Data Engineer Jobs in Oak Park, MI

Ready to be pushed beyond what you think you're capable of? At Coinbase, our mission is to increase economic freedom in the world. It's a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform - and with it, the future global financial system. To achieve our mission, we're seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company's hardest problems. Our work culture is intense and isn't for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there's no better place to be. The Platform Product Group's mission is to build a trusted, scalable, and compliant platform to maximize velocity, efficiency and quality. They build the foundations that can be used by multiple products and teams at Coinbase so that users can have a consistent and high-quality experience. The Consumer Engineering Test Infrastructure team focuses on accelerating the development of high quality products by enabling validation of product behaviors at scale through automated test infrastructure. We are entirely engineering driven, identifying opportunities to enable developers to test high-fidelity production behaviors during development to enable catching and fixing bugs as early in the development cycle as possible. We are seeking an experienced and dynamic lead Software Engineer to join our team, and drive the technical strategy.This role is pivotal in driving automation and establishing a robust testing culture within the broader Consumer organization. It also offers a unique opportunity to build the team from the ground up. The ideal candidate will be responsible for leading and mentoring a team of SWEs, and drive business impact in terms of high-quality Consumer products at Coinbase. What you'll be doing (ie. job duties): Test Strategy and Infrastructure Set the technical strategy and roadmap for test automation Evaluate and introduce automated testing infrastructure and methodologies to improve product quality Oversee the creation and execution of test plans, test cases, and test scripts, to inform automation opportunities Integrate automated tests into CI/CD pipelines and streamline the testing process within the development lifecycle Leadership and stakeholder management Mentor a team of engineers, fostering a culture of continuous improvement and innovation Define testing best-practices and drive culture change within product teams to adopt them Partner effectively with stakeholders and align on outcomes Provide regular status updates to stakeholders on testing progress and quality outcomes Metrics and Insights Ensure thorough coverage across functional, integration, performance, and security testing Understand quality gaps, develop insights and drive best practices for testing, defect tracking and resolution What we look for in you: 8+ years of experience in software engineering shipping large-scale products You are passionate about development and production excellence You've experienced architecting and developing solutions to ambiguous problems with significant impact You're passionate about building an open financial system that brings the world together Nice to have: Crypto-forward experience, including familiarity with onchain activity such as interacting with Ethereum addresses, using ENS, and engaging with dApps or blockchain-based services. Job# GCBET06US #LI-Remote 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 target bonus + target equity + benefits (including medical, dental, vision and 401(k)). Pay Range: $218,025-$256,500 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 committed to diversity in its workforce and 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 Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program 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[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). 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 here. By submitting your application, you are agreeing to our use and processing of your data as required. For US applicants only, by submitting your application you are agreeing to arbitration of disputes as outlined here. Benefits at Coinbase Medical Plan, Dental and Vision Plan with generous employee contributions Health Savings Account with company contributions each pay period Disability and Life Insurance 401(k) plan with company match Wellness Stipend Mobile/Internet Reimbursement Connections Stipend Volunteer Time Off Fertility Counseling and Benefits Generous Time off/Leave Policy The option of getting paid in digital currency Learn more about our mission

Why GMF Technology? GM Financial is set to change the auto finance industry and is leading the path of embarking on tech modernization - we have a startup mindset, and preserve our small company culture, in a public company environment with financial stability and intense growth over a decade-plus history. We are data junkies and trust in data and insights to advance our business objectives. We take our goal of zero emission, zero collision, zero congestion, and zero friction very seriously. We believe as an auto finance market leader we are in the driver's seat to lead us in the GM EV mission to change the world. We are building global platforms, in LATAM, Europe, China, U.S. and Canada- and we are looking to grow our high-performing team. GMF is comprised of over 10,000 team members globally. Join our fintech culture within a Blue-Chip company where we are changing the way we use technology to support our customers, dealers and business. Flexible hybrid work environment (onsite 2 days a week/3 days remote) at our Arlington (AOC1), TX office. Responsibilities About this role A cloud engineer plays a crucial role in supporting Azure API Management (APIM), helping organization manage, secure, and scale their APIs. Supporting Azure APIM requires technical expertise, strategic planning, and teamwork. By performing below outlined job duties, a cloud engineer needs to ensure the efficient operation, security, and scalability of APIs, essential for an organization's digital transformation. JOB DUTIES API Management Designing, creating, and deploying APIs. Monitoring API usage and performance. Implementing versioning and updates. Ensuring API security through authentication and authorization mechanisms. Platform Configuration and Optimization Setting up APIM instance and configuring policies. Optimizing performance through caching and load balancing. Scaling the platform to accommodate fluctuating workloads. Security and Compliance Implementing security policies and practices to protect data. Ensuring compliance with relevant standards and regulations. Regularly monitoring and auditing security measures. Integration and Automation Integrating APIM with Azure DevOps for CI/CD pipelines. Automating deployment and monitoring tasks. Developing scripts and tools to streamline operations. Documentation and Support Creating and maintaining comprehensive documentation for APIs and platform configurations. Providing technical support and troubleshooting issues. Training and mentoring team members on best practices. Performance Monitoring and Troubleshooting Utilizing Azure Monitor and Application Insights for performance tracking. Identifying and resolving bottlenecks and issues. Conducting root cause analysis for persistent problems. Collaboration and Stakeholder Management Be available for an on-call rotation to participate in troubleshooting and communication efforts outside of normal business hours. Working closely with development and operations teams. Communicating with business stakeholders to understand requirements. Providing regular updates and reports on API performance and issues. Qualifications What makes you a dream candidate? Knowledge and Skills A solid grasp of core API concepts, such as RESTful services, SOAP, HTTP protocols, and API lifecycle management, is crucial. Familiarity with JSON, XML, and OpenAPI/Swagger specifications is also beneficial. Knowledge of Azure services, including resource management, Azure portal navigation, and cloud concepts, is required. Extensive working experience in Azure Resource Manager (ARM) templates, Terraform and Azure CLI are required Experience with security protocols such as OAuth, JWT, and API keys is necessary to ensure secure API interactions. Understanding Azure AD for authentication and authorization is also critical for safeguarding APIs. Skills in designing and developing APIs using languages like C#, Python, java, or Node.js are essential. Knowledge of API design best practices, including versioning, error handling, and documentation, is important for maintaining high-quality APIs. Proficiency in setting up and interpreting monitoring tools like Azure Monitor, Log Analytics, and Application Insights is crucial. These tools help in tracking API performance, identifying issues, and optimizing performance. Knowledge of configuring API gateways, policies, and developer portals within Azure APIM is essential. This includes setting up rate limiting, request/response transformations, and caching. Understanding how to integrate APIM with other Azure services like Azure Functions, Logic Apps, and Service Bus can enhance API capabilities. This integration facilitates serverless architectures and complex workflows. Familiarity with DevOps practices and tools such as Azure DevOps, Git, and Jenkins is important for automating API deployment and management. Knowledge of creating CI/CD pipelines for API versioning and updates ensures smooth and continuous delivery. Skills in identifying and resolving issues within APIs and the APIM platform are vital. This involves using logs, diagnostics tools, and understanding common error codes and their solutions. Ability to optimize API performance through techniques such as caching, load balancing, and efficient routing is important. Understanding the impact of various policies on API performance helps in fine-tuning configurations. Experience creating comprehensive documentation for APIs, policies, and configurations is necessary. Effective communication with stakeholders, including developers and business leaders, ensures alignment and successful API implementations. Education and Experience Bachelor's Degree in related field or equivalent work or military experience required required Master's Degree in a related field preferred 3-5 years of progressive IT experience with a minimum of 1 years' experience in software development, test automation, system administration or infrastructure/operations required 2-3 years of experience in cloud technologies with at least 1 year of project experience with Microsoft Azure, Amazon Web Services (AWS), Google Cloud Platform (GCP) or similar technologies required What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays. Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive. Compensation: Competitive pay and bonus eligibility Work Life Balance: Flexible hybrid work environment, 2-days a week in office #LI-DW1 #LI-Hybrid #GMFjobs

*Senior Frontend Developer (Angular)* *Full Time* *Detroit, MI* *$100,000+ (D.O.E.)* A pioneer in fully digital banking and financial services is seeking Senior Angular Developers to join the team responsible for enhancing a major customer-facing application to be more accessible and provide a smoother experience. If you are seeking a tightknit team and thrive in a fast-paced environment, keep reading and apply! *Required skills:* · 6+ years of frontend and UI development using JavaScript, HTML, CSS. · Proficiency using Angular with Typescript including NGRX and similar libraries. · Significant experience conducting unit tests for new software, ideally accustomed to Test Driven Development and Agile best practices. · Expertise in calling, creating, and testing APIs. · Understanding of relationship between Node.js and Angular, loading components into the UI, styling, and bootstrapping. *Responsibilities include but are not limited to:* · Create new UI components to support multiple clients and ultimately create new functions in a major customer-facing application. · Refactor existing codebase, test new code, and contribute in deployments and maintenance. · Create, call, and test APIs and web services, understanding the flow of data. · Pair up for regular pair programming and code review sessions, among other Agile ceremonies. *What's in it for you…?* · Join a team with a long project horizon that is responsible for major customer-facing applications. · Utilize cutting edge tools in a modern Agile environment while contributing to the modernization of the financial industry. · Enroll in weekly paychecks and comprehensive health benefits, as well as regular feedback sessions with your Brooksource liaison. *ABOUT EIGHT ELEVEN:* At Eight Eleven, our business is people. Relationships are at the center of what we do. A successful partnership is only as strong as the relationship built. We're your trusted partner for IT hiring, recruiting and staffing needs. For over 16 years, Eight Eleven has established and maintained relationships that are designed to meet your IT staffing needs. Whether it's contract, contract-to-hire, or permanent placement work, we customize our search based upon your company's unique initiatives, culture and technologies. With our national team of recruiters placed at 21 major hubs around the nation, Eight Eleven finds the people best suited for your business. When you work with us, we work with you. That's the Eight Eleven promise. Eight Eleven Group provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, national origin, age, sex, citizenship, disability, genetic information, gender, sexual orientation, gender identity, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state, and local laws. Job Type: Full-time Pay: $55.00 - $70.00 per hour Benefits: * Dental insurance * Health insurance * Vision insurance Schedule: * 8 hour shift * Monday to Friday * No nights * No weekends Ability to commute/relocate: * Detroit, MI 48243: Reliably commute or planning to relocate before starting work (Required) Work Location: Hybrid remote in Detroit, MI 48243

Epitec is seeking a Senior Software Packaging Developer will be responsible for analyzing, designing, developing, testing, certifying, and supporting software packages for installation on Windows and mac OS clients. *It's a w2 Role , C2C/ 1099 not accepted* Summary :The senior software package will work closely with the development community to create packaging and deployment solutions. The senior software packager will also collaborate with the Client Engineering teams to understand and define software packaging standards and guidelines. Responsibilities: Develop highly customized SCCM packages using PowerShell AppDeploy Toolkit and mac OS packages using Composer and Shell scripting that adhere to best practices and quality standards Develop scripts that are used in automating installations and perform other administrative tasks related to software packaging (custom actions) Troubleshoot and solve production issues Reimage PCs for use in testing software deployments and managing a sub lab Confer with internal customers to gain understanding of needs Collaborate with other team members to ensure communication and knowledge sharing Participate in team and other status meetings Update status in Jira Qualifications: Experience with Windows software packaging experience with InstallShield/AdminStudio and PowerShell App Deploy Toolkit Experience with mac OS software packaging using Composer and Shell scripting Fluent in PowerShell Strong experience with Microsoft Windows Installer Strong experience with Microsoft SCCM Strong Microsoft Windows 11 OS knowledge Strong Apple mac OS knowledge Experience with hardware and reimaging of PCs Familiar with HyperV and VMware Creativity in solving difficult packaging and deployment problems Able to deal with high pressure situations in a timely manner Ability to adapt to a fast paced environment where technology changes frequently Ability to positively influence team dynamics and the overall working environment Strong written and oral communication skills Excellent team and interpersonal skills #INDOEM

Principal Full Stack Engineer, DevOps We are looking for a full stack software engineer to join the DevOps transformation journey at Comerica. This is an exciting time to be part of our transformation as we migrate our CI/CD pipeline from Jenkins to Gitlab. This strategic shift aims to streamline our development workflows, enhance automation capabilities, and leverage GitLab's integrated DevOps platform for greater efficiency and collaboration. As a part of this transition, we are modernizing our build and deployment processes, ensuring improved scalability, traceability, and the developer's experience. The ideal candidate will be a key contributor in shaping the future of our CI/CD Infrastructure with new tools and best practices. The Principal Engineer role will provide engineering and architecture support for complex system management activities related to system software, hardware, performance, problem determination or resource management requiring communication and coordination with vendors, technicians, clients, and management. Responsibilities specific to this role include: Design, develop, and maintain high-quality software systems and features in a collaborative, Agile environment. Write clean, efficient, and testable code using languages such as Python, Java, C#, Go, or JavaScript (depending on stack). Collaborate with product managers, designers, and other engineers to bring new features and improvements to life. Participate in code reviews, design sessions, and architecture discussions. Build and maintain CI/CD pipelines using GitLab, supporting continuous integration, delivery, and deployment. Work with DevOps tools to improve automation, reliability, and system scalability. Monitor application performance and troubleshoot issues in production environments. Contribute to documentation and knowledge sharing across teams. Position Responsibilities: Design and Methodology Work closely with business units, application teams, infrastructure areas and vendors to identity, review and evaluate the solution requirements. Investigate and propose strategic fits for virtualization, consolidation and rationalization solution opportunities within the infrastructure or business. Propose changes to the technical architecture and design solutions as applicable. Evaluate and align strategic fit solutions across infrastructure platforms and solutions specific to system hardware and software technologies. Understand, participate, review and influence long term capacity planning and technology investments. Technical Consulting Provide Client consulting and planning guidance as applicable for moderate to large highly complex projects/programs. Provide consultation and works closely with other functional infrastructure areas/departments on multiple initiatives to meet common organizational / business goals and objectives. Participate in and provides consulting to project teams on architectural, design development, integration opportunities, planning of highly complex systems and assures it is aligned to our established strategies, guiding principles, rationales and practices. Planning and Organizing Identify and evaluate projects/programs/initiatives and design processes that enhance and rationalize existing and upcoming solutions. Map requirements into standard services solution, identity opportunities for integrating to existing or reuse technology and provide cost effective solutions for moderate to large highly complex project/programs/initiatives. Review, identify and manage requirements for moderate to complex solutions and do a cost value, feasibility and risk analysis. Risk Management Review, participate, develop and update architectural standards, guiding principles, rationales and strategies. Evaluate, review and approve highly complex design solutions for business and Infrastructure project or programs or initiatives. Position Qualifications: Bachelor's Degree from an accredited university in Computer Science, Engineering or in a Technology related field, OR equivalent through a combination of education and/or technology experience, OR 12 years of technology experience 7 years of experience identifying technical solutions for complex business problems, identifying the benefits and risks of the solutions and providing recommendations 6 years of Technology experience 5 years of experience mentoring another technologist This position is not eligible for sponsorship. Must have indefinite employment authorization. Preferred Qualifications: Experience working with microservices architectures or distributed systems Knowledge of frontend technologies (React, Angular, Vue) or mobile development is a plus Familiarity with monitoring/logging tools like Prometheus, Grafana, ELK stack Experience with test-driven development (TDD) and continuous delivery practices Experience with Docker, Kubernetes, ECS, and related technology stacks AWS certification(s), a plus Work Best Category: Category C - Days in the office will either be designated days or will vary week to week from 2-5 days Hours: 8:00am - 5:00pm Monday - Friday Salary: To Be Determined Based on Individual Experience About Comerica We know our employees are critical to our overall success and we are dedicated to investing in their future. One of the ways we do this is to offer a comprehensive Total Rewards package designed to recognize and reward individual performance, as well support health, well-being, development and security for our colleagues and their family. Total Rewards consists of cash compensation, development and flexible benefit programs designed to meet individual needs today and in the future. Your salary will be commensurate with your work experience and our programs are reviewed regularly to ensure each remain competitive. We are proud to offer benefits such as health and welfare programs, strong retirement benefits, and generous paid time off programs. You and your eligible family members, including domestic partners and their children, can participate in medical, dental, and vision benefits, 401(k) and pension, income protection benefits such as life insurance, AD&D, and supplemental health programs to offset unexpected health care expenses. We also have a variety of time off programs for things like vacation, sick time, disability, and parental leave. Eligibility for some programs varies based on employment status and tenure. Upon offer, Comerica conducts a comprehensive background and fingerprint check. Your fingerprints will be used to check the criminal history records of the FBI and may be subscribed in the FBI's Record of Arrest and Prosecution Background (“RAP Back”) service, which provides ongoing notification to the Company of any updates to your criminal history. NMLS certification requirement: where applicable, a favorable background check screening, credit check, fingerprint check, and NMLS certification is required in accordance with the SAFE Act. Comerica Incorporated (NYSE: CMA) is a financial services company headquartered in Dallas, Texas, and strategically aligned into three major business segments; the Commercial Bank, the Retail Bank, and Wealth Management. Comerica's colleagues focus on relationships, and helping people and businesses be successful. In addition to Texas, Comerica Bank locations can be found in Arizona, California, Florida and Michigan, with select businesses operating in several other states, as well as in Canada and Mexico. Comerica is proud to be an Equal Opportunity Employer - veterans/individuals with disabilities, committed to workplace diversity.

May Mobility is transforming cities through autonomous technology to create a safer, greener, more accessible world. Based in Ann Arbor, Michigan, May develops and deploys autonomous vehicles (AVs) powered by our innovative Multi-Policy Decision Making (MPDM) technology that literally reimagines the way AVs think. Our vehicles do more than just drive themselves - they provide value to communities, bridge public transit gaps and move people where they need to go safely, easily and with a lot more fun. We're building the world's best autonomy system to reimagine transit by minimizing congestion, expanding access and encouraging better land use in order to foster more green, vibrant and livable spaces. Since our founding in 2017, we've given more than 300,000 autonomy-enabled rides to real people around the globe. And we're just getting started. We're hiring people who share our passion for building the future, today, solving real-world problems and seeing the impact of their work. Join us. Lead Data Scientist As a Lead Data Scientist, you will be responsible for extracting insights from large datasets, developing predictive models, and driving data-driven decision-making across the organization. You will collaborate with cross-functional teams to identify business opportunities, solve complex problems, and optimize processes. The ideal candidate will have strong analytical skills, a deep understanding of statistical techniques and machine learning algorithms, and the ability to effectively communicate complex findings to stakeholders. Essential Responsibilities Analyze, build, test, and implement statistical and machine learning models that extract meaningful insights from large datasets Apply mathematical and statistical techniques for spatial and temporal data Develop and implement advanced predictive models Build data visualization, dashboards, and reports for internal and external customers Write and optimize efficient, maintainable code, collaborating with cross-functional teams Skills and Abilities Strong analytical skills with the ability to manipulate and analyze large datasets Excellent communication and presentation skills with the ability to convey complex findings to non-technical stakeholders Strong problem-solving skills with a focus on validation and accuracy of results Proficiency in programming languages such as Python and frameworks like PySpark Ability to work independently and as part of a team Ability to mentor team members and contribute to culture of continuous learning and improvement Experience in developing and optimizing data pipelines and ensuring data quality Qualifications and Experience Required B.S, M.S. or PhD. Degree in Engineering, Data Science, Math, Statistics, or a related field 7+ years of experience in data science 2+ Experience with programming languages such as Python and frameworks such as Pyspark Experience working with large and complex datasets Experience working with databases, such as Postgres, MySQL, SQL Server Track record of writing optimized, scalable code Desirable Background in robotics or related field and understanding of temporal and spatial data concepts Physical Requirements Standard office working conditions which includes but is not limited to: Prolonged sitting Prolonged standing Prolonged computer use Lift up to 50 pounds Remote role based out of Ann Arbor, MI. Remote employees work primarily from home or an alternative work space. Travel requirements - 0% The salary range provided is based on a position located in the state of Michigan. Our salary ranges can vary across different locations in the United States. Salary Range$167,000—$190,000 USD Benefits and Perks Comprehensive healthcare suite including medical, dental, vision, life, and disability plans. Domestic partners who have been residing together at least one year are also eligible to participate! Health Savings and Flexible Spending Healthcare and Dependent Care Accounts available. Rich retirement benefits, including an immediately vested employer safe harbor match. Generous paid parental leave with immediate eligibility as well as a phased return to work. Flexible vacation policy in addition to 18 paid company holidays. Total Wellness Program providing numerous resources for overall wellbeing Don't meet every single requirement? Studies have shown that women and/or people of color are less likely to apply to a job unless they meet every qualification. At May Mobility, we're committed to building a diverse, inclusive, and authentic workforce, so if you're excited about this role but your previous experience doesn't align perfectly with every qualification, we encourage you to apply anyway! You may be the perfect candidate for this or another role at May. Want to learn more about our culture & benefits? Check out our website! May Mobility is an equal opportunity employer. All applicants for employment will be considered without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity or expression, veteran status, genetics or any other legally protected basis. Below, you have the opportunity to share your preferred gender pronouns, gender, ethnicity, and veteran status with May Mobility to help us identify areas of improvement in our hiring and recruitment processes. Completion of these questions is entirely voluntary. Any information you choose to provide will be kept confidential, and will not impact the hiring decision in any way. If you believe that you will need any type of accommodation, please let us know. Note to Recruitment Agencies: May Mobility does not accept unsolicited agency resumes. Furthermore, May Mobility does not pay placement fees for candidates submitted by any agency other than its approved partners.

Turn it up to 11 as a Data Scientist! Elevens, as we call ourselves here, are passionately curious, highly collaborative, and unabashedly authentic. At Inspire11, we believe everyone drives change, everyone takes ownership of their career, and no idea is too odd to embrace. Our team learns from each other by pushing the boundaries of what's possible. We partner with our clients to define their strategies to optimize their business in all things data and digital. Whether that be modern data architecture, custom application development, or design thinking, and this is just scratching the surface. We are a team of puzzle solvers who take the various pieces that the client already has and assemble them in a way that reveals the bigger picture. We believe that the most impactful and innovative work includes and fosters a range of diverse perspectives. We've created a work environment in which you can expect: Individualized Professional Growth: You will have the opportunity to engage in growing the team and there are ample opportunities to define your path and develop your skillset Work life balance: We are respectful of people's boundaries and have unlimited time off so that our team has time to recharge and do their best work. We understand that our team members have different needs and we do our best to work with their schedules while accommodating client needs Vibrant company culture: We love to keep things light-hearted, both within our client work and at companywide events What you can expect in this role: Conduct detailed analyses to understand and explain business problems and utilize standard analysis skills Create clear and actionable Data Science roadmaps and supporting business cases Communicate Data Science methodologies to non-technical audiences Work with digital design and engineering practices on end-to-end solutions Identify the right data science and machine learning solution for the client's problem Tools for success: At least 2 years of Data Science experience Fluent in SQL and Python Experience seeing through a data science project from scoping to solution Fundamental knowledge of advanced analytics topics such as probability, hypothesis testing, research design, and machine learning algorithms Experience communicating your results visually Experience deploying models into a cloud environment Experience building applications that leverage GenAI/LLMs This role requires the willingness and ability to be onsite at the Inspire11 or client location depending on project needs to maximize in-person collaboration and build stronger relationships. Please note employees must be authorized to work for any employer in the U.S. Inspire11 is unable to sponsor or take over sponsorship of an applicant's employment visa. Compensation Range for Associate Consultant to Managing Consultant: $68,086 - $178,210 For more information regarding our compensation and benefit offerings please see below: U.S. Compensation & Benefits Compensation at Inspire11 Inspire11 follows Title VII of the Civil Rights Act of 1964, the Equal Pay Act of 1963, the Illinois Human Rights Act, the Illinois Equal Wage Act, and the Illinois Equal Pay Act of 2003. We believe that people performing the same role at the same level, with similar levels of ability or experience, should be similarly compensated. We also believe that the most critical factors driving compensation should be an Eleven's skill, experience, performance, responsibility, and effort. We may also consider an employee's length of service, relevant education, training, or certification, and the requirements of a specific job. We may also consider whether the cost of living or competition for talent in specific markets requires adjustments in compensation for employees in those markets. Our goal is to fairly compensate all our Elevens based on these factors within the Company's financial ability. Compensation may be increased or decreased at Inspire11's discretion based on an employee's performance reviews, market conditions, and the Company's financial performance. Inspire11 will always notify an employee in writing before any change is made to their compensation. Bonuses We may allow employees in Sales, Recruiting, or Leadership to earn periodic bonuses based on sales, revenue, client-specific or practice-specific targets. These targets are communicated to each eligible employee via offer letter or annual update. All such target-based bonuses are calculated based on the Company and an individual's periodic performance and will only be awarded if: (a) the employee is meeting performance expectations and is an employee in good standing of the Company; (b) the target is met; and (c) the Company's current financial performance and market conditions permit the bonus to be paid out. All periodic bonuses are discretionary and are earned only when paid out. Each year, the Company will decide whether the Company's financial performance, market performance, and business realities allow it to create an annual bonus pool. If the Company decides that annual bonuses may be awarded, then the Leadership Team, Market Directors, and Managing Directors will work together to grant annual bonuses to employees in good standing based on the same factors discussed in the previous paragraph while also considering employees' diligence, performance, expertise, skill, judgment, and experience. To be eligible to participate in this annual bonus pool, an employee must be hired by no later than October 1st of the preceding year. Annual bonuses and merit increases may be prorated based on hire date. Employees eligible for target-based periodic bonuses are not eligible to participate in the annual bonus pool. Options or Other Equity in Inspire11 Inspire11 has a legacy program that allowed certain high-performing employees to purchase shares of the Company through an affiliate. The Company also has a newer program that grants options annually to high-performing employees based on their performance reviews, their managers' recommendation, and leadership approval. These options have a vesting period associated with them. Benefits Full-time employees are eligible for the following contributory benefits, where premiums are partially paid by the Company and partially by the employee: Medical insurance plans, Dental insurance plans, and Vision insurance plans. Full-time employees are eligible for the following benefits provided wholly by the Company: Short-term disability, providing for a benefit of 60% of an employee's salary up to a maximum of $2,000 per week for up to 11 weeks after a 7-day waiting period; Long-term disability, providing for 60% of an employee's salary up to a maximum of $10,000 per month for the time period from the 91st day after a qualifying event through the earlier of the end of the disability or age 67; Life insurance, providing for a benefit of two times the employee's annual salary, up to a maximum payout of $400,000; A connectivity stipend of $25 per month; Employee Assistance Program, providing for confidential counseling sessions, 24-hour crisis support, online peer support groups, skills training, behavioral health coaching, initial free legal consultations (and discounted rates on referred lawyers), online legal forms, assistance with eldercare and parenting services, among other things. Full-time employees are also eligible to participate in the Company's 401(k) plan, which allows employees to contribute to a standard or Roth IRA. According to a vesting schedule, the Company matches 100% of employee contributions on the first 3% of an employee's salary and 50% of employee contributions from 3% to 5% of an employee's salary. Depending on eligibility and their elections, full-time employees may also have access to certain tax-advantaged savings accounts set up through the Company, into which employees contribute withheld funds: Flexible savings accounts, Limited-purpose flexible savings accounts, Healthcare savings accounts, Dependent care savings accounts, Commuter benefit accounts. Paid Time Off and Leave Inspire11 grants all eligible employees any statutory leave required by federal, Illinois, or other applicable law, such as FMLA, bereavement, sick leave, emergency leave, jury duty or witness leave, and VESSA leave. In addition, Inspire11 has a self-managed paid time off policy (PTO) that does not set predetermined upper limits on the amount of PTO an employee may take. All PTO must be requested in advance and approved by the appropriate supervisor to ensure client work can continue. All full-time employees are expected to take a minimum of one week of PTO each year. The Company also gives paid parental leave to full-time employees who have worked for Inspire11 for a year prior to taking leave, including up to 12 weeks of paid parental leave to birth parents and up to 6 weeks of paid parental leave to non-birthing parents. This paid leave can be taken within the first 6 months after the child's arrival and is in addition to short-term disability leave (for eligible parents). Lastly, Inspire11 has eight paid holidays. Other Benefits Inspire11 also maintains other programs that provide additional benefits to employees, such as: Impact to 11: a charitable giving matching program where, after being employed by Inspire11 for a year, employees may request that a qualifying charity receive up to $500 in matching donations each year. Professional development benefits for qualifying employees: a program allowing for reimbursement of certain course materials and costs on a discretionary basis for employees who have been at Inspire11 for at least 6 months, with supervisor's approval. Regular gifts of Inspire11 clothes, office items, and swag. Disclaimer This document applies only to the United States and to Inspire11 LLC, not our worldwide partners. Inspire11 reserves the right to change the benefits offered to employees in accordance with applicable law based on business needs, market conditions, and financial stability. Before changing any benefits, Company will notify all employees of the change and will update this document. EEOC Inspire11 is an Equal Opportunity Workplace and an Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status.

With a history that dates back over 80 years, Starcom is a global communications planning and media leader. We are an agency still grounded in our founding principle that people are at center of all we do. Each day, we apply this belief to harness the transformative power of data and technology to inspire and move people and business forward. With more than 7,000 employees in over 100 offices around the world, Starcom partners with the world's leading marketers and brands, including Bank of America, Best Buy, Kellogg Company, McDonald's, Novartis, Samsung, Visa and more. Overview Employer: Starcom Worldwide, Inc. Job Title: Data Scientist Job Requisition: 6630.5130.7 Job Location: 205 Hamilton Row, 3rd Floor, Birmingham, MI 48009. Required to work from Company Office (Birmingham, MI) certain days per week. Telecommuting allowed for balance of week. Job Type: Full Time Responsibilities Duties: Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software. Deliver analytic solutions across a wide variety of client applications and build inferential and predictive models, including machine learning algorithms. Involved in processing, integrating and manipulating big data with distributed systems and customer data pipelines; to synthesize results and translate findings into compelling stories that resonate with clients. Translate marketing and business questions into data queries. Use distributed computing systems to access and manipulate big data sources. Conduct exploratory analysis to identify relevant insights and useful transformations. Apply quantitative techniques to uncover latent patterns in the data. Interpretate data, analytical results and visuals to generate conclusions and recommendations. Ensure that analytic tasks and results meet established objectives and timelines. Share knowledge and research to advance the collective knowledge and skills of our Data Science practice. Keep a detailed record of the data sources, methodologies, model development processes and create necessary documentation for models and analysis performed. Build predictive models based on the historic sales data of customers and fine-tune the models to improve the performance. Qualifications Requirements: Employer will accept a Master's degree in Analytics, Engineering or a related field and one year of experience in the job offered or one year of experience in any occupation in which the required experience was gained. Position also requires one year of experience in each of the following: * Utilize R, Python and Pyspark to construct predictive models employing diverse statistical and machine learning methods as well as for techniques like time series forecasting to predict upcoming sales figures. * Engage in media mix utilizing R to aid the business in comprehending the impact of their media investment on sales. * Produce numerous analytical reports using Tableau to create data visualization and convey intricate information in a comprehensible manner. * Employ various clustering techniques such as K-means and KNN to tailor marketing campaigns to enhance sales growth. * Conduct customer segmentation within big data platforms with Databricks and Qubole. * Apply color-coding based on the standard deviation values of each segment utilizing MS Excel macros (VBA) to enhance the comprehension of the segmentation. Required to work from Company Office (Birmingham, MI) certain days per week. Telecommuting allowed for balance of week. Additional information Compensation Range: $87,210.00 - $119,300.00 annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 06/02/2025. #LI-KS3

This role is based remotely but if you live within a 50-mile radius of an office [Atlanta, Austin, Detroit, Warren, Milford or Mountain View], you are expected to report to that location three times a week, at minimum. **The Role** The Marketing Applied Sciences team is responsible for developing analytics-driven solutions to help GM Marketing Organizations achieve their business goals. The Staff Data Engineer role is responsible for designing, developing and maintaining data pipelines, databases and data infrastructure to enable the efficient data collection, storage and analysis in support of marketing strategies. This role requires collaboration with data scientists, data infrastructure architects and data consumption stakeholders to ensure the availability of high-quality data for insights and decision making is available and will deliver value to the GM strategic vision for the future and meet prioritized business needs. This role drives to deliver innovative solutions with technical fidelity and thrives to work effectively across a cross-functional data and stakeholder ecosystem. **What You'll Do** + Design, construct, install and maintain data architectures, including database and large-scale processing systems. + Develop and maintain ETL (Extract, Transform, Load) processes to collect, cleanse and transform data from various sources inclusive of cloud. + Design and implement data pipelines to collect, process and transfer data from various sources to storage systems (data warehouses, data lakes, etc) + Implement security measures to protect sensitive data and ensure compliance with data privacy regulations. + Build data solutions that ensure data quality, integrity and security through data validation, monitoring, and compliance with data governance policies + Administer and optimize databases for performance and scalability + Maintain Master Data, Metadata, Data Management Repositories, Logical Data Models, and Data Standards + Troubleshoot and resolve data-related issues affecting data quality fidelity + Document data architectures, processes and best practices for knowledge sharing across the GM data engineering community + Participate in the evaluation and selection of data related tools and technologies + Collaborate across other engineering functions within EDAI, Marketing Technology, and Software & Services **Your Skills & Abilities (Required Qualifications)** + 7+ years of hands-on experience. + Bachelor's degree (or equivalent work experience) in Computer Science, Data Science, Software Engineering, or a related field. + Strong understanding and ability to provide mentorship in the areas of data ETL processes and tools for designing and managing data pipelines + Proficient with big data frameworks and tools like Apache Hadoop, Apache Spark, or Apache Kafka for processing and analyzing large datasets. + Hands on experience with data serialization formats like JSON, Parquet and XML + Consistently models and leads in best practices and optimization for scripting skills in languages like Python, Java, Scala, etc for automation and data processing. + Proficient with database administration and performance tuning for databases like MySQL, PostgresSQL or NoSQL databases + Proficient with containerization (e.g., Docker) and orchestration platforms (e.g., Kubernetes) for managing data applications. + Experience with cloud platforms and data services for data storage and processing + Consistently designs solutions and build data solutions that are highly automated, performant, with quality checks that provide data consistency and accuracy outcomes + Experienced at actively managing large-scale data engineering projects, including planning, resource allocation, risk management, and ensuring successful project delivery and adjust style for all delivery methods (ie: Waterfall, Agile, POD, etc) + Understands data governance principles, data privacy regulations, and experience implementing security measures to protect data + Able to integrate data engineering pipelines with machine learning models and platforms + Strong problem-solving skills to identify and resolve complex data engineering issues efficiently. + Ability to work effectively in cross-functional teams, collaborate with data scientists, analysts, and stakeholders to deliver data solutions. + Ability to lead and mentor junior data engineers, providing guidance and support in complex data engineering projects. + Influential communication skills to effectively convey technical concepts to non-technical stakeholders and document data engineering processes. + Models a mindset of continuous learning, staying updated with the latest advancements in data engineering technologies, and a drive for innovation. **PREFERRED QUALIFICATIONS:** + Master's Degree or Ph.D. in Computer Science, Engineering, Marketing Science, Econometrics, Statistics, Psychometrics, (Bio) Statistics, Applied Mathematics, Operations Research, or another quantitative field. **Additional Job Description** This job is not eligible for relocation benefits. Any relocation costs would be the responsibility of the selected candidate. Company Vehicle: Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies. Compensation: + The expected base compensation for this role is: $117,800 - $194,300. Actual base compensation within the identified range will vary based on factors relevant to the position. + **Bonus Potential:** An incentive pay program offers payouts based on company performance, job level, and individual performance. + **Benefits** : GM offers a variety of health and wellbeing benefit programs. Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. GM DOES NOT PROVIDE IMMIGRATION-RELATED SPONSORSHIP FOR THIS ROLE. DO NOT APPLY FOR THIS ROLE IF YOU WILL NEED GM IMMIGRATION SPONSORSHIP (e.g., H-1B, TN, STEM OPT, etc.) NOW OR IN THE FUTURE. \#LI-CC1 **About GM** Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all. **Why Join Us** We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Our Work Appropriately philosophy supports our foundation of inclusion and provides employees the flexibility to work where they can have the greatest impact on achieving our goals, dependent on role needs. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team. **Benefits Overview** The goal of the General Motors total rewards program is to support the health and well-being of you and your family. Our comprehensive compensation plan incudes, the following benefits, in addition to many others: - Paid time off including vacation days, holidays, and parental leave for mothers, fathers and adoptive parents; - Healthcare (including a triple tax advantaged health savings account and wellness incentive), dental, vision and life insurance plans to cover you and your family; - Company and matching contributions to 401K savings plan to help you save for retirement; - Global recognition program for peers and leaders to recognize and be recognized for results and behaviors that reflect our company values; - Tuition assistance and student loan refinancing; - Discount on GM vehicles for you, your family and friends. **Diversity Information** General Motors is committed to being a workplace that is not only free of discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We understand and embrace the variety through which people gain experiences whether through professional, personal, educational, or volunteer opportunities. GM is proud to be an equal opportunity employer. We encourage interested candidates to review the key responsibilities and qualifications and apply for any positions that match your skills and capabilities. **Equal Employment Opportunity Statements** GM is an equal opportunity employer and complies with all applicable federal, state, and local fair employment practices laws. GM is committed to providing a work environment free from unlawful discrimination and advancing equal employment opportunities for all qualified individuals. As part of this commitment, all practices and decisions relating to terms and conditions of employment, including, but not limited to, recruiting, hiring, training, promotion, discipline, compensation, benefits, and termination of employment are made without regard to an individual's protected characteristics. For purposes of this policy, "protected characteristics" include an individual's actual or perceived race, color, creed, religion, national origin, ancestry, citizenship status, age, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression, sexual orientation, weight, height, marital status, military service and veteran status, physical or mental disability, protected medical condition as defined by applicable state or local law, genetic information, or any other characteristic protected by applicable federal, state or local laws and ordinances. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com or call us at ************. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying. We are leading the change to make our world better, safer and more equitable for all through our actions and how we behave. Learn more about: **Our Company (************************************************** **Our Culture** **How we hire (************************************************ Our diverse team of employees bring their collective passion for engineering, technology and design to deliver on our vision of a world with Zero Crashes, Zero Emissions and Zero Congestion. We are looking for adventure-seekers and imaginative thought leaders to help us transform mobility. **Explore our global location** **s** The policy of General Motors is to extend opportunities to qualified applicants and employees on an equal basis regardless of an individual's age, race, color, sex, religion, national origin, disability, sexual orientation, gender identity/expression or veteran status. Additionally, General Motors is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us at Careers.Accommodations@GM.com .In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

360 IT Professionals is a Software Development Company based in Fremont, California that offers complete technology services in Mobile development, Web development, Cloud computing and IT staffing. Merging Information Technology skills in all its services and operations, the company caters to its globally positioned clients by providing dynamic feasible IT solutions. 360 IT Professionals work along with its clients to deliver high-performance results, based exclusively on the one of a kind requirement. Our services are vast and we produce software and web products. We specialize in Mobile development, i.e. iPhone and Android apps. We use Objective C and Swift programming languages to create native applications for iPhone, whereas we use Android Code to develop native applications for Android devices. To create applications that work on cross-platforms, we use a number of frameworks such as Titanium, PhoneGap and JQuery mobile. Furthermore, we build web products and offer services such as web designing, layouts, responsive designing, graphic designing, web application development using frameworks based on model view controller architecture and content management system. Our services also extend to the domain of Cloud Computing, where we provide Salesforce CRM to effectively manage one's business and ease out all the operations by giving an easy platform. Apart from this, we also provide IT Staffing services that can help your organization to a great extent as you can hire highly skilled personnel's through us. We make sure that we deliver performance driven products that are optimally developed as per your organization's needs. Take a shot at us for your IT requirements and experience a radical change. Job Description Position: ETL Architect Location: Southfield, MI Duration: Contract to hire Need candidates on W2 only 15-17 yrs. Experience · This person will lead teams and work with management and executives · Must have excellent communication · This person is not hands on but must be able to speak to and understand how things work (Healthcare) · Must have 3-4 yrs. as an architect and be able to show their career progression · Cognos and Business Objects are nice to have The Informatica ETL Architect has the overall responsibility for assessing requirements and defining the strategy, technical architecture, implementation plan and delivery of data warehouse projects. The Informatica ETL Architect must have prior experience completing successful data warehousing implementations as well as broad background and experience with IT application development. This individual is responsible for establishing the long term strategy and technical architecture as well as the short term scope for a multi-phased data warehouse effort and should have strong professional consulting skills and the ability to communicate well at all levels of the organization. Top Skill Set:• Lead ETL architecture and design as well as data flow diagramming• Define and implement ETL development standards & procedures• Ensure ETL quality through code reviews and throughout inspection & knowledge sharing• At least 12 years experience with Informatica in a Developer/Tech Lead role• Knowledge of Health Care Insurance Payer Data Warehousing Preferred• Ability to develop a technical work plan and assign work and coordinate across multiple developers and projects. Required Skills/Experience• 12 to 16 Years of Informatica ETL development experience• At least 4 years experience as Informatica ETL Architect• At least 8-10 years experience with Informatica in a Developer/Tech Lead role• Mastery in data warehousing concepts. Candidate should be able to clearly communicate fundamental concepts during the interview and demonstrate previous experience in all aspects.• MUST HAVE strong SQL skills in Oracle Partitioned Environment• Experience in Business Intelligence reporting tools like Cognos and Business Objects preferred• Experience in Oracle database programming using Partitioning, Materialized View and OLAP• Experience in tuning Oracle queries/processes and performance management tools TOOLS & TECHNOLOGIES Informatica 8.x and above (9.1 Preferred) PowerCenter PowerExchange Data Quality Oracle 10g and above Unix Shell Scripting (AIX, Linux) Scheduling Tools (any one of Tivoli, Autosys and Ctrl-M) SQL Additional Information Regards, Vishal Rana Talent & Client Acquisition Specialist Phone: 510 254 3300 Ext 178 |

Who We Are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. Who we are looking for: VML is seeking an Associate Director, Senior Data Engineer to provide the technical expertise to translate data sources into actionable outputs as part of marketing solutions. This includes user interfaces, data loading, database design, marketing business rule analysis, program generation, and execution. Process flow diagrams and quality control checks will aid in program clarity and successful execution. This role is responsible for the design and development of systems to support client-marketing processes and internal VML systems. The Senior Data Engineer is responsible for analyzing current processes and recommending simplifications and enhancements to improve accuracy, delivery time, and cost. What you'll do: * Analyze business processes to refine and automate them. * Design and develop systems and relational databases to support client projects and internal systems. * Perform / supervise data hygiene procedures. * Create and pull a wide range of reports from the local and remote data-access tools. * Design and implement quality control procedures. * Manage data resources to support client and internal work. * Estimate effort required to develop specified systems. * Assist in other data and analytics work as necessary. * Maintain and support all company standards as specified within the Quality Management System. * May include other duties as assigned. Who you are: The Senior Data Engineer is required to be knowledgeable in Microsoft SQL Server, T-SQL, Power BI, Tabular Data Models, C#, SSIS, and Microsoft Azure. What you'll need: * Medium to large-scale application development experience required. * Relational database design experience including use of entity relationship diagrams. * Working knowledge of data-interface protocols. * Microsoft SQL Server, SSIS, SSAS, Power BI, C#, Python, Powershell. * Previous Work Experience * 3-5 years of experience with SQL Server with sound SQL knowledge. * 2-3 years of experience with SSIS and SSAS. * 2-3 years of experience with C# * 1-2 years of experience with Power BI * Experience Preferred * Snowflake * Web Application development What we offer (All NA roles not Canada): * Passionate, driven people | We champion a culture of people that do extraordinary work. * Consciously cultivated culture | We aim to embody the behaviors to build an inclusive community that is in it together, bringing both positivity and active listening into the workplace as we simultaneously strive to empower creative bravery. * Competitive benefits | What we offer full time hires ranges from the full spectrum of group health coverage options (medical, dental, vision) to a generous 401k match (100% dollar-for-dollar match, up to 5% of salary contribution), and a variety of paid time off offerings that reflect our investment in all aspects of your overall life balance and wellness. * Growth-minded opportunities | We aim to nurture a culture of real-time feedback, growth-oriented mindset, and plenty of training opportunities through VML and WPP, so you can continue to grow personally and professionally. VML is an equal opportunity employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability, or other protected group status. We believe in creating a dynamic work environment that values diversity and inclusion and strives to recruit a diverse slate of candidates to help us achieve that goal. The base salary range for this position at the time of this posting is indicated below. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications. We offer a competitive benefits package, click WPP Benefits for more details. _ $75,000-$180,000 USD We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. VML is a WPP Agency. For more information, please visit our website, and follow VML on our social channels via Instagram, LinkedIn, and X. When you click "Submit Application", this will send any information you add below to VML. Before you do this, we think it's a good idea to read through our Recruitment Privacy Policy. California residents should read our California Recruitment Privacy Notice. This explains what we do with your personal data when you apply for a role with us, and, how you can update the information you have provided us with or how to remove it.

Please, review and apply for this position through the QCI system following the link below (Copy and Paste): http://tinyurl.com/nzn6msu *You can apply through Indeed using mobile devices with this link. Job Description The Data Scientist at will delve into the recesses of large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about our business and develop methods to leverage that knowledge within our line of business. The successful candidate will combine strengths in mathematics and applied statics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.You must have USA/Canadian Citizenship or your Green Card/EAD. Responsibilities Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment. Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques. Drive the collection of new data and the refinement of existing data sources. Analyze and interpret the results of product experiments. Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses. Requirements M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or 3+ years experience in a relevant role. Extensive experience solving analytics problems using quantitative approaches. A proven passion for generating insights from data. Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics. Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources. Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner. Fluency with at least one scripting language such as Python, Java, or C/C++. Familiarity with relational databases and SQL. Additional Information All your information will be kept confidential according to EEO guidelines.

We are seeking a talented and motivated Data Scientist to provide technical expertise and support for Predictive Maintenance (PdM) Technologies for Combat Vehicles. The ideal candidate will have a strong background in data analysis, machine learning, and statistical modeling. You will work closely with cross-functional teams to uncover insights from data and help drive data-driven decision-making. Key Responsibilities Develop and implement machine learning-based models and algorithms to predict vehicle components failure and maintenance needs, collecting and analyzing data from various vehicle sensors and systems. Perform statistical analysis and hypothesis testing. Collaborate with stakeholders to understand business needs and translate them into data requirements. Create data visualizations and dashboards to communicate findings to non-technical audiences. Collaborate with stakeholders to ensure effective implementation of predictive maintenance models. Continuously monitor and improve the performance of existing models. Continuously improve predictive maintenance processes and technologies through research and innovation and stay up-to-date with the latest industry trends and technologies and best practices. Technical skills Solid knowledge and proven experience with Statistical Analysis, Data Mining, Pattern Recognition, Machine Learning, Deep Learning, Classification, and Clustering, Experience with data manipulation and analysis using libraries such as Pandas, NumPy, and Scikit-learn. Solid knowledge and proven experience with complex SQL scripting, queries, and database normalization methods for data extraction and manipulation. Experience with data visualization tools such as Tableau, Power BI, or Matplotlib. Knowledge of machine learning frameworks (e.g., TensorFlow, Keras, PyTorch). Experience with big data technologies such as Hadoop, Spark, or Hive. Knowledge of Reliability Testing, Risk Analysis: Failure Modes and Effects Analysis (FMEA) Good programming skills in Python, MATLAB, and C/C++. Knowledge of communication protocols (e.g., CAN, Ethernet). Soft skills Strong problem-solving and analytical skills. Strong verbal written communication, and presentation skills Ability to work well in a team environment and collaborate with various stakeholders. Problem solving and analytical skills to identify issues, troubleshooting problems and find solutions. Time management - ability to prioritize tasks and manage time efficiently. Education Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field. Minimum of 5 years of experience as a Data Scientist or in a similar role.

Insight Global is looking for Data Scientists to join the team of one of its leading Life Insurance customers in Metro Detroit. You will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sage maker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance. · Specific Responsibilities: Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models. Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. Forecast campaign results based on models built and validate forecast against actuals. Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building Proactively identify opportunities for model improvement and need for additional modeling projects. Maintain clear and organized documentation of data, methodologies, and results. Implement automation in existing processes to improve overall efficiency. Perform ad hoc analysis to support Marketing Distribution efforts Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Compensation: 115k-187k. Exact compensation may vary based on several factors, including skills, experience, and education. Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to ******************** . The EEOC "Know Your Rights" Poster is available here (*********************************************************************************************** . To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: *************************************************** . Skills and Requirements - Recent master's degree in either Statistics, Data Science, etc. - Minimum 5+ years in Business Analytics Extensive experience Agentic AI and ML learning Solid background in statistical analysis & predictive modeling § Expertise in modeling algorithms Strong Python & SQL coding skills AWS monitoring/deployment cloud platform experience Hands-on experience with AWS services like S3, Lambda, and SageMaker. Experience with Data Engineering orchestration tools Expertise in Power BI reporting/visualizations Outstanding people skills Attitude, motivation, communication skills · Apache Airflow experience · Insurance industry experience Marketing/marketing analytics domain experience null We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to ********************.

Team Culture Great things happen when people can bring their authentic selves to work. We empower all of our employees to share their perspectives, passions and experiences because collectively we make a better, stronger team. Our team members collaborate closely with peers & cross functional stakeholders throughout the business, our clients on the forefront of digital transformation, and the cutting edge of digital manufacturing thought leadership. We take pride in our self-starter culture where employees are enabled and encouraged to achieve their professional goals through leadership guidance, learning and development. Our philosophy is that careers are continuous journeys, and we dedicate time and offer resources so that employees can reach their full potential. Benefits + Perks We value you at and outside of work and know your loved ones are important. Our benefits are designed to support you and your family's health through life's expected and unexpected events. Our Benefits Include: * Competitive Salary + Stock Options * Health Care Coverage + Life Insurance + Health Savings Account + Flexible Spending * Account (includes spouse + children) * Flexible Vacation Policy * Adaptable Working Schedule and Environment * Our Perks Include: * Casual Dress Attire * Hybrid work flexibility * Catered Lunches, Snacks and Beverages * Commuter Savings Program * Company Outings * Designated Volunteering Hours + Group Volunteer Events Sight Machine is proud to be an equal opportunity employer and considers candidates regardless of age, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. Sight Machine also considers qualified applicants regardless of criminal histories, consistent with legal requirements. About Sight Machine, Inc. Sight Machine strengthens manufacturers by providing the industry's only standard data model and system-level visualization capabilities. By integrating all crucial data into a single innovative platform, everyone involved in the fabrication process can visualize, contextualize and examine data in one intuitive interface. Sight Machine is committed and mission-driven to improve lives, strengthen communities and make the world cleaner through continuously re-envisioning manufacturing processes - making them more efficient, sustainable and absolute. Founded in Michigan in 2011 and expanded to San Francisco in 2012, Sight Machine blends the spirit of technology innovation and the down to earth style of Detroit manufacturing. Our team includes early leadership from Yahoo, Tesla Motors and Oracle. Together, we share wide industry knowledge and a commitment to advance manufacturing to a more sustainable future. At Sight Machine, you will work with manufacturing leaders in the automotive, medical device, apparel, construction, and pharmaceutical industries. You will have access to, and work with massive amounts of factory floor data to help uncover insights on how customers make products and develop solutions to pressing business problems. The platform solves problems like Extract Transform Load (ETL), information retrieval, data aggregation and analytics, factory automation, distributed computing, and security. We place great value on professional, technical, and personal growth in an inclusive, collaborative environment. The ideal candidate will have a passion for technology and a strong can-do attitude. About the Data Scientist Role As a Data Scientist, you will sift through massive amounts of factory floor data to uncover insights into how customers make products and develop solutions to pressing business problems for some of the world's most iconic manufacturers and technology providers, including industry leaders like Microsoft, Siemens, and Databricks. If you are interested in complex solution-finding, strong communication skills, and ever-deepening subject matter expertise in manufacturing, AI/ML, and cutting-edge technologies, please apply for this position. You will drive sustainability and game-changing results for global leaders in manufacturing and continuously develop your skills as a pioneer in the Data Era. Why Join Sight Machine's Services Team Our team is a hungry, humble, smart group of data architects, data scientists, data engineers, software developers, and customer engagement managers who work collaboratively to solve some of the most complex challenges facing our manufacturing customers. We are laser-focused on trusting and empowering each other, working to solve today's problems (while knowing tomorrow will bring a few more), and getting a little better every day. What You'll Do * Consult with customers to clarify business problems and understand requirements and shape solution design. * Perform analysis and modeling, selecting and wrangling appropriate data, develop visualizations and applications, and use storytelling to communicate your results. * Generalize specific customer solutions to develop future product additions in the Sight Machine platform. * Collaborate with engineering and product teams to add new features and contribute to the development of our data platform * Train customers on how to get the most out of their analytics * Support our sales teams during customer calls and provide the data science "point of view" on how we help customers gain insights from their factory floor data. * Perform exploratory research on the latest methodologies in data science and predictive analytics, ranging from researching which algorithms may be useful to apply to manufacturing analytics to diving into the latest research on big data architectures This position requires up to 20% domestic and international travel to client business and factory sites to meet with clients, drive conversations on data science and AI/ML, and participate in onsite strategy sessions. The frequency of travel will vary based on the client.

Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner; excited to gain exposure and build skillsets across a range of technologies while solving some of our clients' toughest challenges. CGS brings motivated, highly skilled, and creative people together to solve the government's most dynamic problems with cutting-edge technology. To carry out our mission, we are seeking candidates who are excited to contribute to government innovation, appreciate collaboration, and can anticipate the needs of others. Here at CGS, we offer an environment in which our employees feel supported, and we encourage professional growth through various learning opportunities. Skills and attributes for success: * Complete development efforts across data pipeline to store, manage, store, and provision to data consumers. * Being an active and collaborating member of an Agile/Scrum team and following all Agile/Scrum best practices. * Write code to ensure the performance and reliability of data extraction and processing. * Support continuous process automation for data ingest. * Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing. * Work with program management and engineers to implement and document complex and evolving requirements. * Help cultivate an environment that promotes customer service excellence, innovation, collaboration, and teamwork. * Collaborate with others as part of a cross-functional team that includes user experience researchers and designers, product managers, engineers, and other functional specialists. Qualifications: * Must be a US Citizen. * Must be able to obtain a Public Trust Clearance. * 7+ years of IT experience including experience in design, management, and solutioning of large, complex data sets and models. * Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. * Proficiency in developing ETL processes, and performing test and validation steps. * Proficiency to manipulate data (Python, R, SQL, SAS). * Strong knowledge of big data analysis and storage tools and technologies. * Strong understanding of the agile principles and ability to apply them. * Strong understanding of the CI/CD pipelines and ability to apply them. * Experience with relational database, such as, PostgreSQL. * Work comfortably in version control systems, such as, Git Repositories. Ideally, you will also have: * Experience creating and consuming APIs. * Experience with DHS and knowledge of DHS standards a plus. * Candidates will be given special consideration for extensive experience with Python. * Ability to develop visualizations utilizing Tableau or PowerBI. * Experience in developing Shell scripts on Linux. * Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. * Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment: Contact Government Services (CGS) strives to simplify and enhance government bureaucracy through the optimization of human, technical, and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our client's specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years, we've been growing our government-contracting portfolio, and along the way, we've created valuable partnerships by demonstrating a commitment to honesty, professionalism, and quality work. Here at CGS we value honesty through hard work and self-awareness, professionalism in all we do, and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore, we offer a comprehensive benefits package: * Health, Dental, and Vision * Life Insurance * 401k * Flexible Spending Account (Health, Dependent Care, and Commuter) * Paid Time Off and Observance of State/Federal Holidays Contact Government Services, LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Join our team and become part of government innovation! Explore additional job opportunities with CGS on our Job Board: ************************************* For more information about CGS please visit: ************************** or contact: Email: ******************* $112,597.33 - $152,810.66 a year

ABOUT ROCKET LOANS 🔮 Rocket Loans delivers personal loans to clients, helping them achieve financial freedom and reach personal milestones today, including home renovation, debt consolidation, weddings, family planning, dream travel and more. ABOUT THE ROLE 🤹 As a Data Engineer at Rocket Loans, you'll engage in the design, development and maintenance of data platforms and solutions, including applying data management principles to pipelines and delivering analytical and operational solutions to provide visibility and enable decision-making. You'll develop data integration solutions and work with cross-functional teams to build products and services to meet business needs. Identify, investigate and solve data quality issues and ensure data is secure and reliable Develop Extract, Load, Transform (ELT) processes from various data repositories and APIs across the enterprise, ensuring data quality and process efficiency Develop data processing scripts Work in a hybrid data environment with on-premises and cloud data warehouses Develop relational and non-relational data models to shape data to meet user needs Monitor performance and scalability issues in a large-scale data lake environment ABOUT YOU 🦄 5 years of experience or equivalent competency building data solutions, including relational and non-relational databases, and supporting implementation and maintenance of batch and real-time data pipelines using cloud services 3 years of experience or equivalent competency analyzing data to identify deliverables, gaps and inconsistencies Expertise writing simple and complex queries (SQL/NoSQL) Expertise debugging and troubleshooting applications Proficiency in a functional or object-oriented programming language Preferred: Degree or equivalent competency in computer science, information technology, or a related field 3 years of experience with big data and distributed data tools, such as Python and Lambda 3 years of experience with continuous integration and continuous delivery (CI/CD) and automated deployments Knowledge of Linux system administration, shell scripting and basic networking skills Experience accessing and developing REST APIs WE OFFER💫 Health, Dental & Vision Plans Life Insurance Long/Short Term Disability Competitive Pay 401k Matching Team Member Stock Purchasing Program (TMSPP) Learning & Development Opportunities Tuition Reimbursement Paid Time Off Additional information: Salary range of $113,000 - $150,500/year + bonus + benefits. Base pay offered may vary depending on job-related knowledge, skills, and experience. Rocket Money is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Why join? Join us in revolutionizing an entire industry's customer engagement. We prioritize human connection through technology. If you're driven by purpose and want to make a meaningful impact on people's lives, this is the place for you. Our team challenges norms with the support of a trusted American brand. Purpose: A leading professional services firm found that AAA Life associates demonstrate some of the highest levels of commitment, empathy, and dedication when compared to top U.S. companies in a benchmark analysis. Growth: We have the privilege to offer our products to tens of millions of Americans that make up the AAA member base Focus is on “working families”, “everyday Americans”, “ordinary citizens”, “mainstream population” “average income households”, providing life insurance products that truly impact people's lives (more information will be provided in the interview). Team (Culture): USA Today named us a 2024 and 2025 top US workplace Who are we looking for? As a Data Scientist - Modeling and Analytics, you will be responsible for creating statistical models and performing analyses that drive sales and policy growth for the organization. You will partner with marketing team members, marketing managers, and other data analysts and scientists to identify business needs, gather data, build, and maintain effective models, and assess model performance over time. This role requires proficiency in SQL for data manipulation, Sagemaker or other AI/ML tools for model building, R or Python for data analysis, and a visualization tool such as PowerBI for quickly assessing model performance. Responsibilities How will you contribute? Build, maintain, and automate models to predict purchase propensity, policy premium, policy lapse/retention, cross-selling, upselling, next best action, and other consumer behaviors using both internal data, census data, appended aggregated data, and macroeconomic data. Recommend marketing distribution strategies leveraging data and models. Conduct advanced exploratory data analysis. Perform model interpretability and explainability analysis. Leverage specific metrics for model performance evaluation (e.g., precision, recall, F1 score). Implement A/B testing and experimental design and quantitative benchmarks for model improvement Apply data privacy and compliance rules under regulations like GDPR, CCPA. Apply ethical AI principles. Apply model fairness and bias mitigation techniques. Conduct analyses to assess model performance and campaign performance, both against test datasets and actual results once deployed. Forecast campaign results based on models built and validate forecast against actuals. Work with marketing data architects and engineers to ensure data is clean, complete, correct, and suitable for modeling using AI/ML platforms. Develop and maintain data pipelines. Implement feature engineering techniques. Find, recommend, and purchase additional data to use in model building Proactively identify opportunities for model improvement and need for additional modeling projects. Maintain clear and organized documentation of data, methodologies, and results. Implement automation in existing processes to improve overall efficiency. Perform ad hoc analysis to support Marketing Distribution efforts Actively seek out innovation and optimization use cases and experiments that will result in organizational transformation and sales and profit improvements. Qualifications What do you offer? Master's degree in Statistics, Economics, Mathematics, Data Science, or related field. Experienced in marketing analytics or customer behavior modeling. 5 to 7 years of experience in data science, including hands-on experience with Machine Learning (e.g., scikit-learn, TensorFlow, PyTorch, DataRobot, Databricks) and Generative Artificial Intelligence. Experience with automated model deployment and monitoring tools. Possess outstanding analytical, modeling, problem-solving, and critical-thinking skills. Experienced with cloud platforms such as AWS, Azure, and Google Cloud. Familiar with big data technologies (Spark, Hadoop) Strong knowledge of machine learning algorithms and their applications in automated systems. Experience with advanced modeling techniques like ensemble methods, time series analysis, and probabilistic modeling High proficiency in Python or R for statistical analysis, model development, and process automation. Proficient+ with SQL for data extraction and manipulation. Proficiency with data visualization tools (Power BI, Tableau, or similar) and their automation capabilities Skilled in cross-functional collaboration, agile methodologies, project management and stakeholder communication. Advanced training or academic focus in non-parametric statistics, resampling methods, or Bayesian approaches for small sample inference Experience applying sequential testing or multi-armed bandit approaches to maximize insights from limited samples in marketing contexts Able to effectively communicate and translate complex, technical finding in a candid, clear, concise, and non-technical fashion to all audiences Maintain perspective between the big picture and the tactical details. Remains aligned with the organization's strategic plan. Stellar attention to detail, including maintaining accuracy and consistency across a suite of data science assets, keeping documentation up to date, and proactively identifying and addressing any quality concerns. Self-starter with the ability to identify priorities and focus on items with high business impact. Ability to present complex analytical findings with persuasiveness and succinctness What can we offer? Enjoy a hybrid work environment that promotes work-life balance. Comprehensive medical, dental, and vision coverage starting from your first day. Employer 401k match and employer contribution to a pension plan. Generous PTO and paid parental leave to support your family needs. Opportunities for associate engagement in various social programs and community involvement initiatives backed by the company.

Here at Scout Motors, we're carrying forward the heritage of one of the most iconic American vehicles in history. A vehicle dating back to 1960. One that forged the path for future generations of rugged SUVs and will do so once again. But Scout is more than just a brand, it's a legacy steeped in a culture of exploration, caretaking, and hard work. The Scout brand is all about respect. Respect for the environment by developing electric vehicles with the capability to get you to any location. Respect for the past and the future by taking an iconic American brand that hasn't been around for a while, electrifying it, digitizing it, and loading it with American innovation. Respect for communities by creating a company that stands for its people and its customers. And respect for both work and play, with vehicles that are equally at home at a camp site, a job site, or on a Tuesday commute. At Scout Motors, we empower our talented, inclusive, and entrepreneurial teams to innovate. What makes a Scout employee? Someone who is a visionary and a leader, who seeks new paths and shares lessons learned. A knowledgeable doer who collaborates across the company to build better. A go-getter with unrivaled passion. Join us at Scout Motors and be part of shaping the future of transportation. If you're ready to drive change and make history, apply now! What you'll do Become part of an iconic brand that is set to revolutionize the electric pick-up truck & rugged SUV marketplace by achieving the following: * Identify quality-related big data use cases with high potential impact in terms of customer satisfaction and warranty payments. Define the data configuration needed to implement these uses cases * Conceptualize possible Machine Learning models in collaboration with Scout R&D, to develop later on data-driven solutions to solve business problems * Define requirements and develop in collaboration with Scout IT the necessary IT architecture, data warehouses and data lakes, ensuring the accessibility, consistency and quality of the data to be stored * Support, in collaboration with Scout IT, the definition of the Data Governance model, taking into consideration customer-oriented uses cases Location & Travel Expectations: * This role will be based out of the Scout Motors location in Novi, Michigan. * The responsibilities of this role require attendance in office with in-person meetings and events regularly. * Applicants should expect that the role will require the ability to convene with Scout colleagues in person and travel to participate in events on behalf of the company from time to time. What you'll bring We expect all Scout employees to have integrity, curiosity, resourcefulness, and strive to exhibit a positive attitude, as well as a growth mindset. You'll be comfortable with change and flexible in a fast-paced, high-growth environment. You'll take a collaborative approach to achieve ambitious goals. Here's what else you'll bring: * Bachelor's Degree in Computer Science, Software Engineering, Data Science, Information Technology, or related field or equivalent work experience. * 5+ years of experience in automotive engineering/ production/ organizational development and/or quality management of which 3 years of QMS (Quality Management Systems)-related responsibilities; OEM experience preferred * Strong programming skills (e.g., Python, java, SQL, C++, …) and knowledge of databases and cloud-based data storage systems * Understanding of data warehousing and ETL processes * Proven experience in the design, definition or deployment of Machine Learning models, including actionable insights as a result of them * Strong problem solving skills and capability to work in multidisciplinary environments * Experience in Big Data and Machine Learning projects in industrial environments; automotive experience preferred * Excellent project management skill * Communication skills - interpersonal, presentation and writing - across hierarchy and functional levels (i.e. Director and Vice President Level) * Ability to identify tasks, develop methodologies and plans; execute with minimal supervision and own assignments to ensure the project success * Proven ability to handle multiple assignments with competing priorities What you'll gain The benefits of joining Scout include the chance to build products and a company from the ground up. This is a chance to create something new and lasting - with an iconic brand at its foundation. In addition, Scout provides competitive compensation and benefits to support your physical, mental, and financial wellbeing. Program specifics are detailed in company policies and employee benefit guides, select highlights: * Competitive insurance including: * Medical, dental, vision and income protection plans * 401(k) program with: * An employer match and immediate vesting * Generous Paid Time Off including: * 20 days planned PTO, as accrued * 40 hours of unplanned PTO and 14 company or floating holidays, annually * Up to 16 weeks of paid parental leave for biological and adoptive parents of all genders * Paid leave for circumstances related to bereavement, jury duty, voting time, or military leave Pay Transparency This is a full-time, exempt position eligible to receive a base salary and to participate in an annual performance bonus program. Final salary offered will be determined based on factors including but not limited to the candidate's skills and experience. The annual performance bonus program is preset and not candidate dependent. Initial base salary range = $95,000.00 - $120,000.00 Internal leveling code: IC9 Notice to applicants: * Residing in San Francisco: Pursuant to the San Francisco Fair Chance Ordinance, Scout Motors will consider for employment qualified applicants with arrest and conviction records. * Residing in Los Angeles: Scout Motors will consider for employment qualified applicants with criminal histories in a manner consistent with the Los Angeles Fair Chance Initiative for Hiring Ordinance. * Residing in New York City: This role is not eligible for remote work in New York City. Equal Opportunity Scout is committed to employing a diverse workforce and is proud to be an Equal Opportunity Employer. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, disability, pregnancy, or any other characteristics protected by law. Scout is committed to compliance with all applicable fair employment practice laws. If you require reasonable accommodation to complete a job application, pre-employment testing, or a job interview or to otherwise participate in the hiring process, please contact ScoutAccommodations@scoutmotors.com.