Data Scientist Aftersales Business Intelligence

With a focus on Mobility, Operational Excellence, Value to our Customers and the Electrification of vehicles, you can expect to be part of something exciting. From the sleek design of our vehicles to the unique opportunities we offer around the globe, Nissan exemplifies ingenuity in everything we do. Our people are what drive the business forward.

We are seeking a Data Scientist to join our team at the Nissan North Americas Headquarters in Franklin, TN.

Job Summary

Data Scientist Aftersales Business Intelligence 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.

Job Functions

The following job function statements describe the general nature and level of work being performed. They are not to be construed as an exhaustive list of all responsibilities, duties and skills required of personnel so classified. The job function statements reflect expectations of the fully trained, proficient incumbent who meets all performance criteria.

1. 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.

2. 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.

3. Develops experimental design approaches to validate findings or test hypotheses. Provides on-going tracking and monitoring of performance of decision systems and statistical models.

4. 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.

5. 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.

6. Partners with team members to ensure that all information used is in compliance with the regulatory and security policies in place.

7. 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.

8. 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 suppliers who are occasionally leveraged for subject matter expertise.

9. As necessary, performs other related duties of which the above are representative.

Minimum Qualifications

The following qualification statements reflect the minimum skills and abilities required of the qualified applicant.

1. Job Knowledge and Skills:

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. Strong communication and interpersonal skills desired. 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.

2. 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.

3. Supervisory Experience:

None required. Project leadership experience preferred.

4. Education:

B.S. degree in applied mathematics, statistics, computer science or related field; Master's degree preferred.

5. Computer Skills:

Advanced knowledge of databases including cloud, mainframe, data warehouse tools/techniques and visualization tools. Advanced knowledge and prior use of R, Hadoop, and Tableau. Thorough knowledge of word processor, spreadsheet, other PC applications, as well as Internet & mainframe applications to create specialized applications or products of a highly technical nature.

Physical Requirements

The physical requirements described below are representative of those an employee must normally meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable otherwise qualified individuals with disabilities to perform the essential job functions.

Travel:

Infrequent day or overnight travel.

Welcome to an open lane of possibility. Drive your career forward and join the company leading the technology and business evolution of the automotive industry by applying today.

Nissan is committed to a drug-free workplace. All employment is contingent upon successful completion of a drug screen for roles based in the United States and background screening for all positions.

All of us at Nissan - regardless of functional area or expertise - share a passion to design, manufacture, and sell high-performance vehicles. 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.

**Visa sponsorship for this position is not available at this time.**

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