Tech-Lead Data Science, Inventor Garage Laboratory

Woven by Toyota is the mobility technology subsidiary of Toyota Motor Corporation. Our mission is to deliver safe, intelligent, human-centered mobility for all. Through our Arene mobility software platform, safety-first automated driving technology and Toyota Woven City — our test course for advanced mobility — we’re bringing greater freedom, safety and happiness to people and society. 
Our unique global culture weaves modern Silicon Valley innovation and time-tested Japanese quality craftsmanship. We leverage these complementary strengths to amplify the capabilities of drivers, foster happiness, and elevate well-being.
TEAMOur experienced engineers are dedicated to simplifying and accelerating innovation for inventors and creators within Woven City, a pioneering Living Laboratory designed to test and evolve cutting-edge technologies in real-world environments. We help inventors and aspiring inventors test ideas and hypotheses across a fully connected ecosystem, leveraging data analytics and experimentation to make the best data-driven decisions. By integrating data-driven methodologies into their product lifecycle, we help them ensure faster, better, and safer product releases.Our mission is to empower inventors by bringing their ideas to life through a structured, data-centric process within the dynamic environment of Woven City. We are committed to developing a versatile platform that caters to inventors' diverse needs and cultivating a culture of innovation that minimizes risks, enhances product quality, and fuels advancement across the entire Living Laboratory.For more information about Woven City, please visit: https://www.woven-city.global/
WHO ARE WE LOOKING FORWe are looking for an experienced and motivated Lead Data Scientist to drive the future of our data and AI initiatives at Woven City. You will focus on ethical knowledge acquisition and analyzing resident feedback, both passive and active, to gain valuable insights. As the Lead Data Scientist, you will set the strategic and technical direction, creating an operational and research environment to support diverse studies and process both quantitative and qualitative data.This role requires expertise in human behavior and feedback analysis within a complex, data-rich environment, encompassing both digital and physical aspects of Woven City. You will collaborate closely with technical teams, such as data, ML, and backend engineering, to align initiatives with broader organizational goals. We expect strong technical skills paired with strategic vision, a passion for solving complex data challenges, and the ability to foster a collaborative and innovative atmosphere. Strong communication is key, as you will lead technical discussions and mentor other engineers to drive success.You will report to the Department Manager andt this is a hybrid work style role. 

RESPONSIBILITIES:

• Lead and mentor a team of data scientists and ML engineers, promoting a culture of continuous improvement, collaboration, and best practices in coding, documentation, and reproducibility
• Define project scope, objectives, timelines, and deliverables, aligning with business goals to drive impactful outcomes
• Partner with cross-functional teams, including engineering, product, and business development, for cohesive and aligned project execution
• Oversee the development, validation, and deployment of ML models using frameworks like TensorFlow, PyTorch, and Scikit-learn, while staying updated on new technologies to advance team capabilities
• Collaborate with engineering and data teams to design scalable data pipelines, integrate ML models into production using big data technologies, and ensure data quality, security, and compliance

MINIMUM QUALIFICATIONS:

• Over 7 years of experience in data science, specializing in complex, data-intensive applications - particularly in human-centric research settings - with expertise in unstructured data analysis, techniques for extracting quantitative and qualitative insights, data security, and lifecycle management
• Extensive experience with machine learning frameworks (e.g., TensorFlow, Keras, PyTorch, Scikit-learn, LightGBM, JAX), data processing technologies (e.g., Spark), relational and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra), and programming languages such as Python, R, SQL, and occasionally Scala or Java
• Proficient in unsupervised (e.g., clustering, PCA), semi-supervised (e.g., self-training, label propagation), and supervised ML and deep learning models (e.g., regression, classification, CNNs, RNNs)
• Skilled in creating effective data visualization strategies and well-structured dashboards using tools like Tableau, Power BI, or Python visualization libraries
• Strong leadership, team and project management skills, with excellent communication in English and basic Japanese comprehension

NICE TO HAVES:

• In-depth understanding of the industry and business domain to effectively address business problems with data science solutions
• Experience building data products focusing on human feedback, including usage in both digital and physical environments
• Experience with LLM prompt engineering and the long-chain ecosystem (e.g., PineCone, AutoGPT, PromptLayer, LlamaIndex)

All interviews will be arranged via Google Meet, unless otherwise stated.
WHAT WE OFFER・Competitive Salary - Based on experience・Work Hours - Flexible working time with NO core-hours・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 Security - all applicable (Health Insurance, Pension, Workers’ Comp, and Unemployment Insurance, Long-term care insurance)・In-house Training Program (software study/language study)
Our Commitment・We are an equal opportunity employer and value diversity.・Any information we receive from you will be used only in the hiring and onboarding process. Please see our privacy notice for more details.