Senior Data Scientist

Toyota North America•Plano, TX

10d

About The Position

Overview Who we are Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world’s most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We’re looking for talented team members who want to Dream. Do. Grow. with us. To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time. Who we’re looking for Toyota’s OneTech Data Department is looking for a passionate and highly motivated Senior Data Scientist. The primary responsibility of this role is to develop impactful and scalable data science solutions on the edge or cloud that enhance various business functions. Reporting to the Senior Manager at the Office of Data Science and Automation, the person in this role will support the OneTech Data department's objective to optimize business and manufacturing processes through advanced machine learning and analytics.

Requirements

A degree in a quantitative field such as Data Science, Computer Science, Engineering, Mathematics, Statistics, or Economics, with an advanced degree being desirable.
A minimum of 3 years of professional experience.
Proficient in analyzing and modeling large data sets, structured and unstructured, utilizing modern statistical, machine learning, deep learning, and GenAI techniques.
Expertise in transforming ambiguous questions into impactful experiments, analysis, or models.
Experience with Machine Learning platforms (AWS Sagemaker, Databricks), Deep Learning frameworks (PyTorch, TensorFlow), Data Pipelines (Spark and Airflow), CI/CD, GitHub, and visualization (Power BI or Tableau).

Nice To Haves

An advanced degree (MS or PhD).
Experience working in automotive or other advanced manufacturing industries.
Experience deploying models in a production environment.
Familiarity with development and deployment of models on edge nodes.

Responsibilities

Utilize machine learning, deep learning, computer vision and generative AI models to create intelligence solutions, including predictive models, recommendation systems, and optimization algorithms for various business and manufacturing teams.
Translate business challenges into tangible proof-of-concept models through a combination of creative thinking, well-planned experimentation, rigorous analysis, and an innovative application of machine learning techniques.
Write production-quality code in Python, PySpark, and SQL to ensure robust and efficient data processing.
Develop data-driven products that analyze large datasets to extract insights that inform strategic investments and drive operational improvements.
Communicate complex analytical results and recommendations to both technical and non-technical stakeholders using compelling data visualizations, reports and presentations.
Work collaboratively with product managers, senior scientists, data engineers, and other team members in an agile and scrum environment, ensuring cross-functional alignment to fulfill product delivery requirements.

Benefits

A work environment built on teamwork, flexibility and respect
Professional growth and development programs to help advance your career, as well as tuition reimbursement
Team Member Vehicle Purchase Discount
Toyota Team Member Lease Vehicle Program (if applicable)
Comprehensive health care and wellness plans for your entire family
Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute
Paid holidays and paid time off
Referral services related to prenatal services, adoption, childcare, schools and more
Relocation assistance (if applicable)

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