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 as a Data Science Senior Advisor on our Dell Technologies Service Parts (DTSP) team in Round Rock, TX to do the best work of your career and make a profound social impact.

What you’ll achieve
You will support the global planning methodology, parameters setting, development and testing. The main focus is on supporting the Dell Technologies Service Parts (DTSP) planning processes in order to improve the network configuration, demand predictability, and help us continue our journey toward autonomous planning. The DTSP 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 candidate needs to improve the predictability and find key elements hidden into the tons of data, so, we can further optimize our supply chain.

You will:

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

• Develop 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

• Develop and expand current Neural Network applications on Product lifecycle and Logistics network

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

• Mentor and assist with Capstone projects developed in conjunction with university partners

• Develop discovery analytics for operations organization using current data infrastructure

• Perform hands-on data analysis and modeling with huge data sets

• Evaluate data science models in terms of outcomes and computational performance

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

• 6+ years of Data science experience deploying models in a professional role with a Master’s degree in Data Science, Statistics, Business Analytics, Operations Research, Supply Chain, Engineering, Statistics or related field ; or 3+ years with a PhD

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

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

• Experience with time-series and NLP

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

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

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

Desirable Requirements

• Expertise in supply chain optimization techniques and analytics preferred

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

• Deep learning models  and NLP is nice to have

• Neural Networks (LSTM) application on forecast is a nice to have

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