Data Scientist Senior Consultant – Remote NOW – NY in the future

Capgemini
Capgemini

Job Overview

 Job Description – Data Scientist Senior Consultant – Remote NOW – NY in the future (049489)Job Description Data Scientist Senior Consultant – Remote NOW – NY in the future-049489Description Senior Consultant  – Data ScientistOverview:The Data Science & Analyticspractice group at Capgemini is expanding its footprint…rapidly.  As part of the fastest growing digitalpractice 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 ofdifferent industries ranging from Media & Entertainment to Life Sciencesand everywhere in-between.  Our team hasworked with geospatial data, on social media sentiment analysis, builtrecommendation systems, created image classification algorithms, solvedlarge-scale optimization problems, and harnessed the massive influx of datagenerated by the IoT.  The Data Science & Analyticsgroup is the fastest growing digital practice at Capgemini demanding agileinnovation.  As part of the Data Science& Analytics group, you will work in a collaborative environment withinternal and client resources to understand key business goals, buildsolutions, and present findings to client executives while solving real-worldproblems. If you are passionate about solving problems in the realm ofcognitive computing, big data, and machine learning while utilizing businessacumen, statistical understanding, and technical know-how, the Data Science& Analytics practice group at Capgemini is the best place to grow yourcareer.Role & Responsibilities:Work with team to buildout data science use case (PoC) related to staffing and new assignments. Leverage machinelearning models and visualization tools.Assess current statedata science governance model and architecture and propose future state CoEmodel.Leverage machinelearning models and visualization tools.Assess current statedata science governance model and architecture and propose future state CoEmodel.Work in collaborative environment with globalteams to drive client engagements in a broad range of industries:  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.Quickly understand client needs, developsolutions, and articulate findings to client executives.Provide data-driven recommendations to clientsby clearly articulating complex technical concepts through generation anddelivery of presentations.Analyze and model both structured andunstructured data from a number of distributed client and publicly availablesources.Perform EDA and feature engineering to bothinform the development of statistical models and generate improve modelperformance and flexibility.Design and build scalable machine learningmodels to meet the needs of given client engagement.Assist with the mentorship and development ofconsultants.Assist in growing data science practice bymeeting business goals through client prospecting, responding to proposals,identifying and closing opportunities within identified client accountsQualifications Requirements:3-5 years professional work experience as a datascientist or on advanced analytics / statistics projects.  Machine LearningR/Python programmingNatural LanguageprocessingText analyticsVisualization platformsincluding Tableau and/or PowerBIAbility to generateprofessional visualizations and reporting Ability to interfacewith client SMEsAbility to understandanalytics business requirements and develop custom models and reportingExperience in consultingenvironment a plusSkills with Neo4J/Cyper  Master’s degree from top tier college/universityin Computer Science, Statistics, Economics, Physics, Engineering, Mathematics,or other closely related field.  Excellent Pythonskills- Experience with entity matching , recordlinkage and data cleansing (probabilistic distance) – Experience with blocking methods- Experience with PySparkPhDpreferred.Strong understanding and application ofstatistical methods and skills: distributions, experimental design, varianceanalysis, A/B testing, and regression.Statistical emphasis on data mining techniques,Bayesian Networks Inference, CHAID, CART, association rule, linear andnon-linear regression, hierarchical mixed models/multi-level modeling, andability to answer questions about underlying algorithms and processes.Experience with both Bayesian and frequentistmethodologies.Mastery of statistical software, scriptinglanguages, and packages (e.g. R, Matlab, SAS, Python, Pearl, Scikit-learn,Caffe, SAP Predictive Analytics, KXEN, ect.).Knowledge of or experience working with databasesystems (e.g. SQL, NoSQL, MongoDB, Postgres, ect.)Experience working with big data distributedprogramming languages, and ecosystems (e.g. S3, EC2, Hadoop/MapReduce, Pig,Hive, Spark, SAP HANA ect.)Expertise in machine learning algorithms andexperience using the following ML techniques: Logistic Regression, DecisionTrees, Random Forests, Gradient Boosting, SVMs, Time Series, KMeans,Clustering, NMF).Preferred experience with NLP, Graph Theory, NeuralNetworks (RNNs/CNNs), sentiment analysis and Azure ML.Experience building scalable data pipelines andwith data engineering/ feature engineering.Preferred experience with web-scraping.Experience building and deploying predictive models.Experience with PowerPoint and ability toclearly articulate findings and present solutions.Excellent team-oriented and interpersonalskills.Visit us at . People matter, results count. Job : Programmer/AnalystSchedule : Full-timePrimary Location : US-NY-New YorkOrganization : I&D 

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