Role Responsibilities

• Working with marketing and engineering teams to define, plan, and develop the AI enabled capability for Dell customers  

• Work with Data Engineers, HW engineers, SW developers to plan the complete life cycle for managing complex ML solutions

• Identify the data and labelling needs, work with Data Engineers and architects to develop and sustain data pipelines

• Conduct experiments to train, tune, and optimize Machine Learning / Deep Learning models

• Collaborate with engineering and operations teams in integrating and deploying ML solutions on the edge or cloud

• Translate business questions into data science use cases and provide insights using data and statistical methods.

• Tell stories using data. Advocate and execute strategies to adopt Data and Data Science in all business and technical decisions

Requirements

• Master's degree or higher in Computer Science, Statistics, Math, or other Engineering & Scientific fields with a significant quantitative component

• MS + 5 years, Ph.D. + 2 years minimum

• Strong experience with Deep Learning libraries such as Tensor Flow and Keras

• Hands on experience and knowledge of variety of modeling techniques including traditional Machine Learning and statistical modeling

• Experienced in Python, R and frequently used libraries for data science stack

• Passion for mining insights from large datasets

• Familiarity with databases and Big Data technologies (Hadoop, Hive, Spark, etc.)

• Strong communication skills and the ability to explain difficult analytical methods to technical and business stakeholders.

• Experience working in software development or other cross functional teams

Preferences

• Expertise in one core domains such as Computer Vision, Natural Language Processing, or Reinforcement Learning

• Expertise in at least one of the general-purpose programming languages such as C++, Java, C#

• Experience developing visualization and dashboard using technologies such as Python- Plotly, R – Shiny Server

• Experience building solutions on Azure cloud