<h5 class="article__header__text__title article__header__text__title--4">General Information</h5>
 
 

 
 
 
 Country: USA
 
 State: Michigan
 
 City: Grand Rapids
 
 Office Location: P.O. Box 1967 - - I - - - 
 
 Date posted: 30-Aug-2024
 
 Business Function: Information Technology
 
 Position Type: Full-Time/Regular
 
 
 
 
 
 
 
 
 <h5 class="article__header__text__title article__header__text__title--4">Description</h5>
 
 

 
 We are seeking a data science professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team. What You Will Be Doing: Data science is the practice of generating novel information, which cannot be found by lookup in the raw or explicit data available, by statistical and mathematical techniques in order to augment and/or automate decisions and processes critical to business success. We are seeking a data science professional who is innovative, analytical, solutions-oriented, and an effective communicator to join our team. You will work as an internal consultant in relationship with business partners and experts in diverse business and technical domains to conceive, design, develop, and deliver solutions to complex and ambiguous problems by the application of data science or Artificial Intelligence (AI). If given the opportunity to leverage any of the skills or abilities below, you'll find a way, whether you have the skill now or acquire it through study, practice, or learning from experts. Who You Are: <ul><li>Ability to act as an internal consultant to conceive, design, develop and deliver solutions to complex and ambiguous business problems by the application of data science or Artificial Intelligence (AI) </li><li>Ability to frame business problems as "data problems" to be solved with data and algorithms </li><li>Ability to effectively communicate methods and solutions to diverse audiences at various levels of organizational hierarchy and various levels of technical knowledge </li><li>Ability to collaborate on multi-disciplinary Agile teams to ensure clarity of product/project demands and quality of product/project delivery </li><li>Knowledge and application of data science or Artificial Intelligence (AI) including </li><ul> <li>Ability to prepare data for analysis including data cleansing, data harmonization, data augmentation, data imputation, exploratory data analysis, principal components analysis, feature engineering, feature reduction, and feature selection </li><li>Ability to work with various data types including structured data (tabular) and unstructured data such as text and image data </li><li>Knowledge and application of operations research and management science methods such as mathematical modeling, statistics, and optimization </li><li>Knowledge and application of statistics including distributions, sampling, simulation, and design of experiment </li><li>Knowledge and application of time series analysis including univariate and multivariate forecasting with models such as ARIMAX, exponential smoothing, and regressive neural networks </li><li>Knowledge and application of machine learning including unsupervised learning, supervised learning, and reinforcement learning </li><li>Knowledge and application of supervised learning methods and models such as linear regression, logistic regression, decision forest, gradient boosted trees, support vector machines, and neural networks </li><li>Knowledge and application of neural network structures including multi-layer perceptrons, recurrent neural networks, convolutional neural networks, and transformers </li><li>Knowledge and application of signal processing methods </li><li>Knowledge and application of both traditional and contemporary (neural networks) natural language processing methods </li><li>Ability to apply transfer learning based on industry-leading, pre-trained models </li><li>Ability to train and deploy predictive models including model training, measurement of model performance by various metrics, scoring observations, monitoring continued model performance and drift, and scheduling or triggering retraining </li></ul> <li>Proficiency in open-source programming to support data science work including at least one of the following languages: Python (with numpy, pandas, scikit-learn, matplotlib/seaborn, and TensorFlow/PyTorch), R (with tidyverse, caret, and ggplot2) </li><li>Proficiency in distributed storage / distributed compute environments (i.e. Databricks, Spark, PySpark) </li><li>Proficiency with optimization tool(s) (i.e. Google OR Tools, Gurobi, or MATLAB Optimization Toolbox) </li><li>Proficiency in data visualization using open source libraries (i.e. matplotlib, ggplot2) and dedicated applications (i.e. Tableau, PowerBI) </li></ul> Education/Experience: <ul><li>Advanced degree in quantitative or technical field including but not limited to Statistics, Mathematics, Data Science, Predictive Analytics, or Operations Research is highly preferred </li><li>Prior independent, academic, internship, or work experience in "Skills/Abilities" outlined above is required </li><li>General knowledge of manufacturing industry and business functions is preferred </li></ul> Who We Are: Steelcase is a global design and thought leader in the world of work. Along with our expansive community of brands, we design and manufacture innovative furnishings and solutions to help people do their best work in the many places where work happens. Why People Choose to Work with Us: At Steelcase, we put people at the center of everything we do. We understand the role of work and believe that it can bring meaning and purpose to the lives of our customers and our employees. We prioritize supporting our employees both in and out of work, in all aspects of their lives. When we bring our talents together, we make a positive lasting impact through our work and communities. What Matters to Us: More than qualifications, we're looking for talent and potential. We are proud to have a diverse and inclusive workforce, and we're always looking to improve our global community. We value applicants who are comfortable interacting with people different from themselves, building mutual respect and positive relationships. We invite people from all backgrounds and genders to apply. If we can make the application process easier through accommodation, please email us at myhr@steelcase.com. Steelcase provides employment opportunities to all qualified employees and applicants without regard to race, color, creed, genetic information, religion, national origin, gender, sexual orientation, gender identity and expression, age, disability, or veteran status and bases all employment decisions only on valid job requirements. We are proud to be recognized for our inclusive workforce by the Corporate Equality Index for the past nine years. Steelcase is a MVAA- Silver Level Veteran-Friendly Employer. Steelcase recognizes the amazing experiences and skills that Veteran's possess. We encourage all Veterans and Veteran Spouses to apply. Please see our Working at Steelcase Document for more detailed benefits and compensation information. If you're interested in Steelcase, but this isn't the right time or role, join our Talent Community to be updated on future openings in your area(s) of expertise.

Business Title: Sr. Associate, Data Scientist Requisition Number: 115703 - 45 Function: Advisory Area of Interest: Digital Lighthouse State: MI City: Grand Rapids Description: We are The Lighthouse within KPMG's Consulting practice. We tap into the power of emerging technologies and scientific breakthroughs to create solutions and products that address the largest and most complex issues faced by global companies. By blending technology with our industry expertise, we're able to harness the potential of Cloud, AI, ML, IoT, 5G, and quantum computing to design and implement real-world solutions for a variety of business problems. Work with confidence knowing your ideas are heard and backed by one of the world's top professional services firms. Spark your curiosity and ignite your career at The Lighthouse. KPMG is currently seeking a Sr. Associate to join our KPMG Lighthouse (https://home.kpmg.com/us/en/home/insights/2015/01/data-and-analytics.html?location=us) - Center of Excellence for Advanced Analytics. Responsibilities: Develop code to prepare, extract, and enrich a variety of structured and unstructured data sources, working with the business to understand available resources and constraints around data. Perform exploratory data analysis, generate and test working hypotheses, and uncover interesting trends and relationships. Build and implement machine learning algorithms to analyze and model structured or unstructured data. Understand benefits of different approaches to decide on tools, features, and methodology for the business problem. Leverage detailed knowledge of advanced statistical and mathematical methods from statistics, machine learning, data mining, econometrics, and operations research. Communicate technical details of solution, including mathematical formulations, alternatives, and impact on modeling approach to business stakeholders across industries (technology, financial services, emerging tech, government agencies - federal, state and local, and utilities). Create production quality data pipelines and ML pipelines that can be deployed at scale. Make use of in-house platforms in solution development, and recommend and develop new capabilities. Translate advanced business analytics problems into technical approaches that yield actionable recommendations, in diverse domains (risk management, product development, marketing research, supply chain, and public policy). Identify trends, patterns, and insights for data-driven decision making. Work in multi-disciplinary and cross-functional teams to rapidly iterate models and results to refine and validate approach; Work in a fast-paced and dynamic environment with both virtual and face-to-face interactions; Utilize structured approaches to solving problems, managing risks, and documenting assumptions while communicating results and educating others through insightful visualizations, reports, and presentations. Qualifications: Minimum of two years of experience leading work streams with at least two data scientists, engineers, and other data & analytics professionals, including innovation, quality management, utilizing analytics and software development processes for natural language processing, machine learning on unstructured data, and/or information retrieval; Multidisciplinary backgrounds. Master's Degree from an accredited college/university in Computer Science, Statistics, Data Science, Engineering, or related fields. PhD from an accredited college/university is preferred. Excellent problem-solving skills, verbal/written communication, and ability to explain technically complex concepts to business stakeholders. Deep technical understanding of data preparation approaches and machine learning algorithms. Solid experience performing data science from data discovery, cleaning, model selection, validation, to deployment. Experience coding artificial intelligence methods using object-oriented programming in a software development process, and ability to restructure, refactor, and optimize code for efficiency. Ability to utilize a diverse array of technologies and tools as needed, to deliver insights, such as fluency in Python or R; Experience with SQL and cloud technology preferred; Experience with command-line scripting, data structures, and algorithms; Ability to work in Linux and/or cloud environments; Ability to write production level code. Ability to travel up to eighty percent of the time; Applicants must be currently authorized to work in the United States without the need for visa sponsorship now or in the future. KPMG complies with all local/state regulations regarding displaying salary ranges. If required, the ranges displayed below or via the URL below are specifically for those potential hires who will work in the location(s) listed. Any offered salary is determined based on relevant factors such as applicant's skills, job responsibilities, prior relevant experience, certain degrees and certifications and market considerations. In addition, the firm is proud to offer a comprehensive, competitive benefits package, with options designed to help you make the best decisions for yourself, your family, and your lifestyle. Available benefits are based on eligibility. Our Total Rewards package includes a variety of medical and dental plans, vision coverage, disability and life insurance, 401(k) plans, and a robust suite of personal well-being benefits to support your mental health. Depending on job classification, standard work hours, and years of service, KPMG provides Personal Time Off per fiscal year. Additionally, each year the firm publishes a calendar of holidays to be observed during the year and provides two firmwide breaks each year where employees will not be required to use Personal Time Off; one is at year end and the other is around the July 4th holiday. Additional details about our benefits can be found towards the bottom of our KPMG US Careers site at 'Benefits & How We Work (https://www.kpmguscareers.com/why-kpmg/#benefits) '. Follow this link to obtain salary ranges by city outside of CA: https://kpmg.com/us/en/how-we-work/pay-transparency.html/?id=M150A_4_24KPMG LLP (the U.S. member firm of KPMG International) offers a comprehensive compensation and benefits package. KPMG is an affirmative action-equal opportunity employer. KPMG complies with all applicable federal, state and local laws regarding recruitment and hiring. All qualified applicants are considered for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, citizenship status, disability, protected veteran status, or any other category protected by applicable federal, state or local laws. The attached link 'https://assets.kpmg.com/content/dam/kpmg/us/pdf/2018/09/eeo.pdf? 'contains further information regarding the firm's compliance with federal, state and local recruitment and hiring laws. No phone calls or agencies please. KPMG does not currently require partners or employees to be fully vaccinated or test negative for COVID-19 in order to go to KPMG offices, client sites or KPMG events, except when mandated by federal, state or local law. In some circumstances, clients also may require proof of vaccination or testing (e.g., to go to the client site). KPMG recruits on a rolling basis. Candidates are considered as they apply, until the opportunity is filled. Candidates are encouraged to apply expeditiously to any role(s) for which they are qualified that is also of interest to them. GL: 5 GF: 15304

Job Description: Responsibilities: <ul> <li> Work with Walmart's AI/Client Platform Enablement team within the eCommerce Analytics team. </li> <li> The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision. </li> <li> Work closely with other Data Scientists to help with production models and maintain them in production. </li> <li> Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. </li> <li> Improve the model deployment process for MLE for faster builds and simplified workflows. </li> <li> Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture. </li> <li> Responsible for leading operational excellence initiatives in the AI/Client space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc. </li> <li> Design and implement different flavors of architecture to deliver better system performance and resiliency. </li> <li> Develop capability requirements and transition plan for the next generation of AI/Client enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale. </li> </ul> Tools/Skills: <ul> <li> bility to transform designs ground up and lead innovation in system design. </li> <li> Deep understanding of GenAI applications and NLP field. </li> <li> Hands-on experience in the design and development of NLP models. </li> <li> Experience in building LLM-based applications. </li> <li> Design and development of MLOps pipelines. </li> <li> Fundamental understanding on the data science parameterized and non-parameterized algorithms. </li> <li> Knowledge on AI/Client application lifecycles and workflows. </li> <li> Experience in the design and development of an Client pipeline using containerized components. </li> <li> Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s). </li> <li> Programming experience in Python, Pyspark, Pytorch, Langchain, Docker, Kubeflow. </li> <li> bility to use observability tools (Client, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system. </li> <li> Experience with Web development. </li> </ul> Education and Experience: <ul> <li> 6+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments. </li> <li> Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research). </li> <li> Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption. </li> </ul>

Job Description: Summary: This person will provide environmental compliance and sustainability support by maintaining, managing, and implementing environmental management information systems. This person will work with clients to identify, scope, manage environmental data quality and compliance projects, and provide technical solutions and support. Work will involve creating SQL-based regulatory reports, troubleshooting technical issues with the software platform, developing integrations with other data sources, creating compliance dashboards and email notifications, identifying data gaps, providing regulatory assistance for the preparation of compliance plans, and reviewing regulations and technical documents. Work may also involve performing environmental data analytics and generating dashboards to support clients in monitoring performance, enhancing environmental compliance, and bolstering sustainability initiatives. Minimum Qualifications: <ul> <li>2 years of experience supporting environmental software implementations in a consulting or industrial environment </li><li>Proficiency with SQL </li><li>Experience with air emission calculations </li><li>Experience and/or familiarity with federal and state environmental regulatory programs </li><li>Strong technical and problem-solving skills, including attention to detail, accuracy, and completeness, as well as a commitment to producing high-quality deliverables </li><li>Strong oral and written communication skills and the ability to communicate effectively with project team members, clients, and regulatory staff </li><li>Demonstrated ability to fulfill commitments on schedule and to do what it takes to meet clients' service expectations and requirements </li><li>Effectiveness in building working relationships and working on multidisciplinary project teams </li><li>A flexible working style and willingness to occasionally modify personal schedule as required to meet project deadlines and/or client needs </li><li>Self-initiative and motivation, with an emphasis on client service and cultivating a career in environmental consulting </li><li>Possession of a valid driver's license and acceptable driving record </li><li>Ability to travel to client locations and other Barr offices </li><li>Legal authorization to work in the United States without the need for sponsorship from Barr, now or in the future </li></ul>Preferred Qualifications: <ul> <li>Proficiency with Intelex ACTS and/or V6 software </li><li>Experience with off-the-shelf EHS software packages, such as EarthSoft EQuIS, Enablon, Cority, Sphera, and/or SAP EHS </li><li>Proficiency with programming languages such as Power BI, XML, Java, Python, or similar </li><li>Familiarity with requirements gathering, documentation, and organizational change management </li><li>Knowledge of and familiarity with federal and state regulatory agency staff, resource managers, and other government officials </li><li>Ability to process complex or rapidly developing information to extract key issues and implications and develop appropriate strategies </li><li>Aptitude for developing client relationships, leads, and opportunities and turning them into business </li></ul> A hybrid or remote work arrangement may be considered for this position. A hybrid arrangement refers to splitting time worked between a Barr office and a home office; a remote arrangement refers working primarily from a home office. This position can be based out of Barr's Minneapolis, Duluth, or Hibbing, Minnesota, Ann Arbor or Grand Rapids, Michigan, Bismarck, North Dakota, Denver Colorado, Jefferson City, Missouri, Reno, Nevada, or Salt Lake City, Utah. Remote arrangements will be considered based on candidate qualifications, location requirements, and Barr's needs. Fulfillment of the position responsibilities will require periodic travel. Colorado/Nevada Applicants Only: Compensation: The anticipated base salary range for this position is $85,000-$119,000. Compensation will vary based on experience, education, skill level, and other compensable factors. Employees in this position may also be eligible for a discretionary cash bonus. Our compensation comes in more ways than traditional base salary, and we believe that when all those elements are combined, our compensation is a competitive part of the total value proposition of working at Barr. Benefits: People report that they stay at Barr because of the camaraderie and career opportunities. Another draw is our competitive package of employee benefits, which includes professional development funding, 401(k) retirement savings plan, employee stock ownership plan (ESOP) participation, medical and dental insurance, life insurance, disability and accidental death insurance, flexible spending accounts for healthcare and dependent care expenses, paid holidays, paid time off, and compensatory time for exempt/salaried staff (time off or pay for extra time worked). #LI-Hybrid #LI-Remote Open positions at Barr Engineering Co. do not have application deadlines. Barr Engineering Co. is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

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Data Scientist Jobs in Grand Rapids, MI

Manager Data ScientistSeptember 7, 2024

Data ScientistSeptember 1, 2024

Sr Associate Data ScientistAugust 30, 2024

Manager Data ScientistAugust 24, 2024

Senior Data Scientist With Ecomm Analytics Remote TelecommuteAugust 13, 2024

Environmental Systems Analystdata Scientist Mid Level HybridremoteAugust 13, 2024