
501 - 1000 employees
Founded 1970
🚗 Transport
👥 B2C
🛒 Retail
Transport • B2C • Retail
Mazda North American Operations is the North American subsidiary of Mazda Motor Corporation responsible for marketing, sales, distribution, and customer support of Mazda automobiles across the United States (and broader North America). The company showcases and sells a full lineup of passenger cars, crossovers, SUVs, hybrid and plug-in hybrid models, and sports cars through a network of local dealerships, offers financing and warranty products, certified pre-owned programs, owner services, accessories, and promotional offers. Mazda North American Operations emphasizes vehicle design, safety, electrification options, and customer ownership experiences.
🔥 0 minutes ago
🏈 Alabama, Arizona, +34 more states – Remote
💵 $95.5k - $145.7k / year
⏰ Full Time
🟡 Mid-level
🟠 Senior
📊 Data Scientist
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501 - 1000 employees
Founded 1970
🚗 Transport
👥 B2C
🛒 Retail
Transport • B2C • Retail
Mazda North American Operations is the North American subsidiary of Mazda Motor Corporation responsible for marketing, sales, distribution, and customer support of Mazda automobiles across the United States (and broader North America). The company showcases and sells a full lineup of passenger cars, crossovers, SUVs, hybrid and plug-in hybrid models, and sports cars through a network of local dealerships, offers financing and warranty products, certified pre-owned programs, owner services, accessories, and promotional offers. Mazda North American Operations emphasizes vehicle design, safety, electrification options, and customer ownership experiences.
• 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
• 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)
• Comprehensive benefits package
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