Senior Data Scientist

Minimum Qualifications

• 5+ years of experience working in Data Science or an analytics/quantitative field
• 3+ years of direct experience in Machine Learning, Computer Vision, Signal Processing, or Natural Language Processing (NLP)
• Solid experience using Python (including NumPy/Pandas) and SQL
• Solid experience working with Apache Spark
• Strong fundamentals in problem solving, algorithm design and complexity analysis
• Extensive experience in researching and developing machine learning solutions, leveraging Jupyter notebooks in EMR, Kubeflow, SageMaker, or other ML platforms
• Hands-on experience with web APIs, containers, orchestration, CI/CD and testing
• Hands-on experience with implementing and testing Python APIs using a well-known Python web or API Framework (Flask, FastAPI, etc.)
• Experience working in Agile Scrum environments
• Experience implementing solutions in a public cloud environment (AWS, Azure, or Google Cloud)
• Strong ability to set goals and timelines, provide estimates proactively, and a sense of ownership and accountability over work
• Expertise in data analytics and data modeling
• Ability to independently write and review code in Python and SQL
• Working proficiency in ML algorithm selection, training, and deployment
• Is aware of and can apply emerging ML technology/tools
• Demonstrates advanced problem-solving, troubleshooting, and decision-making skills
• Ability to apply innovation and creativity in building solutions focused on improving people’s lives
• Ability to work independently and take ownership of tasks/assignments
• Leverages expertise in data science and ML to answer questions about the methodology and findings in meetings
• Ability to develop healthy working relationships and collaborate with peers and leaders
• Solutions-oriented with an ability to keep an open mind while finding agreeable solutions
• Experience coaching and providing guidance to more junior team members

Responsibilities

• Use statistical and machine learning techniques to create scalable solutions for vehicle telemetry data and video analysis, and perform R&D to drive discovery of new generation mobility products
• Lead limited complexity Data Science projects, including defining objectives, scheduling, estimating costs, allocating resources, and ensuring timely delivery
• Design end-to-end flow, encompassing exploratory data analysis for trend identification, pattern recognition, insights, and monitoring
• Identify opportunities to streamline and optimize models/pipelines for efficiency
• Apply advanced statistical and ML techniques to solve complex business challenges, leveraging large datasets and cutting-edge algorithms
• Develop and deploy sophisticated ML models and algorithms, considering scalability, interpretability, and real-time demands
• Execute the complete model life cycle: data identification, cleaning, EDA, model training, validation, and deployment
• Oversee data pipeline optimization for accurate and efficient data storage and processing
• Design efficient solutions and code for processing extensive data volumes
• Evaluate and select appropriate ML techniques and algorithms for specific use cases, documenting reasoning and efficacy of approach
• Read, understand, and modify CI/CD pipelines for ML projects
• Review monitoring pipelines, analyze metrics, and assess performance, including review of relevant frameworks
• Lead code reviews, ensuring compliance with software development best practices, providing guidance, and conducting self-unit testing
• Produce clean, reusable, and high-quality production code with minimal supervision, even in unfamiliar codebases, frameworks, or languages
• Provide input on MLOps tools, workflows, and solutions for the enterprise
• Prepare and present findings to both technical and non-technical audiences

Benefits

• Annual $2,500 Training Budget to help you grow and develop your professional skills
• Unlimited time off and flexibility for a great work-life balance
• Home office stipend of $1,000 to help furnish an ergonomic remote office
• Four months of paid parental leave
• Adoption Assistance of $5,000 for regular adoptions or $6,000 for special needs
• 401(k) with generous company match that is fully vested day one
• Toyota and Lexus vehicle discounts
• Generous vehicle allowance for new and leased Toyota and Lexus vehicles
• Annual Patent-a-thons and Hackathons to embrace your superior creative thinking ability
• Annual Wellness Stipend of $1000 to help balance your overall mental and physical health
• Free catered lunches when working onsite
• No dress code!

Company Information

Want to change the world, transform the automotive industry and positively impact others on a global scale? Then Toyota Connected is the place for you! Within our collaborative environment we deliver exceptional value in the form of connected products and services that wow and delight our customers and the world around us. We offer a unique opportunity to be part of a small company where each person’s efforts make a difference, while also delivering major impact as our products and services reach millions of customers. Come help us reimagine what mobility can be today and years to come!