Senior data scientist jobs in Appleton, WI

***************** is planning to bring a million developers and a billion users onchain. We need your help to make that happen. At Base, we live by ourhttps://x.com/jessepollak/status/***********32673997, where our team rises to the challenge, embraces hard weeks, and makes small to significant personal tradeoffs when necessary to drive impact and innovation. Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line. *What you'll be doing:* * Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making. * Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations. * Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs. * Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders. *What we look for in you:* * A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience * Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces. * Ability to influence external stakeholders by synthesizing data learnings into compelling stories. * Practical expertise in applying complex modeling frameworks to practical business problems. * Professional experience using SQL and Python. * Experience working with digital products in an iterative development cycle. * Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution. Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process. ID: G2462 *Pay Transparency Notice:* Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include bonus eligibility + equity eligibility**+ benefits (including medical, dental, vision and 401(k)). Pay Range: $180,370-$212,200 USD Please be advised that each candidate may submit a maximum of four applications within any 30-day period. We encourage you to carefully evaluate how your skills and interests align with Coinbase's roles before applying. Commitment to Equal Opportunity Coinbase is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the *********************************************** in certain locations, as required by law. Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations*********************************** Global Data Privacy Notice for Job Candidates and Applicants Depending on your location, the General Data Protection Regulation (GDPR) and California Consumer Privacy Act (CCPA) may regulate the way we manage the data of job applicants. Our full notice outlining how data will be processed as part of the application procedure for applicable locations is available **************************************************************** AI Disclosure For select roles, Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. A human recruiter will review your interview responses, provided in the form of a voice recording and/or transcript, to assess them against the qualifications and characteristics outlined in the job description. For select roles, Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. *The above pilots are for testing purposes and Coinbase will not use AI to make decisions impacting employment*. To request a reasonable accommodation due to disability, please contact accommodations[at]coinbase.com.

**Our Mission** As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers. (*Comscore, Total Visits, March 2025) **Day to Day** At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Senior Marketing Data Scientist to define and drive our data science endeavors for Indeed's Marketing organization.The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams. Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day. As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers. **Responsibilities** + Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Incrementality testing. + Mentor and grow other data scientists, data engineers and Machine Learning Engineers across teams. + Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization + Partner with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences + Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements **Skills/Competencies** + Bachelor's Degree in Computer Science, Mathematics, Statistics + 7+ years of experience in data science, analytics, Machine Learning or a related field + Prior success in deploying impactful Machine Learning solutions to large-scale production systems, while engaging across teams + A deep understanding of machine learning, statistical modelling, and predictive analytics. + Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale and experience using LLMs + Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with marketing or product teams to drive business growth + Experience communicating and influencing marketing, technical, and business direction across all levels of a large organization + Knowledge and practical experience working on Deep Learning Libraries (like Torch, Tensorflow, etc.) **Salary Range Transparency** US Remote 154,000 - 224,000 USD per year Austin Metro Area 154,000 - 224,000 USD per year NYC Metro Area 171,000 - 247,000 USD per year Seattle Metro Area 164,000 - 239,000 USD per year San Francisco Bay Area 180,000 - 260,000 USD per year **Salary Range Disclaimer** The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits. **Benefits - Health, Work/Life Harmony, & Wellbeing** We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at **************************************** **Equal Opportunities and Accommodations Statement** Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, family status, marital status, sexual orientation, national origin, genetics, neuro-diversity, disability, age, or veteran status, or any other non-merit based or legally protected grounds. Indeed provides reasonable accommodations to qualified individuals with disabilities in the employment application process. To request an accommodation, please visit ********************************************** If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview. For more information about our commitment to equal opportunity/affirmative action, please visit our Careers page (******************************** **Inclusion & Belonging** Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity. We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment. Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome. **Indeed's Employee Recruiting Privacy Policy** Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at **************************** , we also want to make you aware of our recruitment specific privacy policy found at ****************************/indeed-jobs . **Agency Disclaimer** Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening. **Reference ID:** **46205** **The deadline to apply to this position is [12/5/2025]. Job postings may be extended at the hiring team's discretion based on applicant volume.** It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Reference ID: 46205

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 Senior 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 Senior 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. This role is located onsite in Pewaukee, WI. Candidates must be local in order to be considered. Essential Duties and 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 Minimal Qualifications: Bachelor's or Master's degree in a quantitative field such as Data Science, Mathematics, Statistics, Computer Science, or Engineering 5+ years of experience working as a Data Scientist or similar role, preferably in a manufacturing environment Knowledge, Skills and Abilities: Strong knowledge of statistical analysis and machine learning techniques Proficient in programming languages such as Python or R Experience working with SQL and data visualization tools such as Power BI Experience working with Microsoft Azure for developing and deploying machine learning solutions Ability to communicate complex findings to non-technical stakeholders in a clear and concise manner Strong problem-solving skills and the ability to work in a fast-paced environment #LI-UF1 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.”

What you will do In this exciting role you will lead the effort to build and maintain a digital twin of our mission critical North American closed-loop critical minerals supply chain. This is not only a $2.2B global network that represents over half of Clarios' NA's cost of goods sold, it also is a vital for the US economy - directly enabling consumers and business to stay on the road! 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 and what if analytics and generate prescriptive insights / outcomes. Wrangle and analyze and model data with Python and SQL; perform feature engineering, data quality checks, and exploration 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 Lead complex solution development, scoping and utilize design thinking principles for customer centric model delivery 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. Potential travel up to 5-10% What we look for Required Bachelor's degree in Statistics, Mathematics, Computer Science, Engineering, or related field-or equivalent practical experience. 3-5 years of 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. 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. 5+ years of experience in data analytics Master's Degree in Statistics, Economics, Data Science or Computer Science. How you will be successful 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. 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.

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

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 (******************************************************************************************************* . Requests for reasonable accommodations will be reviewed on a case-by-case basis. For more information about how we collect and use your data, please review our Privacy Policy (**************************************** .

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.

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

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 : ************ ************************************

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

**_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 (***************************************************************************************************************************

Individual(s) must be legally authorized to work in the United States without the need for immigration support or sponsorship from Milliman now or in the future. Milliman is seeking a technically savvy, analytically strong Healthcare Data Analyst Lead to manage analytics and technology projects as well as coach and mentor junior analytical staff. The ideal candidate is someone seeking to join a challenging, yet rewarding environment focused on delivering world-class analytics across a variety of healthcare-related domains to a variety of healthcare entities. Who We Are Independent for over 75 years, Milliman delivers market-leading services and solutions to clients worldwide. Today, we are helping companies take on some of the world's most critical and complex issues, including retirement funding and healthcare financing, risk management and regulatory compliance, data analytics and business transformation. Job Responsibilities Lead and manage analytics and technology projects from data ingestion through delivery. Design, develop, and optimize data processes and workflows supporting large healthcare datasets. Perform and oversee ETL, validation, and transformation tasks for claims, eligibility, and pharmacy data. Guide project teams through the full “data-to-deliverable” lifecycle, ensuring accuracy and efficiency. Build analytical models, dashboards, and data pipelines to support consulting engagements. Collaborate with consultants, actuaries, and project managers to interpret results and deliver client insights. Review and approve technical work from peers and junior analysts to ensure quality standards are met. Mentor, coach, and delegate to analytical staff to strengthen technical and professional development. Contribute to innovation and process improvement initiatives, including automation, cloud enablement, and AI integration. Participate in client meetings and presentations, occasionally requiring travel. Minimum requirements Bachelor's degree required (Computer Science, Management Information Systems, Computer Engineering, Math, Actuarial Science, Data Analytics, or related degree is preferred) 6+ years of experience in healthcare data analytics or a related technical analytics role. Advanced proficiency with SQL and Microsoft Excel for data analysis, validation, and automation. Strong programming skills in Python, R, or other analytical languages. Experience with data visualization and reporting tools (e.g., Power BI, Tableau, or R Shiny). Solid understanding of healthcare data structures, including claims, eligibility, and provider data. Proven ability to lead multiple projects simultaneously while mentoring and developing junior team members. Experience with cloud data technologies (e.g., Azure Data Factory, Databricks, Snowflake, AWS Redshift, or similar). Exposure to AI or Generative AI tools for data analysis, automation, or insight generation is preferred, but not required. Competencies and Behaviors that Support Success in this Role Deep understanding of database architecture and large-scale healthcare data environments. Strong analytical thinking and the ability to translate complex data into actionable insights. Excellent communication skills, including the ability to explain technical concepts to non-technical audiences. Highly organized, detail-oriented, and able to manage competing priorities. Collaborative and proactive leadership style with a focus on mentorship and knowledge-sharing. Passion for applying analytics to improve healthcare performance, quality, and cost outcomes. Demonstrated accountability for quality, timelines, and client satisfaction. Fast learner who thrives in a dynamic, innovation-driven environment. The Team The Healthcare Data Analyst Lead will join a team that thrives on leveraging data, analytics, and technology to deliver meaningful business value. This is a team with technical aptitude and analytical prowess that enjoys building efficient and scalable products and processes. Ultimately, we are passionate about effecting change in healthcare. We also believe that collaboration and communication are cornerstones of success. The Healthcare Data Analyst Lead will also join a mix of Healthcare Analysts, Leads, Consultants, and Principals. In addition, as part of the broader Milliman landscape, they will work alongside Healthcare Actuaries, Pharmacists, Clinicians, and Physicians. We aim to provide everyone a supportive environment, where we foster learning and growth through rewarding challenges. Salary: The overall salary range for this role is $104,900 - $199,065. For candidates residing in: Alaska, California, Connecticut, Illinois, Maryland, Massachusetts, New Jersey, Notable New York City, Newark, San Jose, San Francisco, Pennsylvania, Virginia, Washington, or the District of Columbia the salary range is $120,635 - $199,065. All other locations the salary range is $104,900 - $173,100. A combination of factors will be considered, including, but not limited to, education, relevant work experience, qualifications, skills, certifications, etc. Location : It is preferred that candidates work on-site at our Brookfield, Wisconsin office, however, remote candidates will be considered. The expected application deadline for this job is May 25, 2026. Benefits We offer a comprehensive benefits package designed to support employees' health, financial security, and well-being. Benefits include: Medical, Dental and Vision - Coverage for employees, dependents, and domestic partners. Employee Assistance Program (EAP) - Confidential support for personal and work-related challenges. 401(k) Plan - Includes a company matching program and profit-sharing contributions. Discretionary Bonus Program - Recognizing employee contributions. Flexible Spending Accounts (FSA) - Pre-tax savings for dependent care, transportation, and eligible medical expenses. Paid Time Off (PTO) - Begins accruing on the first day of work. Full-time employees accrue 15 days per year, and employees working less than full-time accrue PTO on a prorated basis. Holidays - A minimum of 10 observed holidays per year. Family Building Benefits - Includes adoption and fertility assistance. Paid Parental Leave - Up to 12 weeks of paid leave for employees who meet eligibility criteria. Life Insurance & AD&D - 100% of premiums covered by Milliman. Short-Term and Long-Term Disability - Fully paid by Milliman. Equal Opportunity: All qualified applicants will receive consideration for employment, without regard to race, color, religion, sex, sexual orientation, national origin, disability, or status as a protected veteran.

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

About the Role: We are seeking a highly skilled and motivated Data Engineer to join our team as an individual contributor. In this role, you will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure that support our data-driven initiatives. You will work closely with cross-functional teams to ensure data availability, quality, and performance across the organization. About Us Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six countries and 43 markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at slalom.com. Key Responsibilities: * Design, develop, and maintain robust data pipelines using Java and Python. * Build and optimize data workflows on AWS using services such as EMR, Glue, Lambda, and NoSQL databases. * Leverage open-source frameworks to enhance data processing capabilities and performance. * Collaborate with data scientists, analysts, and other engineers to deliver high-quality data solutions. * Participate in Agile development practices, including sprint planning, stand-ups, and retrospectives. * Ensure data integrity, security, and compliance with internal and external standards. Required Qualifications: * 5+ years of hands-on experience in software development using Java and Python (Spring Boo). * 1+ years of experience working with AWS services including EMR, Glue, Lambda, and NoSQL databases. * 3+ years of experience working with open-source data processing frameworks (e.g., Apache Spark, Kafka, Airflow). * 2+ years of experience in Agile software development environments. * Strong problem-solving skills and the ability to work independently in a fast-paced environment. * Excellent communication and collaboration skills. Preferred Qualifications: * Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, CloudFormation). * Familiarity with data governance and data quality best practices. * Exposure to data lake and data warehouse architectures. Compensation and Benefits Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and short/long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses. EEO and Accommodations Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements. Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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.

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

Senior Cloud Data Platform Engineer . *This role can be REMOTE, Onsite or Hybrid INNOVATE without boundaries! At Milwaukee Tool we firmly believe that our People and our Culture are the secrets to our success -- so we give you unlimited access to everything you need to provide support to your business unit. Behind our doors you'll be empowered every day to own it, drive it, and do what it takes to support the biggest breakthroughs in the industry. Meanwhile, you'll have the support and resources of the fastest-growing brand in the construction industry to make it happen. Your Role on Our Team: As a Cloud Data Platform Engineer, you will be responsible for administering, optimizing, and supporting our cloud-based data platforms, including Databricks, Azure Data Lake Storage (ADLS), Microsoft Fabric , and Azure Data Factory (ADF). You'll ensure secure, scalable, and reliable data infrastructure, enabling analytics and data engineering teams to deliver business value. You'll collaborate with IT, data engineering, and business stakeholders to drive operational excellence and innovation across our data ecosystem. You'll be DISRUPTIVE through these duties and responsibilities: Administer and maintain Databricks Azure account, workspaces, Unity Catalog, and metastore configurations using infrastructure as code such as Terraform. Provision, monitor, and optimize Azure Data Lake Storage (ADLS) environments for performance and security such as secrets, credentials, and service principals using Azure Key Vault and related tools. Develop, orchestrate, and troubleshoot Azure Data Factory (ADF) pipelines for ETL and data movement. Implement and enforce role-based access controls and data governance policies across platforms. Monitor platform health, usage, and costs; build dashboards for observability and incident response. Proactively research and evaluate emerging cloud data technologies, tools, and best practices; design and execute proof-of-concept (POC) projects to assess their potential value and applicability for Milwaukee Tool's data platform. Collaborate with data engineering and analytics teams to support data product delivery and resolve platform issues. Document support procedures, playbooks, and contribute to knowledge base articles for common issues. Performs other duties as assigned. The TOOLS you'll bring with you: Bachelor's degree in a technical field or equivalent relevant experience. Experience administering Databricks, Azure and ADF in an enterprise environment. Proficiency with Terraform, Azure GitHub/DevOps, and CI/CD pipeline management. Advanced proficiency in SQL, Python, Spark. Applies and advocates for coding and testing standards. Strong understanding of cloud security, data governance, and role-based access control. Experience with monitoring tools, incident response, and operational dashboards. Solid written, verbal, analytical, and interpersonal skills. Ability to collaborate and communicate effectively with cross-functional teams. Other TOOLS we prefer you to have: Experience supporting machine learning and advanced analytics workloads. Familiarity with reporting solutions such as Power BI. Knowledge of multi-cloud environments and hybrid data architectures. Working Conditions: The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Frequently required to stand, walk, bend, stretch, reach, and effectively communicate with others in the workplace Sitting for prolonged periods of time Prolonged exposure to computer screens Repetitive use of hands and fingers to operate office equipment, machinery, hand tools and/or power tools Specific vision abilities required by this job include close vision, color vision, peripheral vision, depth perception, and ability to adjust focus May require to wear personal protective equipment which includes, but is not limited to, safety glasses, gloves, and hearing protection May work in laboratories and/or controlled, enclosed, restricted areas Noise levels range from moderate to loud Must be able to lift up to 50 pounds at a time May require travel dependent on company needs We provide these great perks and benefits: Robust health, dental and vision insurance plans Generous 401 (K) savings plan Education assistance On-site wellness, fitness center, food, and coffee service And many more, check out our benefits site HERE. Milwaukee Tool is an equal opportunity employer.

Prolifics is seeking for a Senior Data Engineer with expereince in Snowflake and Talend to join our Information ManagementTeam. The candidate needs to be a self-starter, smart, and a highly motivated team player with effective communication skills. In addition, the candidate must value producing quality software and have a solid grounding a strong technical background and good communication skills. Candidates are requird to work at client work location in Montreal, QC. If you crave the freedom of contract work, and thrive in the energetic atmosphere of short/long-term, high profile projects, we want to talk to you today about this opportunity. Let's connect and put your skills to work for us! Contact us directly at **************************** or visit our Careers Page to see a full list of opportunities with Prolifics Qualifications: Hands on experience 5+ years in Snowflake and virtual data warehouse set up Snowflake data modeling Must have done projects where semi-structured and unstructured data is brought into Snowflake Deep understanding of using REST API Hands on background in Talend 5+ years Hands on experience in SQL and PL SQL Power BI Semantic model experience Knowledge of Azure Summary Job Type: Contract Compensation: Hourly Location: Montreal, QC Project Duration: 12 months Contract Renewal: Likely