Data scientist jobs 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

What you will do In this exciting role you will lead the effort to build and deploy predictive and prescriptive analytics in our next generation decision intelligence platform. The work will require helping to build /maintain a digital twin of our production supply chain, perform optimization and forecasting, and connect our analytics and ML solutions to enable our people to make the best data driven decisions possible! This will require working with predictive, prescriptive analytics and decision-intelligence across the US / Canada region at Clarios. You'll apply modern statistics, machine learning and AI to real manufacturing and supply chain problems, working side-by-side with our business stakeholders and our global analytics team to deploy transformative solutions- not just models. How you will do it Build production-ready ML/statistical models (regression/classification, clustering, time series, linear / non-linear optimizations) to detect patterns, perform scenario analytics and generate actionable insights / outcomes. Wrangle and analyze data with Python and SQL; perform feature engineering, data quality checks, and exploratory analysis to validate hypotheses and model readiness. Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users. Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints. Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics. Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team. Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback. Balance rigor with practicality-choose the simplest model that solves the problem and can be supported in production. Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs. Travel: Up to ~10% for plant or stakeholder visits What we look for Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field-or equivalent practical experience. 1-3 years (or strong internship/co-op) applying ML/statistics on business data. Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake). Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods. Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling. Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative Preferred Cloud & big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus. Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion. Experience in an Decision Intelligence platform like Palantir, Aera, etc building and deploying models. MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes). Deep learning basics (PyTorch/Keras) for the right use cases. Experience contributing to agile backlogs, user stories, and sprint delivery. 3+ years of experience in data analytics Master's Degree in Statistics, Economics, Data Science or computer science. 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. 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, gender, ethnicity, and all other 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.

Deloitte is at the leading edge of GenAI innovation, transforming Strategic Analytics and shaping the future of Finance. We invite applications from highly skilled and experienced Lead Data Scientists ready to drive the development of our next-generation GenAI solutions. The Team Strategic Analytics is a dynamic part of our Finance FP&A organization, dedicated to empowering executive leaders across the firm, as well as our partners in financial and operational functions. Our team harnesses the power of cloud computing, data science, AI, and strategic expertise-combined with deep institutional knowledge-to deliver insights that inform our most critical business decisions and fuel the firm's ongoing growth. GenAI is at the forefront of our innovation agenda and a key strategic priority for our future. We are rapidly developing groundbreaking products and solutions poised to transform both our organization and our clients. As part of our team, the selected candidate will play a pivotal role in driving the success of these high-impact initiatives. Recruiting for this role ends on December 14, 2025 Work You'll Do Client Engagement & Solution Scoping + Partner with stakeholders to analyze business requirements, pain points, and objectives relevant to GenAI use cases. + Facilitate workshops to identify, prioritize, and scope impactful GenAI applications (e.g., text generation, code synthesis, conversational agents). + Clearly articulate GenAI's value proposition, including efficiency gains, risk mitigation, and innovation. + Solution Architecture & Design + Architect holistic GenAI solutions, selecting and customizing appropriate models (GPT, Llama, Claude, Zora AI, etc.). + Design scalable integration strategies for embedding GenAI into existing client systems (ERP, CRM, KM platforms). + Define and govern reliable, ethical, and compliant data sourcing and management. Development & Customization + Lead model fine-tuning, prompt engineering, and customization for client-specific needs. + Oversee the development of GenAI-powered applications and user-friendly interfaces, ensuring robustness and exceptional user experience. + Drive thorough validation, testing, and iteration to ensure quality and accuracy. Implementation, Deployment & Change Management + Manage solution rollout, including cloud setup, configuration, and production deployment. + Guide clients through adoption: deliver training, create documentation, and provide enablement resources for users. Risk, Ethics & Compliance + Lead efforts in responsible AI, ensuring safeguards against bias, privacy breaches, and unethical outcomes. + Monitor performance, implement KPIs, and manage model retraining and auditing processes. Stakeholder Communication + Prepare executive-level reports, dashboards, and demos to summarize progress and impact. + Coordinate across internal teams, tech partners, and clients for effective project delivery. Continuous Improvement & Thought Leadership + Stay current on GenAI trends, best practices, and emerging technologies; share insights across teams. + Mentor junior colleagues, promote knowledge transfer, and contribute to reusable methodologies. Qualifications Required: + Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Mathematics, or related field. + 5+ years of hands-on experience delivering machine learning or AI solutions, preferably including generative AI. + Independent thinker who can create the vision and execute on transforming data into high end client products. + Demonstrated accomplishments in the following areas: + Deep understanding of GenAI models and approaches (LLMs, transformers, prompt engineering). + Proficiency in Python (PyTorch, TensorFlow, HuggingFace), Databricks, ML pipelines, and cloud-based deployment (Azure, AWS, GCP). + Experience integrating AI into enterprise applications, building APIs, and designing scalable workflows. + Knowledge of solution architecture, risk assessment, and mapping technology to business goals. + Familiarity with agile methodologies and iterative delivery. + Commitment to responsible AI, including data ethics, privacy, and regulatory compliance. + Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve + Limited immigration sponsorship may be available. Preferred: + Relevant Certifications: May include Google Cloud Professional ML Engineer, Microsoft Azure AI Engineer, AWS Certified Machine Learning, or specialized GenAI/LLM credentials. + Experience with data visualization tools such as Tableau The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $102,500 - $188,900. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance. Information for applicants with a need for accommodation ************************************************************************************************************ EA_FA_ExpHire All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

Acuity is seeking a Data Scientist - Strategic Analytics to work with business leaders to inform company strategies and decision-making through an objective viewpoint by leveraging the team's expertise in deep business knowledge, leveraging data as an asset, and utilizing statistical and advanced analytical techniques as appropriate. The role of Data Scientist - Strategic Analytics uses advanced statistical and analytical techniques to inform highly complex and sophisticated business questions. The data scientist will apply and integrate advanced statistical, mathematical, data mining, and business analysis skills and techniques to discover new behavioral insights, predict outcomes, prescribe decision options, and advise on turning new insights into actionable opportunities. Internal deadline to apply: December 22nd, 2025 ESSENTIAL FUNCTIONS: * Develop solutions, to support analytic insights and visualization using mathematical models, algorithms, machine learning techniques, and robust analytics. * Partner with business clients and technical leaders to spearhead the development of standards for appropriate statistical methodology, study design, power and sample size estimation, and data analysis plans for behavioral analytics. * Provide data driven decision support for key initiatives of company strategy and measurement related to client, claims, sales, and campaign analyses to understand both growth and economic impact. * Determine requisite data elements and partners with data engineers to design integrated datasets for analytical research purposes. * Work closely with machine learning engineers and business partners to develop and build behavioral data science and analytics products. * Effectively present analytical results and derived recommendations for action to senior leaders, peers, and product team members. * Regular and predictable attendance. * Performs other duties as assigned. EDUCATION: Bachelor's degree in data science, statistics, math, computer science, economics, or related field. Advanced graduate level degree in a quantitative discipline (statistics, applied mathematics, computer science, econometrics, or a related field) is preferred. EXPERIENCE: A minimum of three years relevant experience to include research and data analysis, experiment design and measurement, or application of statistical research techniques. OTHER QUALIFICATIONS: * Expertise in one or more development or statistical analysis tool such as R, Python, SAS, SQL, SPSS, or other tools. Tableau experience is a plus. * Proven excellence in research, quantitative analysis, problem solving, and analytical working techniques. * Statistical knowledge and intuition * Strong aptitude and desire for learning new analytical and visualization tools, modeling, and quantitative techniques. Initiative to independently design and develop own deliverables while still being a team player. * Demonstrates ability to deliver results and recommendations in written, verbal and presentation form at an appropriate level for a business audience. * Acuity does not sponsor applicants for U.S. work authorization.* This job is classified as exempt. We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved. If you have a disability and require reasonable accommodations to apply or during the interview process, please contact our Talent Acquisition team at ******************. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.

Hybrid role in Milwaukee part of Northwestern Mutual's Actuarial Leadership Development Program. In this rotational role, individuals will use their actuarial training and background to carry out in-depth analysis of a wide variety of business issues. Typical activities may include development of complex actuarial models, pricing one of many insurance product lines, forecasting future financial circumstances, analyzing product experience, assessing regulatory issues, consulting on product or other risk management issues, or providing significant assistance on corporate projects. The result of the work will frequently influence management towards action that can have a sizeable impact on products, markets, underwriting, pricing, risk management, and profitability. Primary Duties and Responsibilities Investigate and analyze technical issues of an actuarial nature. Assess risk by determining the impact and the financial benefit of varied options. Provide actuarial consultation to internal clients. Qualifications Undergraduate degree in Actuarial Science, Mathematics, Finance, or related field. Attainment of Associate of the Society of Actuaries (ASA) designation at a minimum. Most candidates will have made progress toward attaining the Fellowship (FSA) designation. A minimum of three years of actuarial experience. Skilled in using software tools that are used for mathematical and/or financial modeling and analysis. Strong communication skills. A strong understanding of the actuarial aspects of NM product lines. A good grasp of risk management issues tied to our products and finances. Experience in multiple actuarial disciplines (e.g. pricing, modeling, valuation), typically attained through rotational assignments is preferred. Compensation Range: Pay Range - Start: $92,750.00 Pay Range - End: $172,250.00 Geographic Specific Pay Structure: 205 - Structure 110: 102,060.00 USD - 189,540.00 USD205 - Structure 115: 106,680.00 USD - 198,120.00 USD We believe in fairness and transparency. It's why we share the salary range for most of our roles. However, final salaries are based on a number of factors, including the skills and experience of the candidate; the current market; location of the candidate; and other factors uncovered in the hiring process. The standard pay structure is listed but if you're living in California, New York City or other eligible location, geographic specific pay structures, compensation and benefits could be applicable, click here to learn more. Grow your career with a best-in-class company that puts our clients' interests at the center of all we do. Get started now! Northwestern Mutual is an equal opportunity employer who welcomes and encourages diversity in the workforce. We are committed to creating and maintaining an environment in which each employee can contribute creative ideas, seek challenges, assume leadership and continue to focus on meeting and exceeding business and personal objectives.

Job Title: Customer Data Intern Class: Internship Timeline: Summer 2026 Reports to: Sr. Customer Data Specialist This position will be part of our 2026 Summer Internship program. Our program will take place June 1st through August 7th and is available to rising Junior and Senior college or university students. We will reach out for interviews starting in January 2026! What We Offer: Mental Health Resources Professional Development through our internal learning & development program - Antler Academy Employee Resource Groups Milwaukee Bucks and NBA League Discounts Qualified Parking Summary : The Customer Data Intern will work with the Digital, Marketing, and Analytics departments to help meet and exceed the organization's digital marketing goals. The primary role of the Customer Data Intern will be supporting both the email marketing team and business strategy and analytics teams. Responsibilities: Create and deploy emails. Format and analyze data. Assist across Email and Digital Marketing campaigns and initiatives. Produce marketing reports based on direction from the Digital team. Assign digital driven sales leads. Qualifications: Pursuing a degree in Marketing, Sports Marketing, Market Research, or a related field. Proficiency in Microsoft Office, mainly Microsoft Excel. Strong analytical, collaboration, and interpersonal skills. HTML knowledge is a plus! All offers for employment with the Milwaukee Bucks are contingent upon the candidate having successfully completed a criminal background check. We will consider people with criminal histories in a manner consistent with the requirements of applicable local, state, and Federal laws. The Milwaukee Bucks is an Affirmative Action and Equal Opportunity Employer, Ethnic Minority/Women/Disabled/Veteran/Gender Identity/Sexual Orientation. We provide our employees with a robust employee benefits plan that focuses on the mental and physical wellness of our team. We strive to offer a flexible work environment that allows our team members to be productive in both their work and home lives. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

We are seeking a skilled and solution-oriented Data Engineer to contribute to the development of our growing Data Engineering function. This role will be instrumental in designing and optimizing data workflows, building domain-specific pipelines, and enhancing platform services. The ideal candidate will help evolve our Snowflake-based data platform into a scalable, domain-oriented architecture that supports business-critical analytics and machine learning initiatives. Responsibilities The candidate is expected to: Design and build reusable platform services, including pipeline frameworks, CI/CD workflows, data validation utilities, data contracts, lineage integrations Develop and maintain data pipelines for sourcing, transforming, and delivering trusted datasets into Snowflake Partner with Data Domain Owners to onboard new sources, implement data quality checks, and model data for analytics and machine learning use cases Collaborate with the Lead Data Platform Engineer and Delivery Manager to deliver monthly feature releases and support bug remediation Document and promote best practices for data pipeline development, testing, and deployment Qualifications The successful candidate will possess strong analytical skills and attention to detail. Additionally, the ideal candidate will possess: 3-6 years of experience in data engineering or analytics engineering Strong SQL and Python skills; experience with dbt or similar transformation frameworks Demonstrated experience building pipelines and services on Snowflake or other modern cloud data platforms Understanding of data quality, validation, lineage, and schema evolution Background in financial or market data (trading, pricing, benchmarks, ESG) is a plus Strong collaboration and communication skills, with a passion for enabling domain teams Privacy Notice for California Applicants Artisan Partners Limited Partnership is an equal opportunity employer. Artisan Partners does not discriminate on the basis of race, religion, color, national origin, gender, age, disability, marital status, sexual orientation or any other characteristic protected under applicable law. All employment decisions are made on the basis of qualifications, merit and business need. #LI-Hybrid/span>

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. We're focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. **Working at Abbott** At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to: + Career development with an international company where you can grow the career you dream of. + Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year + An excellent retirement savings plan with high employer contribution + Tuition reimbursement, the Freedom 2 Save (******************************************************************************************************* student debt program and FreeU (*************************************************************************************************************** education benefit - an affordable and convenient path to getting a bachelor's degree. + A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. + A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. **THE OPPORTUNITY** This **Staff** **Da** **ta Engineer** position can work out **remotely within the U.S** . Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You'll help define and implement the organization's Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning. As a staff member of the Data Engineering & Analytics team, you will be building big data collection and analytics capabilities to uncover customer, product and operational insights. Candidate should be able to work on a geographically distributed team to develop data pipelines capable of handling complex data sets quickly and securely as well as operationalize data science solutions. Additionally, they will be working in a technology-driven environment utilizing the latest tools and techniques such as Databricks, Redshift, S3, Lambda, DynamoDB, Spark and Python. The candidate should have a passion for software engineering to help shape the direction of the team. Highly sought-after qualities include versatility and a desire to continuously learn, improve, and empower other team members. Candidate will support building scalable, highly available, efficient, and secure software solutions for big data initiatives. **What You'll Work On** + Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives + Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services. + Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3 + Integrate and assemble large, complex data sets that meet a broad range of business requirements + Read, extract, transform, stage and load data to selected tools and frameworks as required and requested + Customizing and managing integration tools, databases, warehouses, and analytical systems + Process unstructured data into a form suitable for analysis and assist in analysis of the processed data + Working directly with the technology and engineering teams to integrate data processing and business objectives + Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design + Create software architecture and design documentation for the supported solutions and overall best practices and patterns + Support team with technical planning, design, and code reviews including peer code reviews + Provide Architecture and Technical Knowledge training and support for the solution groups + Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA. + Stay current with emerging trends, making recommendations as needed to help the organization innovate + Proactively planning complex projects from scope/timeline development through technical design and execution. + Demonstrate leadership through mentoring other team members. **Required Qualifications** + Bachelors Degree in Computer Science, Information Technology or other relevant field + **At least 5 to 10 years** of recent experience in Software Engineering, Data Engineering or Big Data + Ability to work effectively within a team in a fast-paced changing environment + Knowledge of or direct experience with Databricks and/or Spark. + Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. + Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources + Knowledge of data cleaning, wrangling, visualization and reporting + Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience + Familiarity of databases, BI applications, data quality and performance tunin + Excellent written, verbal and listening communication skills + Comfortable working asynchronously with a distributed team **Preferred Qualifications** + Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda. + Experience working in an agile environment + Practical Knowledge of Linux Apply Now (****************************** **Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:** ********************** (http://**********************/pages/candidate.aspx) Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ************** , on Facebook at *********************** and on Twitter @AbbottNews and @AbbottGlobal The base pay for this position is $97,300.00 - $194,700.00. In specific locations, the pay range may vary from the range posted. An Equal Opportunity Employer Abbot welcomes and encourages diversity in our workforce. We provide reasonable accommodation to qualified individuals with disabilities. To request accommodation, please call ************ or email ******************

* Hybrid Work Schedule - Coming into ManpowerGroup Headquarters in Milwaukee WI* The purpose of the Data Engineer role is to design and implement data models that maintain data integrity by staying informed of the ways the data is used within the organization and its information systems. The Data Engineer must be highly experienced in the analytics environment, so that they possess a strong foundation to be able to understand as well as create models that meet business requirements. Making an Impact * Working with business leaders, business analysts and web architects to define a strategy to implement long-term vision for the Production system application data and a strategy to implement that vision * Defining, documenting, and enforcing the use of standards, policies and procedures for use by the team, including naming conventions, estimating guidelines, review and promotion procedures, security and user/role access, etc. * Understanding of a phased project approach and the ability to identify the tasks, timelines, and interdependencies with other team's tasks to complete the project on-time and in budget * Creating and maintaining the conceptual (logical) and physical data models * Facilitating meetings and communications o with the business to define business requirements, to gain consensus/approval, and to communicate status o within the project team to ensure a common understanding, drive decisions, and promote cohesion o with other Data & Analytics functional teams to foster a collaborative work environment and drive issues to resolution * Leverage Production Database expertise to produce analytics platform data structures to be consumed in Data modelling, Dashboards, Analytics & stakeholder needs * Workflow design to create scalable data solutions in a automated / scheduled manner * Monitor Live Data transformation workflows to ensure content availability Sharing Expertise * Participating in Production system development review sessions * Influencing through functional knowledge/solution options. Leads workflow, influences team & customers to ensure they're aligned on timing and approach * Responsible for recommending ways to continually improve own workflow, the department workflow, and delivery of solutions for the customers of the functional area. Responsible for bringing issues to management and presenting options for solutions. * Acts as an escalation point to resolving problems and conflicts where necessary, ensuring alternate points of view are taken into account and problems are brought to management where necessary with pros and cons of the various options identified, as well as a recommendation where feasible. Gaining Exposure * Partnering with leaders across NA to understand their unique and shared areas of focus from a D&A perspective * Sharing D&A perspective on how to solve or approach gaps that aren't yet identified by leaders, identify alternatives and provide recommendations to address proactively Your Typical Day * Defining and documenting overall data architecture, infrastructure, and performance requirements and working with the DBA to implement it Required * Bachelor's degree * 2 years working in an analytics or IT environment or specialized Bachelor's degree in data modeling or similar focus Nice to Have * Experience with conceptual data modeling methodologies, and the development of architectures supporting web-based applications ManpowerGroup is proud to be an equal opportunity affirmative action workplace. We celebrate diversity and are committed to providing an inclusive environment for all employees. Qualified applicants will receive consideration for employment without regard to race, religion, creed, color, national origin, citizenship, marital status, pregnancy (including childbirth, lactation and related medical conditions), age, gender, gender identity or expression, sexual orientation, protected veteran status, political ideology, ancestry, the presence of any physical, sensory, or mental disabilities, or other legally protected status. A strong commitment is made by each employee and is necessary to ensure equal employment opportunity for all. ManpowerGroup is an inclusive workplace that will recruit, hire, train, and promote persons of all job titles, and ensure all other personnel actions are administered without regard to non-merit-based characteristics of individuals. Reasonable accommodation during the interview process can be provided. Contact talentacquisition@manpowergroup.com for assistance.

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).

At Wipfli, people count. At Wipfli, our people are core to everything we do-the catalyst behind our ability to create exceptional impact and extraordinary results. We believe in flexibility. We focus on relationships. We encourage each individual to follow their own path. People truly matter and they feel it. For those looking to make a difference and find a professional home, Wipfli offers a career-defining opportunity. Requisition Number: 2025-7427 Position Overview: This role will take direction from the Information Team Director and will be responsible for contributing to the continuous advancement of a modern data lakehouse built to support a rapidly growing firm's desire to democratize its data asset. Responsibilities Responsibilities: + Lead influence and consensus building efforts for recommended solutions + Support and document the continued evolution of the firm's data lakehouse using the medallion architecture + Translate requirements into effective data models to support visualizations, AI\ML models, etc. leveraging design best practices and team standards using approved tools + Develop in data technologies such as Databricks, Microsoft Azure Data Factory, Python, t-SQL + Manage the execution of project life cycle activities in accordance with the Information Team scrum processes and tools such as Microsoft Azure DevOps + Achieve/maintain proficiency in required skills identified by the Information Team to effectively deliver defined products + Collaborate with team members to evolve products and internal processes + Mentor other Engineers and other IT associates as needed. + Perform on-call support for after business hours as needed. Knowledge, Skills and Abilities Qualifications: + Demonstrated success in working on a modern data platform with Databricks experience being preferred. Accredited certification(s) and/or 5+ years hands on desired. + Naturally curious with the ability to learn and implement new concepts quickly. + A mastery of extracting and landing data from source systems via all access methods. Extra credit for Workday RaaS and/or Microsoft Dynamics/Dataverse skills. + A commitment to operational standards, quality, and accountability for testing, code reviews/management and documentation. + Engaged in the virtual team experience leveraging video conferencing (cameras on) and a focus on relationship building. Travel is rare, but we do occasionally organize in-person events. Benjamin Dzanic, from our recruiting team, will be guiding you through this process. Visit his LinkedIn (************************************* page to connect! #LI-REMOTE #LI-BD1 Additional Details Additional Details: Wipfli is an equal opportunity/affirmative action employer. All candidates will receive consideration for employment without regards to race, creed, color, religion, national origin, sex, age, marital status, sexual orientation, gender identify, veteran status, disability, or any other characteristics protected by federal, state, or local laws. Wipfli is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to complete an application, interview, or participate in our recruiting process, please send us an email at ************* Wipfli values fair, transparent, and competitive compensation, considering each candidate's unique skills and experiences. The estimated base pay range for this role is $107,000 to $144,000, with offers typically not made at the maximum, allowing for future salary increases. The actual salary at the time of offer depends on business related factors like location, skills, experience, training/education, licensure, certifications, business needs, current associate pay, and relevant employment laws. Individuals may be eligible for an annual discretionary bonus, subject to participation rules and based on a variety of factors including, but not limited to, individual and Firm performance. Wipfli cares about our associates and offers a variety of benefits to support their well-being. Highlights include 8 health plan options (both HMO & PPO plans), dental and vision coverage, opportunity to enroll in HSA with potential Firm contribution and an Employee Assistance Program. Other benefits include firm-sponsored basic life and short and long-term disability coverage, a 401(k) savings plan & profit share as well as Firm matching contribution, well-being incentive, education & certification assistance, flexible time off, family care leave, parental leave, family formation benefits, cell phone reimbursement, and travel rewards. Voluntary benefit offerings include critical illness & accident insurance, hospital indemnity insurance, legal, long-term care, pet insurance, ID theft protection, and supplemental life/AD&D. Eligibility for all benefits programs is dependent on annual hours expectation, position status/level and location. "Wipfli" is the brand name under which Wipfli LLP and Wipfli Advisory LLC and its respective subsidiary entities provide professional services. Wipfli LLP and Wipfli Advisory LLC (and its respective subsidiary entities) practice in an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable law, regulations, and professional standards. Wipfli LLP is a licensed independent CPA firm that provides attest services to its clients, and Wipfli Advisory LLC provides tax and business consulting services to its clients. Wipfli Advisory LLC and its subsidiary entities are not licensed CPA firms. Job LocationsUS Job ID 2025-7427 Category Internal IT Remote Yes

IT Software Development / Data Science Internship Scot Forge Company is looking to hire one IT Software Development / Data Science Intern for the Summer of 2026 at the corporate facility in Spring Grove, IL. An IT internship at Scot Forge will provide a variety of experiences and exposure to the IT efforts of a manufacturing environment including data science, software development, business systems analytics, and more. The interns will be supporting the IT team through their daily tasks and projects. This Program Offers: Paid Compensation Professional Career Development and Mentoring Real World Problem Solving Meaningful Project Work Collaborative Work Environment Anticipated Projects include: Software Engineer: develop clean, efficient, and documented code for existing and new software applications; design and implement back-end and front-end systems using modern languages and frameworks; write unit, integration, and functional tests to validate code quality Data Scientist: pre-process source data into usable, high-quality datasets; conduct exploratory data analysis to visualize datasets; apply statistical techniques to evaluate relationships and interpret data; develop, train, and evaluate predictive models Business Systems Analyst: translate user requirements into technical and functional requirements; generate reports, dashboards, and visualizations for business stakeholders; contribute to the design of software enhancements or changes; create detailed documentation of existing and new business processes Qualifications: Required Skills Minimum Sophomore standing in pursuit of a bachelor's degree in Computer Science, Software Engineering, Business Systems, or related field. Independent worker with strong self-management and problem-solving skills, who can demonstrate learning agility in software development, data science and other related initiatives. Preferred Skills Any IT certifications (CompTIA A+, AWS or Azure, etc.) are desirable but not required Working knowledge of one or more programming languages Understanding of software development principles and practices Experience with database systems, concepts, and operations Knowledge of the data science process Understanding of fundamental networking, operating systems, and hardware concepts Effective collaborator with strong communication skills Additional Requirements Must be authorized to work anywhere in the U.S. without sponsorship Must be able to pass a 90 day head hair drug test today. Review of applications will begin September 29th and continue until the position is filled. Scot Forge is an Equal Opportunity Employer. We value diversity and inclusion and welcome all qualified candidates to apply. We maintain a drug-free workplace and perform pre-employment substance abuse testing.

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

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

**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.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries.JOB DESCRIPTION: We're focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. Working at Abbott At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to: Career development with an international company where you can grow the career you dream of. Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year An excellent retirement savings plan with high employer contribution Tuition reimbursement, the Freedom 2 Save student debt program and FreeU education benefit - an affordable and convenient path to getting a bachelor's degree. A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. THE OPPORTUNITY This Senior Data Engineer position can work out remotely within the U.S. Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You'll help define and implement the organization's Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning. As a senior member of the Data Engineering & Analytics team, you'll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You'll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python. The ideal candidate is passionate about software engineering, thrives in fast-paced environments, and brings versatility, curiosity, and a collaborative spirit to the team. What You'll Work On Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services. Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3 Integrate and assemble large, complex data sets that meet a broad range of business requirements Read, extract, transform, stage and load data to selected tools and frameworks as required and requested Customizing and managing integration tools, databases, warehouses, and analytical systems Process unstructured data into a form suitable for analysis and assist in analysis of the processed data Working directly with the technology and engineering teams to integrate data processing and business objectives Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design Create software architecture and design documentation for the supported solutions and overall best practices and patterns Support team with technical planning, design, and code reviews including peer code reviews Provide Architecture and Technical Knowledge training and support for the solution groups Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA. Stay current with emerging trends, making recommendations as needed to help the organization innovate Qualifications Bachelors Degree in Computer Science, Information Technology or other relevant field At least 2 to 6 years of recent experience in Software Engineering, Data Engineering or Big Data Ability to work effectively within a team in a fast-paced changing environment Knowledge of or direct experience with Databricks and/or Spark. Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources Knowledge of data cleaning, wrangling, visualization and reporting Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience Familiarity of databases, BI applications, data quality and performance tuning Excellent written, verbal and listening communication skills Comfortable working asynchronously with a distributed team Preferred Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda. Experience working in an agile environment Practical Knowledge of Linux #software Apply Now Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: ********************** Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at *************** on Facebook at *********************** and on Twitter @AbbottNews and @AbbottGlobal The base pay for this position is $75,300.00 - $150,700.00 In specific locations, the pay range may vary from the range posted. JOB FAMILY:Product DevelopmentDIVISION:ADC Diabetes CareLOCATION:United States of America : RemoteADDITIONAL LOCATIONS:WORK SHIFT:StandardTRAVEL:Yes, 10 % of the TimeMEDICAL SURVEILLANCE:Not ApplicableSIGNIFICANT WORK ACTIVITIES:Continuous sitting for prolonged periods (more than 2 consecutive hours in an 8 hour day), Keyboard use (greater or equal to 50% of the workday) Abbott is an Equal Opportunity Employer of Minorities/Women/Individuals with Disabilities/Protected Veterans.EEO is the Law link - English: ************************************************************ EEO is the Law link - Espanol: ************************************************************

At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world. **Technology - Data and Decision Science - Data Engineering - Manager** We are looking for a dynamic and experienced Manager of Data Engineering to lead our team in designing and implementing complex cloud analytics solutions with a strong focus on Databricks. The ideal candidate will possess deep technical expertise in data architecture, cloud technologies, and analytics, along with exceptional leadership and client management skills. **The opportunity:** In this role, you will design and build analytics solutions that deliver significant business value. You will collaborate with other data and analytics professionals, management, and stakeholders to ensure that business requirements are translated into effective technical solutions. Key responsibilities include: + Understanding and analyzing business requirements to translate them into technical requirements. + Designing, building, and operating scalable data architecture and modeling solutions. + Staying up to date with the latest trends and emerging technologies to maintain a competitive edge. **Key Responsibilities:** As a Data Engineering Manager, you will play a crucial role in managing and delivering complex technical initiatives. Your time will be spent across various responsibilities, including: + Leading workstream delivery and ensuring quality in all processes. + Engaging with clients on a daily basis, actively participating in working sessions, and identifying opportunities for additional services. + Implementing resource plans and budgets while managing engagement economics. This role offers the opportunity to work in a dynamic environment where you will face challenges that require innovative solutions. You will learn and grow as you guide others and interpret internal and external issues to recommend quality solutions. Travel may be required regularly based on client needs. **Skills and attributes for success:** To thrive in this role, you should possess a blend of technical and interpersonal skills. The following attributes will make a significant impact: + Lead the design and development of scalable data engineering solutions using Databricks on cloud platforms (e.g., AWS, Azure, GCP). + Oversee the architecture of complex cloud analytics solutions, ensuring alignment with business objectives and best practices. + Manage and mentor a team of data engineers, fostering a culture of innovation, collaboration, and continuous improvement. + Collaborate with clients to understand their analytics needs and deliver tailored solutions that drive business value. + Ensure the quality, integrity, and security of data throughout the data lifecycle, implementing best practices in data governance. + Drive end-to-end data pipeline development, including data ingestion, transformation, and storage, leveraging Databricks and other cloud services. + Communicate effectively with stakeholders, including technical and non-technical audiences, to convey complex data concepts and project progress. + Manage client relationships and expectations, ensuring high levels of satisfaction and engagement. + Stay abreast of the latest trends and technologies in data engineering, cloud computing, and analytics. + Strong analytical and problem-solving abilities. + Excellent communication skills, with the ability to convey complex information clearly. + Proven experience in managing and delivering projects effectively. + Ability to build and manage relationships with clients and stakeholders. **To qualify for the role, you must have:** + Bachelor's degree in computer science, Engineering, or a related field required; Master's degree preferred. + Typically, no less than 4 - 6 years relevant experience in data engineering, with a focus on cloud data solutions and analytics. + Proven expertise in Databricks and experience with Spark for big data processing. + Strong background in data architecture and design, with experience in building complex cloud analytics solutions. + Experience in leading and managing teams, with a focus on mentoring and developing talent. + Strong programming skills in languages such as Python, Scala, or SQL. + Excellent problem-solving skills and the ability to work independently and as part of a team. + Strong communication and interpersonal skills, with a focus on client management. **Required Expertise for Managerial Role:** + **Strategic Leadership:** Ability to align data engineering initiatives with organizational goals and drive strategic vision. + **Project Management:** Experience in managing multiple projects and teams, ensuring timely delivery and adherence to project scope. + **Stakeholder Engagement:** Proficiency in engaging with various stakeholders, including executives, to understand their needs and present solutions effectively. + **Change Management:** Skills in guiding clients through change processes related to data transformation and technology adoption. + **Risk Management:** Ability to identify potential risks in data projects and develop mitigation strategies. + **Technical Leadership:** Experience in leading technical discussions and making architectural decisions that impact project outcomes. + **Documentation and Reporting:** Proficiency in creating comprehensive documentation and reports to communicate project progress and outcomes to clients. **Large-Scale Implementation Programs:** 1. **Enterprise Data Lake Implementation:** Led the design and deployment of a cloud-based data lake solution for a Fortune 500 retail client, integrating data from multiple sources (e.g., ERPs, POS systems, e-commerce platforms) to enable advanced analytics and reporting capabilities. 2. **Real-Time Analytics Platform:** Managed the development of a real-time analytics platform using Databricks for a financial services organization, enabling real-time fraud detection and risk assessment through streaming data ingestion and processing. 3. **Data Warehouse Modernization:** Oversaw the modernization of a legacy data warehouse to a cloud-native architecture for a healthcare provider, implementing ETL processes with Databricks and improving data accessibility for analytics and reporting. **Ideally, you'll also have:** + Experience with advanced data analytics tools and techniques. + Familiarity with machine learning concepts and applications. + Knowledge of industry trends and best practices in data engineering. + Familiarity with cloud platforms (AWS, Azure, GCP) and their data services. + Knowledge of data governance and compliance standards. + Experience with machine learning frameworks and tools. **What we look for:** We seek individuals who are not only technically proficient but also possess the qualities of top performers, including a strong sense of collaboration, adaptability, and a passion for continuous learning. If you are driven by results and have a desire to make a meaningful impact, we want to hear from you. FY26NATAID **What we offer you** At EY, we'll develop you with future-focused skills and equip you with world-class experiences. We'll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more . + We offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options. + Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40-60% of the time over the course of an engagement, project or year. + Under our flexible vacation policy, you'll decide how much vacation time you need based on your own personal circumstances. You'll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being. **Are you ready to shape your future with confidence? Apply today.** EY accepts applications for this position on an on-going basis. For those living in California, please click here for additional information. EY focuses on high-ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities. **EY | Building a better working world** EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories. EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY's Talent Shared Services Team (TSS) or email the TSS at ************************** .

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.

Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 114,000 colleagues serve people in more than 160 countries. We're focused on helping people with diabetes manage their health with life-changing products that provide accurate data to drive better-informed decisions. We're revolutionizing the way people monitor their glucose levels with our new sensing technology. **Working at Abbott** At Abbott, you can do work that matters, grow, and learn, care for yourself and family, be your true self and live a full life. You'll also have access to: + Career development with an international company where you can grow the career you dream of. + Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year + An excellent retirement savings plan with high employer contribution + Tuition reimbursement, the Freedom 2 Save (******************************************************************************************************* student debt program and FreeU (*************************************************************************************************************** education benefit - an affordable and convenient path to getting a bachelor's degree. + A company recognized as a great place to work in dozens of countries around the world and named one of the most admired companies in the world by Fortune. + A company that is recognized as one of the best big companies to work for as well as a best place to work for diversity, working mothers, female executives, and scientists. **THE OPPORTUNITY** This **Senior** **Da** **ta Engineer** position can work out **remotely within the U.S** . Are you ready to apply your technical expertise to make a real impact in the medical field and help improve the lives of people with diabetes? This role offers the opportunity to lead cloud-based big data engineering efforts, including data wrangling, analysis, and pipeline development. You'll help define and implement the organization's Big Data strategy, working closely with data engineers, analysts, and scientists to solve complex business problems using data science and machine learning. As a senior member of the Data Engineering & Analytics team, you'll build scalable data solutions that uncover insights across customer behavior, product performance, and operations. You'll work in a distributed team environment using modern technologies like Databricks, Redshift, S3, Lambda, DynamoDB, Spark, and Python. The ideal candidate is passionate about software engineering, thrives in fast-paced environments, and brings versatility, curiosity, and a collaborative spirit to the team. **What You'll Work On** + Design and implement data pipelines to be processed and visualized across a variety of projects and initiatives + Develop and maintain optimal data pipeline architecture by designing and implementing data ingestion solutions on AWS using AWS native services. + Design and optimize data models on AWS Cloud using Databricks and AWS data stores such as Redshift, RDS, S3 + Integrate and assemble large, complex data sets that meet a broad range of business requirements + Read, extract, transform, stage and load data to selected tools and frameworks as required and requested + Customizing and managing integration tools, databases, warehouses, and analytical systems + Process unstructured data into a form suitable for analysis and assist in analysis of the processed data + Working directly with the technology and engineering teams to integrate data processing and business objectives + Monitoring and optimizing data performance, uptime, and scale; Maintaining high standards of code quality and thoughtful design + Create software architecture and design documentation for the supported solutions and overall best practices and patterns + Support team with technical planning, design, and code reviews including peer code reviews + Provide Architecture and Technical Knowledge training and support for the solution groups + Develop good working relations with the other solution teams and groups, such as Engineering, Marketing, Product, Test, QA. + Stay current with emerging trends, making recommendations as needed to help the organization innovate **Qualifications** + Bachelors Degree in Computer Science, Information Technology or other relevant field + At least 2 to 6 years of recent experience in Software Engineering, Data Engineering or Big Data + Ability to work effectively within a team in a fast-paced changing environment + Knowledge of or direct experience with Databricks and/or Spark. + Software development experience, ideally in Python, PySpark, Kafka or Go, and a willingness to learn new software development languages to meet goals and objectives. + Knowledge of strategies for processing large amounts of structured and unstructured data, including integrating data from multiple sources + Knowledge of data cleaning, wrangling, visualization and reporting + Ability to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and experience + Familiarity of databases, BI applications, data quality and performance tuning + Excellent written, verbal and listening communication skills + Comfortable working asynchronously with a distributed team **Preferred** + Knowledge of or direct experience with the following AWS Services desired S3, RDS, Redshift, DynamoDB, EMR, Glue, and Lambda. + Experience working in an agile environment + Practical Knowledge of Linux \#software Apply Now (****************************** **Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives:** ********************** (http://**********************/pages/candidate.aspx) Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity. Connect with us at ************** , on Facebook at *********************** and on Twitter @AbbottNews and @AbbottGlobal The base pay for this position is $75,300.00 - $150,700.00. In specific locations, the pay range may vary from the range posted. An Equal Opportunity Employer Abbot welcomes and encourages diversity in our workforce. We provide reasonable accommodation to qualified individuals with disabilities. To request accommodation, please call ************ or email ******************