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 Num Py/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, Sage Maker, 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, Fast API, 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
- Toyota and Lexus vehicle discounts
- Annual Wellness Stipend of $1000
- Free catered lunches when working onsite
- No dress code!