning and inventory optimization. + Experience with machine learning libraries and frameworks (PyTorch, TensorFlow, NumPy) and data visualization tools (Tableau, PowerBI). + Strong quantitative, statistical, and data mining knowledge, including experience with techniques like regression, random forests, hierarchical clustering, deep learning, CNNs, and RNNs. + A strong desire to explore data-driven methodologies, with a focus on innovation and continuous improvement. **Your TreeHouse Foods Career is Just a Click Away!** Click on the "Apply" button or go directly to ****************************** to let us know you're ready to join our team! _At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time"._ _TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact_ _disability-accommodations@treehousefoods.com_ TreeHouse Use Only: #IND1 TreeHouse Foods is a private label food and beverage leader focused on customer brands and custom products. When customers partner with TreeHouse they can expect access to an industry-leading portfolio, strategic vision, on-trend innovation and insights, world-class supply chain, operational excellence and flexibility, collaborative approaches, and dedicated customer service. Our strategy is to be the leading supplier of private label food and beverage products by providing the best balance of quality and cost to our customers. We engage with retail grocery, food away from home, and industrial and export customers, including most of the leading grocery retailers and foodservice operators in the United States and Canada. Our portfolio includes a variety of shelf-stable, refrigerated, and snack products. Customers can expect comprehensive flavor profiles including natural, organic, and preservative-free ingredients in many categories and packaging formats. TreeHouse Foods is best known for food and beverages produced by our two largest businesses Bay Valley Foods, LLC (including E.D. Smith and Sturm Foods) and TreeHouse Private Brands. With more than 10,000 employees in over 26 plants across the United States and Canada, TreeHouse Foods is based in Oak Brook, Illinois. **Recruitment Fraud Alert** We want to ensure your career journey with TreeHouse Foods is safe and secure. Scammers may attempt to impersonate our company by sending fake job offers, interview, and sensitive document requests. If you receive an email claiming to be from us, always verify the sender's email address-it should match our official company domain (@treehousefoods.com) exactly. We will _never_ ask for payment, financial, or personal information and documents as part of our interview process. If you suspect fraudulent activity, please contact us directly by visiting the Contact page on our website (****************************************************** . Stay vigilant to protect yourself from recruitment scams. **Disability Assistance and EEO Considerations:** At TreeHouse Foods, we embrace diversity and inclusion for innovation and growth. We are committed to building inclusive teams and an equitable workplace for our employees to bring their true selves to work to help us "Engage and Delight - One Customer at a Time." TreeHouse Foods is an Equal Opportunity Employer that prohibits discrimination or harassment of any type. All qualified applicants are considered for employment without regard to race, color, national origin, age, sex, sexual orientation, gender, gender identity or expression, disability status, protected veteran status, or any other characteristic protected by law. Applicants who require an accommodation to participate in the job application or hiring process should contact disability-accommodations@treehousefoods.com **To all recruitment agencies:** TreeHouse Foods does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Treehouse Foods employees, or any company location(s). TreeHouse Foods is not responsible for any fees related to unsolicited resumes/CVs.

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

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

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Staff Data Scientist - Promo Analytics **Applicants must be authorized to work in the U.S.; Sponsorship is not available for this position. INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success-so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Staff Data Scientist - Promo Analytics, you will serve as a senior technical leader, driving the architecture and delivery of innovative analytics solutions that enable Milwaukee Tool to make fast, data-driven decisions about promotional strategies. Working closely with business partners and the Promo Analytics pod, you will design, build, and support the foundational systems that power our promo analytics capabilities. You will develop and implement scalable machine learning models and forecasting tools to optimize promotions, ensuring trusted and actionable insights across the organization. You'll build deep expertise in our promotional data, shape long-term analytics strategy, and lead advanced analytics initiatives. Success in this role requires technical excellence, a passion for experimentation, and the ability to influence and elevate the team while delivering significant business value. You'll be DISRUPTIVE through these duties and responsibilities: Architect, design, and build scalable machine learning and forecasting models to optimize promotional strategies and drive significant business impact. Set technical direction for promo analytics, establishing best practices and standards for model development, validation, and deployment. Lead the development and implementation of advanced analytics frameworks, reusable tools, and templates to accelerate team and organizational productivity. Translate complex, cross-functional business needs into actionable data science projects and long-term analytics strategy. Oversee and guide the integration of promo analytics solutions across multiple business domains, ensuring consistency and scalability. Lead root cause analysis for major promo analytics issues, drive long-term remediation, and influence operational reliability improvements. Mentor and provide technical guidance to other data scientists and analytics professionals within the pod and across teams. Collaborate with Data Engineers, Product Owners, Business Intelligence Engineers, and other technical team members to deliver integrated, enterprise-scale solutions. Engage directly with marketing and sales leadership to understand strategic business challenges and deliver high-impact analytics solutions. Perform other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in Statistics, Mathematics, Computer Science, Data Science, or a related field, or equivalent experience. 8 or more years of experience in data science, advanced analytics, or a closely related technical field. Expert-level proficiency in statistical modeling, machine learning, and advanced analytics techniques. Advanced proficiency in at least one programming language used for data science (Python preferred) Extensive hands-on experience building, validating, and deploying scalable machine learning and forecasting models in production environments. Demonstrated experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Proven track record developing and implementing complex statistical and ML models for business impact, ideally in pricing, promotion, or revenue management. Strong knowledge of experimental design, A/B testing, and model evaluation best practices. Ability to lead and influence cross-functional analytics initiatives and set technical direction for data science projects. Strong problem-solving, debugging, and analytical skills, especially in complex, multi-system environments. Ability to thrive in agile, dynamic, and collaborative teams, and to communicate complex analytics clearly to technical and non-technical audiences. Other TOOLS we prefer you to have: Deep expertise with advanced machine learning techniques (e.g., time series forecasting, causal inference, uplift modeling, optimization, or reinforcement learning). Experience applying analytics to promo, pricing, or revenue management challenges. Hands-on experience with cloud-based data science platforms (Databricks, Azure Machine Learning, or similar). Strong background in experimental design and statistical testing (A/B testing, multivariate testing, quasi-experimental methods). Proficiency with data visualization and storytelling tools (e.g., Power BI, Tableau, matplotlib, or similar). Demonstrated ability to work with large, complex, and messy datasets in real-world business contexts. Experience collaborating in Agile, cross-functional teams. Exceptional communication skills for translating complex analytics into actionable insights for both technical and non-technical audiences. A track record of thought leadership, publication, or conference presentations in data science or applied analytics (preferred but not required). Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

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