Data Scientist Consultant - New York

Job Description - Data Scientist Consultant - New York (052894)

The AI & Analytics practice group at Capgemini is expanding its footprint rapidly. 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.

Responsibilities

• 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 the team to quickly understand client needs, develop solutions, and collaboratively present findings to client executives.
• Collaborate with the 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.
• Design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms.
• Responsible for data extraction, profiling, cleansing, de‑duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting.
• Ensure optimum performance and data integrity of databases in production environments, and conduct database software installation, creation, performance and capacity design, backup and recovery design, and security design.

Qualifications

• 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.
• Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or a closely related field using R and Python.
• Experience with 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 H2O.ai).
• Delivery/Solution should be in the Cloud Space (AWS, Azure). Solution Architect Experience.
• Flexible and willing to work across the delivery landscape, which includes Agile Applications Development, Support and Deployment.
• Applicants must have valid work authorization in the US that does not now and/or will not in the future require sponsorship of a visa.
• 2-5 years (1 year min relevant experience in the role) and Bachelor’s Degree.
• Proficiency in Software Engineering Techniques, Architecture, Lifecycle, and Data Management.
• Progressing skills in Business Analysis, Business Knowledge, Architecture Knowledge and Technical Solution Design.

Required Skills and Experience

• Data extraction, profiling, cleansing, de‑duplication, standardization, conversion, transformation and loading.
• Data mining, warehousing, archiving and reporting.
• Server‑based databases in development and test environments.
• Database software installation, database creation, performance and capacity design, backup and recovery design, and security design.

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

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