Data Scientist at Hirose Electric USA

Downers Grove, Illinois, United States -

Full Time

Start Date

Immediate

Expiry Date

02 Sep, 26

Salary

0.0

Posted On

04 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, R, SQL, Tableau, Power BI, Predictive Modeling, Machine Learning, Statistical Analysis, Data Integration, Pricing Analytics, Supply Chain Analytics, Inventory Optimization, Data Visualization, KPI Management, Data Mining, Business Intelligence

Industry

electrical;Appliances;and Electronics Manufacturing

Description

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. Position Summary 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. POSITION RESPONSIBILITIES This position reports to the Manager of Information Technologies. Essential responsibilities include but are not limited to 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 Requirements SKILLS AND QUALIFICATIONS To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. 2–5 years of experience in Data Science, Data Analytics, Business Intelligence, or AI/ML roles Bachelor’s degree in Data Science, Statistics, Computer Science, Engineering, or related field (Master’s preferred) Strong analytical thinking with the ability to solve complex business problems using data Excellent communication skills, with the ability to present insights to executive stakeholders Proven ability to work independently and within cross-functional teams Technical Skills Strong proficiency in Python, R, SQL, or similar programming languages Advanced experience with Tableau, Power BI, or data visualization tools Experience with predictive modeling, machine learning, and statistical analysis Ability to work with large, complex, multi-source datasets Experience in pricing analytics, supply chain analytics, or inventory optimization is a strong plus Core Competencies Entrepreneurial Mindset Proactive, curious, and comfortable operating in a fast-paced, growth-oriented environment Business Acumen Strong understanding (or desire to learn) sales, distribution, manufacturing, and supply chain dynamics Ability to connect data insights to measurable business outcomes Collaboration & Global Perspective Effective in cross-functional, cross-regional environments Able to align diverse stakeholders around data-driven decisions Executive Communication Communicates complex data insights in a clear, concise, and business-relevant manner Results Orientation Focused on driving tangible improvements in revenue, margin, efficiency, and performance Success Profile The ideal candidate is a high-potential, hands-on Data Scientist who brings together technical expertise, business curiosity, and a strong results orientation. This individual thrives in a collaborative, global environment and is energized by using data to: Optimize pricing strategy and competitive positioning Improve inventory alignment and supply chain execution Strengthen sales and distributor performance Accelerate growth across domestic and international markets SUPERVISION None PHYSICAL CONDITIONS Normal office environment. PHYSICAL DEMANDS The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. While performing the duties of this job, the employee is regularly required to talk or hear. The employee is frequently required to sit, stand, walk, use hands to finger, handle or feel, reach with hands and arms, climb or balance and stoop, kneel, crouch or crawl. The employee will also need to travel to tradeshows and company events. The employee must occasionally lift and/or move up to 40 pounds. WORK ENVIRONMENT The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The noise level in the work environment is usually moderate. Hirose Electric Americas, Inc. may need to revise or change the essential and supplemental responsibilities of the position as the need arises. This job description does not constitute a written or implied contract of employment.

Responsibilities

The Data Scientist will integrate data from multiple sources to provide actionable insights across sales, operations, and supply chain functions. Key duties include developing pricing models, optimizing distributor performance, and creating dashboards to track business KPIs.