Lead Analytics - Data Scientist
Discipline : Business Operations
Industry : Business Analysis
Job Description :
- We are looking for Big Data scientist with 4 to 7 years of experience in open source projects like Apache Hadoop, Spark-MLlib, H2O and Mahout to become part of our Analytics Team.
- Candidate should have a demonstrated understanding of Machine Learning algorithms. Should have hands on machine learning on Big Data using H2O, Spark-MLlib, Mahout or RevoScaleR packages.
- Candidates should be able to pick up one or more new frameworks in short notice as well as react to evolving technology landscape.
Responsibilities :
- Build distributed, scalable, and reliable data pipelines that ingest, process and analyze data at scale and in real-time.
- Perform offline/online analysis of large data sets using components from the Hadoop ecosystem.
- Involve in big data technologies and prototype solutions to improve our data processing and analytics architecture.
Skills Required :
- Programming language, R, Python, Java- Machine Learning Algorithms & Linear & Logistic Regression, Time Series analysis, Support Vector Machine, K-Means clustering, K-Nearest Neighbors, Decision Trees, Random Forest, Na- ve Bayes, PCA, SVD, Artificial Neural Networks, Association Rules, Genetic Algorithm, Optimization, Bagging and Boosting algorithms etc & hellip
- Batch processing,Hadoop MapReduce, Cascading/Scalding, Apache Spark- Apache Spark Stack & MLlib, Spark SQL, GraphX, Spark Streaming, SparkR,Stream processing,Apache Storm, Spark streaming, NoSQL,HBase, MongoDB, MarkLogic etc & hellip
- Excellent communication and decision making skills are essential.
- Strong analytical, problem solving and decision-making skills.
- Identify project issues, communicate them and assist in their resolution.
- Assist in continuous improvement efforts in enhancing project team methodology and performance.
- Cooperative and team focused attitude
No. of Openings : 2
Qualification/Candidate Profile :
- BE/B. Tech/MS in Computer Science or related area
- Around 4 -7 years of Data Science experience
- Minimum 3 Years of experience on Big Data Platform especially on Apache Spark
- Proficient in R, Python, H2O, Mahout, Spark-MLlib, Databases and Visualization tools etc.
- Understanding for data, schema, data model, machine learning and how to bring efficiency in big data related life cycle
- Proficiency with agile or lean development practices
- Strong object-oriented design and analysis skills
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