JD1 : Data Scientist
As the Data Scientist, Retail & Supply Chain Analytics you and your efforts will provide exceptional leadership in the development and execution of retail analytics to support decision-making across various functions of demand chain- merchandise, assortments planning areas & Supply Chain Area. You are an expert in complex modeling, analytical methodology and have a rich history in excelling in: longitudinal analyses, multi-level modeling, multivariate analyses of variance, hierarchical demand forecasting and more.
You have an inherent passion for data and data driven thinking, and can effortlessly extract patterns from volumes of data to drive strategy and operational efficiencies. You can also take that data and tell an easy to understand brand story with actionable items for others.
How You Will Make a Difference:
Support Development of Advanced Analytics practice to develop best in class demand chain- merchandise, assortments planning areas analytics practice and drive analytic culture. Topics will include, but not limited to long term demand forecast, short term replenishment, smart allocation to avoid excess inventory and lost sale opportunities, ROI analysis.
Bring industry best practices to analytic processes to create time efficiencies. Data Infrastructure: In collaboration with infrastructure in IT teams, make recommendations for data architecture Strategy. Tool Assessment: Develop and deploy analytical tools and data science techniques to analyze complex data sets enabling useful forecast solution. Monitor trends in data science and alternative sources to ensure HCL is in tune with best in class tools and techniques.
Skills for Success:
Years of Related Professional Experience: 7+ years
Educational/ Position Requirements:
.BA/BS in a quantitative field (statistics, operations research, mathematics, computer science, economics, analytics) is required; master's degree in a similar quantitative field from an accredited university is highly desirable.
.Experience working in the retail/consumer goods/apparel industry a plus.
.Experience with statistical and predictive modeling in open-source software, such as, R or Python and at least basic familiarity with SAS®, Matlab®, or Stata®
.Expertise in statistical modeling and analytical methodology including, regression, classification, clustering, variety of predictive modeling, time-series analysis, demand forecasting to enable hierarchical forecast at Region/store/product level and automation/reporting/visualization.
.Passion for working with numbers and large datasets.
.Strong understanding of retail and apparel best practices and trends.
.Ability to influence and work through others to effectively navigate matrixed organization while ensuring that necessary stakeholders are informed.
.Strong communication skills that can influence team and senior leaders to act in a desired manner through written and verbal communication. Ability to simplify highly complex analyses and output into terms that are easily accessible and impactful in both written and verbal formats.
.High level of analytical and negotiating skills as evidence by high intelligence, strong financial and analytical capabilities and the proven ability to develop, sell and drive suitable partnerships, alliances, or other transactions to closure.
.Demonstrates a sense of calmness under periods of uncertainty or change while dealing with stress in a manner that sets the necessary tone for the team and function.
.High character and integrity, is consistent and acts in line with a clear and visible set of values and beliefs.
.Global outlook with sensitivity and awareness of social and cultural differences.