Remote Senior Data Scientist – New Product Introduction & Manufacturing Intelligence Analytics | arenaflex

About arenaflex

arenaflex stands at the forefront of innovation in advanced manufacturing, energy systems, and sustainable product design. As a globally recognized leader in electric vehicles, energy storage, and integrated clean energy solutions, arenaflex is redefining what is possible when engineering excellence meets data-driven decision making. Headquartered with operations spanning continents, arenaflex has built its reputation on a relentless commitment to accelerating the world's transition to sustainable energy through breakthrough products and cutting-edge technology.

At arenaflex, data is not merely a byproduct of operations—it is the lifeblood of every strategic decision, every product refinement, and every operational optimization. Our culture is built on the principle that the right insight, surfaced at the right time, can transform entire industries. We are a company of engineers, scientists, and visionaries who believe that rigorous analysis, statistical thinking, and computational intelligence can unlock unprecedented value for our customers, our shareholders, and the planet.

Our New Product Introduction (NPI) team is one of the most dynamic and high-impact groups within arenaflex. This team is responsible for shepherding breakthrough products from the prototype stage through high-volume production, ensuring that every component, every system, and every process is optimized for quality, cost, and scalability. To support this mission, we are seeking a talented, driven, and analytically rigorous Senior Data Scientist to join our remote workforce and make a tangible impact on the future of manufacturing at arenaflex.

Position Overview

We are hiring a Remote Senior Data Scientist – New Product Introduction & Manufacturing Intelligence Analytics to join the New Product Introduction team at arenaflex. In this role, you will architect the data communications, dashboarding, and analytical frameworks that keep errors at bay as we manage change to drive improvements in our world-class products. Your work will directly influence arenaflex engineers and production teams on a daily basis, will enhance organizational efficiency, and will improve the functionality of products we are producing today and those we will launch in the years to come.

As a Data Scientist embedded within the NPI group, you will retrieve, analyze, and synthesize complex data, translating findings into actionable insights for cross-functional stakeholders. This is a unique opportunity to shape the analytical backbone of one of the most innovative manufacturing organizations on the planet, all from the comfort of your home office.

Key Responsibilities

As a Senior Data Scientist at arenaflex, you will take ownership of a wide range of analytical, technical, and strategic initiatives. Your primary responsibilities will include:

• Building Robust Analytical Infrastructure: Design, develop, and deploy robust, scalable, and automated software tools that enable complex analyses of real-time manufacturing and product data across the NPI portfolio.
• Answering Complex Business Questions: Investigate and answer complex questions about the impact of engineering changes on manufacturing operations, providing data-driven recommendations that influence product and process decisions.
• Cross-Platform Data Integration: Bridge data from disparate storage systems and sources, integrating engineering, manufacturing, supplier, and IT datasets into unified analytical views.
• Cross-Functional Collaboration: Work closely with engineering, manufacturing, supplier quality, and IT teams to understand business needs, refine analytical approaches, and deliver solutions that drive measurable impact.
• Data Pipeline Automation: Contribute to the automation, standardization, and continuous improvement of arenaflex's data pipelines, ensuring that data flows efficiently and reliably from source to insight.
• Visualization and Storytelling: Build compelling visualizations and dashboards that communicate complex findings clearly and persuasively to technical and non-technical audiences alike.
• Change Coordination Analysis: Analyze and determine optimal solutions for change coordination with manufacturing, other arenaflex production facilities, and external suppliers, including Engineering Bill of Materials (EBOM), Manufacturing Bill of Materials (MBOM), and related structures.
• Thought Leadership: Provide thought leadership in analytics, statistical modeling, and data science best practices, elevating the team's capabilities and outcomes through mentorship and collaboration.
• Process Optimization: Develop and program the execution of business processes and solutions that are optimized for speed, accuracy, cost efficiency, capacity, and scalability.
• Decision Support Systems: Build decision support systems, analytical tools, and predictive models that are scalable, reproducible, and well-documented to assist with capacity planning, growth modeling, and strategic decision making across arenaflex.
• Problem Refinement and Scope Definition: Partner with stakeholders to take ambiguous problem statements, refine the scope of analysis, define success metrics, and use the results to drive informed business decisions.
• Communication of Findings: Summarize and clearly communicate data analysis hypotheses, methodologies, and results to audiences ranging from individual contributors to senior leadership.
• Production-Grade Data Pipelines: Build data pipelines that transition ad-hoc analyses into production-grade dashboards that engineers and operators can rely on as part of their daily workflow.
• Self-Service Analytics Enablement: Design and implement metrics, applications, and tools that empower engineers and operators to self-serve their own data insights, reducing bottlenecks and accelerating decision cycles.
• Engineering Partnership: Collaborate with software and data engineers to drive adoption of your applications and tools, ensuring they are integrated into the broader arenaflex technology ecosystem.
• High-Quality Code: Write clean, well-tested, and well-documented code that can be maintained, extended, and improved by other engineers and data scientists on the team.
• Production Support: Operate, monitor, and support your production applications, responding to incidents and continuously improving reliability and performance.
• Technology Scouting: Stay current on relevant technologies, frameworks, and methodologies, and propose new approaches that the team could adopt to maintain a competitive analytical edge.
• Pattern Recognition and Innovation: Identify trends, design novel approaches to data analysis, and set innovative targets to drive improvements in both existing and future products at arenaflex.

Essential Qualifications

To be successful in this role, candidates must bring a strong foundation in quantitative analysis and a demonstrated history of impact. Required qualifications include:

• A Bachelor's degree or higher in a quantitative discipline such as Statistics, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering, Operations Research, or a related field. Equivalent practical experience and demonstrated exceptional ability will also be considered.
• Strong working knowledge of data structures, data architectures, and query languages such as SQL.
• Experience with and interest in data visualization techniques and tools.
• Solid foundation in statistics and probability, with the ability to apply statistical reasoning to real-world business problems.
• Demonstrated programming experience in a professional environment, with the ability to write production-quality code.
• Excellent verbal and written communication skills, with the ability to convey complex analytical concepts to diverse audiences.
• Strong problem-solving abilities and the flexibility to reprioritize and adapt to changing requirements with minimal notice in order to meet critical deadlines.
• Proven engineering skills and a track record of outstanding performance, evidenced by personal contributions to difficult problems that had a measurable impact on significant projects.
• Comfortable thriving in a fast-paced, constantly evolving, high-growth environment with unstructured, incomplete, and ambiguous data.

Preferred Qualifications

In addition to the essentials, the following qualifications will make you stand out as a candidate:

• Experience with statistical programming languages such as R or Python.
• Experience with database languages such as SQL, NoSQL, or graph databases.
• Experience with simulation tools such as Arena, FlexSim, AnyLogic, or similar discrete-event simulation platforms.
• Hands-on experience with data visualization tools such as Tableau, Power BI, d3.js, or comparable libraries.
• Some familiarity with deep learning fundamentals, including experience training neural networks and interpreting model results.
• A curious mindset and a relentless drive to solve complex, ambiguous problems.
• A balance of intellectual humility and confidence, with a strong preference for action and getting things done.

Skills and Competencies for Success

Beyond technical qualifications, the ideal candidate will demonstrate the following attributes:

• Analytical Rigor: A deep commitment to evidence-based reasoning and the ability to apply scientific methods to business problems.
• Curiosity: An insatiable desire to understand how things work and why, combined with the persistence to dig into data until the truth is revealed.
• Collaboration: The ability to work effectively across functions, geographies, and levels of seniority to build consensus and drive results.
• Ownership: A strong sense of accountability for your work, your tools, and the outcomes they enable.
• Adaptability: Comfort with ambiguity and the ability to thrive in a fast-changing environment where priorities can shift quickly.
• Communication: The ability to distill complexity into clarity, both in writing and in person, across technical and business audiences.

Career Growth and Learning Opportunities

At arenaflex, we believe that our people are our greatest competitive advantage. As a Senior Data Scientist on the NPI team, you will have access to a wealth of growth opportunities, including:

• Mentorship from some of the most accomplished data scientists, engineers, and product leaders in the industry.
• Exposure to cutting-edge problems in manufacturing analytics, electric vehicle systems, energy storage, and clean energy production.
• Opportunities to publish, present, and contribute to the broader data science community through conferences, internal forums, and research collaborations.
• Access to continuous learning resources, including online courses, conference attendance, certifications, and dedicated time for professional development.
• A clear career progression path that can lead to technical leadership, people management, or individual contributor tracks at the staff and principal levels.

Work Environment and Company Culture

arenaflex is more than a workplace—it is a community of mission-driven individuals united by a shared commitment to sustainable innovation. Our culture is defined by the following principles:

• Mission First: Everything we do is in service of accelerating the world's transition to sustainable energy.
• Move Fast: We bias toward action, iterate quickly, and learn from every experiment.
• Think Like an Owner: Every team member is empowered to make decisions and is accountable for outcomes.
• Challenge Convention: We question assumptions, challenge the status quo, and pursue breakthrough innovations.
• One Team: We collaborate across disciplines, geographies, and hierarchies to achieve the extraordinary.

This position is fully remote, giving you the flexibility to work from anywhere in the United States while remaining deeply connected to your team through regular virtual collaboration, periodic on-site engagements, and annual company gatherings. We provide the tools, equipment, and support you need to thrive in a remote work environment.

Compensation and Benefits

arenaflex offers a competitive compensation package designed to attract and retain top talent, including:

• A competitive hourly rate commensurate with experience and qualifications.
• Comprehensive medical, dental, and vision insurance plans for you and your family.
• A 401(k) retirement savings plan with company match.
• Generous paid time off, including vacation, sick leave, and holidays.
• Parental leave and family support programs.
• Equity or stock-based compensation opportunities, where applicable.
• Professional development reimbursement and learning stipends.
• Home office setup allowance and monthly remote work stipend.

How to Apply

If you are a passionate, driven, and analytically curious data scientist who wants to make a real impact on the future of sustainable manufacturing, we want to hear from you. This is your opportunity to join a team that is shaping the products of tomorrow, working alongside some of the brightest minds in the industry, and contributing to a mission that truly matters.

Bring your curiosity, your rigor, and your drive. Bring your data. Bring your ideas. Bring your whole self. arenaflex is ready to welcome the next great data scientist to our remote team.

Apply today and help us accelerate the world's transition to sustainable energy—one insight at a time.