What are the responsibilities and job description for the Senior Data Scientist position at Toyota Connected North America?
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
A Career Path that allows you to take your career to the next level
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
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