Data Scientist

About this position

Description:

ABOUT HIROSE

This is an exciting opportunity to join Hirose, an organization that for almost a hundred years has been pioneering thousands of new connectors and defining industry standards in consumer electronics, industrial automation, high speed backbone computer infrastructure, automotive, and medical applications. A compact company of smart people, Hirose uses the talents of every employee to bring innovation to put big technology in small packages.

We are seeking a highly motivated and analytically driven Data Scientist with 2–5 years of experience to support data-driven decision-making across the organization. This role is designed for an individual who operates with an entrepreneurial mindset, demonstrating curiosity, initiative, and a strong desire to learn all aspects of our business.

The Data Scientist will play a key role in identifying, aggregating, and analyzing data across multiple functions—including sales, distribution, operations, marketing, and production—to provide actionable insights that drive operational excellence and support domestic and global revenue growth.

This role is a critical enabler of commercial and operational strategy, directly influencing pricing decisions, inventory positioning, distributor performance, and overall business competitiveness.

Data Integration & Business Intelligence

• Identify, acquire, and integrate data from multiple internal and external sources
• Build and maintain structured datasets and data pipelines to support business intelligence, advanced analytics, and machine learning initiatives
• Enable a unified view of performance across sales, marketing, operations, and supply chain

Advanced Analytics & Insights

• Analyze data across key business domains, including:
• Sales funnel performance, pipeline conversion, and revenue forecasting
• Customer engagement, account activity, and demand trends
• Distribution channel and partner performance
• Marketing effectiveness and lead generation
• Operations, production metrics, and lead times
• Apply statistical analysis, predictive modeling, and data mining techniques to generate actionable insights
• Translate complex analyses into clear recommendations that drive strategic decision‑making

Reporting, Visualization & KPI Management

• Develop and deploy dashboards and reporting tools to track KPIs and business performance
• Leverage Tableau and data visualization best practices to deliver scalable, intuitive insights
• Enable leadership and cross‑functional teams to make faster, data‑informed decisions

Pricing Analytics & Competitive Intelligence

• Develop data‑driven pricing models and algorithms aligned with market dynamics and company value proposition
• Conduct competitive analysis using quantitative frameworks to evaluate product positioning
• Quantify competitive advantages across attributes such as cost, performance, reliability, and lead time
• Support pricing optimization, margin expansion, and win‑rate improvement initiatives
• Partner cross‑functionally with Sales, Marketing, Product Management, and Operations to embed analytics into pricing strategy

Distributor Analytics & Supply Chain Optimization

• Analyze distributor inventory, product mix, and demand signals to optimize channel performance
• Integrate internal and external datasets (pipeline activity, lead times, purchasing history)
• Develop models to improve inventory optimization, forecasting accuracy, and service levels
• Identify opportunities to increase inventory turns, reduce imbalances, and drive revenue growth

Cross‑Functional & Global Collaboration

• Partner with Sales, Marketing, Operations, Supply Chain, and Finance teams across the Americas
• Collaborate with global teams (including headquarters) to align data models and reporting standards
• Support development of a global analytics framework for consistent performance measurement

Continuous Improvement & Data Strategy

• Identify data gaps and drive improvements in data quality, governance, and reporting processes
• Contribute to initiatives that enhance scalability, automation, and analytics maturity across the organization

Skills and Qualifications

• 2–5 years of experience in Data…