Senior data scientist jobs in Kenosha, WI - 139 jobs

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.

Do you want to be part of an inclusive team that works to develop innovative therapies for patients? Every day, we are driven to develop and deliver innovative and effective new medicines to patients and physicians. If you want to be part of this exciting work, you belong at Astellas! Astellas Pharma Inc. is a pharmaceutical company conducting business in more than 70 countries around the world. We are committed to turning innovative science into medical solutions that bring value and hope to patients and their families. Keeping our focus on addressing unmet medical needs and conducting our business with ethics and integrity enables us to improve the health of people throughout the world. For more information on Astellas, please visit our website at ***************** This position is based in Northbrook, Illinois. Hybrid work from certain states may be permitted in accordance with Astellas' Responsible Flexibility Guidelines. Candidates interested in hybrid work are encouraged to apply. Purpose: We are hiring an experienced real-world data scientist to join our Real-World Data Science (RWDS) team. As an Associate Director of RWDS, you will be an analytic researcher informing and conducting Real World Data (RWD) studies at any time in the drug lifecycle. You will work directly within the RWDS team to execute observational studies for internal and external consumption and partner closely with Development, Medical Affairs, and Pharmacovigilance/Pharmacoepidemiology colleagues in their research. Additionally, you will collaborate closely with others in RWDS, Biostatistics and the broader Quantitative Sciences & Evidence Generation department to enhance our RWD and analytics offerings. RWDS is multidisciplinary and provides RWE strategic input, study design, statistical and programming support to projects. Team members apply their unique knowledge, skills and experience in teams to deliver decision-shaping real-world evidence. Essential Job Responsibilities: Provide best-in-class data science support to Astellas drug development programs & marketed products in relation to RWD Design of observational studies (primary and/or secondary data) Execute (program and analyze) observational studies using in-house RWD or oversee vendors or other RWDS staff in executing observational studies Write, review, or contribute to key study documents to ensure optimal methodological & statistical presentation. These documents include, protocols, analysis plans, tables and figure (TLF) specifications, study reports, publications Ensure efficient planning, execution and reporting of analyses Advise as subject matter expert in specific data access partnerships Represent the company on matters related to RWD analysis at meetings with regulatory authorities, key opinion leaders and similar experts/bodies as needed Contributes to vendor selection with partner functions Participate in the creation and upkeep of best practices, tools/macros, and standards related to methods, data and data analysis at Astellas Collaborate with RWDS and Biostatistics colleagues and cross-functional teams in Development, Medical Affairs and Pharmacovigilance Mentor and guide junior members of the RWD Analytics team

The Company Zurn Elkay Water Solutions Corporation is a thriving, values-driven company focused on doing the right things. We're a fast growing, publicly traded company (NYSE: ZWS), with an enduring reputation for integrity, giving back, and providing an engaging, inclusive environment where careers flourish and grow. Named by Newsweek as One of America's Most Responsible Companies and an Energage USA Top Workplace, at Zurn Elkay Water Solutions Corporation, we never forget that our people are at the center of what makes us successful. They are the driving force behind our superior quality, product ingenuity, and exceptional customer experience. Our commitment to our people and their professional development is a recipe for success that has fueled our growth for over 100 years, as one of today's leading international suppliers of plumbing and water delivery solutions. Headquartered in Milwaukee, WI, Zurn Elkay Water Solutions Corporation employs over 2800 employees worldwide, working from 24 locations across the U.S., China, Canada, Dubai, and Mexico, with sales offices available around the globe. We hope you'll visit our website and learn more about Zurn Elkay at zurnelkay.com. If you're ready to join a company where what you do makes a difference and you have pride in the work you are doing, talk to us about joining the Zurn Elkay Water Solutions Corporation family! If you are a current employee, please navigate here to apply internally. Job Description The Lead Data & BI Scientist is a senior-level role that blends advanced data science capabilities with business intelligence leadership. This position is responsible for driving strategic insight generation, building predictive models, and leading analytics initiatives across departments such as sales, marketing, pricing, manufacturing, logistics, supply chain, and finance. The role requires both technical depth and business acumen to ensure that data-driven solutions are aligned with organizational goals and deliver measurable value. Key Accountabilities Strategic Insight & Business Partnership * Partner with business leaders to identify high-impact opportunities and form hypotheses. * Present findings and recommendations to leadership in a clear, impactful manner. * Demonstrate ROI and business value from analytics initiatives. Data Science Leadership * Define and implement data science processes, tools, and governance frameworks. * Mentor junior team members and foster a culture of continuous learning. Advanced Analytics & Modeling * Design, build and validate predictive models, machine learning algorithms and statistical analyses. * Translate complex data into actionable insights for strategic decision-making. Technology & Tools * Utilize tools such as Tableau, Power BI, OBIEE/OAC, Snowflake, SQL, R, Python, and data catalogs. * Stay current with emerging technologies like agentic analytics and AI-driven insights. * Evaluate and recommend BI platforms and data science tools. Project & Change Management * Manage analytics projects from inception to delivery. * Provide training and change management support for new tools and processes. * Lead the establishment of a data science center of excellence. Qualifications/Requirements * Bachelor degree required, in a quantitative field such as engineering, mathematics, science, and/or MIS. Master degree preferred * 10+ years of overall work experience * 7+ years of experience in data science and statistical analysis * Strong understanding and experience with analytics tool such as Tableau and OBIEE/OAC (or similar tools) for reporting and visualization, Snowflake for data storage, data modeling, data prep or ETL tools, R or Python, SQL, and data catalogs. * Strong understanding and experience with multiple statistical and quantitative models and techniques such as (but not limited to) those used for predictive analytics, machine learning, AI, linear models and optimization, clustering, and decision tree. * Deep experience applying data science to solve problems in at least one of the following areas is required. Experience in multiple areas is preferred: marketing, manufacturing, pricing, logistics, sourcing, and sales. * Strong communication (verbal, written) skills, and ability to work with all levels of the organization effectively * Working knowledge of and proven experience applying project management tools * Strong analytical skills * Ability to lead and mentor the work of others * High degree of creativity and latitude is expected Capabilities and Success Factors * Decision Quality - Making good and timely decisions that keep the organization moving forward. * Manages Complexity - Making sense of complex, high quantity and sometimes contradictory information to effectively solve problems. * Plans & Aligns - Planning and prioritizing work to meet commitments aligned with organizational goals. * Drives Results - Consistently achieving results, even under tough circumstances. * Collaborates - Building partnerships and working collaboratively with others to meet shared objectives. Total Rewards and Benefits * Competitive Salary * Medical, Dental, Vision, STD, LTD, AD&D, and Life Insurance * Matching 401(k) Contribution * Health Savings Account * Up to 3 weeks starting Vacation (may increase with tenure) * 12 Paid Holidays * Annual Bonus Eligibility * Educational Reimbursement * Matching Gift Program * Employee Stock Purchase Plan - purchase company stock at a discount! THIRD PARTY AGENCY: Any unsolicited submissions received from recruitment agencies will be considered property of Zurn Elkay, and we will not be liable for any fees or obligations related to those submissions. Equal Opportunity Employer - Minority/Female/Disability/Veteran

**What you Will Do** Clarios is seeking a skilled AI Data Scientist to design, develop, and deploy machine learning and AI solutions that unlock insights, optimize processes, and drive innovation across operations, offices, and products. This role focuses on transforming complex, high-volume data into actionable intelligence and enabling predictive and prescriptive capabilities that deliver measurable business impact. The AI Data Scientist will collaborate closely with AI Product Owners and business SMEs to ensure solutions are robust, scalable, and aligned with enterprise objectives. This role requires an analytical, innovative, and detail-oriented team member with a strong foundation in AI/ML and a passion for solving complex problems. The individual must be highly collaborative, an effective communicator, and committed to continuous learning and improvement. This will be onsite three days a week in Glendale. **How you will do it** + **Hypothesis Framing & Metric Measurement** : Translate business objectives into well-defined AI problem statements with clear success metrics and decision criteria. Prioritize opportunities by ROI, feasibility, risk, and data readiness; define experimental plans and acceptance thresholds to progress solutions from concept to scaled adoption. + **Data Analysis & Feature Engineering** : Conduct rigorous exploratory data analysis to uncover patterns, anomalies, and relationships across heterogeneous datasets. Apply advanced statistical methods and visualization to generate actionable insights; engineer high-value features (transformations, aggregations, embeddings) and perform preprocessing (normalization, encoding, outlier handling, dimensionality reduction). Establish data quality checks, schemas, and data contracts to ensure trustworthy inputs. + **Model Development & Iteration** : Design and build models across classical ML and advanced techniques-deep learning, NLP, computer vision, time-series forecasting, anomaly detection, and optimization. Run statistically sound experiments (cross-validation, holdouts, A/B testing), perform hyperparameter tuning and model selection, and balance accuracy, latency, stability, and cost. Extend beyond prediction to prescriptive decision-making (policy, scheduling, setpoint optimization, reinforcement learning), with domain applications such as OEE improvement, predictive maintenance, production process optimization, and digital twin integration in manufacturing contexts. + **MLOps & Performance** : Develop end-to-end pipelines for ingestion, training, validation, packaging, and deployment using CI/CD, reproducibility, and observability best practices. Implement performance and drift monitoring, automated retraining triggers, rollback strategies, and robust versioning to ensure reliability in dynamic environments. Optimize for scale, latency, and cost; support real-time inference and edge/plant-floor constraints under defined SLAs/SLOs. + **Collaboration & Vendor Leadership** : Partner with AI Product Owners, business SMEs, IT, and operations teams to translate requirements into pragmatic, integrated solutions aligned with enterprise standards. Engage process owners to validate data sources, constraints, and hypotheses; design human-in-the-loop workflows that drive adoption and continuous feedback. Provide technical oversight of external vendors-evaluating capabilities, directing data scientists/engineers/solution architects, validating architectures and algorithms, and ensuring seamless integration, timely delivery, and measurable value. Mentor peers, set coding/modeling standards, and foster a culture of excellence. + **Responsible AI & Knowledge Management** : Ensure data integrity, model explainability, fairness, privacy, and regulatory compliance throughout the lifecycle. Establish model risk controls; maintain documentation (model cards, data lineage, decision logs), audit trails, and objective acceptance criteria for production release. Curate reusable assets (feature catalogs, templates, code libraries) and best-practice playbooks to accelerate delivery while enforcing Responsible AI principles and rigorous quality assurance **What we look for** + 5+ years of experience in data science and machine learning, delivering production-grade solutions in corporate or manufacturing environments. + Strong proficiency in Python and common data science libraries (e.g., Pandas, NumPy, scikit-learn); experience with deep learning frameworks (TensorFlow, PyTorch) and advanced techniques (NLP, computer vision, time-series forecasting). + Hands-on experience with data preprocessing, feature engineering, and EDA for large, complex datasets. + Expertise in model development, validation, and deployment, including hyperparameter tuning, optimization, and performance monitoring. + Experience interacting with databases and writing SQL queries. + Experience using data visualization techniques for analysis and model explanation. + Familiarity with MLOps best practices-CI/CD pipelines, containerization (Docker), orchestration, model versioning, and drift monitoring. + Knowledge of cloud platforms (e.g., Microsoft Azure, Snowflake) and distributed computing frameworks (e.g., Spark) for scalable AI solutions. + Experience with agile methodologies and collaboration tools (e.g., JIRA, Azure DevOps), working in matrixed environments across IT, analytics, and business teams. + Strong analytical and business acumen, with the ability to quantify ROI and build business cases for AI initiatives. + Excellent communication and stakeholder engagement skills; able to present insights and recommendations to technical and non-technical audiences. + Knowledge of LLMs and VLMs is a strong plus. + Understanding of manufacturing systems (SCADA, PLCs, MES) and the ability to integrate AI models into operational workflows is a strong plus. + Willingness to travel up to 10% as needed. \#LI-AL1 \#LI-HYBRID **What you get:** + Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire + Tuition reimbursement, perks, and discounts + Parental and caregiver leave programs + All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits + Global market strength and worldwide market share leadership + HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility + Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. **Who we are:** Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. **Veterans/Military Spouses:** We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, status as a protected veteran or other protected characteristics protected by law. As a federal contractor, we are committed to not discriminating against any applicant or employee based on these protected statuses. We will also take affirmative action to ensure equal employment opportunities. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com . We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, and all characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report (********************************************** . We want you to know your rights (*********************************************************************************************** because EEO is the law. **A Note to Job Applicants:** please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. **To all recruitment agencies** : Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs. Clarios is the creator behind the world's most recognizable car battery brands. We are the car battery found in most new vehicles including leading brands such as Ford, General Motors, Toyota, Honda, and Nissan. Our 16,000 employees develop, manufacture, and distribute batteries for virtually every type of vehicle. We recover, recycle, and reuse up to 99% of our battery materials, leading sustainability practices in our industry. **A Note to Job Applicants** : Please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process.

Foxconn provides innovative design and advanced manufacturing capabilities through AI-driven solutions. As a global leader in technology services and smart manufacturing, Foxconn is expanding across electric vehicles, digital health and robotics, underpinned by core strengths in artificial intelligence, semiconductors and next-generation communications to enable smart manufacturing, smart EV and smart city platforms. AFE, Inc., a Foxconn company, is currently seeking a Data Scientist to join our Smart Manufacturing Platform-industrial AI (SMP-iAI) team in Milwaukee, WI. This role focuses on designing, developing, and deploying data science and GenAI solutions for factory and industrial applications. You will work closely with product, platform and software teams to translate real-world manufacturing use cases into robust, scalable AI capabilities on our Smart Manufacturing Platform. Responsibilities Include: Design, build and maintain end-to-end data science and GenAI solutions for manufacturing use cases, from problem framing and data exploration through model development, validation, deployment and monitoring. Develop and operationalize GenAI and LLM-based applications for industrial scenarios, such as: Natural-language copilots for process engineers and operators to query production, quality and equipment data; Work-instruction and SOP assistants that summarize and personalize procedures by product, line or station; Root-cause and anomaly analysis assistants that explain out-of-control conditions and suggest likely causes; NL-driven maintenance and quality-report generators that transform logs and sensor data into clear narratives. Implement natural-language-based data analytics and data modeling workflows that convert user questions into reproducible analyses (e.g., auto-generated SQL / queries, model runs, dashboards) and return interpretable results aligned with KPIs such as yield, scrap, downtime and OEE. Work with structured and unstructured data from diverse factory and enterprise sources (MES, ERP, sensor/IoT data, images, PDFs and logs), including data ingestion, cleaning, feature engineering and data quality checks. Build and refine GenAI workflows including prompt design, retrieval-augmented generation (RAG), vector search, tool-calling and guardrails, with a focus on safety, reliability, latency and explainability in production settings. Collaborate with software engineers and architects to integrate ML and GenAI models into backend services and the Smart Manufacturing Platform, supporting API design, performance tuning and lifecycle management. Participate in planning and roadmap discussions for AI initiatives: help define scope, technical approach, success metrics, data requirements and deployment plans across multiple plants and product lines. Create clear documentation, technical reports and reusable code artifacts so that solutions can be supported, scaled, and transferred to other teams or sites Engage with cross-functional stakeholders (manufacturing, operations, quality, IT, business teams) to understand needs, prioritize opportunities and present findings and recommendations to both technical and non-technical audiences. Stay current with advancements in data science, machine learning and GenAI (models, frameworks, tooling, MLOps/LLMOps) and share best practices within the team. Perform other duties and responsibilities as required or requested. Education Requirements, Ideal Experience: Bachelor's degree in Computer Science, Data Science, Statistics, Engineering or a related field required; Master's degree preferred. 2-5 years of recent, hands-on experience in data science and machine learning, including delivering models or analytics solutions into production or business use. Strong foundation in core ML techniques (regression, classification, clustering, time-series, deep learning; supervised and unsupervised methods) and experience applying them to real business problems. Practical experience with generative AI and large language models, such as prompt engineering, fine-tuning or adapting foundation models, building chat/assistant workflows, or RAG-style applications. Proficiency in Python for data science and ML (e.g., pandas, NumPy, scikit-learn; plus PyTorch or equivalent). Solid understanding of data engineering and storage technologies, including SQL and NoSQL databases and data pipeline/ETL concepts. Experience with big data frameworks or streaming data is a plus. Familiarity with modern software development practices (Git, code review, testing, CI/CD) and with web/API concepts (RESTful services, basic HTML/CSS/JavaScript) is preferred. Experience working with cloud platforms and, ideally, GPU-accelerated environments for deploying AI models, is a plus. Strong analytical and problem-solving skills, with the ability to design experiments, interpret complex results, and drive decisions using data. Team-oriented mindset and demonstrated ability to collaborate with distributed, cross-functional teams, with excellent written and verbal communication skills. Foxconn provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, Foxconn complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, and transfer, leaves of absence, compensation, and training.

SummaryWomen's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks. As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GEHC business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** In this role, you will: Work with customers to capture data and analytics requirements Develop, verify, and validate analytics to address customer needs and opportunities. Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. Perform exploratory and targeted data analyses using descriptive statistics and other methods. Work with data engineers on data quality assessment, data cleansing and data analytics Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. Communicate methods, findings, and hypotheses with stakeholders. Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Requirements: Education- Bachelor's Degree in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math) Master's or PhD is advantageous Minimum of 6 years of professional experience in AI product development. Technical Expertise- Demonstrated skill in data management methods Demonstrated skill in feature extraction and realtime analytics development and deployment Demonstrated skill in prescriptive analytics and analytic prototyping Specific skills include- Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and open CV Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs, vision transformers, and self-supervised learning. Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Domain Knowledge- Experience in medical device development is considered a strong asset. Demonstrated skill in defining and delivering customer value in these areas Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in presentation and influencing skills Desired Characteristics: Undergraduate or graduate studies in biomedical engineering is highly desired Experience with multimodal data integration and systems combining images, video, and speech is highly desired. Experience with cloud computing platform, such as AWS or Azure is highly desired. Experience working with robotic simulation is desired. Experience in medical imaging AI development is highly desired Background in robotics or automation technologies is advantageous. Background in automated vehicle or robotic guidance is highly desired #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $135,520.00-$203,280.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

Women's Health and X-ray is pursuing a strategic initiative to unlock incremental revenue through the development of Digital SaaS solutions. These innovative applications will be layered onto the existing global install base of Mammography (Mammo), Digital Breast Tomosynthesis (DBT), and X-ray devices-transforming hardware into intelligent platforms that deliver enhanced clinical and operational value. The Staff Data Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and consultancy development environment. In this role, you will contribute to the development and deployment of modern machine learning, operational research, semantic analysis, and statistical methods for finding structure in large data sets. The project centers on the development of solutions that leverage AI-driven guidance to assist patients throughout radiologic procedures. The system integrates advanced technologies including computer vision, robotics, and intelligent control to coordinate imaging tasks. As a Staff Data Scientist, you will be part of a data science or cross-disciplinary team on commercially facing development projects, typically involving large, complex data sets. These teams typically include statisticians, computer scientists, software developers, engineers, product managers, and end users, working in concert with partners in GEHC business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. Job Description No OPT or Sponsorship for this role This role is a hybrid position, in-office 2-3 days/week In this role, you will: * Work with customers to capture data and analytics requirements * Develop, verify, and validate analytics to address customer needs and opportunities. * Work alongside software developers and software engineers to translate algorithms into commercially viable products and services. * Work in technical teams in development, deployment, and application of applied analytics, predictive analytics, and prescriptive analytics. * Perform exploratory and targeted data analyses using descriptive statistics and other methods. * Work with data engineers on data quality assessment, data cleansing and data analytics * Generate reports, annotated code, and other projects artifacts to document, archive, and communicate your work and outcomes. * Communicate methods, findings, and hypotheses with stakeholders. * Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job opening. Requirements: Education- * Bachelor's Degree in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math) * Master's or PhD is advantageous * Minimum of 6 years of professional experience in AI product development. Technical Expertise- * Demonstrated skill in data management methods * Demonstrated skill in feature extraction and realtime analytics development and deployment * Demonstrated skill in prescriptive analytics and analytic prototyping Specific skills include- * Proficiency in python and deep learning frameworks such as Tensorflow, PyTorch and open CV * Strong background in AI image processing and computer vision algorithms, including training and fine-tuning image classification and segmentation models * Experience with model optimization for latency and throughput in online systems. * Experience with large-scale CNNs, vision transformers, and self-supervised learning. * Experience with the full AI lifecycle, including data curation, model development, and model validation for production. Proven ability to collaborate with ML engineers to integrate models into production. Skilled in model validation for product readiness, with a strong focus on writing production-quality, maintainable code. Domain Knowledge- * Experience in medical device development is considered a strong asset. * Demonstrated skill in defining and delivering customer value in these areas Leadership- * Demonstrated skill at working in a team setting * Demonstrated skill in critical thinking and problem solving methods * Demonstrated skill in presentation and influencing skills Desired Characteristics: * Undergraduate or graduate studies in biomedical engineering is highly desired * Experience with multimodal data integration and systems combining images, video, and speech is highly desired. * Experience with cloud computing platform, such as AWS or Azure is highly desired. * Experience working with robotic simulation is desired. * Experience in medical imaging AI development is highly desired * Background in robotics or automation technologies is advantageous. * Background in automated vehicle or robotic guidance is highly desired #Hybrid #LI-MH1 We will not sponsor individuals for employment visas, now or in the future, for this job opening. For U.S. based positions only, the pay range for this position is $135,520.00-$203,280.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement. Additional Information GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees. Relocation Assistance Provided: No

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

+ Process, cleanse, and verify the integrity, quality, and reliability of data used for analysis, reporting, and predictive modeling. + Perform ad-hoc and recurring analyses, presenting results and insights in a clear, concise manner to support business decision-making. + Analyze large, complex datasets to extract meaningful insights, selecting appropriate statistical, analytical, and machine learning techniques based on the problem context. + Select relevant features and build, evaluate, and optimize classification and predictive models using machine learning techniques. + Apply data mining and advanced analytical methods to identify trends, patterns, and relationships within structured and unstructured data. + Extend and enrich customer and business datasets using third-party data sources when required to improve analytical outcomes. + Enhance data collection and preparation procedures to ensure relevant, high-quality inputs for analytic and machine learning systems. + Use data modeling and evaluation strategies to identify patterns and accurately predict unseen or future instances. + Collaborate with business and technical stakeholders to align analytical solutions with business objectives. + Adhere to the Underwriters Laboratories Code of Conduct and follow all physical and digital security, data governance, and compliance practices. + Perform other related duties as directed in support of analytics and data science initiatives. + Collaborate with business stakeholders to gather, analyze, and document requirements, translating needs into BRDs, user stories, and functional specifications. + Analyze large, complex datasets using statistical and analytical techniques to identify trends, patterns, and actionable insights. + Build and maintain dashboards, reports, and data visualizations using Power BI, Tableau, or similar tools. + Apply statistical methods and basic machine learning models to support forecasting, prediction, and business decision-making. + Perform ad-hoc and recurring analyses to support both operational reporting and strategic initiatives. + Process, cleanse, validate, and maintain data accuracy and integrity across analytical datasets. + Enhance data collection processes and integrate third-party data sources to improve analytical coverage and model performance. + Communicate analytical findings and recommendations clearly to both technical and non-technical audiences. + Partner with development teams using Azure DevOps to manage work items, track progress, and ensure timely delivery. + Support data science and analytics initiatives using SQL, Python, R, and Excel. Collaborate with data engineering teams to support analytics pipelines and data lake initiatives. Required: + Master's degree in Data Science, Data Analytics, Computer Science, or related field + 3-5 years of experience in data analytics or data science roles + Strong proficiency in SQL, Python, and R + Experience with Power BI, Tableau, or similar visualization tools, including data modeling and DAX + Strong analytical and problem-solving skills with attention to detail + Experience gathering and documenting business requirements + Familiarity with Agile methodologies and Azure DevOps + Excellent communication, interpersonal, and stakeholder management skills + Understanding of statistical methods and probability theory Preferred: + Experience with machine learning frameworks such as scikit-learn, TensorFlow, or Keras + Experience with Salesforce data and reporting + Experience in business services or manufacturing industries + Familiarity with NLP or deep learning techniques What you'll experience working for ULS UL Solutions has been pioneering change since 1894 and we're still leading the way. From day one, we've blazed a trail protecting the planet and everyone on it. Our teams have influenced billions of products, plus services, software offerings and more. We break things, burn things and blow things up. All in the name of safety science. That's where you come in - because none of it could happen without you. It takes passion to protect people, problem-solving to safeguard personal data and conviction to make the world a more sustainable place. It takes bold ideas and brilliant minds to build a better world for future generations across the globe. This is more than a job. It's a calling. A passion to use our expertise and play our part in creating a more secure, sustainable world today - and tomorrow. As a member of our safety science community, you'll use your ideas, your energy and your ambition to innovate, challenge and ultimately, help create a safer world. Everyone here is unique. But we're also a global community, working together to help create a safer world. Join UL Solutions and you can connect with the brightest minds in the business, all bringing their distinct perspectives and diverse backgrounds together to deliver real change. Empowering our customers to keep the world safe means thinking ahead. It means investing in training and empowering our people to learn and innovate. At UL Solutions, we help build a better future - one where everyone benefits. Join UL Solutions to be at the center of safety. To learn more about us and the work we do, visit UL.com Total Rewards: We understand compensation is an important factor as you consider the next step in your career. The estimated salary range for this position is $80,000 to $100,000 and is based on multiple factors, including job-related knowledge/skills, experience, geographical location, as well as other factors. This position is eligible for annual bonus compensation with a target payout of 10% of the base salary. This position also provides health benefits such as medical, dental and vision; wellness benefits such as mental and financial health; and retirement savings (401K) commensurate with the standard rewards offered in each individual location or country. We also provide full-time employees with paid time off including vacation (15 days), holiday including floating holidays (12 days) and sick time off (72 hours). Accepting applications until 1/15/2026 UL LLC has been and will continue to be an equal opportunity employer. To assure full implementation of this equal employment policy, we will take steps to assure that: Persons are recruited, hired, assigned and promoted without regard to race, color, age, sex or gender, sexual orientation, gender identity, gender expression, transgender status, religion, creed, national origin, ethnicity, citizenship, ancestry, disability, genetic information, military or veteran status, pregnancy, marital or familial status, or any other protected category under applicable law.

At Young Innovations, we foster a dynamic environment where team members make an impact every day as part of a collaborative, inclusive culture. Together, we serve the dental profession and their patients, united in our mission of achieving a Lifetime of Oral Health™ We embrace diverse perspectives and encourage bold thinking, challenging traditional approaches with a bias for action. Whether you're looking to expand your skills or grow your career, Young is here to support your goals and continuous learning. At Young, YOU are at the core of what we do. Position Overview: The Data Scientist will drive adoption and implementation of artificial intelligence, machine learning, and strategic analytics within our global data Fabric environment. This Data Scientist is ideal for someone with a strong foundation in statistical analysis, machine learning, and natural language processing, particularly in the application and fine-tuning of Large Language Models (LLMs). This professional will bring expertise in correlation analysis, predictive modeling, and the ability to work with large, complex datasets to drive data-driven decision-making across the organization. You'll like this role if: You like building processes from the ground up Partnering across the business Wearing multiple hats in a face paced environment Why You'll Love Working Here: Medium sized company - not too big, not too small - just enough to get things done and see your impact. Did we say benefits? Full medical, dental, vision, 401k, parental leave, paid holidays, paid time off, and more! You will have the ability to create everything from the ground up and fully own this function. Who you'll work with: Stakeholders from all across the business - IT, Supply Chain, Finance, Marketing, and more. What You'll Do: AI/ML Development & Integration Integrate large language models (LLMs)-such as OpenAI, BERT, and LLaMA-into business processes and products to enable text summarization, classification, personalized recommendations, and conversational interfaces. Build and optimize predictive models using advanced machine learning techniques to support forecasting, customer segmentation, retention strategies, fraud detection, and other high-impact business functions. Stay up to date with advancements in AI/ML, NLP, and data analytics; proactively recommend new tools, frameworks, and best practices to enhance capabilities. Statistical & Analytical Modeling Perform statistical analyses to uncover correlations and causal relationships across structured and unstructured data, identifying key drivers of business performance and emerging trends. Develop customer segmentation frameworks by analyzing behavioral, transactional, and demographic data to support personalized marketing and engagement initiatives. Translate complex results into clear, actionable insights through dashboards, visualizations, and reports for both technical and non-technical audiences. Leverage large-scale datasets (e.g., customer interactions, transaction records) using distributed computing and modern data platforms to support data-driven decision-making. Cross Functional & Strategic Collaboration Partner with Product, Marketing, Commercial, Customer Service, Finance, and Operations teams to understand analytical needs and deliver impactful solutions. Support enterprise-wide initiatives, including M&A data integration and other strategic analytics projects. Qualifications What You'll Bring: Bachelors degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Masters, MBA and/or PhD a plus 3+ years of professional experience in data science, analytics, or machine learning roles Hands-on experience working with and implementing Large Language Models (LLMs) and NLP techniques Experience working in a private equity is a plus Technical Skills Strong foundation in statistical analysis and predictive modeling, including correlation analysis, hypothesis testing, regression, classifications, and time-series forecasting using tools like Phython (SciPy, statsmodels), R, or SaaS Experience working with large datasets and data warehouses using SQL and cloud platforms (i.e. AWS, GCP, Azure) Strong proficiency in Python and experience with ML frameworks (ie. PyTorch, TensorFlow) The pay range reflects the minimum and maximum target for the position at the time of posting. Within the range, the compensation will be determined based on education/training, skill set, experience, and other organizational needs. Physical Requirements/Working Locations: Office/Remote Environment This position is based in an office environment and is primarily sedentary in nature. It requires regular use of standard office equipment, including computers, phones, photocopiers, scanners, filing cabinets, and fax machines. Some roles may involve wearing a headset and sustained computer use for 8 or more hours per day. Employees may be required to sit, stand, or walk for extended periods, and occasional bending, lifting, or carrying items up to 50 pounds may be necessary. We are an Equal Opportunity Employer and value diversity at all levels of the organization. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

Must Have Technical/Functional Skills * Strong experience in SDLC delivery, including waterfall, hybrid and Agile methodologies. Experience delivering in an agile environment, * Experience of implementing and delivering data solutions and pipelines on AWS Cloud Platform - using Redshift * Strong in Python hands on experience. Not expected to code in depth but lead a team of developers and provide thought leadership, guidance and recommendations. * Apache Airflow experience is a plus * A strong understanding of data modelling, data structures, databases, and ETL process and Data wharehousing layers * An in-depth understanding of large-scale data sets, including both structured and unstructured data * Ability to analyze and troubleshoot complex data / SQL issues * Knowledge of ETL (Extract, Transform, Load) processes * Understanding of big data concepts * Knowledge and experience of delivering CI/CD and DevOps capabilities in a data environment Roles & Responsibilities Lead a team of developers, code reviews, suggest improvements in code, provide thought leadership Work on Proposal and POCs, developing prototype and reference models to help in tailoring Offerings & value propositions. Lead, Mentor and groom other team members to work on AWS technologies Generic Managerial Skills, If any Need to have some experience in leading technical team. Salary Range: $100,000 - $130,000 a Year TCS Employee Benefits Summary: Discretionary Annual Incentive. Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans. Family Support: Maternal & Parental Leaves. Insurance Options: Auto & Home Insurance, Identity Theft Protection. Convenience & Professional Growth: Commuter Benefits & Certification & amp; Training Reimbursement. Time Off: Vacation, Time Off, Sick Leave & Holidays. Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing. #LI-SP1

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Data Modeler - Life Insurance Domain - ONSITE to join our team in Addison, Texas (US-TX), United States (US). Day to Day Job Duties: * Design high-quality domain (canonical) data models, consumption-layer dimensional models, ensuring compliance with data architecture and governance standards. * Collaborate with business and technical stakeholders to define, document, and govern how data flows across the organization - supporting analytics, reporting, operational use cases, and advanced data science initiatives. * Work under the guidance of Core Data Architects to create data models for the different layers (Domain and Consumption) of our enterprise data platform hosted in Databricks on Azure. * Collaborate with Application Data SMEs to understand the complete structure and business definition of the source data. * Collaborate with business analysts and business analytics SMEs to understand the BUS Matrix and associated requirements definition for the data needs. * Create and maintain data model using ER Studio tool, complete with DDL generation. * Define end to end data lineage (S2T) and document them on Confluence pages as per given standards. * Generate SQL query snippets for explaining data transformation logic. * Profile and analyze source data to ensure data quality and recommend data refinement and cleansing methods. * Perform necessary reviews and obtain sign offs prior to delivery to the DEV and QA teams. * Perform handoff walkthroughs of model and S2T to the DEV team and participate in design review sessions for any refinements as necessary. * Perform handoff walkthroughs of model and S2T to the QA team and participate in defect triage sessions as necessary. * Build SQL queries for end consumption business views in alignment with the business requirements. * Participate with business UAT teams to clarify data model questions and business view questions. * Provide any other necessary support through the engineering build, QA and UAT phases. Basic Qualifications: * 5+ years in data architecture, data modeling, or enterprise analytics. * 3+ years of experience in life insurance, annuities, policy administration, claims, actuarial, or related financial services data will be excellent. * 5 years' experience working with Data Modeling tools (e.g., Erwin, ER/Studio, or similar) Preferred Skills: * Strong experience with canonical / domain modeling, dimensional modeling, and semantic modeling * Proficiency in documenting data lineage and metadata (e.g., Purview, Collibra, Alation, or native Databricks capabilities). * Understanding of ACORD data standards, product hierarchies, distribution channels, customer/party models, and regulatory reporting will be an added advantage. * Any prior experience with the conceptual understanding of IBM IIW, Teradata ILDM, Oracle OIDF, etc., will be helpful * Proficiency in defining SQL queries is a must * Experience working with Azure Databricks (Delta Lake, Unity Catalog, DBFS, SQL endpoints) will be an added advantage * Familiarity with Data Mesh, Kimball, Inmon, Data Vault, and Lakehouse modeling patterns. * Excellent communication and ability to translate complex concepts for non-technical audiences. * Ability to lead architecture discussions and influence stakeholders. * Comfortable working in agile delivery environments. * Strong documentation habits and detail orientation. * Experience with data contracts, API modeling, or event-driven architecture will be helpful * Experience working with Alteryx and/or Tableau will be an added advantage * Experience with SSIS will be helpful * Knowledge of Python will be helpful Degree: BA or BS degree with a STEM major is preferred. Relevant advanced degree is a plus. #LI-NorthAmerica About NTT DATA NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D. Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only **************** ******************************* email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, ************************************* NTT DATA endeavors to make ********************** accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at ************************************* This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

As a Data Engineer your primarily responsible for maintaining and enhancing the Registry's data acquisition, integration, and ETL pipelines in support of both operational and business intelligence data stores. The incumbent is responsible for applying diverse data cleansing and transformation techniques as well as the ongoing management and monitoring of all Registry databases. This will include addressing issues pertaining to the ongoing operations and optimization of the data environment including performance, reliability, logging, scalability, etc. You will also provide support for the organizations database systems, warehouse, marts, and supporting applications. You will also lead the efforts to develop a unified enterprise data model for the organization. As a Data Engineer you will also design, develop, and maintain high\-performance data platforms on premise and in Microsoft Azure cloud\-based environments including leading the development of a data warehouse environment to support the Registry's business intelligence roadmap. You will champion efforts that will ensure that the organization's business intelligence applications remain relevant for use by internal business groups by actively participating in strategy and project planning discussions. Work collaboratively with Registry participants and internal support teams, identify and implement changes that improve system performance and the user experience. Design, develop, and maintain the ETL pipelines using SSIS that standardized raw data from multiple data sources and optimize both the operational and dimensional\/star schema data model necessary for transactional systems and business intelligence applications. Gather business and functional requirements and translate these requirements into robust, scalable, operable solutions aligning to an overall data architecture. Extract, transform, and load data to and from various data sources including relational databases, NoSQL databases, web services, and flat files. Produce various technical documents such as ER diagrams, table schemas, data lineage, API documents, etc. Provide leadership and oversight on database architectural design for existing systems including database administration, performance monitoring, and troubleshooting. Provide complex analysis, conceptualize, design, implement, and develop solutions for critical data\-centric projects. Perform dataflow, system and data analysis, and develop meaningful and useful presentation of data in downstream applications. Plan and implement standards, define\/code conformed global and reusable objects, perform complex database design and data repository modelling. Monitor ETL processes, system audits, dashboard reporting, and presentation layer functioning and performance. Proactively identify and implement procedures that resolve performance and\/or data reporting issues. Support the optimal performance of the organization's data and BI systems. Monitor database performance, provide optimization recommendations, and implement recommendations. Follow the release cycles and implement on\-time delivery of task assignments, defect correction, change requests, and enhancements. Troubleshoot and solve technical problems. Perform other responsibilities as assignment by management. Requirements 3 years of relevant work experience in a data engineering role leveraging SQL, SSIS; including design and support of ETL routines that support the import of data from multiple data sources 2 years of experience with PowerBI 3 years of data warehousing experience including the design, development, and ongoing support of star or snowflake data schemas to support business intelligence applications 5 years of database administration or database development experience in a SQL or MySQL environment; knowledge of Microsoft technology stack; background in Azure Infrastructure as a Service environment desired Experience working with both structured and unstructured data Demonstrated understanding of Business Intelligence and data solutions including cubes, data warehouses, data marts, and supporting schema types (star, snowflake, etc.) Data modeling experience in building logical and physical data models Applied knowledge of Microsoft Security\/Authentication Concepts (Active Directory, IIS, Windows OS) Strong technical planning skills with the ability to prioritize and multitask across a number of work streams Polished presentation skills; experience creating and presenting findings to executive level staff Strong written, verbal and interpersonal communication skills, with an ability to communicate ideas and solutions effectively Must be highly collaborative with the ability to manage and motivate project teams and meet deliverables Ability to build strong stakeholder relationships and translate complex technical concepts to non\-technical stakeholders Experience with Data Warehouse is a plus Knowledge of SSRS is a plus "}}],"is Mobile":false,"iframe":"true","job Type":"Full time","apply Name":"Apply Now","zsoid":"61675964","FontFamily":"PuviRegular","job OtherDetails":[{"field Label":"Industry","uitype":2,"value":"IT Services"},{"field Label":"Job Opening ID","uitype":111,"value":"ZR_157_JOB"},{"field Label":"City","uitype":1,"value":"Des Plaines"},{"field Label":"State\/Province","uitype":1,"value":"Illinois"},{"field Label":"Zip\/Postal Code","uitype":1,"value":"60018"}],"header Name":"Data Engineer","widget Id":"**********00072311","is JobBoard":"false","user Id":"**********00096003","attach Arr":[],"custom Template":"5","is CandidateLoginEnabled":false,"job Id":"**********09521003","FontSize":"15","google IndexUrl":"https:\/\/360techstaffing.zohorecruit.com\/recruit\/ViewJob.na?digest=tX.9.R6Jttlwt1o4GuBo5d1K0gqwm9rHdzPF1FZdX24\-&embedsource=Google","location":"Des Plaines","embedsource":"CareerSite","indeed CallBackUrl":"https:\/\/recruit.zoho.com\/recruit\/JBApplyAuth.do"}

You are ready to turn data into decisions that shape the future of healthcare. Join a purpose-driven organization where your expertise in data science, machine learning, and advanced analytics will make a meaningful impact on the orthopaedic community. As an Advanced Analytics and Data Science Engineer, you'll play a pivotal role in designing and implementing predictive models, uncovering actionable insights, and driving data-informed strategies across Membership, Marketing, Education, and our Annual Meeting. Your work will spark innovation, elevate member experience, and help us deliver greater value to the professionals we serve. If this sounds like you, please read on! In this role, you'll lead the development of machine learning algorithms, statistical models, and AI-driven solutions to solve complex business challenges. You'll collaborate with stakeholders to identify opportunities, analyze large datasets, and deliver intelligence that drives smarter decisions. Your ability to communicate technical findings in a clear, business-focused manner and align data initiatives with organizational goals will be essential to your success. Travel: Up to 5 days per year Qualifications: Required: Strong foundation in data science, AI/ML, and advanced analytics (Bachelor's required, Master's preferred) 7+ years of experience in data analysis and modeling, including 5+ years applying machine learning techniques in real-world scenarios Hands-on expertise in Python, R, SQL, and ML frameworks such as Scikit-Learn or TensorFlow Experience with statistical modeling, A/B testing, forecasting, and anomaly detection Ability to translate ambiguous business problems into clear, data-driven solutions Desired: Experience with healthcare or medical associations, Agile methodologies, and cloud platforms like Microsoft Azure Familiarity with data visualization tools (Power BI or similar) Salary Range: $105,000 ‒ $115,000, depending on qualifications and experience. Ready to make an impact? Your next big opportunity starts here! Apply now and help us turn data into decisions that matter. Please share the following: Clearly communicate why you are the ideal candidate for this role, providing specific examples and experiences as proof points. Resumes must be accompanied by a cover letter with salary expectations to be considered. Please note: This position is based in Rosemont, Illinois and is open to applicants who are able to commute at least twice per week to this office. Applicants must already be authorized to work in the United States on a full-time basis. We are unable to sponsor or take over sponsorship of work visas. JOB CODE: 1000148

Primary Purpose: Supports CHEST's growing data ecosystem by supporting and monitoring high-quality data pipelines, performing advanced analytics, and supporting our enterprise AI analytics platform. This role works closely with stakeholders across the organization to deliver accurate insights, maintain reliable data systems, and support key strategic initiatives such as Customer 360 and leadership-level analytics. This position is located in Glenivew, IL. Essential Functions/Responsibilities: Demonstrates a passion for crushing lung disease and embodies CHEST values: honor the team, lead with integrity, leverage passion, cultivate innovation, and have serious fun. CHEST Data Analytics and Engineering: Provide SQL and data support to the Analytics team. Conduct exploratory analysis and validate analytical models. Support Customer 360 segmentation and data products. Develop and maintain SQL queries and data models using Snowflake. Maintain and support ETL/ELT data pipelines and curated datasets. Integrate CHEST proprietary data with third-party sources. Monitor data jobs and troubleshoot workflow issues in support of Data Architecture & Engineering Team. Analytics Platform Support: Work with leadership and users to understand deep-dive questions. Validate AI-generated results and ensure data accuracy. Maintain curated datasets and support platform improvements. Provide documentation and training to help users get the most value from the platform. Project and Agile Support: Translate business needs into user stories and Jira tasks. Participate in Agile/SCRUM ceremonies and maintain project notes. Communicate status updates, risks, and findings to stakeholders. Collaboration: Align with cross-functional teams to support organizational goals. Share best practices for SQL, data modeling, and analytics. Requirements Required Qualifications: 5 years of related experience Strong SQL skills (Snowflake, MS SQL preferred) Experience with data modeling Analytical experience with dataset exploration and model validation Strong communication skills to support both technical and non-technical users Familiarity with Agile/SCRUM and Jira Preferred Qualifications: Experience with AI analytics platforms or prompt-driven insights tools Customer 360 or identity-resolution experience Python or dbt experience is a plus MS SQL and/or Snowflake monitoring, troubleshooting, and resolution of job failures. CRM Support in NetFORUM for job creation and maintenance. Benefits While we offer benefits that you'd expect from any forward-thinking, progressive organization, we offer a lot of extras too, including the standardization of a hybrid working environment. From tuition reimbursement to parental leave, we offer the benefits that you want most. Health and Wellness: Medical, dental, and vision insurance*; flexible spending account*; long- term and short-term disability insurance; life/AD&D insurance Work/life Balance: 37.5-hour work week with flexible start times; Paid Time Off; Paid parental leave; Hybrid work environment; Paid holidays Giving and sharing: 401(k) with matching contribution from CHEST*; Health club and fitness reimbursement; Employee counseling program; Reimbursement for professional memberships; Tuition Reimbursement Office perks: Lunch & Learns; Annual Health Fair; Professional development courses; Volunteering opportunities; Annual Holiday Party; In-office “Busy Breaks” Additional Information The annual base salary range for this position is USD $105,000 to USD $115,000. This pay range represents base pay only and excludes any additional items such as incentives, bonuses, or other items. CHEST considers factors such as, but not limited to, the scope and responsibilities of the position, the candidate's work experience, education/training, key skills, internal peer equity, and market and organizational considerations when extending an offer. CHEST is proud to be an equal opportunity employer and does not discriminate on the basis of race, color, national origin, sex, gender identity, religion, sexual orientation, age, disability, parental status, veteran status, or any other protected status under applicable laws. At CHEST, our employees come from different backgrounds with various lived experiences and dynamic strengths. We strive to continuously improve our way of working to reflect our commitment to inclusion and equity and build a workforce that reflects the communities that we serve. And that means we need you! Your experiences may only perfectly align with some qualifications listed in the job description. But if you are excited by this position, we highly encourage you to consider still applying. You may be just the right candidate to help us with our mission to improve patient care. This description was designed as a convenience to acquaint employees and managers with the essential elements of the position. It is solely to summarize basic duties, and it is not intended to be a contract or guarantee of employment or any specific terms or conditions of employment. *Participation is voluntary

at Parts Town See What We're All About As the fastest-growing distributor of restaurant equipment, HVAC and residential appliance parts, we like to do things a little differently. First, you need to understand and demonstrate our Core Values with safety being your first priority. That's key. But we're also looking for unique enthusiasm, high integrity, courage to embrace change…and if you know a few jokes, that puts you on the top of our list! Do you have a genius-level knowledge of original equipment manufacturer parts? If not, no problem! We're more interested in passionate people with fresh ideas from different backgrounds. That's what keeps us at the top of our game. We're proud that our workplace has been recognized for its growth and innovation on the Inc. 5000 list 15 years in a row and the Crain's Fast 50 list ten times. We are honored to be voted by our Chicagoland team as a Chicago Tribune Top Workplace for the last four years. If you're ready to roll up your sleeves, go above and beyond and put your ambition to work, all while having some fun, let's chat - Apply Today! Perks * Parts Town Pride - check out our virtual tour and culture! * Quarterly profit-sharing bonus * Hybrid Work schedule * Team member appreciation events and recognition programs * Volunteer opportunities * Monthly IT stipend * Casual dress code * On-demand pay options: Access your pay as you earn it, to cover unexpected or even everyday expenses * All the traditional benefits like health insurance, 401k/401k match, employee assistance programs and time away - don't worry, we've got you covered. The Job at a Glance The Senior Data Engineer - Palantir Foundry is a hands-on engineer responsible for building, curating, and operationalizing data pipelines, ontologies, and applications within Palantir Foundry. This role partners closely with the Principal Data & Semantic Architect, GCP Data Engineering teams, and business stakeholders to turn enterprise data into trusted analytics, workflows, and AI-enabled use cases. A Typical Day Palantir Foundry Engineering * Design, build, and maintain data pipelines in Palantir Foundry, using Pipeline Builder and Code Repositories (Python / PySpark / SQL). * Implement and extend ontology objects (entities, attributes, relationships, metrics) as defined by the Principal Data & Semantic Architect. * Map curated datasets into ontology-backed objects for reuse across analytics, applications, and workflows. * Ensure data quality, lineage, permissions, and reliability of Foundry datasets and objects. Application & Analytics Enablement * Build and support Foundry applications, operational workflows, and analytical views that leverage ontology-backed data. * Partner with analytics and business teams to translate requirements into performant Foundry implementations. * Support AI- and decision-oriented use cases by preparing ML-ready and feature-aligned datasets within Foundry. Platform & Integration Collaboration * Work closely with GCP Data Engineers to align Foundry pipelines with upstream ingestion and transformation patterns. * Collaborate with integration teams to ensure consistent sourcing from SAP, WMS, e-commerce, CRM, and third-party systems. * Follow clean-core and platform governance principles when integrating SAP and other enterprise systems. Governance, Quality & Operations * Adhere to enterprise data governance, security, and privacy standards within Foundry. * Participate in code reviews, testing, and release processes to ensure production readiness. * Monitor and troubleshoot data pipeline failures and performance issues. * Contribute to documentation and knowledge sharing across the Data & AI team. To Land This Opportunity * You have 5+ years of experience in data engineering, analytics engineering, or platform engineering roles. * You demonstrate hands-on experience building pipelines and transformations using Python, PySpark, and SQL. * You have experience working with modern data platforms and analytics tools. * You have a strong proficiency in Python / PySpark and SQL. * You're experienced with Palantir Foundry (pipelines, ontology, apps) or strong ability to ramp quickly. * You're familiar with cloud data warehouses such as BigQuery or equivalent. * You have an understanding of data quality, lineage, and access control concepts. About Your Future Team We are about working hard and playing hard. We are about having each others back, taking on responsibility and making things better for all. We are gritty, roll back your sleeves and get the job done with an inclusive, positive can-do attitude. We enjoy our social events, celebrating with food (of course) and celebrating our team members life's milestones and events At Parts Town, we value transparency and are committed to ensuring our team members feel appreciated and supported. We prioritize our positive workplace culture where collaboration, growth, and work-life balance are celebrated. The salary range for this role is $115,753.54- - 156,213.68 salary which is based on including but not limited to qualifications, experience, and geographical location. Parts Town is a pay for performance-company. In addition to base pay, some roles offer a profit-sharing program, and an annual bonus depending on the role. Our comprehensive benefits package includes health, dental and vision insurance, 401(k) with match, employee assistance programs, paid time off, paid sick time off, paid holidays, paid parental leave, and professional development opportunities. Parts Town welcomes diversity and as an equal opportunity employer all qualified applicants will be considered regardless of race, religion, color, national origin, sex, age, sexual orientation, gender identity, disability or protected veteran status.

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 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 3 years of experience in application development (Internship experience does not apply) At least 1 year of experience in big data technologies Preferred Qualifications: 5+ years of experience in application development including Python, SQL, Scala, or Java 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) 2+ year experience working on real-time data and streaming applications 2+ years of experience with NoSQL implementation (Mongo, Cassandra) 2+ years of data warehousing experience (Redshift or Snowflake) 3+ 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: $147,100 - $167,900 for Senior Data Engineer McLean, VA: $161,800 - $184,600 for Senior Data Engineer Richmond, VA: $147,100 - $167,900 for Senior Data Engineer Riverwoods, IL: $147,100 - $167,900 for Senior 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 ; 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 1- or via email at . 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).

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

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.