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Data Scientist Senior Consultant – Capgemini AI & Analytics Team
Company: Capgemini
Location: New York, NY
Employment Type: Full Time
Date Posted: 06/25/2020
Expire Date: 08/25/2020
Job Categories: Consulting Services
Job Description
Data Scientist Senior Consultant – Capgemini AI & Analytics Team
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. 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

Role & 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 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
• Use industry expertise and data science experience to uncover new opportunities with clients’ data
• Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility
• Design and build scalable machine learning models to meet the needs of given client engagement
• Assist with the mentorship and development of consultants
• Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts
Qualifications & Requirements
• 3-5 years professional work experience as a data scientist or on advanced analytics/statistics projects
• Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field
• Excellent team-oriented and interpersonal skills, with a strong interest for consulting
• Outstanding communication skills with the ability to clearly articulate findings and present solutions to business partners
• Strong understanding and application of statistical methods and skills: distributions, variance and correlation analysis, A/B testing, and regression
• Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, Clustering, Linear Regression
• Solid coding skills in at least one language, preferably Python or R
• Experience with common data science packages (python: scikit-learn, matplotlib, pandas, numpy…// R: CARET, xgboost, gbm, ggplot, plotly, dply) or platforms (Azure AutoML, SageMaker, H2O.ai)
• Experience working with databases (SQL, Hive, MongoDB)
Preferred Qualifications
• Deep Learning experience (NLP/Computer Vision): experience using Pytorch, Tensorfllow or Keras
• Experience working with big data distributed programming languages, and ecosystems: Spark, Hadoop, MapReduce, Pig, Kafka
• Familiarity with Cloud-based environments such as AWS (S3/EC2), Azure, Google Cloud
• Knowledge of other coding languages such as Java, Matlab, SAS, C++
• Experience with NLP, sentiment analysis, topic modelling
• Graph Theory and Graph databases (Neo4j)
• Experience Skilled with building and deploying predictive models and experience building
Contact Information
Contact Name: Lynn V Hodak
Contact Email: lynn.hodak@capgemini.com
Website: www.capgemini.com...
Company Description:
Capgemini is a global consulting firm with over 200,000 employees working in over 40 countries and 6 continents. With its over 50 years of history. Capgemini has been awarded they have been recognized for being the World's most Ethical Company by ethispere.com and awards by the National Minority Supplier Development Council
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