Senior data scientist jobs in West Allis, WI - 90 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.

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.

**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.

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

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

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

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

CapB is a global leader on IT Solutions and Managed Services. Our R&D is focused on providing cutting edge products and solutions across Digital Transformations from Cloud, AI/ML, IOT, Blockchain to MDM/PIM, Supply chain, ERP, CRM, HRMS and Integration solutions. For our growing needs we need consultants who can work with us on salaried or contract basis. We provide industry standard benefits, and an environment for LEARNING & Growth. For one of our going on project we are looking for a Business Intelligence Data Modeler. The position is based out of Milwaukee. Responsibilities: The Business Intelligence Analyst performs a variety of project-oriented tasks to support the information needs of the organization. This position is responsible for all phases of reporting, decision support, and data analysis activities including report design, measure development, data collection, summarization, and validation. The BI Analyst exercises independent judgement and discretionary decision making related to managing multiple and more complex reporting projects. The BI Analyst is proficient with analytical and reporting tools, database development, ETL processes, query languages, and database and spreadsheet tools. The BI Analyst will participate in reporting and presentations to various levels of management and staff and may also be included in action plan development. BI Analyst will have in depth experience with Power BI to create dashboards, data exploration, visualization, and data storytelling from concept to final deliverables. Advanced experience with Power BI, Power BI dataflow and dashboard. Technical expertise with data modeling and design to interact with multiple sources of data. Ability to write complex DAX code and SQL queries for data manipulation. Skills: 10 years experience required to Data analysis. 10 years experience required to Dashboarding/Business Objects Xcelsius.

Charter Manufacturing is a fourth-generation family-owned business where our will to grow drives us to do it better. Join the team and become part of our family! Applicants must be authorized to work for ANY employer in the U.S. Charter Manufacturing is unable to sponsor for employment visas at this time. This position is hybrid, 3 days a week in office in Mequon, WI. BI&A- Lead Data Engineer Charter Manufacturing continues to invest in Data & Analytics. Come join a great team and great culture leveraging your expertise to drive analytics transformation across Charter's companies. This is a key role in the organization that will provide thought leadership, as well as add substantial value by delivering trusted data pipelines that will be used to develop models and visualizations that tell a story and solve real business needs/problems. This role will collaborate with team members and business stakeholders to leverage data as an asset driving business outcomes aligned to business strategies. Having 7+ years prior experience in developing data pipelines and partnering with team members and business stakeholders to drive adoption will be critical to the success of this role. MINIMUM QUALIFICATIONS: Bachelor's degree in computer science, data science, software engineering, information systems, or related quantitative field; master's degree preferred At least seven years of work experience in data management disciplines, including data integration, modeling, optimization and data quality, or other areas directly relevant to data engineering responsibilities and tasks Proven project experience designing, developing, deploying, and maintaining data pipelines used to support AI, ML, and BI using big data solutions (Azure, Snowflake) Strong knowledge in Azure technologies such as Azure Web Application, Azure Data Explorer, Azure DevOps, and Azure Blob Storage to build scalable and efficient data pipelines Strong knowledge using programming languages such as R, Python, C#, and Azure Machine Learning Workspace development Proficiency in the design and implementation of modern data architectures and concepts such as cloud services (AWS, Azure, GCP) and modern data warehouse tools (Snowflake, Databricks) Experience with database technologies such as SQL, Oracle, and Snowflake Prior experience with ETL/ELT data ingestion into data lakes/data warehouses for analytics consumption Strong SQL skills Ability to collaborate within and across teams of different technical knowledge to support delivery and educate end users on data products Passionate about teaching, coaching, and mentoring others Strong problem-solving skills, including debugging skills, allowing the determination of sources of issues in unfamiliar code or systems, and the ability to recognize and solve problems Excellent business acumen and interpersonal skills; able to work across business lines at a senior level to influence and effect change to achieve common goals Ability to describe business use cases/outcomes, data sources and management concepts, and analytical approaches/options Demonstrated experience delivering business value by structuring and analyzing large, complex data sets Demonstrated initiative, strong sense of accountability, collaboration, and known as a trusted business partner PREFERRED QUALIFICATIONS INCLUDES EXPERIENCE WITH: Manufacturing industry experience specifically heavy industry, supply chain and operations Designing and supporting data integrations with ERP systems such as Oracle or SAP MAJOR ACCOUNTABILITIES: Designs, develops, and supports data pipelines for batch and streaming data extraction from various sources (databases, API's, external systems), transforming it into the desired format, and load it into the appropriate data storage systems Collaborates with data scientists and analysts to optimize models and algorithms for in accordance with data quality, security, and governance policies Ensures data quality, consistency, and integrity during the integration process, performing data cleansing, aggregation, filtering, and validation as needed to ensure accuracy, consistency, and completeness of data Optimizes data pipelines and data processing workflows for performance, scalability, and efficiency. Monitors and tunes data pipelines for performance, scalability, and efficiency resolving performance bottlenecks Establish architecture patterns, design standards, and best practices to accelerate delivery and adoption of solutions Assist, educate, train users to drive self-service enablement leveraging best practices Collaborate with business subject matter experts, analysts, and offshore team members to develop and deliver solutions in a timely manner Embraces and establishes governance of data and algorithms, quality, standards, and best practices, ensuring data accuracy We offer comprehensive health, dental, and vision benefits, along with a 401(k) plan that includes employer matching and profit sharing. Additionally, we offer company-paid life insurance, disability coverage, and paid time off (PTO).

Data Engineer - Milwaukee, WI. Seeking a candidate with Bachelor's degree in Computer Science or closely related field. Mail CV to Attn: HR/Job #1203, GCOM Software LLC, 9175 Guilford Road #218 Columbia, MD 21046.

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

Continental Properties is looking for an action-oriented, experienced Data Engineer II to join our Data Engineering and Analytics at our home office in Menomonee Falls, Wisconsin. Are you ready to transform data into actionable insights and drive innovation? As a Data Engineer II at Continental Properties, you'll design, develop, and support data solutions that empower our teams and shape our business decisions. You'll work with both structured and unstructured data, collaborating with business users, and leading technical initiatives that make a real difference. We are embracing a hybrid working environment and you can work a combination of in the office and remote. Initial onboarding may require more in-office days, after which you'll transition to our standard hybrid schedule. Please note: We are unable to provide visa sponsorship for this position. Candidates must be legally authorized to work in the United States without sponsorship now or in the future. Attributes That Drive Success You thrive in fast-paced environments, adapting quickly and learning on the fly. You take the initiative, stay focused on what moves the business forward, and use ingenuity to drive results. You own your results with accountability and an openness to feedback, embracing every experience as an opportunity to grow. You relish the opportunity to lead from where you are by influencing others, building connections, and turning insight into impact. Essential Responsibilities: You'll work with data from internal and external sources, using both cloud and on-premises environments Develop and support automated processes to clean, organize, and transform data into products and insights Make key decisions on complex data issues and help shape technical approaches for projects You'll design and develop data pipelines for warehousing, BI reporting, and analytics using tools like Matillion, DBT, Snowflake and Power BI Implement data quality and integrity checks, proactively identifying and resolving issues Collaborate with business users to understand analytics and reporting needs, and help identify the best data sources You'll assist business users with technical tasks, including data extracts, report creation, SQL, and troubleshooting You'll develop and maintain documentation for databases and Power BI datasets Skills for Success: You have a Bachelor's or Master's degree in Computer Science, Data Science, Finance, Statistics, Mathematics, or a related field You have 3-5 years of experience in a SQL-based data engineering or analytics role. You're skilled with data visualization tools (Power BI, Tableau, Qlik, or similar), databases (Microsoft SQL, MySQL, etc.), and other technical tools (Snowflake, Azure, Matillion, DBT, Python, R, REST API, AWS) You have experience developing complex queries, data modeling, and ETL processes in SQL, Python, R, or similar languages Why You'll Love Life at Continental: Our award-winning culture fosters innovation and empowers our team members to lead. Here are some of the reasons that our team members continue to vote for us as a Top Workplace: Career Growth: You'll have the tools, training, and opportunities for a meaningful career with long-term growth potential. We invest in your learning & development with paid professional memberships, certifications, and tuition reimbursement. Mental Health & Wellness: Your well-being matters. We provide comprehensive mental health support including but not limited to 8-free counseling sessions per year and access to additional wellness resources. Balance: We recognize that balance varies for everyone, and we support our team members with that in mind. Recharge with generous vacation time, 9-paid holidays, and half-days on Fridays during designated months. Community & Connection: Build relationships through informal gatherings, lunches, community and company events, volunteer opportunities, and a vibrant social culture. Learn more about recent Continental events here! Culture of Belonging: The Continental IDEA (Inclusion, Diversity, Equity, & Allies) is our commitment to evolving our culture where team members feel a sense of belongingness each day. Our You Belong Here Initiative and Business Resource Groups focus on fostering an inclusive and equitable work environment for all. Performance Incentives: Participate in our Building Above and Beyond (BAAB) incentive program that rewards team members annually based on company goals and achievements. Industry-Leading Benefits: Enjoy a comprehensive benefits package, including Medical, Dental, and Vision Plans, flexible spending accounts, 401(k) with company match, and company-paid life and disability insurance. Family Support: Support your growing family with 6-weeks paid parental leave and with family-forming & fertility resources (up to 12-weeks leave for birth mothers). We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace. We comply with the Americans with Disabilities Act (ADA), and all applicable state and local fair employment practices laws, and are committed to providing equal employment opportunities to qualified individuals with disabilities. For the benefit of our residents, the communities we serve, and our co-workers, all applicants are required to pass a post-offer criminal background check prior to joining the Continental team. We are committed to fair and equitable compensation practices. The posted salary range represents our good faith estimate of the base salary for this role at the time of posting. Final compensation is based on a variety of factors, including a candidate's experience, skills, qualifications, and internal equity. This range does not include bonus potential or other forms of compensation and benefits. Salary Range: $100,000 - $110,000

Job DescriptionOverview The Junior Data Engineer supports the design, development, and maintenance of data pipelines and data infrastructure. This role focuses on building reliable, scalable data solutions that enable analytics, reporting, and data-driven decision-making across the organization. Key Responsibilities Assist in building and maintaining data pipelines (ETL/ELT) Support data ingestion from internal and external sources Help clean, transform, and validate data for analytics use Monitor data jobs and troubleshoot data pipeline issues Maintain data models, schemas, and documentation Partner with data analysts and stakeholders to understand data needs Support data quality, reliability, and governance initiatives Follow best practices for version control, testing, and deployment Qualifications Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience) Experience with SQL and relational databases Familiarity with at least one programming language (Python preferred) Basic understanding of data warehousing concepts Experience with Git or version control tools Strong problem-solving and analytical skills Preferred Exposure to cloud platforms (AWS, Azure, or GCP) Familiarity with ETL tools or orchestration frameworks (Airflow, dbt, Fivetran, etc.) Understanding of data lakes and modern data stack concepts Experience working with large or complex datasets

Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers - New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring. Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law. Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system. Job Description: Associate Data Engineer As a Senior Consultant - Associate Data Engineer you will design, build, and optimize modern data solutions for our mid‑market and enterprise clients. Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will transform raw data into trusted, analytics‑ready assets that power dashboards, advanced analytics, and AI use cases. You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: * Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control. * Modeling & Storage: Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI. * Quality & Governance: Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub. * Client Delivery: Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences. * Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions. Qualifications: * Education - Bachelor's in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) * Experience - 2-3 years delivering production data solutions, preferably in a consulting or client‑facing role. * Technical Skills: Strong T‑SQL for data transformation and performance tuning. Python for data wrangling, orchestration, or notebook‑based development. Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines). * Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred * Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred * Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred * Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred

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

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.

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

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.

The Principal Data Engineer is a senior technical authority responsible for defining the organization's data architecture, setting long-term technical strategy, and solving the most complex data engineering challenges. This role influences company-wide data standards, mentors senior engineers, and partners with executive and cross-functional leaders to ensure data platforms scale with the business. Key Responsibilities Define and evolve the long-term data architecture and technical vision Design highly scalable, resilient data platforms and pipelines Set standards for data modeling, reliability, observability, and governance Lead complex, high-risk technical initiatives and migrations Serve as the escalation point for critical data incidents and root cause analysis Influence tool selection and technology adoption across the data stack Mentor Staff and Senior Data Engineers and elevate engineering excellence Partner with leadership to align data strategy with business goals Ensure data platforms support analytics, ML, and product use cases at scale Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 10+ years of experience in data engineering or related disciplines Expert-level SQL and strong proficiency in Python or similar languages Deep experience with data warehousing, data lakes, and distributed systems Proven track record of designing and operating large-scale data platforms Strong systems thinking and architectural decision-making skills Preferred Experience Cloud platforms (AWS, Azure, or GCP) Streaming and real-time systems (Kafka, Spark, Flink, etc.) Advanced data governance, security, and compliance practices Supporting ML, AI, or product-led data platforms Influencing technical direction without direct managerial authority