Data Driven Vs Model Driven Jobs Remote Jobs in Usa

Build a Career That Matters with One of the World's Most Respected Employers!

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Join our team in Greenville, SC as a Market forecasting Manager, where you'll play a pivotal role in shaping business strategy through building and maintaining market forecasts using data-driven insights. This position offers the chance to influence go-to-market decisions, uncover growth opportunities, and anticipate market trends. If you thrive in a dynamic environment and enjoy transforming complex data into actionable recommendations, this is the role for you.

• Build and maintain short-term (18 months) market forecasts.
• Gather, structure, and analyze market data, including competitive intelligence and historical performance.
• Observe and analyze market information to hypothesize scenarios and guide business ambitions.
• Explain and justify market evolution, performance, and forecasts against strategic objectives.
• Recommend short- and long-term marketing corrective actions.
• Support the development of sales forecasts and quantify new business opportunities.
• Identify market threats, opportunities, and trends.
• Drive automation improvements in data collection, processing, dashboarding, and forecasting models.
• Conduct ad hoc analyses on market segments or opportunities.

• Bachelor's Degree in Statistics, Economics, Computer Science or Engineering with a great foundation in quantitative analysis, operations, and data-driven decision-making (Master's Degree preferred)
• 10 years+ of proven experience in market intelligence, data analytics, and quantitative analysis.
• Strong critical thinking with the ability to influence product and go-to-market strategies.
• Expertise in tools such as Excel, Power BI, MicroStrategy and dashboarding solutions.
• Ability to present clear, compelling stories from data to senior team members.
• Skilled in data visualization and storytelling using tools like PowerPoint and Power BI.
• Comfort in translating ambiguity into structured insights and actionable recommendations.
• High collaboration, humility, and a drive for team-based outcomes.
• Curiosity and analytical approach to uncover insights that deliver commercial impact.
• Familiarity with digital culture and automation in market tracking.

#LI-HIRINGMICHELIN #LI-JM1

Ready to Shape the Future of Innovation?

Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.

The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.

Why Michelin?

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.

• Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.

• Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.

• Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.

Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .

This position is not available for immigration sponsorship.

We build the future with people like you. Begin your career with Michelin today!

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 550 million users around the world and 300 billion ideas saved, Pinterest Machine Learning interns help build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

As a machine learning intern at Pinterest, you'll work on tackling new challenges in machine learning and artificial intelligence. You'll conduct research that can be applied across Pinterest engineering teams and engage in external collaborations and mentoring, while also performing research in any of the following areas: image recognition, user modeling, recommender systems,search, ads, ranking, natural language processing, neural networks, personalization, graph representation learning, and big data analytics.

Note to applicants:

By applying to this role, you will be considered for multiple intern roles open across our various ML teams. Please only apply once within the USA or Canada as multiple applications may delay our recruitment process.

Internships are 12 weeks paid, with fixed start dates in May or June to accommodate varying school calendars. Depending on the team, our summer internships will be located either remote or hybrid in San Francisco, Palo Alto, New York or Seattle offices.

We offer 2 internship start dates:

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• May 18, 2026 - August 7, 2026
  
• June 15, 2026 - September 4, 2026
  

What you'll do:

• 
  
• Lead your own project start to finish to contribute in cutting-edge research in machine learning and artificial intelligence that can be applied to Pinterest problems
  
• Collect, analyze, and synthesize findings from data and build intelligent data-driven models
  
• Write clean, efficient, and sustainable code
  
• Use machine learning, natural language processing, and graph analysis to solve modeling and ranking problems across discovery, ads and search
  
• Scope and independently solve moderately complex problems
  
• Demonstrate accountability for the quality and completion of your tasks and projects, collaborating with your team and seeking guidance as needed.
  

What we're looking for:

• 
  
• Working towards a PhD in Computer Science, ML, NLP, Statistics, Information Sciences or related field
  
• Proficiency in at least one systems language (Java, C++, Python) or one ML framework (Tensorflow, Pytorch, MLFlow)
  
• Experience with big data technologies (e.g., Hadoop/Spark) and scalable realtime systems that process stream data
  
• Experience in research and in solving analytical problems
  
• Strong communicator and team player with the ability to find solutions for open-ended problems.
  
• Preferred Qualifications:
  
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  • Publications in machine learning, AI, data science, data analytics, statistics, or related technical fields
    
  • Interest in research and in applying ML to impactful real-world problems on the Pinterest product
    
  
  
  

Why Intern at Pinterest?

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• Meaningful Work: Contribute to projects that impact millions of users worldwide.
  
• Mentorship: Learn from and be guided by experienced engineers and researchers in the field.
  
• Growth and Development: Participate in professional development workshops and networking events to build your skills and connections.
  

In-Office Requirement Statement:

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• We let the type of work you do guide the collaboration style. That means we're not always working in an office, but we continue to gather for key moments of collaboration and connection
  
• This role may require you to be located near an office for in-person collaboration, and therefore may need to be located a commutable distance from one of our Pinterest offices.
  
  

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

US based applicants only

The salary for this position is $12,100 monthly.

#LI-HYBRID
#LI-EB1

Our Commitment to Inclusion:

We're building safety-enhancing technology for aviation that will save lives. Automated aviation systems will enable a future where air transportation is safer, more convenient and fundamentally transformative to the way goods - and eventually people - move around the planet. We are a team of mission-driven engineers with experience across aerospace, robotics and self-driving cars working to make this future a reality.

As a Senior Software Engineer - Engineering Productivity at Reliable Robotics, you will design, and implement software to support the development, analysis, and certification of automated aircraft systems. You will work closely with product owners and end users to develop solutions that enable and optimize engineering development workflows. The software you produce will be critical to the development and certification of the first fully autonomous aircraft.

Responsibilities

In your role as an internal tool developer, you will develop applications, infrastructure, and tools used by engineering to capture product requirements and interface definitions, model the product architecture and design, and reduce and analyze flight and lab test data. You will supercharge the engineering organization's efficiency and effectiveness by streamlining tools and processes. You will work with other teams and stakeholders to establish technical and UX design requirements for these projects and own the "plan, code, build, test, release, deploy" lifecycle of these applications and services.

Basic Success Criteria

• Bachelor's degree in Computer Science, Computer Engineering, or equivalent experience

• 5+ years experience with professional full stack web development in a team setting

• Professional experience with core browser technologies (JavaScript, HTML, CSS) and TypeScript

• Experience structuring dynamic, model-driven data and determining data relationships

• Experience working with SQL, NoSQL, and time series databases

• Experience designing software architecture for both new and existing projects

Preferred Criteria

• Experience using Python and libraries such as pandas, matplotlib, and django

• Experience integrating with cloud platforms and infrastructure tools such as AWS, Terraform, and Docker

• Experience designing and implementing ingestion pipelines for high-throughput streams of real-time telemetry

• Experience integrating business intelligence and data visualization tools such as Tableau, Power BI, Superset, Metabase

• Experience developing React components and reusable libraries/tools for developers

At Reliable Robotics, we believe that our internal tools are key ingredients to our success. Aircraft design, integration, and certification are highly complex processes requiring diligent management of data and their relationships. Traditionally a paper process, our tools enable our system designers to move faster, conduct more thorough and comprehensive analyses, and design safer aircraft systems. Come be a part of taking our products to the next level.

This position requires access to information that is subject to U.S. export controls. An offer of employment will be contingent upon the applicant's capacity to perform in compliance with U.S. export control laws.

All applicants are asked to provide documentation that legally establishes status as a U.S. person or non-U.S. person (and nationalities in the case of a non-U.S. person). Where the applicant is not a U.S. person, meaning not a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident, (iii) refugee under 8 U.S.C. * 1157, or (iv) asylee under 8 U.S.C. * 1158, or not otherwise permitted to access the export-controlled technology without U.S. government authorization, the Company reserves the right not to apply for an export license for such applicants whose access to export-controlled technology or software source code requires authorization and may decline to proceed with the application process and any offer of employment on that basis.

At Reliable Robotics, our goal is to be a diverse and inclusive workforce. As an Equal Opportunity Employer, we do not discriminate on the basis of race, religion, color, creed, ancestry, sex, gender (including pregnancy, childbirth, breastfeeding, or related medical conditions), gender identity, gender expression, sexual orientation, age, non-disqualifying physical or mental disability or medical conditions, national origin, military or veteran status, genetic information, marital status, or any other basis covered by applicable law. All employment and promotion is decided on the basis of qualifications, merit, and business need.

If you require reasonable accommodation in completing an application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to

Compensation Range: $215K - $300K

About Us:

At Biz2Credit, we are looking for individuals who are ready to join a dynamic and innovative fintech company on a mission to change the lending landscape for small businesses. Our values of Collaboration, Responsibility, Empowerment, Disruption, Innovation, and Trust guide everything we do, and our purpose of helping small businesses succeed drives us forward.

As a company, we believe that with the right tools and support, small business owners can achieve their dreams, and we're here to make that happen. That's why we're dedicated to developing cutting-edge solutions, like our Biz2X platform, a fully configurable SaaS solution that leverages artificial intelligence and machine learning to make lending more efficient, effective, and accessible.

But we're more than just another FinTech company. We're a team of individuals who bring their unique personalities, backgrounds, and experiences to work every day. We believe that diversity makes us stronger, and that's why we value a culture that is inclusive and supportive. We're looking for people who are excited about the opportunity to make a difference, who want to work in an environment that is both challenging and fun, and who are eager to bring their whole selves to work.

So, if you're someone who is eager to join a company that is making a real impact, who values a positive and inclusive workplace culture, and who is ready to be a part of a team that is changing the lending landscape, we want to hear from you. Come join us and be a part of something truly special at Biz2Credit.

About the Role

Biz2Credit is launching a new small-business credit card, and we are hiring a Director Fraud Risk to build and scale the risk engine that powers the product. This role sits within the Risk organization and focuses on designing and executing the fraud and credit strategies required to safely grow a new card portfolio.

You will own fraud and credit risk strategy across the full lifecycle, partner with Data Science on model development, work with product and engineering to implement rules and logic, and collaborate with vendors who support fraud detection, identity verification, and credit decisioning. This is a hands-on, analytics-driven role for someone who has built or scaled card risk systems before.

Key Responsibilities

Fraud Risk Strategy & Analytics

• Develop and manage fraud strategies across the full credit card lifecycle: KYC, KYB, onboarding, transaction monitoring, disputes, and chargebacks
• Build and optimize fraud rules, signals, and decisioning logic
• Partner with Data Science to develop or enhance fraud models
• Monitor fraud KPIs, emerging patterns, and loss trends to adjust strategy
• Work with fraud vendors and platforms to implement rules, workflows, and detection capabilities

Credit Risk Strategy & Analytics

• Own credit line assignment, credit line increases (CLI), credit line decreases (CLD), and ongoing credit monitoring
• Develop and refine credit risk segmentation, cutoffs, and exposure strategies
• Partner with Data Science online assignment models and credit risk models
• Build dashboards and analytics to track credit performance, delinquencies, and portfolio trends
• Continuously optimize credit policies to balance growth and risk

Card Program Buildout & Scaling

• Contribute to building the fraud and credit risk foundation for a new credit card program
• Support scaling of the portfolio through iterative strategy, analytics, and model improvements
• Ensure risk systems, rules, and logic are implemented correctly across product, engineering, and vendor platforms

Cross‑Functional Collaboration

• Work closely with product, engineering, operations, and external vendors to launch and scale long duration programs
• Translate risk strategy into technical requirements for implementation
• Partner with compliance teams as needed; deep expertise not required, but familiarity with Reg Z, Reg B, FCRA, and UDAAP is helpful

Qualifications

• 5–10+ years of experience in credit card fraud risk, credit risk, risk analytics, or risk modeling
• Hands‑on experience with fraud lifecycle management: KYC, KYB, onboarding, transaction monitoring, disputes, chargebacks
• Experience with credit line strategy: limit assignment, CLI, CLD, and credit monitoring
• Strong analytics background; proficiency in SQL required, Python preferred
• Experience working with fraud and/or credit risk vendors and platforms (e.g., decision engines, fraud tools, KYC/KYB providers)
• Experience building or scaling risk strategies for a credit card program
• Ability to work cross functionally with product, engineering, data science, and vendors
• Familiarity with compliance requirements for credit cards; ability to partner with compliance teams

Who Thrives in This Role

• Someone who has built or scaled a credit card risk engine
• A fraud + credit strategist who is equally comfortable with rules, analytics, and models
• A hands-on operator who can design strategy and also dig into SQL
• Someone who enjoys cross-functional execution and long-term program building
• A risk expert who wants to shape the foundation of a new card product

Job Title: Senior Resource Planner (Manufacturing & Power Gen)

Location: Alpharetta, GA (On-site/Hybrid)

ROLE SUMMARY

We are seeking a highly analytical Senior Resource Planner to lead the optimization of our project lifecycle, from planning through commissioning. This is not a traditional scheduling role; you will act as a strategic advisor, auditing our current "Excel-centric" workflows to identify inefficiencies and architecting data-driven solutions. You will bridge the gap between complex power generation manufacturing and modern project management methodology, leveraging Power BI and AI tools to transform raw data into actionable executive insights for people and materials planning.

STRATEGIC RESPONSIBILITIES

• Resource Planning: Review existing MS Excel plans and develop an all-encompassing resource and material view to ensure each project is properly staffed with acceptable levels of utilization
• Operational Audit: Analyze existing project management and manufacturing workflows currently managed in MS Excel. Identify "single points of failure," data silos, and opportunities for automation.
• Systems Architecture: Lead the transition from manual spreadsheet tracking to integrated project controls. Develop logically linked master schedules that account for manufacturing lead times and on-site commissioning variables.
• Advanced Data Visualization: Design and implement Power BI dashboards to provide real-time visibility into project health, cost control, and resource needs and utilization across the portfolio.
• Critical Path & Risk Modeling: Perform advanced critical path analysis and "what-if" scenarios for high-stakes power generation and automation projects.
• Cross-Functional Advisory: Serve as the lead technical advisor to Project Managers and Engineers, resolving complex scheduling bottlenecks and resource conflicts.
• Automation & AI Integration: Explore and implement AI-driven tools to enhance forecasting accuracy and automate repetitive data entry tasks within the project lifecycle.
• Commissioning Oversight: Integrate site-specific commissioning phases into the master manufacturing schedule to ensure seamless handoffs and contract compliance.

KNOWLEDGE, SKILLS & EDUCATION

• Education: Bachelor’s Degree in Engineering, Construction Management, or Business Analytics.
• Experience: 7+ years of experience in forecasting, project planning/scheduling within Manufacturing, Power Generation, or Industrial Automation.
• Excel Mastery: Expert-level MS Excel skills (VBA, Power Query, Macros, complex modeling) are required, as you will be "deconstructing" the current business logic built into spreadsheets.
• Modern Stack: Proficiency in Power BI is highly desirable. Experience with AI-assisted project management tools is a significant plus.
• Technical Tools: MS Project or Primavera P6 is a plus but not required.
• Analytical Mindset: Proven ability to translate technical manufacturing constraints into clear, high-level business reports for stakeholders.

About Steady

Steady is an on-demand labor marketplace connecting businesses with skilled installers and project labor across multiple U.S. markets. Our platform helps companies access reliable labor quickly while giving workers flexible opportunities to earn.

Today, more than 40,000 workers have signed up on the Steady platform, and hundreds of companies rely on Steady to complete installation and project work across multiple major markets. Our marketplace powers thousands of project shifts each year across industries such as office furniture installation, commercial relocation, pallet racking, warehouse equipment, and millwork.

Businesses that rely on field labor face a persistent challenge: finding qualified workers quickly, at scale, and with consistent quality. Traditional staffing models are often slow, expensive, and inflexible. Steady solves this problem through a marketplace platform that combines technology, operational discipline, and a growing network of skilled workers.

As the network continues to grow, our focus is on strengthening supply reliability, improving marketplace economics, and expanding into new cities where demand for flexible skilled labor continues to grow.

Our long-term goal is to build the infrastructure layer that enables businesses to access skilled labor on demand while giving workers greater flexibility and access to opportunity.

Role Summary

The Head of Strategy and Business Operations owns the performance and scalability of the supply side of the Steady marketplace. This includes worker acquisition, onboarding, activation, quality, utilization, retention, and supply-demand balancing across all active markets. Supply is the engine of the marketplace, and this role ensures that engine runs with reliability, efficiency, and improving economics.

In addition to supply ownership, this role serves as a senior operational leader across the company, helping shape strategy, improve operating discipline, identify new revenue opportunities, and drive cross-functional execution.

This is a highly hands-on role. You will not rely on others to surface insights. You must be comfortable pulling your own data, building analyses, identifying trends, and implementing automation that improves operational performance.

Beyond operational excellence, this role will identify and test new ways to monetize the marketplace, improve unit economics, and unlock additional revenue streams tied to our worker network and client relationships.

Success in the first year will include improving worker activation and utilization, strengthening supply reliability across markets, and launching monetization initiatives that improve marketplace economics.

This role works directly with the CEO and leadership team to shape marketplace strategy and operational execution as the company expands across markets.

What You Will Own

Supply Strategy

• Design marketplace supply strategy across all markets

• Determine optimal worker density by market

• Define worker mix across skill tiers and certifications

• Build activation and retention playbooks

• Improve supply predictability and reliability

Worker Acquisition and Activation

• Optimize recruitment channels and cost per acquisition

• Improve onboarding speed and quality

• Increase activation rates of registered workers

• Reduce time from signup to first job

• Build structured worker quality scoring

Supply Performance and Quality

• Own worker utilization and repeat booking rates

• Improve job success rates and reduce field issues

• Develop foreman and lead-level pipeline

• Create performance tiers tied to incentives

Marketplace Balancing

• Ensure supply-demand equilibrium across markets

• Forecast labor needs based on sales pipeline

• Reduce job fill volatility

• Support pricing discipline through supply control

Marketplace Monetization and Revenue Expansion

• Identify new revenue streams tied to worker base and client demand

• Develop and test monetization initiatives with clear ROI frameworks

• Improve pricing structure where supply leverage exists

• Explore partnerships that enhance supply-side economics

• Build pilots quickly and scale what works

• Ensure new initiatives improve margin and enterprise value

Data, Analytics, and Automation

• Pull and analyze data directly from core systems

• Build and maintain dashboards tracking supply KPIs

• Improve data integrity across CRM and operational systems

• Implement workflow automation using tools such as Zapier or similar platforms

• Create reporting rhythms that drive accountability

• Translate data into operational decisions quickly

Cross Functional Leadership

Sales

• Align recruiting plans with projected demand

• Provide visibility into capacity constraints

• Support monetization initiatives tied to strategic accounts

Account Management

• Improve service reliability for top accounts

• Reduce escalations tied to labor quality

• Identify upsell opportunities tied to supply performance

Finance

• Forecast labor costs and supply scaling needs

• Model working capital requirements tied to supply growth

• Improve contribution margin by market

• Evaluate ROI of new revenue initiatives

KPIs and Success Metrics

Supply Metrics

Quality Metrics

Financial Metrics

Why This Role Matters

Steady is building a marketplace that depends on reliable, scalable supply. Revenue growth without supply discipline leads to inconsistent service, margin pressure, and operational instability.

This role owns the systems, strategy, and operational execution that ensure the marketplace scales with reliability and improving economics. The Sr. Manager, Marketplace Operations will play a central role in shaping how Steady grows across markets, how we strengthen the worker network, and how we unlock additional revenue opportunities from the platform. Success in this role directly impacts the company's growth trajectory, unit economics, and long-term enterprise value.

Experience and Skills

• 3+ years in operations, marketplace management, analytics, consulting, or high-growth startup

environments

• Experience working in two-sided marketplaces, labor marketplaces, logistics platforms, or

operationally complex service businesses strongly preferred

• Strong analytical and financial modeling capability

• Experience working directly with data and reporting tools

• Comfortable pulling data through SQL, BI tools, or similar systems

• Experience building dashboards and KPI reporting frameworks

• Experience implementing automation using tools such as Zapier or similar workflow platforms

• Experience identifying and launching new revenue initiatives

• Experience managing multi-market or distributed operations

• Strong cross-functional leadership skills

• You have personally built operational dashboards, analyses, or systems that materially improved

performance in a marketplace or operational environment

Traits That Matter

• Builder mindset

• Structured thinker who creates clarity from complexity

• Data-driven and commercially minded

• High ownership and accountability

• Comfortable operating without a large support team

• Willing to make difficult tradeoff decisions

Build a Career That Matters with One of the World's Most Respected Employers!

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The Business Unit Leader on the Manufacturing Operations team creates conditions for team success, delivering sustainable value for People, Profit & Planet. As a Group values representative, they develop areas of excellence for current and future performance using CARE and TECH.

Leading the team, the Business Unit Leader drives success by promoting sustainable value for people, profit, and the planet through the roles outlined below:

Operations team member: the Business Unit Leader strives to boost the Shop's performance ahead of their own Business Unit. To accomplish this, they actively participate in:

• Sharing guidelines between Business Units and helping to contribute to the Plant performance in a collaborative manner. We maintain an outlook of "ONE MANUFACTURING TEAM" in all situations.
• Identifying and nurturing individuals with potential to advance their careers within the Shop. These individuals are cultivated within their Business Unit and then transitioned to other roles to meet business demands.
• Backing Shop choices even amidst uncertainty and adverse conditions that might affect their own Business Unit.
• Boosting the Business Unit's efficiency by regularly coaching and offering feedback to support team members.
• Offering feedback on the performance of support team members and suggesting ways for improvement.

The Business Unit Leader is dedicated to nurturing individuals, viewing the plant as a hub for recruitment, training, and facilitating the professional development of all team members.

• Embrace a continuous learning approach within the teams, by assessing competencies and pinpointing development chances to address any gaps.
• Ensure the development of people through the avenue of Spoke training by support teams or through social promotion projects.
• Apply career paths accessible for all their employees.
• Construct and have faith in the importance of diverse teams.
• Support competency development through mentoring & coaching.

Role model of our core beliefs, mission & approach: the Business Unit Leader serves as the face of the Plant for the employees. They exemplify the group's principles by:

• Consistently living out the values and acting as an example to inspire their employees by their behaviors.
• Motivating their teams by bringing to bear the Michelin purpose & Dream.
• Ensuring that all team members grasp the Plant strategy and recognize their contribution to the overall success of the vision.
• Aligning the shop-level vision and mobilizing the teams to bring that vision to life on-site.
• Reflect the values of the Company by promptly resolving employee concerns. Guarantee the accurate and punctual completion of time and attendance records for employees, and address any attendance issues promptly.
• Establishing Safety as a core principle in the Business Unit, where each individual upholds responsibility for their safety and the safety of those around them.

Customer & business partner: the Business Unit Leader grasps the customers' demands and the business implications and leads the teams towards customer-centricity. The Business Unit Leader is required to:

• Acquire knowledge about the Customer/partners and their needs and the contribution their Business Unit makes to fulfill their expectations.
• Lead their Business Unit, with a focus on every aspect of generating economic value.
• Support the business through a cooperation with local teams for: industrializations, modifications, digitalization, Industry transformations, etc.

Sustainability champion: the Business Unit Leader is recognized as a dedicated champion and influencer for continuous improvements in the environmental impact of their Business Unit by:

• Promoting a culture that is aware and values sustainability and environment.
• Complying/Implementing the strategy for environmental impact and biodiversity.

Model for ICARE & Empowerment: The Business Unit Leader actively leads with ICARE principles, guiding and motivating the team accordingly.

• Motivate and convey their enthusiasm for ICARE to all staff members across all levels, by actively implementing the model within their Business Unit.
• Foster an environment of inclusion, safety, collaboration, and collective intelligence within their team.
• Engage shop Support Teams to empower and involve them in plant's future transformation.

Operational Excellence Leader: the Business Unit Leader is dedicated to cultivating operational superiority by guaranteeing that:

• Operations are guided by the application of MMW(MDP+OR/MAPP), as the teams recognize the significance of these high-quality methods. Fundamentals are maintained consistently to establish the groundwork for attaining industrial efficiency.
• The pursuit of ongoing advancement within the Business Unit, seeking to minimize variations and eliminate non-value-added tasks, is robust.
• Achieve Business Unit SMQDC expected performance levels and respect of standards to satisfy customer demand.
• The team and its members are empowered and visibly committed. Autonomy increases through the evolution of polyvalence, competencies, and responsibility.
• Uses sound problem-solving methodology to eliminate root causes of problems as they arise.

Digital and Innovation contributor: Adopt innovation, engineering, and technology ensuring the transformation is recognized as an opportunity for excellence by:

• Seeking opportunity to apply and encourage team to work with and use digital application where appropriate. Apply "use cases" to help team move forward to data-driven approach.
• Helping to build the foundations necessary for the transformation (data quality, competencies, organization, plant roadmap, collaboration with Site Digital Department).
• Supporting and triggering projects and initiatives that will develop capabilities aligned with the Michelin strategy. Highlight the importance to copy/paste digital good practices.

• A BS degree in Chemical Engineering or equivalent experience in the Chemical Industry is required. MBA, Masters of Engineering are preferred.
• Having prior experience in managing within a unionized setting is advantageous.
• At least 3-5 years of successful people management (industrial setting preferred).
• Established history of managing employee performance effectively (incorporating attendance, productivity, skill growth, and talent supervision).
• A track record of effective industrial oversight (ensuring safety, optimizing production, maintaining quality, managing costs and budgets, etc).
• Proficiency in managing Industrial Site Utilities is beneficial (covering steam, wastewater, air, nitrogen, cooling water).
• Experience in Process Safety Management is advantageous.

#LI-EO2

Ready to Shape the Future of Innovation?

Michelin is building a world-leading manufacturer of life-changing composites and experiences. Pioneering engineered materials for more than 130 years, Michelin is uniquely positioned to make decisive contributions to human progress and a more sustainable world. Drawing on its deep know-how in polymer composite materials, Michelin is constantly innovating to manufacture high-quality tires and components for critical applications in demanding fields as varied as mobility, construction, aeronautics, low-carbon energies and healthcare.

The care placed in its products and deep customer knowledge inspire Michelin to offer the finest experiences. This spans from providing data- and AI-based connected solutions for professional fleets to recommending outstanding restaurants and hotels curated by the MICHELIN Guide.

Why Michelin?

• Career Growth: Personalized development plans, mentorship, and cross-functional opportunities. Unique career paths and opportunities for advancement.

• Inclusive Culture: Thrive in a diverse, supportive environment where your competencies, contributions and behaviors are recognized. Option to join one of our Connected Communities.

• Innovation-Driven: Work on projects that matter-from sustainable materials to digital transformation.

• Community Impact: Be part of a company that does what's right. We use sustainable business practices while balancing the needs of our customers and communities.

Michelin provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), political affiliation, military service, or other non-merit-based factors. Consistent with these obligations, Michelin also provides reasonable accommodations to employees and applicants with disabilities and for sincerely held religious beliefs. If you need accommodation for any part of the employment process because of a disability, please contact us at .

This position is not available for immigration sponsorship.

We build the future with people like you. Begin your career with Michelin today!

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 4+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  • MS/PhD in Computer Science, ML, NLP, Statistics, Information Sciences, related field, or equivalent experience.
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion:

About Pinterest:

Millions of people around the world come to our platform to find creative ideas, dream about new possibilities and plan for memories that will last a lifetime. At Pinterest, we're on a mission to bring everyone the inspiration to create a life they love, and that starts with the people behind the product.

Discover a career where you ignite innovation for millions, transform passion into growth opportunities, celebrate each other's unique experiences and embrace theflexibility to do your best work. Creating a career you love? It's Possible.

At Pinterest, AI isn't just a feature, it's a powerful partner that augments our creativity and amplifies our impact, and we're looking for candidates who are excited to be a part of that. To get a complete picture of your experience and abilities, we'll explore your foundational skills and how you collaborate with AI.

Through our interview process, what matters most is that you can always explain your approach, showing us not just what you know, but how you think. You can read more about our AI interview philosophy and how we use AI in our recruiting process here.

With more than 500 million users around the world and 300 billion ideas saved, Pinterest Machine Learning engineers build personalized experiences to help Pinners create a life they love. With just over 3,000 global employees, our teams are small, mighty, and still growing. At Pinterest, you'll experience hands-on access to an incredible vault of data and contribute large-scale recommendation systems in ways you won't find anywhere else.

What you'll do:

• 
  
• Build cutting edge technology using the latest advances in deep learning and machine learning to personalize Pinterest
  
• Partner closely with teams across Pinterest to experiment and improve ML models for various product surfaces (Homefeed, Ads, Growth, Shopping, and Search), while gaining knowledge of how ML works in different areas
  
• Use data driven methods and leverage the unique properties of our data to improve candidates retrieval
  
• Work in a high-impact environment with quick experimentation and product launches
  
• Keeping up with industry trends in recommendation systems
  

What we're looking for:

• 
  
• 2+ years of industry experience applying machine learning methods (e.g., user modeling, personalization, recommender systems, search, ranking, natural language processing, reinforcement learning, and graph representation learning)
  
• End-to-end hands-on experience with building data processing pipelines, large scale machine learning systems, and big data technologies (e.g., Hadoop/Spark)
  
• Degree in computer science, machine learning, statistics, or related field
  
• Nice to have:
  
  • 
    
  • M.S. or PhD in Machine Learning or related areas
    
  • Publications at top ML conferences
    
  • Expertise in scalable realtime systems that process stream data
    
  • Passion for applied ML and the Pinterest product
    
  
  
  

Relocation Statement:

• 
  
• This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model.
  

#LI-SA1

#LI-REMOTE

At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise.

Information regarding the culture at Pinterest and benefits available for this position can be found here.

Our Commitment to Inclusion: