Data scientist jobs in South Milwaukee, WI

Description & Requirements We now have an exciting opportunity for a Principal Data Scientist to join the Maximus AI Accelerator supporting both the enterprise and our clients. We are looking for an accomplished hands-on individual contributor and team player to be a part of the AI Accelerator team. You will be responsible for architecting and optimizing scalable, secure AI systems and integrating AI models in production using MLOps best practices, ensuring systems are resilient, compliant, and efficient. This role requires strong systems thinking, problem-solving abilities, and the capacity to manage risk and change in complex environments. Success depends on cross-functional collaboration, strategic communication, and adaptability in fast-paced, evolving technology landscapes. This position will be focused on strategic company-wide initiatives but will also play a role in project delivery and capture solutioning (i.e., leaning in on existing or future projects and providing solutioning to capture new work.) This position requires occasional travel to the DC area for client meetings. Essential Duties and Responsibilities: - Make deep dives into the data, pulling out objective insights for business leaders. - Initiate, craft, and lead advanced analyses of operational data. - Provide a strong voice for the importance of data-driven decision making. - Provide expertise to others in data wrangling and analysis. - Convert complex data into visually appealing presentations. - Develop and deploy advanced methods to analyze operational data and derive meaningful, actionable insights for stakeholders and business development partners. - Understand the importance of automation and look to implement and initiate automated solutions where appropriate. - Initiate and take the lead on AI/ML initiatives as well as develop AI/ML code for projects. - Utilize various languages for scripting and write SQL queries. Serve as the primary point of contact for data and analytical usage across multiple projects. - Guide operational partners on product performance and solution improvement/maturity options. - Participate in intra-company data-related initiatives as well as help foster and develop relationships throughout the organization. - Learn new skills in advanced analytics/AI/ML tools, techniques, and languages. - Mentor more junior data analysts/data scientists as needed. - Apply strategic approach to lead projects from start to finish; Job-Specific Minimum Requirements: - Develop, collaborate, and advance the applied and responsible use of AI, ML and data science solutions throughout the enterprise and for our clients by finding the right fit of tools, technologies, processes, and automation to enable effective and efficient solutions for each unique situation. - Contribute and lead the creation, curation, and promotion of playbooks, best practices, lessons learned and firm intellectual capital. - Contribute to efforts across the enterprise to support the creation of solutions and real mission outcomes leveraging AI capabilities from Computer Vision, Natural Language Processing, LLMs and classical machine learning. - Contribute to the development of mathematically rigorous process improvement procedures. - Maintain current knowledge and evaluation of the AI technology landscape and emerging. developments and their applicability for use in production/operational environments. Minimum Requirements - Bachelor's degree in related field required. - 10-12 years of relevant professional experience required. Job-Specific Minimum Requirements: - 10+ years of relevant Software Development + AI / ML / DS experience. - Professional Programming experience (e.g. Python, R, etc.). - Experience in two of the following: Computer Vision, Natural Language Processing, Deep Learning, and/or Classical ML. - Experience with API programming. - Experience with Linux. - Experience with Statistics. - Experience with Classical Machine Learning. - Experience working as a contributor on a team. Preferred Skills and Qualifications: - Masters or BS in quantitative discipline (e.g. Math, Physics, Engineering, Economics, Computer Science, etc.). - Experience developing machine learning or signal processing algorithms: - Ability to leverage mathematical principles to model new and novel behaviors. - Ability to leverage statistics to identify true signals from noise or clutter. - Experience working as an individual contributor in AI. - Use of state-of-the-art technology to solve operational problems in AI and Machine Learning. - Strong knowledge of data structures, common computing infrastructures/paradigms (stand alone and cloud), and software engineering principles. - Ability to design custom solutions in the AI and Advanced Analytics sphere for customers. This includes the ability to scope customer needs, identify currently existing technologies, and develop custom software solutions to fill any gaps in available off the shelf solutions. - Ability to build reference implementations of operational AI & Advanced Analytics processing solutions. Background Investigations: - IRS MBI - Eligibility #techjobs #VeteransPage EEO Statement Maximus is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, age, national origin, disability, veteran status, genetic information and other legally protected characteristics. Pay Transparency Maximus compensation is based on various factors including but not limited to job location, a candidate's education, training, experience, expected quality and quantity of work, required travel (if any), external market and internal value analysis including seniority and merit systems, as well as internal pay alignment. Annual salary is just one component of Maximus's total compensation package. Other rewards may include short- and long-term incentives as well as program-specific awards. Additionally, Maximus provides a variety of benefits to employees, including health insurance coverage, life and disability insurance, a retirement savings plan, paid holidays and paid time off. Compensation ranges may differ based on contract value but will be commensurate with job duties and relevant work experience. An applicant's salary history will not be used in determining compensation. Maximus will comply with regulatory minimum wage rates and exempt salary thresholds in all instances. Accommodations Maximus provides reasonable accommodations to individuals requiring assistance during any phase of the employment process due to a disability, medical condition, or physical or mental impairment. If you require assistance at any stage of the employment process-including accessing job postings, completing assessments, or participating in interviews,-please contact People Operations at **************************. Minimum Salary $ 156,740.00 Maximum Salary $ 234,960.00

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.

**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.

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at *************** Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok (******************************* . Job Description Come to work each day with an inclusive and collaborative business technology team. As a Data Scientist in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. Independently perform analyses and implement technologies to deliver precise, reliable, and reproducible reports or solutions in a timely manner, under the direction of a more senior leader. ***This is a hybrid role based in Lake County, IL*** Responsibilities + Develop solutions and data products to support a variety of AI, gen AI, data science and automation requests using python and other tools. + Troubleshoot algorithms, protocols, and software programs. + Demonstrate skill in multiple data engineering and data science techniques and appropriately modify protocols, as required, to suit the changing needs of our business. + Perform routine tasks competently and independently and generate reliable and consistent results. + Analyze and critique results, noting significant variances or deviations. + Learn and understand new methods and technologies. + Create documentation and data visualizations to effectively communicate insights to both technical and non-technical audiences + Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security. Qualifications Required: + Bachelor's Degree plus 2 years experience or Master's Degree + Experience working on data science projects using python, as well as statistical and AI/ML frameworks to address business use cases. + Experience in data engineering, insight generation, advanced analytics, and data science. + Developing visualizations with tools like Power BI, Tableau or similar. + Experience preferred with GenAI application development, LLM prompt engineering and LLM-based solution architecture like RAG. Nice to have: + Experience with advanced analytics and data science platforms like Dataiku, Alteryx or Sagemaker. + Experience building solutions for finance stakeholders. + Experience building solutions using AWS services. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: + The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. + We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. + This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit ************************************************************************* US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: ************************************************************* Salary: $64,000 - $122,000

Job Description Data Scientist II - Clinical - Looking for only W2 Duration: 12 Months Contract Type: W2 Primary Skills: AWS Cloud Formation, R, Data Analysis, Python, SQL Position Title: Computational Data Scientist Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL. The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans. Digital workflows, systems, IT infrastructure, and computational sciences are critical and growing components within the organization to help deliver vital results in the early pipeline. This specific job role is designed to act as an SME (subject matter expert) for data science within the technical organization of QTAS. For this role, the successful candidate will have a substantial background in data and computer science with an emphasis on supporting, developing and implementing IT solutions for lab-based systems as well as utilizing computational methods. The candidate should possess a deep knowledge in AI/ML, with a focus on both supervised (like neural networks, decision trees) and unsupervised learning techniques (such as clustering, PCA). They must be adept at applying these methods to large datasets for predictive modeling; in this context- drug properties and discovery patterns in ADME datasets. Proficiency in model validation, optimization, and feature engineering is essential to ensure accuracy and robustness in predictions. The role requires effective collaboration with interdisciplinary teams to integrate AI insights into drug development processes. Strong communication skills are necessary to convey complex AI/ML concepts to a diverse audience. Key Responsibilities: Provide business-centric support of IT systems and platforms in support of our scientific operations and processes. Develop, implement, troubleshoot and support solutions independently for the digital infrastructure and workflows within QTAS including custom platform/coding solutions, visualization tools, integration of new software/hardware, and analysis and troubleshooting support. Lead the analysis of large ADME-related datasets, contributing to the understanding and optimization of drug absorption, distribution, metabolism, and excretion properties. Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Develop predictive models and algorithms for identifying potential drug candidates with desirable ADME properties. Collaborate with teams across biological sciences and drug discovery to integrate computational insights into practical drug development strategies. Communicate findings and strategic input to cross-functional teams, including Translational Science, Medicine, and Late Development groups. Qualifications: Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience. Passion for data analysis, solving technical problems and applying new technologies to further scientific goals. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, my SQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets. Proficiency in any of the following technologies is valued: Python (including libraries such as Matplotlib, Seaborn, Plotly, Bokeh), JavaScript, Julia, Java/Scala, or R (including Shiny). Comfortable working in cloud and high-performance computational environments (e.g., AWS and Oracle Cloud) Excellent communication skills and ability to work effectively in interdisciplinary teams. Understanding of pharma R&D process and challenges in drug discovery is preferred. Proven ability to work in a team environment; ability to work well in a collaborative fast-paced team environment. Excellent oral and written communication skills and the ability to convey IT related notions to cross-disciplinary scientists. Thorough theoretical and practical understanding of own scientific discipline Background and/or experience in the biotechnology, pharmaceutical, biology, or chemistry fields is preferred. Key Leadership Competencies: Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance. Learns fast, grasps the "essence" and can change course quickly where indicated. Raises the bar and is never satisfied with the status quo. Creates a learning environment, open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation and manages innovation to reality. Kindly please share your resumes to **********************

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

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>

* 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.

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.

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).

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

We're building the world's first viral agent. An AI purpose built for influencer marketing. Not a tool. Not a platform. An autonomous agent that goes from "I need this campaign to break" to "50 influencers live next week" with minimal human intervention. Why this matters: We have 3 years of proprietary data on what makes influencer content go viral. Warner, Sony, and Universal trust us to break their biggest artists. We're backed by the biggest names in entertainment including Sofia Vergara, Karol G, Tommy Mottola, and Tier 1 VCs like Point72 Ventures. We're not building for hypothetical use cases. We're shipping production AI that drives millions in revenue today. Why we'll win: We have what no one else has: both the data and the distribution. We have proprietary data on thousands of influencers and what makes content go viral, plus direct relationships with the influencers themselves. In the AI era, having both is the moat. Everyone else has one or the other. We have both. Why now: AGI agents will replace middle level work by 2027. We have a 12 to 18 month window before the market floods with agents. We're building the category defining social media viral agent right now. What we're looking for: Young talent ready to go all in. We're offering significant equity to people who want to build something that matters. This isn't a job. It's an opportunity to define the future of AI in influencer marketing and own a meaningful piece of it.Your Skillset Strong programming with Python and SQL. Comfortable building from scratch and improving existing code. Expertise in data modeling and warehousing, including dimensional modeling and performance tuning. Experience designing and operating ETL and ELT pipelines with tools like Airflow or Dagster, plus dbt for transformations. Hands-on with batch and streaming systems such as Spark and Kafka, and with Lakehouse or warehouse tech on AWS or GCP. Proficiency integrating third-party APIs and datasets, ensuring reliability, lineage, and governance. Familiarity with AI data needs: feature stores, embedding pipelines, vector databases, and feedback loops that close the gap between model and outcome. High standards for code quality, testing, observability, and CI. Comfortable with Docker and modern cloud infra. You're the Type Who Treats data as a product and ships improvements that users feel. Moves fast without breaking trust. You value contracts, schemas, and backward compatibility. Owns problems across the stack, from ingestion to modeling to serving. Communicates clearly with ML engineers, analysts, and business partners. Experiments, measures, and iterates. You set measurable SLAs and keep them green. Sees ambiguity as a chance to design the standard everyone else will follow. Gross salary range What We Offer• Competitive equity in a venture-backed company shaping the future of music influencer marketing.• A seat at the table as we redefine how the most iconic record labels, artists, and brands go viral (think Bad Bunny), with our tech, support, and strategic guidance.• Access to elite tools, AI copilots, and a team that builds daily at top speed.• Hybrid flexibility. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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.

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at ************** . Follow @abbvie on X , Facebook , Instagram , YouTube , LinkedIn and Tik Tok . Job Description AbbVie's Operations Business Insights (OBI) group is continuously innovating to transform AbbVie operations organization to enable the use of data and analytics to drive world-class innovation, performance, and agility in service of our patients across the globe. We are looking for a data scientist with broad analytics experience to work within a diverse operations business which includes Supply Chain, Manufacturing, Quality, Purchasing and Science & Technology. The position is for a Managing Data Scientist with a wide-ranging set of responsibilities for a multi-level and multi-skilled delivery team building predictive/prescriptive models using statistical and machine-learning methodologies to serve the cross-functional needs of the CMC acceleration from our MES and PDS&T functional organization to accelerate product delivery from R&D into full scale commercialization. The Managing Data Scientist will also ensure end-to-end delivery of assigned data science applications, studies and POCs; overseeing project teams of mid-level and junior data scientists as well as data analysts. This role will also serve as a key contributor and thought leader to the group strategy, awareness/education activities and discovery/development/ideation of data science augmenting our globalized business process approach to enable transformative change with AI. This role will operate about 50% client-facing and 50% project involvement. Consulting and collaboration skill sets are key to success in this role. This is a demanding role with highly visible impact to senior leaders across the operations context. High Level Responsibilities: Operate cross-functionally in a highly collaborative manner with OBI functionally-aligned data scientists, senior functional leaders and business partners. Manage a diverse set of talent to deliver project-based data science and transformative projects. Consult with business users in the analysis of requirements and recommend solutions which anticipate the future impact of changing business requirements. Seek, develop, and implement opportunities for technology transfer of data science methods into functional areas - spearheading the use of new methods and expanding the footprint of impactful data science with our manufacturing and CMCM processes to implement strategy and transformative change in those areas. Develop advanced data analytical models and techniques from supervised and unsupervised machine learning, statistical analysis, deep learning and predictive modeling. Build relationships with stakeholders and collaborate with other statistical and data science teams in AbbVie while mentoring and coaching related team members Collaborate with academic partners and AbbVie Innovation Center on research projects and POCs Detailed expectations include (but not limited to): Role is expected to quickly assess new opportunities (AI/ML techniques, technology, etc.) and present these within the current and future state of requirements, risk, and cost-effectiveness. Drive multiple key internal initiatives in cross-functional GenAI development. Tools and skills you will use: Expert knowledge of statistical and machine learning methods, with expertise in modeling and business analytics Consulting skills commensurate with a thought leader and consultative partner for senior level business stakeholders. Data Science tools like Dataiku, AWS SageMaker, statistical languages, and packages, e.g., R, Python, Julia, SAS, data visualization tools and techniques, e.g., Tableau, ggplot, matplotlib, R/Shiny, Qlik, data manipulation tools such as SQL, Spark, PySpark and Hive, cloud environments like Azure and AWS, deep learning tools such as Tensorflow, Keras and PyTorch. Use advanced approaches in AI development such as RAG and semantic layering of data to implement advanced used cases of AI augmented human-in-the-loop applications. Expertise in designing and developing processes and systems to consolidate and analyze data. Considerations include variety (structured, unstructured), volume (includes big data), data quality (cleaning and validation of the data) and velocity (batch, stream). Expertise in processes / procedures for missing data analysis, data quality, master data management and good preparation practices for modeling. Expertise in story-telling with data and communicating complex topics to audiences of all levels Able to drive internal learning through journal clubs, internal data science education sessions and continuously deepen the team knowledge in data science practice and research. Able to communicate effectively to an executive level audience. Qualifications Required: Undergraduate with 7 years of experience, master's degree with 6 years of experience, or PhD in a related quantitative field with 2 years of experience, in a non-academic setting - Data Science/Statistics/Predictive analytics or similar. For advanced degree holders, preference is for quantitative or engineering undergraduates such as chemistry/chemical engineering, mathematics, other industrial / engineering degrees. Experience in full life-cycle and evolution of complex data science applications including Agile Project management processes Evidence of the ability for the following consulting skills/experience: Maintaining and executing practice roadmaps in alignment with functional partners and business partners at multi-year, annual and quarterly timescales. Maintaining consulting, educational, and briefing materials commensurate with the evolution of architecture, design, project status, and best practices for the practice/functional area and to collaborate on overall team materials. Devising and operating an effective communication plan with key stakeholders. Demonstrated thought leadership through proposals, white papers, architectural inputs and planning for current and future state needs. Performance of requirements discovery, determining feasibility of various approaches, devising experimental approaches to test assumptions and devise solutions which incorporate non-functional requirements such as scalability, interpretability, and maintainability. Driving multiple key internal initiatives for cross-functional initiatives. Experience in mentoring and leading mid-career and junior resources through full-lifecycle delivery of data science applications. Self-learner able to quickly become effective in new tools, concepts, and academic findings relevant to team/stakeholder needs. Preferred: Experience in Manufacturing and Science/technology tech transfer of pharmaceutical products into full scale commercialization in a large pharmaceutical environment including GxP systems and processes. Experience in technology transfer and innovation practices through consulting experience or through corporate roles supporting these practices. Experience in MLOps/SLC in Pharmaceutical operations. Experience in a strategy or boutique consulting position with direct stakeholder interaction. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. This job is eligible to participate in our long-term incentive programs Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit https://**************/join-us/equal-employment-opportunity-employer.html US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: https://**************/join-us/reasonable-accommodations.html

Duration: 12 Months Contract Type: W2 Primary Skills: AWS Cloud Formation, R, Data Analysis, Python, SQL Computational Data Scientist Seeking a highly motivated and driven data scientist to join our Quantitative, Translational & ADME Sciences (QTAS) team in North Chicago, IL. The QTAS organization supports the discovery and early clinical pipeline through mechanistically investigating how drug molecules are absorbed, distributed, excreted, metabolized, and transported across the body to predict duration and intensity of exposure and pharmacological action of drug candidates in humans. Digital workflows, systems, IT infrastructure, and computational sciences are critical and growing components within the organization to help deliver vital results in the early pipeline. This specific job role is designed to act as an SME (subject matter expert) for data science within the technical organization of QTAS. For this role, the successful candidate will have a substantial background in data and computer science with an emphasis on supporting, developing and implementing IT solutions for lab-based systems as well as utilizing computational methods. The candidate should possess a deep knowledge in AI/ML, with a focus on both supervised (like neural networks, decision trees) and unsupervised learning techniques (such as clustering, PCA). They must be adept at applying these methods to large datasets for predictive modeling; in this context- drug properties and discovery patterns in ADME datasets. Proficiency in model validation, optimization, and feature engineering is essential to ensure accuracy and robustness in predictions. The role requires effective collaboration with interdisciplinary teams to integrate AI insights into drug development processes. Strong communication skills are necessary to convey complex AI/ML concepts to a diverse audience. Key Responsibilities: Provide business-centric support of IT systems and platforms in support of our scientific operations and processes. Develop, implement, troubleshoot and support solutions independently for the digital infrastructure and workflows within QTAS including custom platform/coding solutions, visualization tools, integration of new software/hardware, and analysis and troubleshooting support. Lead the analysis of large ADME-related datasets, contributing to the understanding and optimization of drug absorption, distribution, metabolism, and excretion properties. Apply computational tools and machine learning/deep learning techniques to analyze and interpret complex biological data relevant to drug discovery. Develop predictive models and algorithms for identifying potential drug candidates with desirable ADME properties. Collaborate with teams across biological sciences and drug discovery to integrate computational insights into practical drug development strategies. Communicate findings and strategic input to cross-functional teams, including Translational Science, Medicine, and Late Development groups. Qualifications: Bachelor's or Master's Degree in Data Science, Computer Science, Computational Chemistry, or related relevant discipline typically with 5 to 10 (BS) or 2 to 5 (MS) years related industry experience. Passion for data analysis, solving technical problems and applying new technologies to further scientific goals. Strong proficiency in programming (e.g., SQL, Python, R, MATLAB), database technologies (Oracle, my SQL, relational databases; graph databases are a plus), machine learning/deep learning (network architectures are a plus), dimensionality reduction techniques (e.g., PCA), and possible cheminformatics software suites Demonstrated experience in the analysis and visualization of large datasets. Proficiency in any of the following technologies is valued: Python (including libraries such as Matplotlib, Seaborn, Plotly, Bokeh), JavaScript, Julia, Java/Scala, or R (including Shiny). Comfortable working in cloud and high-performance computational environments (e.g., AWS and Oracle Cloud) Excellent communication skills and ability to work effectively in interdisciplinary teams. Understanding of pharma R&D process and challenges in drug discovery is preferred. Proven ability to work in a team environment; ability to work well in a collaborative fast-paced team environment. Excellent oral and written communication skills and the ability to convey IT related notions to cross-disciplinary scientists. Thorough theoretical and practical understanding of own scientific discipline Background and/or experience in the biotechnology, pharmaceutical, biology, or chemistry fields is preferred. Key Leadership Competencies: Builds strong relationships with peers and cross-functionally with partners outside of team to enable higher performance. Learns fast, grasps the "essence" and can change course quickly where indicated. Raises the bar and is never satisfied with the status quo. Creates a learning environment, open to suggestions and experimentation for improvement. Embraces the ideas of others, nurtures innovation and manages innovation to reality. Kindly please share your resumes to **********************

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.

AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas - immunology, oncology, neuroscience, and eye care - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at *************** Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok. Job Description Come to work each day with an inclusive and collaborative business technology team. As a Data Scientist in AbbVie Business Technology Solutions (BTS), you will have opportunities to contribute to the digital transformation of a leading biopharma company, helping to create solutions that impact patients and their communities for the better. Independently perform analyses and implement technologies to deliver precise, reliable, and reproducible reports or solutions in a timely manner, under the direction of a more senior leader. ***This is a hybrid role based in Lake County, IL*** Responsibilities Develop solutions and data products to support a variety of AI, gen AI, data science and automation requests using python and other tools. Troubleshoot algorithms, protocols, and software programs. Demonstrate skill in multiple data engineering and data science techniques and appropriately modify protocols, as required, to suit the changing needs of our business. Perform routine tasks competently and independently and generate reliable and consistent results. Analyze and critique results, noting significant variances or deviations. Learn and understand new methods and technologies. Create documentation and data visualizations to effectively communicate insights to both technical and non-technical audiences Understand and adhere to corporate standards regarding applicable Corporate and Divisional Policies, including code of conduct, safety, GxP compliance, and data security. Qualifications Required: Bachelor's Degree plus 2 years experience or Master's Degree Experience working on data science projects using python, as well as statistical and AI/ML frameworks to address business use cases. Experience in data engineering, insight generation, advanced analytics, and data science. Developing visualizations with tools like Power BI, Tableau or similar. Experience preferred with GenAI application development, LLM prompt engineering and LLM-based solution architecture like RAG. Nice to have: Experience with advanced analytics and data science platforms like Dataiku, Alteryx or Sagemaker. Experience building solutions for finance stakeholders. Experience building solutions using AWS services. Additional Information Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this role at the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on many factors including geographic location, and we may ultimately pay more or less than the posted range. This range may be modified in the future. We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees. This job is eligible to participate in our short-term incentive programs. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a particular employee remains in the Company's sole and absolute discretion unless and until paid and may be modified at the Company's sole and absolute discretion, consistent with applicable law. AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community. Equal Opportunity Employer/Veterans/Disabled. US & Puerto Rico only - to learn more, visit ************************************************************************* US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more: *************************************************************