Data Scientist at Toyota
Plano, Texas, USA -
Full Time


Start Date

Immediate

Expiry Date

19 Nov, 25

Salary

81.0

Posted On

20 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Sql, Programming Languages, R, Python, Scala, Spark

Industry

Information Technology/IT

Description

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 diverse, talented team members who want to Dream. Do. Grow. with us.

QUALIFICATIONS/ WHAT YOU BRING (MUST HAVES) – HIGHLIGHT TOP 3-5 SKILLS

  • Work on ad-hoc data science projects
  • Strong technical skills in SQL, Python, R , or other programming languages commonly used in data analysis.
  • Working knowledge of CI/CD and MLOps
  • Good knowledge in working with distributed datastores (e.g., SQL, NoSQL ), and Big Data and Cloud technologies like GCP BQ Firebase snowflake redshift
  • Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, TensorFlow, torch)

QUALIFICATION/LICENSURE

Work Authorization : Green Card, US Citizen
Preferred years of experience : 0 years
Travel required : No travel required
Shift timings : 9 AM to 5 P

Responsibilities
  • Expertise in Machine learning and Data Science
  • Experience working with large datasets, finding insights, and telling stories using data.
  • Understanding of advance ML topics viz. Deep learning (ENN, CNN, RNN, etc.), GAN, Transformers, NLP, LLM’s is a plus.
  • Experience with ELT, ETL processes using glue, glue brew transformations.
  • Experience working with automotive data sets is preferred.
  • Deep expertise in Data Science viz. data segmentation, churn analysis, repeat purchase, market basket, A/B testing, etc.
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