Data Science Senior Consultant - Dallas
Data Science Senior Consultant - Dallas
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1 Vacancy
Job Description
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.).
Masters 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 TensorFlow Keras NLTK Spacy or Neo4j and a good understanding of modelling platforms (Azure AutoML SageMaker DataBricks DataRobot and )
Delivery/Solution should be in the Cloud Space (AWSAzure). 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.
Required Skills and Experience:
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 Bachelors Degree.
Must have experience in Software Engineering Techniques Software Engineering Architecture Software Engineering Lifecycle and Data Management.
Should be proficient in Business Analysis Business Knowledge Software Engineering Leadership Architecture Knowledge and Technical Solution Design.
Required Experience:
Senior IC
Employment Type
Full-Time
