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Senior Data Analyst

Job Description

Job Title: Senior Data Analyst  
Location: NJ
Travel/Relocation/Remote: Remote till covid stabilizes
 

8 years of experience in building and productizing machine learning models using both supervised and unsupervised approaches 5 years of experience in Graph database s preferably Neo4j TigerGraph Bloom Neo4j ETL and Cypher Mastering level Proficiency with hands on experience working on Python PySpark familiarity with Java Javascript or Scala Proficiency in integrating production grade Python applications with REST endpoints and Graph DB engines Hands on experience with Graph Query languages like CQL Gremlin etc Ability to build performant graphs with several thousand nodes manage hierarchical data and manage Cypher query optimization Experience working with modern machine learning libraries such as SKLearn Pandas Numpy PyTorch Keras TensorFlow nltk PySpark etc Experience with Neo4j and at least one other NoSQL like Graph DB Tiger Graph Cambridge Semantics Cosmos DB AWS Neptune Janus Graph Apache Jena BlazeGraph and relational databases Excellent client facing skills including working with both technical and non technical customers to define requirements approaches and acceptance criteria Expertise in graph driven data science applications such as graph based feature engineering graph embeddings or graph neural networks Familiarity with NLP approaches including entity recognition ontology management and topic modelling Should have implemented 1 2 large scale implementations using Neo4j Strong SQL and higher level programming languages with solid knowledge of data mining machine learning algorithms and tools Experience in uncovering insights deploying state of the art algorithms and building practical solutions on massive user and product data by building a knowledge graph and its supporting infrastructure Knowledge of building various graphs and graph machine learning models applications to serve various business purposes such as fraud detection credit scoring user profiling listing information mining etc Experience in analysing massive data and conducting feature engineering by large scale data mining Hands on exposure on setting up data pipelines and building reliable datasets with a graph database Experience on developing and maintaining the in house knowledge graph platform to serve various business teams Exposure on researching state of the art techniques in graph neural networks to solve challenging problems Excellent client facing skills and ability to engage with technical and business stakeholders Good communication skills verbal written Experience working with Microservices orchestration using Zee Be Camunda Define workflows graphically in BPMN 2 0 Build workflows that react to events from Apache Kafka and other messaging platforms Use a SaaS offering or deploy with Docker and Kubernetes in the cloud or on premises Scale horizontally to handle very high throughput and Low Latency traffic Cloud experience with atleast 1 cloud provider AWS GCP or Azure Rely on High availability Resiliency automatic fail over fault tolerance and high availability for workflows Export workflow data for monitoring and analysis and Domain expertise in at least one of Financial Services Banking Capital Markets Insurance Healthcare Thorough understanding of Asset based both buy side Sell side functional and data decomposition is a must for this position Experience working with big data frameworks such as Hadoop or Spark Bachelor Masters or PhD in Computer Science Mathematics Statistics or other quantitative fields or equivalent experience in an appropriate area of specialization Computer Science or Information Systems Data management and data architecture related certifications i e Neo4j is a plus 
 
 Required Qualifications 
•    Batcheler’s degree 
•    8+Years of experience 

Disclaimer

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.  
Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law  
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.  

Ref:  1012581
Posted on:  Nov 11, 2021
Experience level:  Experienced (non-manager)
Contract Type:  Permanent Full Time
Location: 

New Jersey, NJ, US

Department:  Financial Services


Nearest Major Market: New York City
Nearest Secondary Market: Newark

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