job summary: Top place to work. 1/2 day Fridays during summer. Onsite M, T, Wed. WFH Thu/Fri 100% relocation offered! https://hellowestmichigan.com/ 30 minutes from the beach! Hybrid work. RMN (Retail Media Network a plus, not required) This is a hybrid role meaning you have to be in our Grand Rapids office Monday - Wednesday. Relocation Assistance may potentially be provided. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data. What You'll Be Doing: <ul> <li>Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance <li>Partner with product development to define requirements which meet system and customer experience needs for data science projects <li>Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables <li>Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs <li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology <li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations. <li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow. <li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail. <li>Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm. <li>Provides data science strategy to ensure code modernization and industry standard patterns for data science. <li>Provides guidance to development teams within domain (Commerce, Services or Mobile). <li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science. <li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers. <li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution <li>Responsible to define, document & follow best practices & approve for ML/AI development <li>Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products <li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products <li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy <li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact <li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required</ul> Education: <ul> <li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field <li>Certifications: Azure Data Science Associate, Azure AI, Safe Agile</ul> What You Bring with You (Qualifications): <ul> <li>8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI <li>Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK <li>Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub <li>Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models <li>Developed efficient and effective solutions to diverse and complex business problems <li>Technical team leadership experience. <li>Experience in Scaled Agile framework is preferred. <li>Proactive and action oriented <li>Ability to collaborate with, and present to internal and external partners <li>Experience in the retail industry or in a production/service environment is preferred.</ul> location: GRAND RAPIDS, Michigan job type: Permanent salary: $140,000 - 180,000 per year work hours: 8am to 4pm education: Masters responsibilities: This is a hybrid role meaning you have to be in our Grand Rapids office Monday - Wednesday. Relocation Assistance may potentially be provided. The Data Science team leads the strategy, development and integration of Machine Learning and Artificial Intelligence. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data. What You'll Be Doing: <ul> <li>Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance <li>Partner with product development to define requirements which meet system and customer experience needs for data science projects <li>Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables <li>Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs <li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology <li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations. <li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow. <li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail. <li>Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm. <li>Provides data science strategy to ensure code modernization and industry standard patterns for data science. <li>Provides guidance to development teams within domain (Commerce, Services or Mobile). <li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science. <li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers. <li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution <li>Responsible to define, document & follow best practices & approve for ML/AI development <li>Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products <li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products <li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy <li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact <li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required</ul> Education: <ul> <li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field <li>Certifications: Azure Data Science Associate, Azure AI, Safe Agile</ul> What You Bring with You (Qualifications): <ul> <li>8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI <li>Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK <li>Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub <li>Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models <li>Developed efficient and effective solutions to diverse and complex business problems <li>Technical team leadership experience. <li>Experience in Scaled Agile framework is preferred. <li>Proactive and action oriented <li>Ability to collaborate with, and present to internal and external partners <li>Experience in the retail industry or in a production/service environment is preferred.</ul> qualifications: <ul><li>Experience level: Experienced<li>Minimum 8 years of experience<li>Education: Masters</ul> skills: <li>Data Warehouse<li>Data Analysis<li>Azure<li>SQL Server<li>SQL<li>RMN<li>Retail Media Network<li>Artificial intelligence<li>Python<li>TensorFlow<li>panda<li>numpy<li>synapse<li>databricks Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status. At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com. Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility). This posting is open for thirty (30) days.

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards <ul><li>Weekly pay</li><li>Scheduling flexibility</li><li>Paid parental leave</li><li>Paid education assistance</li><li>Team member discount</li><li>Development programs for advancement and career growth</li></ul> Please review the job profile below and apply today! The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. As a Principal Data Scientist for the Retail Media Network, your crucial contributions will amplify customer engagement and satisfaction, boost digital conversion rates, and enhance operational efficiency through innovative, data-focused strategies for tailoring and assessing campaign performance. This encompasses the implementation of closed-loop measurement, last-touch and multi-touch attribution, as well as incremental measurement and personalization techniques. By deploying these methodologies, data scientists at Meijer deliver substantial business value, reduce risks associated with business operations, and make a marked difference in the customer experience. In this capacity, you will engage directly with teams across product development, merchandising, marketing, operations, ITS, e-commerce, and external vendor partners. Your responsibilities will include leading, advising, or managing a portfolio of highly complex data science projects, programs, or domains that significantly influence the company and necessitate a deep understanding of various architectural disciplines, including technological, solution-oriented, business, and informational/data aspects. What You'll Be Doing: <ul><li>Execute the overarching RMN data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance</li><li>Collaborate with product development to establish requirements that align with both system capabilities and customer experience objectives for data science initiatives.</li><li>Develop, deploy, and perfect a last-touch and multi-touch attribution framework for the retail media network through teamwork with marketing, operations, data engineering, product management, & other key players, leveraging diverse data sources including digital and in-store.</li><li>Spearhead the design and execution of advanced statistical modeling techniques and machine learning algorithms to analyze complex data sets, uncover key drivers of consumer behavior, and attribute marketing touchpoints accurately.</li><li>Plan and manage A/B testing to confirm and enhance the attribution model's efficacy, ensuring its reliability and statistical validity.</li><li>Keep up-to-date with the latest developments in incrementality, last-touch and multi-touch attribution techniques, industry movements, and new technologies, incorporating them to improve the model's accuracy.</li><li>Promote ongoing refinement and enhancement of the attribution & incrementality model by monitoring its effectiveness, analyzing performance indicators, and making informed adjustments.</li><li>Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions supporting RMN team initiatives</li><li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology</li><li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.</li><li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.</li><li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across RMN, IAB/MRC retail media measurement standards, data science, AI and retail.</li><li>Mentors and provides technical leadership to a team of data scientists, promoting a culture of collaboration, innovation, curiosity, accountability, & enthusiasm.</li><li>Provides data science strategy to ensure code modernization and industry standard patterns for data science.</li><li>Provides guidance to development teams within domain (Commerce, Services or Mobile).</li><li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science.</li><li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.</li><li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution</li><li>Responsible to define, document & follow best practices & approve for ML/AI development at Meijer</li><li>Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products</li><li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products</li><li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy</li><li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact</li><li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required</li></ul> What You Bring with You (Qualifications): <ul><li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field </li><li>Certifications: Azure Data Science Associate, Azure AI, Safe Agile</li><li>8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI</li></ul>

As a family company, we serve people and communities. When you work at Meijer, you're provided with career and community opportunities centered around leadership, personal growth and development. Consider joining our family - take care of your career and your community! Meijer Rewards <ul><li>Weekly pay</li><li>Scheduling flexibility</li><li>Paid parental leave</li><li>Paid education assistance</li><li>Team member discount</li><li>Development programs for advancement and career growth</li></ul> Please review the job profile below and apply today! This is a hybrid role meaning you have to be in our Grand Rapids office Monday - Wednesday. Relocation Assistance may potentially be provided. The Data Science team at Meijer leads the strategy, development and integration of Machine Learning and Artificial Intelligence at Meijer. Data Scientists on the team will drive customer loyalty, digital conversion, and system efficiencies by delivering innovative data driven solutions. Through these solutions, the data scientists drive material business value, mitigating business and operational risk, and significantly impacts the customer experience. This role works directly with product development, merchandising, marketing, operations, ITS, ecommerce, and vendor partners. The position will lead, consult or oversee multiple highly complex data science projects/programs/domains that have significant impacts and require in-depth technical knowledge across multiple specific architecture disciplines such as technology, solution, business, or information/data. What You'll Be Doing: <ul><li>Deliver against the overall data science strategy to drive in-store and digital merchandising, marketing, customer loyalty, and operational performance</li><li>Partner with product development to define requirements which meet system and customer experience needs for data science projects</li><li>Partner with Merchandising, Supply Chain, Operations and customer insights to understand the journey that will be improved with the data science deliverables</li><li>Build production ready prototypes for, and iteratively develop, end-to-end data science pipelines including custom algorithms, statistical models, machine learning and artificial intelligence functions to meet end user needs</li><li>Partner with product development and technology teams to deploy pipelines into production MLOps environment following Safe Agile methodology</li><li>You will architect, design, and lead the development and implementation of machine learning algorithms and models for a data science capability within Digital Services, Merchandising, Marketing, Supply Chain and Operations.</li><li>Designs, codes, and implements new industry leading design patterns in data science, to create the convention/technique/practice that teams are accountable to follow.</li><li>Foster a culture of innovation by keeping up-to-date with the latest industry trends and research across data science, AI and retail.</li><li>Mentors data science teams and promotes a culture of curiosity, accountability, & enthusiasm.</li><li>Provides data science strategy to ensure code modernization and industry standard patterns for data science.</li><li>Provides guidance to development teams within domain (Commerce, Services or Mobile).</li><li>Leads non-functional requirements (NFRs) such as security, reliability, performance, maintainability, scalability, and usability related to data science.</li><li>Promotes the implementation of new technology, solutions, and methods to improve business processes, efficiency, effectiveness, and value delivered to customers.</li><li>Proactively identify data driven solutions for strategic cross-functional initiatives, develop and present business cases, and gain stakeholder alignment of solution</li><li>Responsible to define, document & follow best practices & approve for ML/AI development at Meijer</li><li>Own communication with data consumers (internal and external) to ensure they understand the data science products, have the proper training, and are following the best practices in application of data science products</li><li>Define and analyze Key Performance Indicators to monitor the usage, adoption, health and value of the data products</li><li>Identify and scope, in conjunction with IT, the architecture of systems and environment needs to ensure that data science systems can deliver against strategy</li><li>Build and maintain relationships with key partners, suppliers and industry associations and continue to advance data science capabilities, knowledge and impact</li><li>This job profile is not meant to be all inclusive of the responsibilities of this position; may perform other duties as assigned or required</li></ul> Education: <ul><li>Advanced Degree (MA/MS, PhD) in Data Science, Computer Science, Mathematics, Statistics, Economics, or related quantitative field </li><li>Certifications: Azure Data Science Associate, Azure AI, Safe Agile</li></ul> What You Bring with You (Qualifications): <ul><li>8+ years of relevant data science experience in an applied role - preferable w/in retail, logistics, supply chain or CPG with a focus on NLP and AI</li><li>Advanced and hands on experience using: Python, Databricks, Azure ML, Azure Cognitive Service, Ads Data Hub, BIQuery, SAS, R, SQL, PySpark, Numpy, Pandas, Scikit Learn, TensorFlow, PyTorch, AutoTS, Prophet, NLTK</li><li>Experience with Azure Cloud technologies including Azure DevOps, Azure Synapse, MLOps, GitHub</li><li>Solid experience working with large datasets and developing ML/AI systems such as: natural language processing, speech/text/image recognition, supervised and unsupervised learning models, forecasting and/or econometric time series models</li><li>Developed efficient and effective solutions to diverse and complex business problems</li><li>Technical team leadership experience.</li><li>Experience in Scaled Agile framework is preferred.</li><li>Proactive and action oriented</li><li>Ability to collaborate with, and present to internal and external partners</li><li>Experience in the retail industry or in a production/service environment is preferred.</li></ul>

<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

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September 1, 2024

Sr Associate Data Scientist
August 30, 2024

Manager Data Scientist
August 24, 2024

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Data ScientistSeptember 16, 2024

Principal Data ScientistSeptember 15, 2024

Principal Data Scientist RmnSeptember 11, 2024

Principal Data ScientistSeptember 11, 2024

Manager Data ScientistSeptember 7, 2024

Data ScientistSeptember 1, 2024

Sr Associate Data ScientistAugust 30, 2024

Manager Data ScientistAugust 24, 2024