Data Science Consultant

Key Skills

Python Programming, Linear regression, R Programming, Clustering, Neural Networks, Predictive analytics

Job Description

Consultant, Data Science

Location: Remote - US

Data Science is all about breaking new ground to enable businesses to answer their most urgent questions. Pioneering massively parallel data-intensive analytic processing, our mission is to develop a whole new approach to generating meaning and value from petabyte-scale data sets and shape brand new methodologies, tools, statistical methods and models. What’s more, we are in collaboration with leading academics, industry experts and highly skilled engineers to equip our customers to generate sophisticated new insights from the biggest of big data. Join us to do the best work of your career and make a profound social impact as a Consultant, Data Science on our Global Service Parts team.

What you’ll achieve

The Global Service Parts (GSP) Organization consists of procurement, forecasting, reverse logistics, repair, reporting, inventory and network optimization, and management of the supply chain for service parts and warranty events. The primary focus of this role is supporting the Global Service Parts planning processes in order to improve the network configuration, demand predictability, and help us continue our journey toward autonomous planning. As Consultant, Data Science you will support the global planning methodology, parameters setting, development and testing. You will optimize our supply chain by improving the predictability and finding key elements hidden into the tons of data.

You will:

• Build, train, validate, and deploy models to be implemented in Global Warehouse and Depots

• Develops predictive analytics model for Asset Recovery Parts forecasting

• Collaborate with internal teams to build predictive tools to be used by external teams for global services

• Develops and expands current Neural Network applications on Product lifecycle and Logistics network

• Interacts with internal Technical Support and CRM tools in order to predict potential demand spikes that negatively impact annual parts purchases

• Develops discovery analytics for operations organization using current data infrastructure

• Helps frame future data strategies for team

Take the first step towards your dream career
Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:
Essential Requirements

• 8+ years with a Master’s degree in Data Science, Statistics, Business Analytics, Operations Research, Supply Chain, Engineering, Statistics or related field; or 5+ years with a PhD

• 3-5 years or relevant Data science experience deploying models

• Database knowledge and expertise in SQL

• Experience with visualization libraries and tools like matplotlib, d3.js, Tableau, Power BI

• Experience with time-series and NLP

• Experience with optimization software to apply integer programming, mixed-integer programming, non-linear programming, and stochastic optimization

• Experience in big data technologies (Hadoop, Spark, MAP\Reduce, Hive, IMPALA among others)

• Knowledge of advanced statistical techniques and concepts (regression, classification, hypothesis testing, Bayesian analysis, etc.)

Desirable Requirements

• Ability to build machine learning models from the ground up (Python/R)

• Deep learning models for drive failure predictions and driver recommendations

• NLP on tech agent comments for fault resolution prediction

• Machine learning models (non-linear regression, clustering) for long term demand forecast

• Neural Networks (LSTM) application on service parts demand forecast

• Dynamic pooling optimization (Stochastic optimization) applications on the USA warehouse network

• Machine learning applications on the supply chain reverse logistics (predictive repairs)