Senior Data Scientist

5 Months ago • 5-7 Years • Data Analyst • Artificial Intelligence

Job Summary

Job Description

Senior Data Scientist needed with 5-7 years of experience in Big Data, Business Intelligence, Data warehousing, Artificial Intelligence, and Machine Learning. Responsibilities include designing and deploying analytical systems, utilizing machine learning algorithms (classification, clustering, association, recommendation generation), and working with various tools (R, Python, Java, RapidMiner, SAS, IBM, MongoDB, Cassandra, Hadoop, Spark, Oracle, SQL Server, AWS, Azure). Strong problem-solving, communication, and programming skills are essential. Experience with statistical inference and BI tools (Tableau, Oracle, IBM, Microsoft) is required. The role involves creating production-grade solutions for end customers.
Must have:
  • 5-7 years Big Data/AI/ML experience
  • Production-grade solution deployment
  • Proficiency in R/Python/Java
  • Experience with various data science platforms
  • Strong analytical and problem-solving skills
Good to have:
  • Experience with NLP toolkits and deep learning frameworks
  • Familiarity with cloud computing frameworks (AWS, Azure)

Job Details

About the job

  • A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters)
  • Total of 5-7 years of Big Data, Business Intelligence, Data warehousing, Artificial Intelligence and Machine Learning experience
  • At least 2 years of experience in data science in rolling out production grade solutions to end customers

Technical Skills

  • Experience in designing and deploying Analytical Systems, End to end.
  • Excellent problem-solving skills
  • Strong verbal and written communication skills
  • Strong hands-on programming experience with R or Python or Java
  • Hands-on experience with any of the data science platforms such as RapidMiner, SAS and IBM
  • Sound understanding of machine learning algorithms, including classification, clustering, association and recommendation generation
  • Familiarity with Open Source Machine Learning (R, Python), NLP toolkits and deep learning frameworks (TensorFlow, Keras, H2O etc.)
  • Working experience with statistical inference
  • Experience with BI (Tableau, Oracle, IBM, Microsoft), Data Science (RapidMiner/ SAS/ IBM), NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server) tools
  • Experience using cloud computing and storage frameworks such as Amazon AWS (EC2, S3, Redshift, RDS) and Microsoft Azure Storage

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