2 days ago

Senior Data Scientist, Dojo

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About Woven by Toyota

Woven by Toyota, a part of the Toyota Group, is challenging the current state of mobility through human-centric innovation and empowering mobility transformation. Through our AD/ADAS technology, our automotive software development platform Arene OS, our mobility test course Toyota Woven City, and Toyota’s growth fund, Woven Capital, we are pioneering the movement of people, goods, information, and energy, weaving a future of enhanced safety, connectivity and well-being for all.

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TEAM

Woven by Toyota's Dojo exists to develop the human capital of Woven by Toyota, Toyota Group, and millions of adult professionals and learners across corporate Japan. We want to recruit a diverse team of international experts to create AI-driven, data-driven talent intelligent solutions as Woven by Toyota strives to create a safer, happier, and more sustainable world. Our mission is to empower the mobility of people at a societal level by guiding them to discover and attain new digital skills through clever use of data, design and technology.

As the Data Science & Advance Research team, we take our mission seriously. We take a human-centered, data-driven approach to generate talent management and L&D insight and AI models. We evaluate individuals' perspectives, and embrace open communication and collaboration culture.

WHO ARE WE LOOKING FOR?

We’re seeking a seasoned Senior Data Scientist who can tackle complex business challenges and transform them into innovative technical solutions. In this role, you’ll dive deep into statistical analysis, data mining, and cutting-edge LLM technologies to shape the future of AI-driven products.

You’ll engage hands-on with emerging technologies and push the boundaries of what’s possible in AI from early ideation and research through to final delivery. Join us to take the helm in developing data-driven product features, mentor up-and-coming talent, and help define the next frontier of AI-powered innovation! You'll report to the Head of Data Science & Advanced Research and come to the office up to 3 days/week as hybrid work to attend meetings with partners and the team.

RESPONSIBILITIES

Design and Develop AI/ML models: You will craft effective prompts to interact with AI models, optimizing output quality and relevance), fine-tuning, data feeding, performance validation and engineering continuous improvement.

Execution: You’ll bring cutting-edge innovations to life, including planning, research, execution, and delivery stages, and seize the opportunity to shape the future of data science with groundbreaking solutions that make a real impact. You will design and own data technical solutions, ensure cross-functional team alignment and collaboration, and ensure flawless execution.

Human Centered Analysis: You’ll manipulate human behavior, sentiment and language data to uncover hidden patterns and support data-driven decision-making.

Model Lifecycle Assurance: Lead and oversee AI model development, from ideation, resource definition, to deployment and monitoring. Collaborate with engineers to implement models in existing systems.

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MINIMUM QUALIFICATIONS

8 years in consumer facing platform or human generated data-centered or similar data science field

Experience with AI/ML including LLMs and trendy ML models, encompassing prompt engineering, fine-tuning, pipeline setup, validation, and QA for targeted applications

5+ years of experience applying advanced statistical methods and data mining techniques to identify new business opportunities and address existing challenges, including experience building data products from concept to production

Expertise in one or more programming languages (Python, R, C++, Java) and familiarity with data science libraries and toolkits; experience working with cloud services (preferably AWS)

Experience translating complex technical concepts to non-technical partners (e.g. head of HR, head of L&D, and senior leaders in the engineering field) independently

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NICE TO HAVES

Advanced degree in Data Science, Statistics, BI, Quantitative Analytics, Econometric, Biostatistics or a related field

Experience in the Education Technology or HR technology industry

Fluent in Japanese and English

Knowledge of DevOps practices for AI model deployment and MLOps principles

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Important Points

・All interviews will be arranged via Google Meet, unless otherwise stated.

・The same job descriptions are available in both English and Japanese; therefore, we kindly ask that you apply to only one version.

・We kindly request that you submit your resume in English, if possible. However, Japanese resumes are also acceptable. Please note that, depending on the English proficiency requirements of the role, we may request an English version of your resume later in the process.

WHAT WE OFFER

・Competitive Salary - Based on experience

・Work Hours - Flexible working time

・Paid Holiday - 20 days per year (prorated)

・Sick Leave - 6 days per year (prorated)

・Holiday - Sat & Sun, Japanese National Holidays, and other days defined by our company

・Japanese Social Insurance - Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance

・Housing Allowance

・Retirement Benefits

・Rental Cars Support

・In-house Training Program (software study/language study)

Our Commitment