Magnit Direct Sourcing on behalf of Toyota is currently hiring for an Analyst, Data Science role for a temporary assignment in Plano, TX.
This position is a 12-month assignment, with potential to extend. The pay range for this role is between $60.00 - $74.00/Hr. Benefits: Medical, Dental, Vision, 401K.
Title: Analyst, Data Science
Location: Plano, TX.
Duration: 12 months
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.
What we’re looking for
This role is ideal for someone who thrives at the intersection of computational science, data analysis, and business consulting. The ideal candidate will excel in manipulating, analyzing, and cleaning data, using predictive and prescriptive models to extract actionable insights that inform business decisions. They should also be proficient in programming with Python, leveraging it to build robust models and ensure seamless deployment from development to production. The ability to present results and recommendations effectively to business partners and leaders is essential. 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
What you’ll be doing
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.
Software development with a Python environment
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.
Requirements:
Qualifications/ What you bring (Must Haves) – Highlight Top 3-5 skills
Master’s degree or higher in a relevant analytical field.
Highly proficient with SQL
Hands-on experience with software development using Python Pandas, and Numpy
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, TensorFlow, etc).
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.
Proactive approach to identifying problems and developing innovative solutions.
Experience with version control in GitHub
Added bonus if you have (Preferred):
Familiarity with CI/CD practices to streamline model deployment and code management.
Hands-on experience with cloud-based machine learning platforms (e.g., AWS SageMaker or Azure ML) to leverage scalable computing resources and tools.
Demonstrated ability to lead through influence, effectively navigating and prioritizing complex cross-departmental projects to drive impactful change.
Capability to replace and bridge existing legacy infrastructure and processes.
Experience with the Snowflake, Netezza, or Microsoft SQL environment
Experience with SAS programming language
Understanding of cashflow financial analysis and its implications for business strategy is highly desirable
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.
Click here to join our talent network and be the first in line when a new contingent job opportunity opens at Toyota through Magnit Direct Sourcing.
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.
