Sales Ops Data Scientist Job - Karkidi

Sales Ops Data Scientist

Mercedes-Benz AG
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Job Description

Mercedes Benz USA is responsible for the sales, marketing and service of all Mercedes Benz and Maybach products in the United States. In our people, you will find tremendous commitment to our corporate values. Our products and employees reflect this dedication. We are looking for diverse top notch individuals to join the Mercedes Benz Team and uphold these hallmarks.

Job Overview

The Sales Operations Data Scientist will support quantitative data needs of the Mercedes Benz passenger car sales organization through usage of sales and market based data. A successful Sales Operations Data Scientist employ mathematical science, computer science, and quantitative analysis skills to derive solutions to complex data problems and assist in the development and implementation of market driven market support plans, strategies and tactics, consistent with the goals and objectives of Mercedes Benz USA.

He or she will use various techniques to display descriptive, diagnostic, predictive and prescriptive analytics. This analysis will be critical in planning and sales scenarios, identifying trends and opportunities. This role will be responsible for advancing the analytic capabilities of the sales organization and developing new models for future use.

Advanced knowledge of analytics, data science and machine learning tools such as Power BI, Tableau, Alteryx, Python, R, SQL, Microsoft Access and Excel for Predictive and Prescriptive analytics will be required.

Responsibilities

  • Support quantitative data needs of the passenger car sales organization in performing advanced analytics and predictive modeling.
  • Take various data sets from multiple sources with varying levels of complexity producing unified theories and analysis supported by data, and then communicate those findings to all layers of the organization.
  • Communicate with cross functional teams to socialize data best practices

Qualifications

Bachelor’s Degree (accredited school) with emphasis in:

  • Computer/Information Science
  • Engineering
  • Information Technology
  • Mathematics
  • Management Information System (MIS)
  • Statistics
  • Data analytics training

Other Qualifications:

  • Advanced knowledge of analytics & data science
  • Knowledge of SQL required
  • Knowledge of statistical programming languages such as Python or R required
  • Experience working with platforms such as databricks or jupyter notebooks
  • Experience in data visualization tools such as Tableau, Power BI, MicroStrategy
  • Experience in data manipulation tools such as Alteryx, Knime, Trifacta not required but considered a plus.
  • Experience working in cloud environments such as Microsoft Azure or Google Cloud not required but considered a plus
  • Automotive experience not required but a plus.
  • Ability to work with and prioritize many simultaneous projects and deadline pressures.
  • High degree of computer proficiency required including advanced knowledge in excel and statistical methods.
  • Automotive Retail Knowledge of retail processes and procedures, with emphasis in New and Pre owned sales, accessories, service and parts
  • Business – General Knowledge of fundamental business practices and concepts that impact the success and profitability of the organization
  • Business Management Knowledge of business and management principles involved in strategic planning, resource allocation, leadership technique, human resource management and efficiency and process methods
  • Finance Knowledge and understanding of the implications of key financial indicators and controls and assessing impact of financial information
  • Processing Knowledge of processes, quality control, costs, and other techniques in order to achieve maximum efficiency

Additional Information

  • Must be able to work flexible hours/work schedule
  • Work Holidays when required
  • Work weekends when required

Rejwanur Rahman
Email: rejwanur.rahman@mbusa.com

EEO Statement

Mercedes Benz USA is committed to fostering an inclusive environment that appreciates and leverages the diversity of our team. We provide equal employment opportunity (EEO) to all qualified applicants and employees without regard to race, color, ethnicity, gender, age, national origin, religion, marital status, veteran status, physical or other disability, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local law.

Company Info.

Mercedes-Benz AG

Mercedes-Benz, commonly referred to as Mercedes and sometimes as Benz, is a German luxury and commercial vehicle automotive brand established in 1926. Mercedes-Benz AG is headquartered in Stuttgart, Baden-Württemberg, Germany.

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