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Japan Data Scientist Jobs in Indiana (NOW HIRING)

You will influence how R&D scientists design experiments, capture data, and analyze results to ... Taiwan; Korea; Japan What we offer: We are curious minds that come from a broad range of ...

CAD Technician

Princeton, IN · On-site

$25 - $30/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Ability to travel up to 20% to all NAM's as well as Japan as needed. * A motor vehicle record that ... Simultaneous Engineering for assembly of vehicle Data Management & Studies. * 3D studies ...

QA Compliance Specialist

Indianapolis, IN

$89K - $166K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in a scientific or health-related field and at least 5 years of experience in a ... Japan, Brazil * Previous Quality Assurance experience must include Data Integrity, (ALCOA ...

QA Compliance Specialist

Indianapolis, IN · On-site

$89K - $166K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in a scientific or health-related field and at least 5 years of experience in a ... Japan, Brazil * Previous Quality Assurance experience must include Data Integrity, (ALCOA ...

Embedded Software Engineer

Noblesville, IN · On-site

$123K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create and input data utilizing corporate management system software that include software ... Bachelor's degree in a computer science, computer engineering, electrical or technical engineering ...

Japan Data Scientist information

See Indiana salary details

$35.7K

$116.8K

$187K

How much do japan data scientist jobs pay per year?

As of Aug 17, 2026, the average yearly pay for japan data scientist in Indiana is $116,793.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,700.00 and $129,400.00 per year, depending on experience, location, and employer.

What does a Japan data scientist do?

A Japan Data Scientist is a professional who analyzes and interprets complex data to help organizations in Japan make informed decisions. They use statistical methods, machine learning, and data visualization tools to uncover trends and patterns specific to the Japanese market. Their work often involves working with large datasets, building predictive models, and communicating insights to both technical and non-technical stakeholders. Data Scientists in Japan may also need to understand local regulations and cultural factors that influence data usage and interpretation.

What are the key skills and qualifications needed to thrive as a Japan data scientist, and why are they important?

To thrive as a Japan Data Scientist, you generally need a solid background in statistics, mathematics, and computer science, often supported by a relevant degree or advanced certification. Proficiency in data analysis tools such as Python, R, SQL, and familiarity with machine learning frameworks and data visualization platforms is typically required. Strong communication skills, cultural awareness, and problem-solving abilities help distinguish candidates, especially in cross-functional or global teams. These skills and qualities are vital for extracting actionable insights from data, effectively communicating findings, and driving data-informed decisions within Japanese business contexts.

What are some common challenges faced by data scientists working in Japan, and how can they be addressed?

Data Scientists in Japan often encounter challenges such as language barriers within mixed-language teams, adapting to local business practices, and accessing high-quality data due to privacy regulations. Building strong communication skills in both Japanese and English can help bridge gaps in cross-functional teams. Additionally, familiarizing yourself with Japanese data privacy laws and company-specific data handling policies is crucial. Proactively networking and participating in local data science communities can also provide valuable support and insights for overcoming these challenges.

What is the difference between Japan Data Scientist vs Japan Data Analyst?

AspectJapan Data ScientistJapan Data Analyst
Required CredentialsDegree in Data Science, Statistics, or related fields; often certifications in machine learning or data analysisDegree in Business, Economics, or related fields; certifications in data analysis tools like Excel, Tableau
Work EnvironmentDevelops models, algorithms, and predictive analytics; often involved in complex data projectsPrepares reports, visualizations, and interprets data for business insights
Employer & Industry UsageTech companies, finance, e-commerce, and consulting firmsRetail, marketing, finance, and healthcare sectors

Japan Data Scientists focus on building models and advanced analytics, requiring technical expertise and programming skills. Japan Data Analysts primarily interpret data and create reports, emphasizing data visualization and business insights. Both roles are vital but differ in complexity and technical depth.

How much do Japan data scientists make?

Data scientists in Japan typically earn between ¥6 million and ¥10 million annually, depending on experience, skills, and industry. Senior data scientists with advanced expertise in machine learning and data analysis tools can earn higher salaries, especially in technology and finance sectors.

What are popular job titles related to Japan Data Scientist jobs in Indiana?

For Japan Data Scientist jobs in Indiana, the most frequently searched job titles are:

What cities in Indiana are hiring for Japan Data Scientist jobs?

Cities in Indiana with the most Japan Data Scientist job openings:

Full-time

Re-posted 2 days ago


Job description

Work Your Magic with us!

Ready to explore, break barriers, and discover more? We know you've got big plans - so do we! Our colleagues across the globe love innovating with science and technology to enrich people's lives with our solutions in Healthcare, Life Science, and Electronics. Together, we dream big and are passionate about caring for our rich mix of people, customers, patients, and planet. That's why we are always looking for curious minds that see themselves imagining the unimaginable with us.

Everything we do in Electronics is to help us deliver on our purpose of being the company behind the companies, advancing digital living. We are dedicated to being the trusted supplier of high-tech materials, services and specialty chemicals for the electronics, automotive and cosmetics industries. We foster a global collaborative organization made up of individuals who have the passion to win, obsess about the customer, are relentlessly curious and act with urgency. Together, we push the boundaries of science to make more possible for our customers.


  • Your Role: Head of Materials AI

    EMD Electronics is in the middle of a fundamental shift in how R&D gets done, and you will be at the helm of this transformation. You will lead a deployed portfolio of AI products with real users, a multidisciplinary team of scientists and engineers, and a substantial strategic investment behind you. Your mandate is to scale what works, sharpen what doesn't, and define the operating model for AI-amplified R&D before the industry converges around one. You will shape the Materials AI roadmap across AI co-scientists, Bayesian optimization, ML-based simulation, lab digitization, and ELN infrastructure across global sites. You'll have an annual program budget and multi-year commitment from technology leadership to drive multi-site impact. You will influence how R&D scientists design experiments, capture data, and analyze results to close the gap between AI capability and daily research practice. You will represent the company's AI leadership externally at conferences and partnerships. You will own and prioritize a portfolio of concurrent AI and digital programs, managing budget, vendors, and milestone delivery. You will architect and scale a deployed multi-agent AI co-scientist platform into the primary R&D workflow tool. You will extend MLIP and interatomic potential modeling to new material systems and use cases. You will complete global lab digitization, connecting 100+ instruments to ELN and migrating millions of historical experiments. You will lead a global team across Germany, the US, and Asia, driving cross-functional collaboration with CTO, R&D sites, and business functions.

    Who You Are:
    • Advanced degree (PhD or equivalent) in computer science, data science, chemistry, materials science, or a related field, or equivalent experience.
    • 10+ years leading technical teams and large-scale digital transformation programs, including experience in R&D or science-driven organizations.
    • Hands-on AI/ML experience (LLMs, Bayesian optimization, or data-driven modeling) in a real deployment context.
    • Proven track record delivering digital products in complex, multi-stakeholder environments, bridging data/AI strategy and operational delivery.
    • Experience with new product development and scale-up commercialization.
    • Proficiency in agentic AI architectures and large language model-based systems, plus modern data infrastructure.
    • Demonstrated ability to drive technological adoption and embed tools into how people work.
    • Experience leading international, multi-site teams of scientists and engineers across disciplines.
Location: San Jose, United States; Germany; Taiwan; Korea; Japan

What we offer: We are curious minds that come from a broad range of backgrounds, perspectives, and life experiences. We believe that this variety drives excellence and innovation, strengthening our ability to lead in science and technology. We are committed to creating access and opportunities for all to develop and grow at your own pace. Join us in building a culture of inclusion and belonging that impacts millions and empowers everyone to work their magic and champion human progress!

Apply now and become a part of a team that is dedicated to Sparking Discovery and Elevating Humanity!

Employment Type: FULL_TIME