Manager Overview: The Data Science & Analytics practice group at Capgemini is expanding its footprint\u2026rapidly. 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 ranging from Media & Entertainment to Life Sciences and everywhere in-between. Our team has worked with geospatial data, on social media sentiment analysis, built recommendation systems, created image classification algorithms, solved large-scale optimization problems, and harnessed the massive influx of data generated by the IoT. The Data Science & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the Data Science & 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 Data Science & Analytics practice group at Capgemini is the best place to grow your career.Data Science Managing Consultant\/ Senior Managing Consultant Job Description Role & Responsibilities: \u2022\u00a0Quickly understand client needs, develop solutions, and articulate findings to client executives. \u2022\u00a0Provide data-driven recommendations to clients by clearly articulating complex technical concepts through generation and delivery of presentations. \u2022\u00a0Analyze and model both structured and unstructured data from a number of distributed client and publicly available sources. \u2022\u00a0Perform EDA and feature engineering to both inform the development of statistical models and generate improve model performance and flexibility. \u2022\u00a0Design and build scalable machine learning models to meet the needs of given client engagement. \u2022\u00a0Collaborate with client managers to identify business use cases and develop solutions in driving impact through data science and analytics, communicate results, and inform practice group through reports and presentations. \u2022\u00a0Develop, enhance, and maintain client relations while ensuring client satisfaction. Requirements \u2022\u00a0Master\u2019s degree from top tier college\/university in Computer Science, Statistics, Economics, Physics, Engineering, Mathematics, or other closely related field. \u2022\u00a0Strong understanding and application of statistical methods and skills: distributions, experimental design, variance analysis, A\/B testing, and regression. \u2022\u00a0Statistical emphasis on data mining techniques, Bayesian Networks Inference, CHAID, CART, association rule, linear and non-linear regression, hierarchical mixed models\/multi-level modeling, and ability to answer questions about underlying algorithms and processes. \u2022\u00a0Mastery of statistical software, scripting languages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn, Caffe, SAP Predictive Analytics, KXEN, ect.). \u2022\u00a0Knowledge of or experience working with database systems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.) \u2022\u00a0Experience working with big data distributed programming languages, and ecosystems (e.g. S3, EC2, Hadoop\/MapReduce, Pig, Hive, Spark, SAP HANA, ect.) \u2022\u00a0Expertise in machine learning algorithms and experience using the following ML techniques: Logistic Regression, Decision Trees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans, Clustering, NMF). \u2022\u00a0Preferred experience with NLP, Graph Theory, Neural Networks (RNNs\/CNNs), sentiment analysis, and Azure ML.. \u2022\u00a0Experience building scalable data pipelines and with data engineering\/ feature engineering. \u2022\u00a0Preferred experience with web-scrapping. \u2022\u00a0Experience building and deploying predictive models. \u2022\u00a0Expertise using PowerPoint and clearly articulating findings\/ presenting solutions. \u2022\u00a0Excellent team-oriented interpersonal skills and demonstrated leadership. \u2022\u00a0Proven track record delivering successful data science projects and working #LI-LH27 Applicants for employment in the US must have valid work authorization that does not now require sponsorship of a visa for employment authorization in the US by Capgemini. Qualifications (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 are responsible for data related activities such as data extraction, profiling, cleansing, de-duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting. Responsible for all activities required to ensure optimum performance and data integrity of databases in production environments, in line with the requirements. Responsible for server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design. \u2022 Qualifications: 3-9 years experience, Bachelor\u2019s Degree. \u2022 Should be proficient in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management. \u2022 Should have progressing skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution 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. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and\/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients\u2019 opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion (about $14.4 billion USD at 2017 average rate). Job :Programmer\/Analyst Schedule :Full-time Organization :I and D US
Website : http://www.capgemini.com
Capgemini is one of the world's foremost providers of consulting, technology and outsourcing services. Present in 44 countries with more than 125,000 employees, the Capgemini Group helps its clients transform in order to improve their performance and competitive positioning.