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Sr. Data Scientist (No Sponsorship or OPT)
Gehc
Senior data scientist job in Waukesha, WI
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 Sr 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.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** As a Sr 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 GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. 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. Requirements: Education- Master's or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device 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 Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a 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 Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), 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. 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. Domain Knowledge- Experience in medical device development is considered a strong asset. 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 Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #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 $139,200.00-$208,800.00 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
$139.2k-208.8k yearly Auto-Apply 11d ago

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Sr. Data Scientist (No Sponsorship or OPT)
GE Healthcare Technologies Inc. 4.2
Senior data scientist job in Waukesha, WI
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 Sr 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. Job Description No OPT or Sponsorship for this role This role is a hybrid position, in-office 2-3 days/week As a Sr 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 GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. 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. Requirements: Education- * Master's or PhD in Computer Science or "STEM" Majors (Science, Technology, Engineering and Math). * Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. * Minimum of 7 years of professional experience in AI product development. * Experience in medical device 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 * Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. * Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- * Proficiency in python and deep learning frameworks such such a 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 Preferred Skills: * Experience with model optimization for latency and throughput in online systems. * Experience with large-scale CNNs or LLMs, vision transformers (VLMs), 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. * 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. Domain Knowledge- * Experience in medical device development is considered a strong asset. * 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 * Demonstrated skill in defining and delivering customer value in these areas * Experience with natural language processing is advantageous. Leadership- * Demonstrated skill at working in a team setting * Demonstrated skill in critical thinking and problem solving methods * Demonstrated skill in project ownership and overseeing AI solution development interdentally. * Demonstrated skill in presentation and influencing skills #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 $139,200.00-$208,800.00 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
$70k-89k yearly est. 10d ago
Sr. Data Scientist (No Sponsorship or OPT)
GE Healthcare 4.8
Senior data scientist job in Waukesha, WI
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 Sr 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.Job Description ** No OPT or Sponsorship for this role ** ** This role is a hybrid position, in-office 2-3 days/week ** As a Sr 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 GE business units. Potential application areas include remote monitoring and diagnostics across infrastructure and industrial sectors, financial portfolio risk assessment, and operations optimization. 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. Requirements: Education- Master's or PhD in Computer Science or “STEM” Majors (Science, Technology, Engineering and Math). Undergraduate or graduate studies in biomedical engineering or similar fields is highly desired. Minimum of 7 years of professional experience in AI product development. Experience in medical device 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 Experience developing and deploying production-grade AI/machine learning models at scale, delivering measurable business impact through improved efficiency, revenue growth or automation in real-world environments. Demonstrated ability to translate business problems into ROI-driven AI solutions, including end‑to‑end ownership from problem framing and model development to operationalization, monitoring, and continuous improvement in production Specific Skills Include- Proficiency in python and deep learning frameworks such such a 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 Preferred Skills: Experience with model optimization for latency and throughput in online systems. Experience with large-scale CNNs or LLMs, vision transformers (VLMs), 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. 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. Domain Knowledge- Experience in medical device development is considered a strong asset. 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 Demonstrated skill in defining and delivering customer value in these areas Experience with natural language processing is advantageous. Leadership- Demonstrated skill at working in a team setting Demonstrated skill in critical thinking and problem solving methods Demonstrated skill in project ownership and overseeing AI solution development interdentally. Demonstrated skill in presentation and influencing skills #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 $139,200.00-$208,800.00 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
$70k-87k yearly est. Auto-Apply 11d ago
Sr Data Scientist-Promo Analytics
Milwaukee Tool 4.8
Senior data scientist job in Menomonee Falls, WI
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.
$77k-94k yearly est. Auto-Apply 23d ago
Principal Data Scientist
Maximus 4.3
Senior data scientist job in Milwaukee, WI
Description & Requirements Maximus has an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This is a remote position. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Essential Duties and Responsibilities: - Develop, collaborate, and advance the applied and responsible use of AI, ML, simulation, and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Maintain current knowledge and evaluation of the AI technology landscape and emerging developments and their applicability for use in production/operational environments Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements (required skills that align with contract LCAT, verifiable, and measurable): - 10+ years of relevant Software Development + AI / ML / DS experience - Professional Programming experience (e.g. Python, R, etc.) - Experience with AI / Machine Learning - Experience working as a contributor on a team - Experience leading AI/DS/or Analytics teams - Experience mentoring Junior Staff - Experience with Modeling and Simulation - Experience with program management Preferred Skills and Qualifications: - Masters in quantitative discipline (Math, Operations Research, Computer Science, etc.) - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors - Ability to leverage statistics to identify true signals from noise or clutter - Experience working as an individual contributor in AI or modeling and simulation - Use of state-of-the-art technology to solve operational problems in AI, Machine Learning, or Modeling and Simulation spheres - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions - Use and development of program automation, CI/CD, DevSecOps, and Agile - Experience managing technical teams delivering technical solutions for clients. - Experience working with optimization problems like scheduling - Experience with Data Analytics and Visualizations - Cloud certifications (AWS, Azure, or GCP) - 10+ yrs of related experience in AI, advanced analytics, computer science, or software development #techjobs #Veteranspage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,640.00 Maximum Salary $ 234,960.00
$70k-98k yearly est. Easy Apply 3d ago
Lead Data & BI Scientist
Zurn Elkay Water Solutions Corporation
Senior data scientist job in Milwaukee, WI
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
$68k-94k yearly est. Auto-Apply 17d ago
Data Scientist
Bayforce 4.4
Senior data scientist job in Milwaukee, WI
Role Title: Data Scientist Employment Type: Contract Duration: 3-6 month contract Preferred Location: Local to Milwaukee with 3 days onsite The Data Scientist will play a key role in supporting a predictive maintenance initiative by developing and deploying advanced analytical models focused on asset reliability and anomaly detection. This role is hands-on and highly specialized, requiring direct experience in predictive maintenance use cases rather than a broad or generalized data science background. This position is well-suited for candidates with strong experience in industrial analytics, asset performance management, or building anomaly detection who can apply data science techniques to real-world operational challenges. Key Responsibilities * Design, develop, and implement predictive maintenance and anomaly detection models * Analyze asset and operational data to identify failure patterns and reliability risks * Build and validate models to support asset reliability and proactive maintenance strategies * Collaborate with engineering, operations, and technical teams to understand asset behavior and data sources * Deploy and manage data science solutions within an Azure-based environment * Write clean, maintainable code and collaborate through GitHub * Document modeling approaches, assumptions, and results for technical and business audiences * Support continuous improvement of predictive models based on performance and feedback Requirements Required Qualifications * Strong data scientist experience with a specific background in predictive maintenance, asset reliability, or building anomaly detection models * Proven experience developing and deploying machine learning or statistical models for operational use cases * Proficiency working in an Azure environment * Strong analytical, problem-solving, and communication skills Preferred Qualifications: * Experience with Python and/or R * Experience using GitHub for version control and collaboration * Background working with industrial, facilities, or asset-based data environments
$66k-89k yearly est. 1d ago
Senior Data Scientist
Direct Supply 4.6
Senior data scientist job in Milwaukee, WI
Direct Supply, Inc. is currently seeking a Senior Data Scientist to develop, deploy and manage Generative Artificial Intelligence and Machine Learning Operations (AI/ML) solutions that address complex business challenges in Milwaukee, WI. Duties include: Partner with cross functional teams Business Analysts, Engineers, Data Scientists and university researchers to design experiments, build and implement scalable IA solutions; Understand scope, validate requirements, and translate business problems into data science problem statements; Solve business models algorithmically using econometric approaches (zero-sum games, multi-market models, optimization); Create and maintain AI/ML solutions on programming platforms (Spark/Scala, R, Python, Hadoop) and utilize big data/cloud solutions (AWS, Azure); Deploy AI machine vision, natural language processing, and voice solutions in cloud-based production environments as a service on cloud platforms; Use querying languages like SQL to perform data analysis and validate solutions using data structures and external data sets; Build data pipelines and leverage database technologies to troubleshoot, retrain, analyze and update AI/ML implementations (Kafka, Storm, MS SQL Server, Neo4J, HDFS, Redshift, S3 etc.); Build presentations, reporting and visualizations for business consumption using Rmarkdown, shiny server, bokeh, matplotlib, and ggplot; and Leverage open source/off the shelf Generative AI models to create Minimal Viable Products. The minimum requirements for the Senior Data Scientist position are a Masters' Degree (or foreign equivalent) in Computational Science, Computer Science, Computer Engineering, Mathematics, Statistics; or a related degree; and 3 years data-driven consultation experience gained through any combination of Post-Master's-level assistantship, research or professional experience which must include (and can be gained concurrently): 3 years using programming tools: R, MATLAB, or Python; 3 years using database technologies: SQL Server, Postgres, MongoDB or Neo4j; 2 years building or researching AI/ML solutions using ML Engineering frameworks: PyTorch, TensorFlow, Flask, or Huggingface, and tools: AWS Sagemaker, Colab, Pandas, Numpy, OpenCV, Scikit-learn, Docker or MLFlow in an AWS or Azure cloud environment; 2 years working with data visualization tools Tableau or Shiny; and 2 years using statistical learning approaches: dimension reduction, sampling, cross validation, support vector machines, or generalized linear models. Pre-employment drug test required. Candidate must have references for work experience that confirm experience. Candidates will also be subject to a criminal background check, and may be rejected if criminal convictions are substantially related to the position applied for, in accordance with applicable law. For more information, contact or reply by résumé to Becky Ryan, HR Specialist, Direct Supply, Inc., 7301 W. Champions Way, Milwaukee, WI 53223 (Phone) ************ (E-mail) ************************** #LI-DNI Job to be performed in the location listed. Generous benefit package available. Click here to learn more. Direct Supply, Inc. and its U.S. subsidiaries are equal opportunity and affirmative action employers committed to diverse workforces. © 2013 to 2026 Direct Supply, Inc. All rights reserved.
$73k-95k yearly est. Auto-Apply 10d ago
Data Scientist
Northwestern Mutual 4.5
Senior data scientist job in Milwaukee, WI
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
$78k-100k yearly est. 60d+ ago
Security Lead-Data Protection
Bluestone 4.1
Senior data scientist job in Milwaukee, WI
Currently working with a Fortune 500 global manufacturing client that is looking for a Security Lead- Data Protection focused individual. This client is looking to add a permanent member to their security team that can grow within the company. Responsibilities: • Develop and lead the Security Lead-Global Data Protection program across all clients business units • Build and manage an effective data classification program • Develop and drive Security Lead-Data Protection policies, standards and processes • Develop and drive a data loss prevention tools strategy partnering with companies Information Technology groups and the clients business units • Align Security -Lead Data Protection programs with other information security and cross-functional programs • Direct and improve the Security Lead-Data Protection and DLP programs and associated governance activities including metrics, issue tracking and remediation, and programs supporting client policies. • Establish and maintain cross-business relationships with key Leads and stakeholders across clients business, information security, and IT functions • Coordinate with the Global IT Council to ensure compliance with clients standards and share best practices • Conduct research and make recommendations on products, services, and standards in support of all global infrastructure security efforts. • Develop and maintain appropriate response playbooks, facilitate routine exercises, and ensure a sound communication process for all cyber events Job Requirements: Formal Education & Certification • Bachelor's degree in Information Security, IT Engineering, or Computer Science with 5+ years of IT experience • Industry-recognized security certification such as GIAC, CISSP, CISM, or CISA are preferred . Qualifications • Minimum 5 years' information security experience including experience mapping and securing business processes / data flows • Demonstrated experience building and leading a cyber-security program • Advanced knowledge of data protection/DLP and Windows client/server security concepts, best practices, and procedures • Solid “hands on” technical experience is essential • Experience in Information Security Incident Response • Experience in IaaS/SaaS environments • Broad understanding of all aspects of IT and enterprise systems interoperability • Ability to communicate technical topics (verbal and written) to multiple organizational levels • Global enterprise experience is preferred Personal Attributes: Demonstrated Leadship managing direct and matrix-reporting global teams • Demonstrated experience leading global programs across technology and business functions • Strong interpersonal, written, and oral communication skills • Able to conduct research into issues and products as required • Ability to prioritize and execute tasks in a fast-paced environment and make sound decisions in emergency situation • Highly self-motivated and directed • Keen attention to detail • Proven analytical and problem-solving abilities Additional Information Work with blue Stone recruiting to find your next Cyber Security role. You can find us at ******************************* We look forward to speaking with you. All your information will be kept confidential according to EEO guidelines.
$101k-132k yearly est. 1d ago
Business Intelligence Data Modeler
CapB Infotek
Senior data scientist job in Milwaukee, WI
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.
$72k-96k yearly est. 60d+ ago
Data Engineer
Charter Manufacturing 4.1
Senior data scientist job in Mequon, WI
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).
$80k-110k yearly est. Auto-Apply 60d+ ago
Data Engineer
Voyatek
Senior data scientist job in Milwaukee, WI
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.
$76k-102k yearly est. 21d ago
Senior Data Engineer
Continuus Technologies LLC
Senior data scientist job in Germantown, WI
The Senior Data Engineer designs, builds, and maintains scalable data pipelines and data platforms that support analytics, reporting, and data-driven products. This role plays a key part in technical decision-making, reliability, and mentoring while partnering closely with analytics, product, and engineering teams. Key Responsibilities Design, build, and optimize scalable ETL/ELT data pipelines Develop and maintain data models in data warehouses and lakes Ensure data reliability, quality, and performance across systems Collaborate with analysts and stakeholders to deliver analytics-ready data Lead technical design reviews and contribute to architectural decisions Monitor and troubleshoot pipeline failures and performance issues Implement best practices for testing, version control, and documentation Mentor junior data engineers and review code Contribute to data platform roadmap and continuous improvement Qualifications Bachelor's degree in Computer Science, Engineering, or related field (or equivalent experience) 5+ years of experience in data engineering or related roles Advanced SQL and strong proficiency in Python (or similar language) Experience with data warehousing and data modeling techniques Proven experience building production-grade data pipelines Strong understanding of cloud-based data architectures Preferred Experience Cloud platforms (AWS, Azure, or GCP) Orchestration and transformation tools (Airflow, dbt, Spark, Kafka, etc.) Experience with streaming or near-real-time data systems Familiarity with data governance, observability, and security best practices
$76k-102k yearly est. 2d ago
Associate Data Engineer
Baker Tilly Virchow Krause, LLP 4.6
Senior data scientist job in Milwaukee, WI
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
$68k-90k yearly est. Auto-Apply 13d ago
Data Scientist
Bayforce 4.4
Senior data scientist job in Milwaukee, WI
Role Title: Data Scientist Employment Type: Contract Duration: 3-6 months Preferred Location: Local to Milwaukee with 3 days onsite Role Description: Looking for a data scientist to help with a predictive maintenance project. We don't need a general data science background but someone with a specific background in areas like predictive maintenance, asset reliability, building anomaly detection models. Requirements: * Strong data scientist experience with a specific background in areas like predictive maintenance, asset reliability, building anomaly detection models. * Proficient in Azure environment * Experience with Pyton, R, Github highly preferred
$66k-89k yearly est. 9d ago
Staff Data Scientist-Promo Analytics
Milwaukee Tool 4.8
Senior data scientist job in Menomonee Falls, WI
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.
$68k-86k yearly est. Auto-Apply 23d ago
Security Lead-Data Protection
Bluestone 4.1
Senior data scientist job in Milwaukee, WI
blue Stone Recruiting is a national search firm with a focus of placing top Cyber Security talent from the Analyst level to CISO with prestigious organizations nationwide. Job Description Currently working with a Fortune 500 global manufacturing client that is looking for a Security Lead- Data Protection focused individual. This client is looking to add a permanent member to their security team that can grow within the company. Responsibilities: • Develop and lead the Security Lead-Global Data Protection program across all clients business units • Build and manage an effective data classification program • Develop and drive Security Lead-Data Protection policies, standards and processes • Develop and drive a data loss prevention tools strategy partnering with companies Information Technology groups and the clients business units • Align Security -Lead Data Protection programs with other information security and cross-functional programs • Direct and improve the Security Lead-Data Protection and DLP programs and associated governance activities including metrics, issue tracking and remediation, and programs supporting client policies. • Establish and maintain cross-business relationships with key Leads and stakeholders across clients business, information security, and IT functions • Coordinate with the Global IT Council to ensure compliance with clients standards and share best practices • Conduct research and make recommendations on products, services, and standards in support of all global infrastructure security efforts. • Develop and maintain appropriate response playbooks, facilitate routine exercises, and ensure a sound communication process for all cyber events Job Requirements: Formal Education & Certification • Bachelor's degree in Information Security, IT Engineering, or Computer Science with 5+ years of IT experience • Industry-recognized security certification such as GIAC, CISSP, CISM, or CISA are preferred . Qualifications • Minimum 5 years' information security experience including experience mapping and securing business processes / data flows • Demonstrated experience building and leading a cyber-security program • Advanced knowledge of data protection/DLP and Windows client/server security concepts, best practices, and procedures • Solid “hands on” technical experience is essential • Experience in Information Security Incident Response • Experience in IaaS/SaaS environments • Broad understanding of all aspects of IT and enterprise systems interoperability • Ability to communicate technical topics (verbal and written) to multiple organizational levels • Global enterprise experience is preferred Personal Attributes: Demonstrated Leadship managing direct and matrix-reporting global teams • Demonstrated experience leading global programs across technology and business functions • Strong interpersonal, written, and oral communication skills • Able to conduct research into issues and products as required • Ability to prioritize and execute tasks in a fast-paced environment and make sound decisions in emergency situation • Highly self-motivated and directed • Keen attention to detail • Proven analytical and problem-solving abilities Additional Information Work with blue Stone recruiting to find your next Cyber Security role. You can find us at ******************************* We look forward to speaking with you. All your information will be kept confidential according to EEO guidelines.
$76k-105k yearly est. 60d+ ago
Principal Data Engineer
Continuus Technologies LLC
Senior data scientist job in Germantown, WI
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
$76k-102k yearly est. 2d ago
Data Scientist
Bayforce 4.4
Senior data scientist job in Mequon, WI
NO 3rd Party vendor candidates or sponsorship Role Title: Data Scientist Client: Manufacturing Company Employment Type: Contract Duration: 3-6 months Preferred Location: Local to Milwaukee with 3 days onsite Role Description: Looking for a data scientist to help with a predictive maintenance project. We don't need a general data science background but someone with a specific background in areas like predictive maintenance, asset reliability, building anomaly detection models. Requirements: * Strong data scientist experience with a specific background in areas like predictive maintenance, asset reliability, building anomaly detection models. * Proficient in Azure environment * Experience with Pyton, R, Github highly preferred
$66k-89k yearly est. 1d ago

Learn more about senior data scientist jobs

How much does a senior data scientist earn in Waukesha, WI?

The average senior data scientist in Waukesha, WI earns between $64,000 and $115,000 annually. This compares to the national average senior data scientist range of $90,000 to $170,000.

Average senior data scientist salary in Waukesha, WI

$86,000

$64,00010%

$86,000Median

$115,00090%

What are the biggest employers of Senior Data Scientists in Waukesha, WI?

The biggest employers of Senior Data Scientists in Waukesha, WI are:

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Senior data scientist jobs in Waukesha, WI - 45 jobs

Sr. Data Scientist (No Sponsorship or OPT)

Sr. Data Scientist (No Sponsorship or OPT)

Sr. Data Scientist (No Sponsorship or OPT)

Sr Data Scientist-Promo Analytics

Principal Data Scientist

Lead Data & BI Scientist

Data Scientist