Sr. Data Scientist, Aftersales Parts Pricing
Franklin, Tennessee - United States of America
Nissan Motor Corporation
Nissan Motor Corporation Global Website: Visit the site for information about Nissan, sustainability, IR, and innovation. This site also provides various Nissan initiatives, including design, safety, quality, and community engagement.Location(s): Franklin, TN
Job Schedule: Full-time
Education Requirement: Bachelors, Master’s preferred
Sponsorship: No
Shape the Future of Mobility at Nissan: Launch Your Career, Drive Innovation
We are currently looking for a Sr. Data Scientist, Aftersales Parts Pricing to join our team in Franklin, TN. The Sr. Data Scientist provides complex data and predictive analytics solutions to identify and address opportunities for business expansion and optimization of marketing and incentive decisions. In particular, the Data Scientist will be responsible for extracting relevant data, modeling business processes, discovering business insights, and identifying opportunities through the use of in-depth statistical, algorithmic, data mining and advanced visualization techniques.
A Day in the Life:
- Utilizes expertise in statistical and machine learning methods using tools such as R and proficiency in big data infrastructures such as Hadoop to perform tasks related to all aspects of model development, including data extraction/data load, data cleansing, predictive analysis and model build.
- Identifies what data is available and relevant, including internal and external data sources, while leveraging new data collection and analysis processes. Collaborates with internal and external SME’s to select relevant sources of information, and engages with the Sales & Marketing Analytics team, M&S functions and IS to elicit, document, analyze and validate analytics solution objectives and requirements.
- Develops experimental design approaches to validate findings or test hypotheses. Provides on-going tracking and monitoring of performance of decision systems and statistical models.
- Researches through analysis of data from various internal and external sources in order to identify opportunities for new services/products that contribute to FMI (Fixed Marketing Investments), VME (Variable Marketing Expenditures), Inventory Mix and Sales Performance. Implements IT solutions for projects, ongoing solutions, and business expansion by providing proof of concept business cases to internal clients.
- Provides expert advice and recommendations to colleagues and Nissan leadership. Clearly and transparently communicates the status of current projects, new possible opportunities, and roadblocks to success to departmental leadership. Further serves as educator/consultant to greater Nissan on advanced methods.
- Partners with team members to ensure that all information used is in compliance with the regulatory and security policies in place.
- Evaluates and improves system operations by conducting systems analysis. Recommends changes in policies and procedures. Protects operations by keeping information confidential. Assesses actual results versus targets and applies countermeasures as necessary. Understands and applies decision making and problem solving techniques.
- Interfaces with all levels of management to gain insight to the different functional needs, sometimes drawing out issues and value creation ideas poorly communicated by stakeholders. Acts as key liaison with key academics, consultants, and supplies who are occasionally leveraged for subject matter expertise.
- As necessary, performs other related duties of which the above are representative.
Who We’re Looking for:
Required:
- Education: B.S. degree in applied mathematics, statistics, computer science or related field; Master’s degree preferred.
- Experience: At least 6 years of relevant experience in Big Data management, quantitative and qualitative research and analytics experience. Experience in business needs assessments, prioritization techniques, and business case development desired. Prior automotive experience a plus.
- Job Knowledge and Skill: Ability to find solutions to loosely defined business problems by leveraging large unstructured datasets. Advanced knowledge of statistical and machine learning methods required. High proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms. Experience working with Dynamic Pricing Models, is a plus. Must possess ability to synthesize data, uncover inherent trends in the data, make recommendations about associated opportunities and implications to business performance, & communicate findings & recommendations to a variety of audiences.
- Ability to perform work onsite at Nissan North America Headquarters Franklin, TN.
- Travel: Infrequent day or overnight travel.
What You’ll Look Forward to at Nissan:
Career Growth and Continuous Learning Opportunities: Benefit from diverse career paths, cross-departmental moves, and innovative learning platforms. Enhance your skills through seminars, leadership training, and tuition reimbursement programs, all while playing a vital role in shaping the future of transportation. From day one, you'll have the support to tackle challenges and contribute to impactful solutions across our organization.
Rewards: Be supported with a Comprehensive Benefits Package, including medical, mental health, parental leave, retirement savings & unique Nissan perks, including discounts on lease vehicles as part of our Employee Lease Program and a Vehicle Purchase Program (VPP). For more information, access our Nissan Benefits Overview Guide.
Nissan is committed to a drug-free workplace. All employment is contingent upon the successful completion of drug and background screenings in accordance with Nissan policies and in compliance with federal, state, and local laws, including the California Fair Chance Act and the Los Angeles County Fair Chance Ordinance. Nissan will consider qualified candidates with arrest or conviction records for employment in a manner consistent with these laws.
It is Nissan’s policy to provide Equal Employment Opportunity (EEO) to all persons regardless of race, gender, military status, disability, or any other status protected by law. Candidates for this position must be legally authorized to work in the United States and will be required to provide proof of employment eligibility at the time of hire; Nissan uses E-Verify to validate employment eligibility.
NISSAN FOR EVERYONE
People are our most valuable assets, and diversity and inclusion are the key to maximizing the power of each individual member of our team. When everyone belongs, the power of NISSAN is undeniable. Our Corporate Diversity Initiative aims to improve business results by ensuring that our workplace and core businesses meet the unique needs of our employees and customer base.
Nissan is committed to creating a culture where everyone belongs and employees, customers, and partners feel respected, valued, and heard. We have over 10 Business Synergy Teams (BSTs) across the U.S. and Canada that connect employees – with shared characteristics or interests – build allies, and foster a company culture where all employees feel supported and included.
Nissan also values inclusion in all areas of our business as we strive to mirror the diversity of our customer base and the communities where we do business. We are committed to procuring innovative goods and services, retailing our products and communicating from a diverse perspective which will help us continue to offer our customers competitively designed, market-driven products.
Join us as we carry our commitment to diversity and inclusion into the future.
Franklin Tennessee United States of America* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Big Data Computer Science Data management Data Mining Hadoop Machine Learning Mathematics ML models R Research Security Statistics Testing
Perks/benefits: Career development Health care Medical leave Parental leave Startup environment
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