Data Science Senior Consultant - Dallas

Job Description - Data Science Senior Consultant - Dallas (051900)

Data Science Senior Consultant - Dallas

As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries, including Media & Entertainment, High Tech, Automotive, Consumer Products & Retail, Industrial Products, Manufacturing, Telecom, Aerospace & Defense, and Energy & Utilities.

The AI & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the AI & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the AI & Analytics practice group at Capgemini is the best place to grow your career.

• Work in a collaborative environment with global teams to drive client engagements in a broad range of industries to design and build scalable AI and Machine Learning solutions to solve business problems and create value by leveraging client data
• Work with team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives
• Collaborate with team to provide data-driven recommendations and solutions to clients by clearly articulating complex technical concepts through generation and delivery of presentations
• Analyze and model both structured and unstructured data to generate value using R and Python
• 6+ years professional work experience as a data scientist or on advanced analytics / statistics projects with 5+ years’ experience in one of the following sectors:
  Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities
• 5+ years of work experience including Data Science, customer relationship management (or project management), and sales (RFPs, RFIs, Presentations etc.)
• Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field using R and Python
• Graph Theory work, potentially NEO4J
• Experience with Deep Learning methods in NLP & Computer Vision, Sentiment analysis, topic modeling and graph theory and databases
• Experience with common data science tools such as Python, R, Pytorch, Tensor Flow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modelling platforms (Azure AutoML, Sage Maker, Data Bricks, Data Robot and H2O.ai)
• Delivery/Solution should be in the Cloud Space (AWS, Azure). Solution Architect Experience.
• Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
• Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

• (Includes Data Modeler, Data Miner.) Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables). Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms.

• You Supervise, mentor, guide other data analysts. Represent data analyst team in project team meetings.
• Qualifications:
  
  6-8 years (2 years min relevant experience in the role) experience, Bachelor’s Degree.
• Must have experience in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.
• Should be proficient in…