Job Description

Tenneco is one of the world's leading designers, manufacturers and marketers of automotive products for original equipment and aftermarket customers, with 2019 revenues of $17.5 billion and approximately 78,000 team members working at more than 300 sites worldwide.

We are looking for a Sr. Data Scientist, Global Supply Chain. Reporting to the Executive Director, Global Supply Chain Business Intelligence & Analytics, the Senior Data Scientist is responsible for the transformative analytics programs within Supply Chain. These may include, but are not limited to, customer fulfillment, inventory management and global spend. An important component is data accuracy and standardization, and this role will be responsible for data analysis to implement global data standards across multiple data sources. The Senior Data Scientist will work with our business partners in Supply Chain to identify/analyze data quality issues, design the solution and coordinate the changes. The Sr. Data Scientist will be responsible for successful deployment of reporting and analytics projects.

The team is ready to act immediately on those candidates who are the best fit for the role. You'll first hear from someone in Talent Acquisition to schedule a phone screen, and then the next step will be a personal interview with our Hiring Manager. We pride ourselves on moving through processes quickly, and you can be sure of transparency and prompt communication throughout.

RESPONSIBILITIES:

• Lead production development of Global Supply Chain visualizations and reporting to track, measure, flag key indicators for the purpose of assessing global business process health.
• Lead engagements for collaborative analytics programs with universities; delivering meaningful outcomes and building relationships with students and faculty.
• Mentor other members of the global team on statistical methods, analysis and data quality.
• Perform and communicate comprehensive exploratory analysis to understanding drivers, impacts, and key influences on decision-making within different each sub-process.
• Develop statistical/machine learning models to elevate business process performance and decision-making.
• Collaborate with business partners to develop new approaches to meet business goals using analytics and effectively communicating your analytics approach.

Required Experience

Education: Bachelor's Degree in Engineering, Computer Science, Analytics or related field required. Master's degree in quantitative field (computer science, data science, data analytics, business analytics preferred).

Skills & Experience:

• 5+ years of experience as a data scientist.
• Experience communicating the results of analysis with product and leadership teams to influence the strategy of the product.
• Proficient writing complex SQL queries.
• Experience working with IT and / or DBAs in respect to projects involving large databases.
• Experience in a scripting language (Python preferred).
• Strong understanding of statistics (e.g., hypothesis testing, regressions, ML systems).
• Excellent communication and collaboration skills to work across multiple groups within the organization.
• Ability to resolve complex problems and break them down to analyze possible solutions.
• Advocate for analytics approach to business problems where use of data may be scarce.

An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability.