Функция: Отдел операций

Тип занятости: Полный рабочий день

Место расположения: New Jersey - Clark

Страна/область: United States

Director – Data Science

Job Description


Job Title: Data Science, Director

Reports to: AVP, Transportation Network Engineering

Location: Cranbury, NJ

Position Overview:  This role will lead the designing and development of advanced analytics solutions that will enable L’Oréal’s Supply Chain to unlock insights hidden within our data. The Data Scientist will develop and maintain a data warehouse and create the capabilities in advanced analytics, forecasting, and visualizations that will help the organization make network level decisions catered towards improving cost and service.

Key Responsibilities:

Data Management

  • Data mining and integration of multiple data sources needed to develop a robust dataset that records the various data elements impacting the entire lifecycle of an order from receipt to delivery
  • Work with IT and vendors to design data warehouse(s) that updates near real-time
  • Structure the data to enable direct and real-time usage in visualization tools
  • Own the processes related to timely updating of data warehouse, reporting and visualization tools
  • Develop a methodology and own the process that continuously checks for data quality issues. Implement corrective actions that will protect tools using the data from erroneous reporting
 

Analytics

  • Establish baseline model of current network that enables future comparisons
  • Identify current network inefficiencies and develop insights related to cost and service.
  • Optimize network to determine ideal DC network based on various parameters including, but not limited to cost, lead times, customer requirements, market forces, etc…
  • Analyze impact of certain network and flow decisions made/requested by the organization
  • Use statistical modeling and regression analyses to create predictive and forecasting models that can assist the various supply chain teams to successfully plan operational capacity

Reporting

  • Develop operational KPI reports that can update real time, daily, weekly, monthly, quarterly
  • Work with various supply chain teams and assist with the creation of dashboards and visualization that have the ability to efficiently and accurately explain the state of the business/operation
 

  Qualifications and Educational Background

  • Master’s degree required in Data Science, Mathematics, Statistics, Computer Science or related field
  • 7+ years of work experience related to data science
  • Successful track record of applying data science to solve real-world supply chain problems
  • Strong understanding of theory and practice of advanced analytical techniques
  • Advanced proficiency with data management and business analytics technologies
  • Exceptionally strong Excel, Access, data visualization (Tableau, PowerBi, Domo) skills
  • Hands-on experience in building solutions using common data science languages and tools (e.g. Python, R, Azure Machine Learning Services, Azure Machine Learning Studio, Hadoop, Spark, etc.)
  • Advanced knowledge of data shaping and transformation and analysis using SQL
  • Ability to access and synthesize large data sets will be crucial for success in this role
  • Experience of SAP or similar ERP
  • Strong interpersonal skills
  • Exquisite written and oral communication skills combined with the ability to meet tight deadlines and prioritize workloads. Must be able to communicate effectively with all levels of the organization
  • Ability to thrive in a dynamic, fast-paced work environment
  • Consumer products background preferred


We are an Equal Opportunity Employer and take pride in a diverse environment. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, gender, sexual orientation, national origin, age, marital or veteran status, medical condition or disability, or any other legally protected status.

If you require a reasonable accommodation to complete an application for a recognized disability under applicable law, please email USApplicationAccommodation@support.lorealusa.com. Please note this email will only respond to specific requests for assistance completing the application as a request for accommodation for a disability. All others will not be considered.