Data Scientist

Mazda North American Operations

Data Scientist responsible for mining big data and supporting business solutions for Mazda North American Operations. Analyzing complex datasets to drive business decisions and optimizing performance.

Posted 7/18/2026full-timeRemote • Alabama, Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Hawaii, Idaho, Illinois, Kansas, Kentucky, Louisiana, Maryland, Massachusetts, Minnesota, Missouri, Montana, Nevada, New Hampshire, New Jersey, New Mexico, New York, North Carolina, Ohio, Oklahoma, Oregon, Pennsylvania, Rhode Island, South Carolina, Tennessee, Texas, Utah, Virginia, Washington, Wisconsin • 🇺🇸 United StatesMid-LevelSenior💰 $95,500 - $145,675 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in developing and deploying predictive models using statistical techniques and machine learning algorithms to enhance company performance and customer experiences. Proficient in data analysis, data mining, and collaboration with cross-functional teams to implement data-driven solutions.

Highest-signal resume keywords

Predictive Model DevelopmentStatistical Data AnalysisMachine Learning AlgorithmsData Handling PlatformsProgramming in Python

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisData MiningMachine LearningData InterpretationData VisualizationSQLRPythonData Management

Soft Skills

CollaborationCommunicationStakeholder Engagement

Tools & Technologies

HadoopSparkHivePower PivotAlteryxNumPyPandasTensorFlowMongoDBRDBMS

Industry Keywords

Big DataData-Driven SolutionsData AnalysisData EngineeringEconometrics

Tech Stack

Tools & technologies

HadoopMongoDBNoSQLNumpyPandasPythonRDBMSSparkSQLTensorflow

About the role

Key responsibilities & impact

Responsible for mining big data, interpreting and analyzing complex data sets
Develops and deploys predictive models to analyze company performance and improve customer experiences
Applies statistical techniques and machine learning algorithms to identify trends within Mazda data
Collaborates closely with data engineers, analysts, and business stakeholders to integrate data-driven solutions

Requirements

What you’ll need

Bachelor’s degree in Math, Statistics, Econometrics, Operations Research, Computer Science, Engineering or related field
Minimum of three (3) years hands-on work experience developing and applying predictive models
Experience with data handling platforms (Hadoop, Spark, Hive, Power Pivot, Alteryx, SQL)
Programming experience (Python, R, SQL)
At least one year of experience working with senior stakeholders and non-technical business leaders
Certifications and/or coursework in specific data science techniques and algorithms preferred.
Strong proficiency in statistical data analysis and data mining packages (e.g., R, NumPy, Pandas, TensorFlow, etc.)
Working knowledge of data management tools including SQL/RDBMS, NoSQL (e.g., MongoDB)

Benefits

Comp & perks

Comprehensive benefits package