Data scientist jobs in Oshkosh, WI

Datavant is a data platform company and the world's leader in health data exchange. Our vision is that every healthcare decision is powered by the right data, at the right time, in the right format. Our platform is powered by the largest, most diverse health data network in the U.S., enabling data to be secure, accessible and usable to inform better health decisions. Datavant is trusted by the world's leading life sciences companies, government agencies, and those who deliver and pay for care. By joining Datavant today, you're stepping onto a high-performing, values-driven team. Together, we're rising to the challenge of tackling some of healthcare's most complex problems with technology-forward solutions. Datavanters bring a diversity of professional, educational and life experiences to realize our bold vision for healthcare. Datavant is looking for an enthusiastic and meticulous Data Scientist to join our growing team, which builds machine learning models for use across Datavant in multiple verticals and for multiple customer types. As part of the Data Science team, you will play a crucial role in developing new product features and automating existing internal processes to drive innovation across Datavant. You will work with tens of millions of patients' worth of healthcare data to develop models, contributing to the entirety of the model development lifecycle from ideation and research to deployment and monitoring. You will collaborate with an experienced team of Data Scientists and Machine Learning Engineers along with application Engineers and Product Managers across the company to achieve Datavant's AI-enabled future. **You Will:** + Play a key role in the success of our products by developing models for NLP (and other) tasks. + Perform error analysis, data cleaning, and other related tasks to improve models. + Collaborate with your team by making recommendations for the development roadmap of a capability. + Work with other data scientists and engineers to optimize machine learning models and insert them into end-to-end pipelines. + Understand product use-cases and define key performance metrics for models according to business requirements. + Set up systems for long-term improvement of models and data quality (e.g. active learning, continuous learning systems, etc.). **What You Will Bring to the Table:** + Advanced degree in computer science, data science, statistics, or a related field, or equivalent work experience. + 4+ years of experience with data science and machine learning in an industry setting. + 4+ years experience with Python. + Experience designing and building NLP models for tasks such as classification, named-entity recognition, and dependency parsing. + Proficiency with standard data analysis toolkits such as SQL, Numpy, Pandas, etc. + Proficiency with deep learning frameworks like PyTorch (preferred) or TensorFlow. + Demonstrated ability to drive results in a team environment and contribute to team decision-making in the face of ambiguity. + Strong time management skills and demonstrable experience of prioritising work to meet tight deadlines. + Initiative and ability to independently explore and research novel topics and concepts as they arise. \#LI-BC1 We are committed to building a diverse team of Datavanters who are all responsible for stewarding a high-performance culture in which all Datavanters belong and thrive. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. At Datavant our total rewards strategy powers a high-growth, high-performance, health technology company that rewards our employees for transforming health care through creating industry-defining data logistics products and services. The range posted is for a given job title, which can include multiple levels. Individual rates for the same job title may differ based on their level, responsibilities, skills, and experience for a specific job. The estimated total cash compensation range for this role is: $136,000-$170,000 USD To ensure the safety of patients and staff, many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot, Tdap, COVID-19, etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working, exemptions may be available on the basis of disability, medical contraindications to the vaccine or any of its components, pregnancy or pregnancy-related medical conditions, and/or religion. This job is not eligible for employment sponsorship. Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, disability, veteran status, or other legally protected status. To learn more about our commitment, please review our EEO Commitment Statement here (************************************************** . Know Your Rights (*********************************************************************** , explore the resources available through the EEOC for more information regarding your legal rights and protections. In addition, Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay. At the end of this application, you will find a set of voluntary demographic questions. If you choose to respond, your answers will be anonymous and will help us identify areas for improvement in our recruitment process. (We can only see aggregate responses, not individual ones. In fact, we aren't even able to see whether you've responded.) Responding is entirely optional and will not affect your application or hiring process in any way. Datavant is committed to working with and providing reasonable accommodations to individuals with physical and mental disabilities. If you need an accommodation while seeking employment, please request it here, (************************************************************** Id=**********48790029&layout Id=**********48795462) by selecting the 'Interview Accommodation Request' category. You will need your requisition ID when submitting your request, you can find instructions for locating it here (******************************************************************************************************* . 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The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards **Qualifications** + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans **Job** Information Technology **Primary Location** US-WI-Appleton **Schedule:** Full-time **Travel:** Yes, 5 % of the Time **Req ID:** 253790 \#LI-MF #ACO N/A

Meta Platforms, Inc. (Meta), formerly known as Facebook Inc., builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps and services like Messenger, Instagram, and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. To apply, click "Apply to Job" online on this web page. **Required Skills:** Data Scientist Responsibilities: 1. Apply expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how Meta users interact with our consumer and business products. 2. Mine massive amounts of data and perform large-scale data analysis to extract useful business insights. 3. Develop data pipelines with automated, machine-learning systems that convert noisy core datasets into powerful signals of user behavior. 4. Build models of user behaviors for analysis or to power production systems. 5. Partner with Product and Engineering teams to solve problems and identify trends and opportunities. 6. Design and implement dashboards and reports that track key business metrics and provide actionable insights. 7. Inform, influence, support, and execute our product decisions and product launches by effectively communicating results to cross functional groups. 8. Work across areas of product operations, exploratory analysis, product leadership, and data infrastructure to help shape the future of what we build at Meta. 9. Telecommuting from anywhere in the U.S. allowed. **Minimum Qualifications:** Minimum Qualifications: 10. Bachelor's degree (or foreign equivalent) in Information Technology, Computer Science or related field.Requires completion of a university-level course, research project or internship involving the following 11. Relational database (SQL) 12. Developing in scripting language (Python, R) 13. Large scale data processing infrastructures using distributed systems (Hadoop, Hive) 14. Data Visualization (Tableau) **Public Compensation:** $165,787/year to $196,900/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.

We are Generac, a leading energy technology company committed to powering a smarter world. Over the 60 plus years of Generac's history, we've been dedicated to energy innovation. From creating the home standby generator market category, to our current evolution into an energy technology solutions company, we continue to push new boundaries. The Data Scientist will analyze and interpret complex data sets to provide insights and recommendations that will help optimize the business groups sales strategies and improve overall performance. This includes developing predictive models, identifying key performance indicators, and utilizing statistical and machine learning techniques to uncover patterns and trends in the data. The Data Scientist will work closely with the sales team to understand their needs and provide data-driven solutions that will drive revenue growth, increase customer retention, and improve operational efficiency. Additionally, the Data Scientist may be responsible for designing and implementing data infrastructure and systems that will support the team's ongoing analysis and reporting needs. Major Responsibilities Collaborate with cross-functional teams to identify business problems and develop solutions that leverage data analytics Work with Microsoft Azure to develop and deploy scalable machine learning solutions Analyze large and complex data sets using SQL to identify trends, patterns, and insights that inform decision-making Develop predictive models using statistical and machine learning techniques to forecast demand, optimize inventory, and improve production efficiency Develop and maintain data visualizations and dashboards using Power BI that communicate insights to key stakeholders Use data to identify opportunities for process improvements and cost reductions Stay up-to-date on industry trends and advancements in data analytics to continuously improve our approach to data-driven decision-making Physical Demands: While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 - 50 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel. “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

The Staff Data Scientist plays a critical role in leveraging data to drive business insights, optimize operations, and support strategic decision-making. You will be responsible for designing and implementing advanced analytical models, developing data pipelines, and applying statistical and machine learning techniques to solve complex business challenges. This position requires a balance of technical expertise, business acumen, and communication skills to translate data findings into actionable recommendations. + Develop and apply data solutions for cleansing data to remove errors and review consistency. + Perform analysis of data to discover information, business value, patterns and trends in support to guide development of asset business solutions. + Gather data, find patterns and relationships and create prediction models to evaluate client assets. + Conduct research and apply existing data science methods to business line problems. + Monitor client assets and perform predictive and root cause analysis to identify adverse trends; choose best fit methods, define algorithms, and validate and deploy models to achieve desired results. + Produce reports and visualizations to communicate technical results and interpretation of trends; effectively communicate findings and recommendations to all areas of the business. + Collaborate with cross-functional stakeholders to assess needs, provide assistance and resolve problems. + Translate business problems into data science solutions. + Performs other duties as assigned + Complies with all policies and standards Qualifications + Bachelor Degree in Analytics, Computer Science, Information Systems, Statistics, Math, or related field from an accredited program and 4 years related experience required or experience may be substituted for degree requirement required + Experience in data mining and predictive analytics. + Strong problem-solving skills, analytical thinking, attention to detail and hypothesis-driven approach. + Excellent verbal/written communication, and the ability to present and explain technical concepts to business audiences. + Proficiency with data visualization tools (Power BI, Tableau, or Python libraries). + Experience with Azure Machine Learning, Databricks, or similar ML platforms. + Expert proficiency in Python with pandas, scikit-learn, and statistical libraries. + Advanced SQL skills and experience with large datasets. + Experience with predictive modeling, time series analysis, and statistical inference. + Knowledge of A/B testing, experimental design, and causal inference. + Familiarity with computer vision for image/video analysis. + Understanding of NLP techniques for document processing. + Experience with optimization algorithms and operations research techniques preferred. + Knowledge of machine learning algorithms, feature engineering, and model evaluation. This job posting will remain open a minimum of 72 hours and on an ongoing basis until filled. EEO/Disabled/Veterans Job Information Technology Primary Location US-WI-Appleton Schedule: Full-time Travel: Yes, 5 % of the Time Req ID: 253790 \#LI-MF #ACO N/A

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

What you will do In this exciting role you will lead the effort to build and deploy predictive and prescriptive analytics in our next generation decision intelligence platform. The work will require helping to build /maintain a digital twin of our production supply chain, perform optimization and forecasting, and connect our analytics and ML solutions to enable our people to make the best data driven decisions possible! This will require working with predictive, prescriptive analytics and decision-intelligence across the US / Canada region at Clarios. You'll apply modern statistics, machine learning and AI to real manufacturing and supply chain problems, working side-by-side with our business stakeholders and our global analytics team to deploy transformative solutions- not just models. How you will do it Build production-ready ML/statistical models (regression/classification, clustering, time series, linear / non-linear optimizations) to detect patterns, perform scenario analytics and generate actionable insights / outcomes. Wrangle and analyze data with Python and SQL; perform feature engineering, data quality checks, and exploratory analysis to validate hypotheses and model readiness. Develop digital solutions /visuals in Power BI and our decision intelligence platform to communicate results and monitor performance with business users. Partner with stakeholders to clarify use cases, translate needs into technical tasks/user stories, and iterate solutions in sprints. Manage model deployment (e.g., packaging models, basic MLOps) with guidance from Global Analytics Document and communicate model methodology, assumptions, and results to non-technical audiences; support troubleshooting and continuous improvement of delivered analytics. Deliver value realization as part of our business analytics team to drive positive business outcomes for our metals team. Deliver incremental value quickly (first dashboards, baseline models) and iterate with stakeholder feedback. Balance rigor with practicality-choose the simplest model that solves the problem and can be supported in production. Keep data quality front-and-center; instrument checks to protect decisions from drift and bad inputs. Travel: Up to ~10% for plant or stakeholder visits What we look for Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field-or equivalent practical experience. 1-3 years (or strong internship/co-op) applying ML/statistics on business data. Python proficiency (pandas, scikit-learn, SciPy/statsmodels) and SQL across common platforms (e.g., SQL Server, Snowflake). Core math/stats fundamentals: probability, hypothesis testing/DoE basics, linear algebra, and the principles behind common ML methods. Data visualization experience with Power BI / Decision Intelligence Platforms for analysis and stakeholder storytelling. Ability to work in cross-functional teams and explain technical work clearly to non-technical partners. Candidates must be self-driven, curious, and creative Preferred Cloud & big data exposure: Azure (or AWS), Databricks/Spark; Snowpark is a plus. Understanding of ETL/ELT tools such as ADF, SSIS, Talend, Informatica, or Matillion. Experience in an Decision Intelligence platform like Palantir, Aera, etc building and deploying models. MLOps concepts (model validation, monitoring, packaging with Docker/Kubernetes). Deep learning basics (PyTorch/Keras) for the right use cases. Experience contributing to agile backlogs, user stories, and sprint delivery. 3+ years of experience in data analytics Master's Degree in Statistics, Economics, Data Science or computer science. What you get: Medical, dental and vision care coverage and a 401(k) savings plan with company matching - all starting on date of hire Tuition reimbursement, perks, and discounts Parental and caregiver leave programs All the usual benefits such as paid time off, flexible spending, short-and long-term disability, basic life insurance, business travel insurance, Employee Assistance Program, and domestic partner benefits Global market strength and worldwide market share leadership HQ location earns LEED certification for sustainability plus a full-service cafeteria and workout facility Clarios has been recognized as one of 2025's Most Ethical Companies by Ethisphere. This prestigious recognition marks the third consecutive year Clarios has received this distinction. Who we are: Clarios is the force behind the world's most recognizable car battery brands, powering vehicles from leading automakers like Ford, General Motors, Toyota, Honda, and Nissan. With 18,000 employees worldwide, we develop, manufacture, and distribute energy storage solutions while recovering, recycling, and reusing up to 99% of battery materials-setting the standard for sustainability in our industry. At Clarios, we're not just making batteries; we're shaping the future of sustainable transportation. Join our mission to innovate, push boundaries, and make a real impact. Discover your potential at Clarios-where your power meets endless possibilities. Veterans/Military Spouses: We value the leadership, adaptability, and technical expertise developed through military service. At Clarios, those capabilities thrive in an environment built on grit, ingenuity, and passion-where you can grow your career while helping to power progress worldwide. All qualified applicants will be considered without regard to protected characteristics. We recognize that people come with a wealth of experience and talent beyond just the technical requirements of a job. If your experience is close to what you see listed here, please apply. Diversity of experience and skills combined with passion is key to challenging the status quo. Therefore, we encourage people from all backgrounds to apply to our positions. Please let us know if you require accommodations during the interview process by emailing Special.Accommodations@Clarios.com. We are an Equal Opportunity Employer and value diversity in our teams in terms of work experience, area of expertise, gender, ethnicity, and all other characteristics protected by laws in the countries where we operate. For more information on our commitment to sustainability, diversity, and equal opportunity, please read our latest report. We want you to know your rights because EEO is the law. A Note to Job Applicants: please be aware of scams being perpetrated through the Internet and social media platforms. Clarios will never require a job applicant to pay money as part of the application or hiring process. To all recruitment agencies: Clarios does not accept unsolicited agency resumes/CVs. Please do not forward resumes/CVs to our careers email addresses, Clarios employees or any other company location. Clarios is not responsible for any fees related to unsolicited resumes/CVs.

Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT Services organization with Sales and delivery offices in Asia. Innovizant LLC, is a Full-service IT provider, focused on delivering Innovative and value driven business analytical solutions leveraging data science, data engineering and decision science to provide winning actionable insights assisting our financial services clients banking, Insurance and credit union business in achieve their business goals. Innovizant made up of exceptional data scientists and domain experts with a great experience in Our financial services industry solutions include Credit Risk insights, Customer Churn analysis, Customer segmentation, Fraud detection, Asset and Liability analysis, channel optimization analytics, Financial Advisor Network Analytics and product bundling analytics. Some of our sur accelerators and solution frameworks assist our clients including FIN-CDO (which provided pre-delivered data strategies for the office of Chief Data Officer), BASEL-PRO (for achieving compliance with industry requirements of Basel-BCBS239,) and SmartCECL (Risk mitigation strategies by predicting default and loss given a default) With data becoming the new 'oxygen' of businesses, many data science consulting firms have evolved in recent times, and they are also contributing the best of their solutions to the modern-day clients. It means today; you can easily find a solution for data sciences. However, the biggest challenge during managing this data comes across in the terms of 'Value Realization'. The true measure of success is to be able to put the data science insights into actionable events. Many organizations have ended up spending a significant chunk of their analytics budget in some implementing data sciences solution - with minimal to no returns. Role: Data Scientist Location: Madison, WI Full Time (Direct Hire) Job description · 5+ Years of total experience and 2-4 years of in-depth and superlative experience in Data Science. · Experience in Statistical modeling. · Candidate will be helping the client to lead this process or improve upon the program. · Extremely proficient in Data Analysis, data wrangling, model development, software development, A/B Testing, Back Testing. · Extremely efficient in Python and R. · Extremely efficient in identifying right analytics model methods and using them. Gradient Boosting, Decision Tree, Regression - are absolutely must. · Exposure to Insurance (especially consumer Insurance/Retail Insurance) is a minor edge. · MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash | Resource Manager | Innovizant LLC Phone : ************ ************************************

Your career at Deutsche Börse Group Your Area of Work Join Clearstream Fund Services as a Data Scientist to design and prototype data products that empower data monetization and business users through curated datasets, semantic models, and advanced analytics. You'll work across the data stack-from pipelines to visualizations-and contribute to the evolution of AI-driven solutions. Your Responsibilities * Prototype data products including curated datasets and semantic models to support data democratization and self-service BI * Design semantic layers to simplify data access and usability * Develop and optimize data pipelines using data engineering tool (e.g. Databricks) * Use SQL, Python, and PySpark for data processing and transformation * Create Power BI dashboards to support prototyping and reporting * Apply ML/AI techniques to support early-stage modeling and future product innovation * Collaborate with data product managers, functional analyst, engineers, and business stakeholders * Ensure data quality, scalability, and performance in all deliverables Your Profile * Master's in Data Science, Computer Science, Engineering, or related field * 3+ years of experience in data pipeline development and prototyping in financial services or fund administration * Proficiency in SQL, Python, and PySpark * Hands-on experience with Databricks * Experience building Power BI dashboards and semantic models * Strong analytical and communication skills * Fluent in English

At Oshkosh, we build, serve and protect people and communities around the world by designing and manufacturing some of the toughest specialty trucks and access equipment. We employ over 18,000 team members all united by a common purpose. Our engineering and product innovation help keep soldiers and firefighters safe, is critical in building and keeping communities clean and helps people do their jobs every day. SUMMARY: As a Data Scientist, your primary responsibilities will be to analyze and interpret datasets by using statistical techniques, machine learning, and/or programming skills in order to extract insights and build models which solve business problems. YOUR IMPACT: Familiarity with data science tools, such as Azure Databricks, Power BI, Microsoft Office (including Excel pivot tables), Spark, Python, R and C. Undertake the processing of multiple datasets, including structured and unstructured, to analyze large amounts of information to discover trends and patterns. Prepare and concisely deliver analysis results in visual and written forms that communicate data insights to both technical and non-technical audiences. Collaborate with cross-functional teams (e.g. data analysts, data engineers, architects, business stakeholders) to understand data needs for complex business requirements. Build highly complex predictive models and machine-learning algorithms. Execute Integration into existing systems or creation of new products. Direct some data science assignments, projects, visualization tasks, data quality improvements, and troubleshooting of data incidents, including the resolution of root causes. Lead efforts to resolve and document solutions to track and manage incidents, changes, problems, tasks, and demands. Coach and mentor other team members on new technologies and best practices across data science and business intelligence. Possesses advanced understanding of business' processes in at least one area of business and has an understanding of business processes in multiple areas of the business. Actively supports the advancement of the strategic roadmap for data science. MINIMUM QUALIFICATIONS: Bachelors degree with five (5) or more years of experience in the field or in a related area. STANDOUT QUALIFICATIONS: Masters or doctorate degree Expertise in Power Platforms Familiarity with LLM (open source or closed) Experience in Front end web app development (Flaskapp, Gradio etc) Familiarity with RAG architecture Pay Range: $115,600.00 - $196,400.00 The above pay range reflects the minimum and maximum target pay for the position across all U.S. locations. Within this range, individual pay is determined by various factors, including the scope and responsibilities of the role, the candidate's experience, education and skills, as well as the equity of pay among team members in similar positions. Beyond offering a competitive total rewards package, we prioritize a people-first culture and offer various opportunities to support team member growth and success. Oshkosh is committed to working with and offering reasonable accommodation to job applicants with disabilities. If you need assistance or an accommodation due to disability for any part of the employment process, please contact us at ******************************************. Oshkosh Corporation is a merit-based Equal Opportunity Employer. Job opportunities are open for application to all qualified individuals and selection decisions are made without regard to race, color, religion, sex, national origin, age, disability, veteran status, or other protected characteristic. To the extent that information is provided or collected regarding categories as provided by law it will in no way affect the decision regarding an employment application. Oshkosh Corporation will not discharge or in any manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with Oshkosh Corporation's legal duty to furnish information. Certain positions with Oshkosh Corporation require access to controlled goods and technologies subject to the International Traffic in Arms Regulations or the Export Administration Regulations. Applicants for these positions may need to be "U.S. Persons," as defined in these regulations. Generally, a "U.S. Person" is a U.S. citizen, lawful permanent resident, or an individual who has been admitted as a refugee or granted asylum.

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

The Weather Company provides the best weather insight in the world, and is leading the charge in the growing area of weather decision support for business. We are offering you a unique opportunity to apply and/or develop your mathematical modeling skills on our unique set of weather data. Working with weather data is really unique and amazing; weather is in perpetual evolution, generates petabytes of new data every month, and deeply impacts people and businesses on various timescales. We serve a wide variety of businesses including renewable energies, energy traders, utility companies, insurance, retailers, and consumer product groups. As a consequence you will apply and/or learn a wide variety of statistical techniques including time series analysis, high dimensional clustering, machine learning, data mining and Bayesian modeling. Job Description Are you interested in applying machine learning or data mining on problems that truly improve people's life? We're looking for a mathematician/data scientist eager to tackle unique challenges in the realm of predicting weather's impact on business. You will work on a skilled team of passionate data scientists and meteorologists. Examples of projects you may encounter would be anything from predicting the electricity output of a solar park in Arizona, to predicting how much ice cream is going to be sold next week in Chicago. Partner collaboratively with the business and project teams to accomplish tasks/milestones/goals. Research, recommend, and implement statistical post process correction techniques using proprietary forecasts. Demonstrate solutions by developing documentation, flowcharts, layouts, diagrams, charts, etc. Improve operations by conducting systems analysis; recommending changes in policy and procedures. Provide estimates of work effort and impact of projects and tasks, and provide team leadership, as required. Continuously build your knowledge by studying new scientific methodologies and techniques. Play an active role in the product requirements process, giving feedback to product management when challenges arise. Qualifications MS in Applied Statistics, Mathematics, Econometrics, or other discipline related to Time-Series Analysis, Machine learning and Forecasting, or other related discipline. 3-5 years of relevant professional experience, with demonstrated achievements. Can demonstrate mastery of general scientific computing softwares such as R, MATLAB, Octave, etc. Experience using/implementing non-parametric regression such as Neural Net, SVM, Random Forest, Projection Pursuit, MARS, Radial Basis Functions, AdaBoost, GLM Experience in Predictive Modeling including Non-Parametric Regression, Bayesian Inference, Hidden Markov Models, Generalized ARMA, or Kalman Filtering is a plus. Experience in non-linear optimisation including Simulated Annealing, Genetic Algorithm, Agent Based Modeling, Particle Swarm, Bee Colony is a plus but not necessary. Knowledge of ensemble learning techniques and probabilistic forecasts is a plus. Programming capabilities including C++, Java, Python is a plus but not necessary. Additional Information

The Senior Data Scientist will play a crucial role in leading efforts to design, develop, and enhance analytical tools that address complex business challenges. This position will drive high-value modeling initiatives and experimentation, ensuring analytical rigor and innovation at every stage. A critical focus of this position is the ability to operationalize solutions, embedding advanced analytics into core processes and delivering scalable, production-ready capabilities that create measurable business impact. The individual in this role will: • Lead and influence technical direction within projects, shaping methodologies and best practices. • Mentor and develop junior team members, fostering growth while advancing your own expertise. • Innovate and expand our suite of analytical solutions to strengthen organizational capabilities. • Advance research in priority areas, ensuring robust analysis precedes modeling and experimentation. This position offers the opportunity to make a significant impact executing complex projects, elevating team performance, deliver actionable insights that influence business decisions, and embed advanced analytics into core processes. This position can be primarily remote within a driving distance of Appleton, WI. On-site time in Appleton, WI will be required for training and on a monthly basis.JOB RESPONSIBILITIES Development: Apply data science fundamentals: data collection, cleansing, modeling, and visualization. Develop solutions in Python and SQL to solve complex problems. Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions. Apply modern software engineering principles for data science (CI/CD, Git, object-oriented programming, containerization). Perform advanced statistical modeling techniques, including classification and regression (ML/AI) Optimization model methodologies Forecasting model development and management Architect scalable, reliable model services with monitoring and retraining strategies. Establish robust evaluation frameworks (bias and robustness checks, ablations, model cards). Innovation Lead innovation and data research efforts for new concepts and technologies. Coordinate and facilitate technical brainstorming and ideation sessions. Build proof-of-concepts and prototypes to validate emerging approaches. Advance research initiatives in areas such as LLM/RAG evaluation & safety, AI agent frameworks, generative AI applications (text, vision, multimodal), advanced optimization, and causal ML. Develop reusable accelerators and standards to shorten time-to-value for future projects. Mentor junior team members in innovative solution development. Stay ahead of industry trends and proactively identify opportunities to integrate cutting-edge techniques into business processes. Champion responsible AI practices in all innovation efforts. Execution Lead problem framing and EDA to ensure the right method for the problem. Own full lifecycle: model → experiment → pilot → monitoring → decision/adoption. Drive prioritization and trade-off decisions to balance accuracy, scalability, and time-to-value. Deliver executive‑ready decision briefs and technical documentation. Collaborate with platform and product teams to ensure seamless integration and operational reliability. Collaboration: Embrace mentorship of junior team members and code reviews; guide method selection and documentation. Coordinate with Platform for business‑critical productionization and SLO alignment. Build strong relationships and establish credibility with stakeholders at all levels, including senior leadership, through effective interpersonal and communication skills. QUALIFICATIONS Bachelor's or Master's degree in Data Science, Data Analytics, Economics, Statistics, Computer Science or a related field involving problem solving and critical thinking, or equivalent work experience. 5+ years working in data science-specific roles, with demonstrated experience working in roles that require proficiency with data modeling, statistical modeling, model deployment, data management with evidence of strategic impact. Proven project experience working in ML and experimentation; strong software design instincts and observability practices. Expertise in Python and SQL, with the ability to develop production-quality code using modern software engineering practices (e.g., object-oriented design, version control with Git, CI/CD pipelines Proven ability to translate complex results into clear decisions and trade‑offs. Demonstrated high-level business acumen with a supply chain, transportation, and/or energy background being preferred. Strong communication skills, with the ability to articulate complex technical concepts to both technical and non-technical stakeholders, including executives. DIVISION: Corporate U.S. Venture requires that a team member have and maintain authorization to work in the country in which the role is based. In general, U.S. Venture does not sponsor candidates for nonimmigrant visas or permanent residency unless based on business need. U.S. Venture will not accept unsolicited resumes from recruiters or employment agencies. In the absence of an executed recruitment Master Service Agreement, there will be no obligation to any referral compensation or recruiter fee. In the event a recruiter or agency submits a resume or candidate without an agreement, U.S. Venture shall reserve the right to pursue and hire those candidate(s) without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted to hiring managers, shall be deemed the property of U.S. Venture. U.S. Venture, Inc. is an equal opportunity employer that is committed to inclusion and diversity. We ensure equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender, gender identity or expression, marital status, age, national origin, disability, veteran status, genetic information, or other protected characteristic. If you need assistance or an accommodation due to a disability, you may call Human Resources at **************.

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 USD 205 - 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.

**_What Data Science contributes to Cardinal Health_** The Data & Analytics Function oversees the analytics life-cycle in order to identify, analyze and present relevant insights that drive business decisions and anticipate opportunities to achieve a competitive advantage. This function manages analytic data platforms, the access, design and implementation of reporting/business intelligence solutions, and the application of advanced quantitative modeling. Data Science applies base, scientific methodologies from various disciplines, techniques and tools that extracts knowledge and insight from data to solve complex business problems on large data sets, integrating multiple systems. At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced Senior Data Scientist to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **_Responsibilities_** + Lead the Development of Innovative AI solutions: Be responsible for designing, implementing, and scaling sophisticated AI solutions that address key business challenges within the healthcare industry by leveraging your expertise in areas such as Machine Learning, Generative AI, and RAG Technologies. + Develop advanced ML models for forecasting, classification, risk prediction, and other critical applications. + Explore and leverage the latest Generative AI (GenAI) technologies, including Large Language Models (LLMs), for applications like summarization, generation, classification and extraction. + Build robust Retrieval Augmented Generation (RAG) systems to integrate LLMs with vast repositories of healthcare and business data, ensuring accurate and relevant outputs. + Shape Our AI Strategy: Work closely with key stakeholders across the organization to understand their needs and translate them into actionable AI-driven or AI-powered solutions. + Act as a champion for AI within Cardinal Health, influencing the direction of our technology roadmap and ensuring alignment with our overall business objectives. + Guide and mentor a team of Data Scientists and ML Engineers by providing technical guidance, mentorship, and support to a team of skilled and geographically distributed data scientists, while fostering a collaborative and innovative environment that encourages continuous learning and growth. + Embrace a AI-Driven Culture: foster a culture of data-driven decision-making, promoting the use of AI insights to drive business outcomes and improve customer experience and patient care. **_Qualifications_** + 8-12 years of experience with a minimum of 4 years of experience in data science, with a strong track record of success in developing and deploying complex AI/ML solutions, preferred + Bachelor's degree in related field, or equivalent work experience, preferred + GenAI Proficiency: Deep understanding of Generative AI concepts, including LLMs, RAG technologies, embedding models, prompting techniques, and vector databases, along with evaluating retrievals from RAGs and GenAI models without ground truth + Experience working with building production ready Generative AI Applications involving RAGs, LLM, vector databases and embeddings model. + Extensive knowledge of healthcare data, including clinical data, patient demographics, and claims data. Understanding of HIPAA and other relevant regulations, preferred. + Experience working with cloud platforms like Google Cloud Platform (GCP) for data processing, model training, evaluation, monitoring, deployment and support preferred. + Proven ability to lead data science projects, mentor colleagues, and effectively communicate complex technical concepts to both technical and non-technical audiences preferred. + Proficiency in Python, statistical programming languages, machine learning libraries (Scikit-learn, TensorFlow, PyTorch), cloud platforms, and data engineering tools preferred. + Experience in Cloud Functions, VertexAI, MLFlow, Storage Buckets, IAM Principles and Service Accounts preferred. + Experience in building end-to-end ML pipelines, from data ingestion and feature engineering to model training, deployment, and scaling preferred. + Experience in building and implementing CI/CD pipelines for ML models and other solutions, ensuring seamless integration and deployment in production environments preferred. + Familiarity with RESTful API design and implementation, including building robust APIs to integrate your ML models and GenAI solutions with existing systems preferred. + Working understanding of software engineering patterns, solutions architecture, information architecture, and security architecture with an emphasis on ML/GenAI implementations preferred. + Experience working in Agile development environments, including Scrum or Kanban, and a strong understanding of Agile principles and practices preferred. + Familiarity with DevSecOps principles and practices, incorporating coding standards and security considerations into all stages of the development lifecycle preferred. **_What is expected of you and others at this level_** + Applies advanced knowledge and understanding of concepts, principles, and technical capabilities to manage a wide variety of projects + Participates in the development of policies and procedures to achieve specific goals + Recommends new practices, processes, metrics, or models + Works on or may lead complex projects of large scope + Projects may have significant and long-term impact + Provides solutions which may set precedent + Independently determines method for completion of new projects + Receives guidance on overall project objectives + Acts as a mentor to less experienced colleagues **Anticipated salary range:** $121,600 - $173,700 **Bonus eligible:** Yes **Benefits:** Cardinal Health offers a wide variety of benefits and programs to support health and well-being. + Medical, dental and vision coverage + Paid time off plan + Health savings account (HSA) + 401k savings plan + Access to wages before pay day with my FlexPay + Flexible spending accounts (FSAs) + Short- and long-term disability coverage + Work-Life resources + Paid parental leave + Healthy lifestyle programs **Application window anticipated to close:** 11/05/2025 *if interested in opportunity, please submit application as soon as possible. The salary range listed is an estimate. Pay at Cardinal Health is determined by multiple factors including, but not limited to, a candidate's geographical location, relevant education, experience and skills and an evaluation of internal pay equity. _Candidates who are back-to-work, people with disabilities, without a college degree, and Veterans are encouraged to apply._ _Cardinal Health supports an inclusive workplace that values diversity of thought, experience and background. We celebrate the power of our differences to create better solutions for our customers by ensuring employees can be their authentic selves each day. Cardinal Health is an Equal_ _Opportunity/Affirmative_ _Action employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ancestry, age, physical or mental disability, sex, sexual orientation, gender identity/expression, pregnancy, veteran status, marital status, creed, status with regard to public assistance, genetic status or any other status protected by federal, state or local law._ _To read and review this privacy notice click_ here (***************************************************************************************************************************

Amplifi is the go-to data consultancy for enterprise organizations that want their success to be driven by data. We empower our clients to innovate, grow and succeed by establishing and delivering strategies across all elements of the data value chain. From the governance and management of data through to analytics and automation, our integrated approach to modern data ecosystems delivers measurable results through a combination of expert consultancy and best-in-breed technology. Our company and team members are proud to empower our clients' businesses by providing exceptional solutions and value, as we truly believe their success is our success. We thrive on delivering excellent solutions and overcoming technical and business challenges. As such, we're looking for like-minded individuals to learn, grow, and mentor others as a part of the Amplifi family. Position Summary The Data Engineer will be responsible for designing, building, and maintaining scalable, secure data pipelines that drive analytics and support operational data products. The ideal candidate brings a strong foundation in SQL, Python, and modern data warehousing with a deep understanding of Snowflake, Databricks, or Microsoft Fabric, and a solid understanding of cloud-based architectures. What You Will Get To Do Design, develop, and optimize robust ETL/ELT pipelines to ingest, transform, and expose data across multiple systems. Build and maintain data models and warehouse layers, enabling high-performance analytics and reporting. Collaborate with analytics, product, and engineering teams to understand data needs and deliver well-structured data solutions. Write clean, efficient, and testable code in SQL and Python to support automation, data quality, and transformation logic. Support deployment and orchestration workflows, using Azure Data Factory, dbt, or similar tools. Work across multi-cloud environments (Azure preferred; AWS and GCP optional) to integrate data sources and manage cloud-native components. Contribute to CI/CD practices and data pipeline observability (monitoring, logging, alerting). Ensure data governance, security, and compliance in all engineering activities. Support ad hoc data science and machine learning workflows within Dataiku. What You Bring to the Team 4+ years of experience in a data engineering or related software engineering role. Proficiency in SQL and Python for data manipulation, transformation, and scripting. Strong experience working with Snowflake and MSSQL Server. Practical knowledge of working with cloud data platforms, especially Microsoft Azure. Experience with modern data modeling and warehouse optimization techniques. Experience with Databricks, Azure Data Factory, or DBT preferred. Exposure to Microsoft Fabric components like OneLake, Pipelines, or Direct Lake. Familiarity with cloud services across AWS, GCP, or hybrid cloud environments. Understanding of or curiosity about Dataiku for data science and advanced analytics collaboration. Ability to work independently and with a team in a hybrid/remote environment. Location Wisconsin is preferred. Travel Ability to travel up to 10% of the time. Benefits & Compensation Amplifi offers excellent compensation and benefits including, but not limited to, health, dental, 401(k) program, employee assistance program, short and long-term disability, life insurance, accidental death and dismemberment (AD&D), PTO program, flex work schedules and paid holidays. Equal Opportunity Employer Amplifi is proud to be an equal opportunity employer. We do not discriminate against applicants based on race, religion, disability, medical condition, national origin, gender, sexual orientation, marital status, gender identity, pregnancy, childbirth, age, veteran status or other legally protected characteristics.

Schneider is seeking a Data Science Intern in Green Bay, WI to provide support to Schneider's Engineering department. The Data Science Intern will leverage Data Science tools to enhance key business processes. Responsibilities: * Collaborate with the engineering and data science teams to research, develop and apply new concepts. * Assist in creating prototype applications to implement new concepts. * Communicate the value of projects to non-technical stakeholders. * Internship-specific opportunities: * Networking events with Schneider associates. * Professional skills trainings led by Schneider leaders. * Business resource groups meetings and events. * Volunteer activities. * After-work social gatherings. Skills and qualifications: * Currently enrolled at a college or university. * Working toward a Master's degree in Data Science, Statistics, Mathematics, or Computer Science. * Able to work full-time over the summer. * Experience with data analysis and visualization. * Experience with Python, Git, and SQL. Schneider's inclusive culture Our history has taught us that treating everyone with dignity and respect is vital to our ongoing success. We embrace and seek out diversity that is inclusive of thought, race, ethnicity, national origin, sex, gender, gender expression, age, religion, sexual orientation, ability, medical condition, veteran or military status, experience and background. This diversity and openness ensures all associates have equal access to opportunities and resources to contribute fully to the organization's success, and it fuels innovation, improves strategic thinking and cultivates leadership. Any applicant may request a reasonable accommodation to complete a job application, pre-employment testing, or job interview or to otherwise participate in the hiring process consistent with the Americans with Disabilities Act (ADA) by contacting their Recruiter, Human Resources Business Partner, and/or Human Resources Leave Administration.

The Data Warehouse Engineer I is part of a team dedicated to supporting Network Health's Enterprise Data Warehouse. This individual will perform development, analysis, testing, debugging, documentation, implementation, and maintenance of interfaces to support the Enterprise Data Warehouse and related applications. They will consult with other technical resources and key departmental users on solutions and best practices. They will monitor performance and effectiveness of the data warehouse and recommend changes as appropriate. Location: Candidates must reside in the state of Wisconsin for consideration. This position is eligible to work at your home office (reliable internet is required), at our office in Brookfield or Menasha, or a combination of both in our hybrid workplace model. Hours: 1.0 FTE, 40 hours per week, 8am-5pm Monday through Friday, may be required to work later hours when system changes are being implemented or problems arise Check out our 2024 Community Report to learn a little more about the difference our employees make in the communities we live and work in. As an employee, you will have the opportunity to work hard and have fun while getting paid to volunteer in your local neighborhood. You too, can be part of the team and making a difference. Apply to this position to learn more about our team. Job Responsibilities: Perform end to end delivery of data interfaces in various stages of the Enterprise Data Warehouse in accordance with professional standards and industry best practice Perform all phases of the development lifecycle including solution design, creation of acceptance criteria, implementation, technical documentation, development and execution of test cases, performance monitoring, troubleshooting, data analysis, and profiling Consult with Developers, Engineers, DBAs, key departmental stakeholders, data governance and leadership on technical solutions and best practice Monitor and audit the Enterprise Data Warehouse for effectiveness, throughput, and responsiveness. Recommend changes as appropriate. Troubleshoot customer complaints related to system performance issues Maintain effective communication with customers from all departments for system development, implementation, and problem resolution Required to take call to assist in resolution of technical problems Other duties and responsibilities as assigned Job Requirements: Requires Associate Degree in Computer Science, Business, or related technical field; equivalent years of experience may be substituted Minimum of 1 year experience in program interfacing required Experience with T-SQL development, SSIS development, and database troubleshooting skills required Network Health is an Equal Opportunity Employer

The Sr Data Engineer will oversee the Department's data integration work, including developing a data model, maintaining a data Warehouse and analytics environment, and writing scripts for data integration and analysis. Troubleshoot and resolve data-related issues, collaborating with the team and our Vendor Consultant to identify root causes. Recommend and deploy data models and solutions for existing data systems. This individual is responsible for playing a key role in the design and development of data pipelines to modernize our financial back end into our Azure based solution. The Data Engineer will collaborate with SMEs, Data Analysts, and Business Analysts to achieve this goal. This role will serve as a mentor for Junior Data Engineers by sharing knowledge and experience. RESPONSIBILITIES: Serve as a mentor to less senior Data Engineers on the team Troubleshoot data discrepancies within the databases table of the IAP data model Provide data to Data Analyst Assist other developers with further developing the IAP data model Develop, maintain and optimize current data pipelines which includes, but isn't limited to data from our policy administration systems, claims system, agent facing portals, and third party data assets Knowledge and understanding of best practices for development including query optimization, version control, code reviews, and technical documentation Develops complex data objects for business analytics using data modeling techniques  Ensures data quality and implements tools and frameworks for automating the identification of data quality issues  Analyze and propose improvements to existing Data Structures and Data Movement Processes Perform assigned project tasks in a highly interactive team environment while maintaining a productive and positive atmosphere Stay current with P&C insurance knowledge and industry technology and utilize that knowledge with existing productivity tools, standards, and procedures to contribute to the cost-effective operation of the department and company Other duties as assigned QUALIFICATIONS:  ESSENTIAL:  Associate's or Bachelor's degree in IT related field or equivalent combination of education/experience Associate or bachelor's degree in an IT related field, with business analysis experience in related field 5+ years of data pipeline/ETL/ELT development experience in a corporate environment Knowledge of the SDLC, business processes and technical aspects of data pipelines and business intelligence outcomes Experience with Azure DevOps, Azure Synapse, and Azure Data Lake/SQL Experience working with XML and JSON data formats Expert in SQL for data mapping, extracting, and validating source data to enable accurate reporting and data feeds Experience with large system design and implementation Collaborative team member with a strong ability to contribute positively to team dynamics and culture (Team and culture fit) Results oriented, self-motivated, resourceful team player Superior oral and written communication skills Demonstrates thought Leadership Able to prioritize and work through multiple tasks PREFERRED:  P&C Insurance industry experience Policy, Claims, Billing and Finance experience Agile methodology Experience with Duck creek Software Solutions Experience with Azure DevOps (ADO) At SECURA, we are transforming the insurance experience by putting authenticity at the forefront of everything we do. Our mission is clear: we're making insurance genuine. We recognize that our associates are our greatest assets, and we invest in their well-being and professional growth. We offer opportunities for continuous learning and career advancement, competitive benefits, and a culture that champions work-life balance. Joining SECURA means becoming part of a dynamic team that values each individual's contribution and fosters a collaborative atmosphere. Here, you'll not only find a fulfilling career but also a place where you can make a positive impact every day. SECURA Insurance strives to provide equal opportunity for all employees and is committed to fostering an inclusive work environment. We welcome applicants from all backgrounds and walks of life.