Magnit Direct Sourcing on behalf of Toyota is currently hiring for a Senior Analyst, Data Science role for a temporary Hybrid assignment in Plano, TX.
This position is a 24-months assignment, with potential to extend. The pay range for this role is between $60.00 - $70.00/Hr. Benefits: Medical, Dental, Vision, 401K.

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.

WHAT WE’RE LOOKING FOR

The TFS Data & Technology (DnT) team is seeking a highly motivated person to fill an opening as a Senior Analyst, Data Science, to help our growing Data Science practice.
This role is ideal for someone who will thrive working at the intersection of computational science, predictive modeling, and business consulting. The ideal candidate will excel at analysis, manipulation, and cleaning of data, building predictive and prescriptive models using a variety of theoretical and computational techniques, extract insights from models to help inform business decisions, and present results and recommendations to various business partners and leaders. Additionally, the ideal candidate will also possess the technical expertise to help transition models from development to production and deploy them efficiently. If you have a passion for end-to-end data solutions and enjoy working in a dynamic, collaborative setting, you could be the perfect fit for our team.

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

• Master’s degree or higher in a relevant analytical field.
• Hands-on experience building and optimizing data solutions using Python
• Experience solving problems using a variety of statistical and machine learning techniques.
• Hands-on experience using statistical or machine learning frameworks to solve a variety of real-world problems (e.g., statsmodels, scikit-learn, PyTorch).
• Knowledge of methods like Logistic Regression, Time Series Analysis, GLMs, Mixed Modeling, Multivariate Statistics, Predictive Modeling, Decision Trees, Gradient-Boosted Trees, Random Forests, and Neural Networks.
  Talented, dedicated people are an integral part of our mission to build the best workforce, working together to create the future of mobility and make the world a better place. We are always on the lookout for diverse, driven, and collaborative talent interested in performing contract work for Toyota.
  Magnit is an equal opportunity employer, and all applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

QUALIFICATION/LICENSURE

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

• Work closely with team members and business partners to identify and prioritize key questions and drive impactful data-based decisions.
• Extract, manipulate, and clean data from diverse sources using SQL and Python, preparing it for detailed analysis and model development.
• Develop and implement sophisticated predictive and prescriptive models using statistical and machine learning techniques. Ensure these models address key business challenges and deliver actionable insights.
• Create clear, compelling data visualizations to effectively communicate findings to both technical and non-technical stakeholders.
• Effectively and efficiently transition models from development to production within the organization’s existing cloud ecosystem.
• Participate actively in project planning and prioritization sessions to ensure data initiatives align with business goals.
• Stay updated with the latest industry trends and tools and integrate this knowledge to improve methodologies and solutions.