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Stonewall Collision & Auto Painting
Telangana, India (On-site)

Data Scientist

1 Year ago • 3-5 Years

Job Description

This Data Scientist role requires 3-5 years of experience in Big Data, Business Intelligence, Data warehousing, Artificial Intelligence, and Machine Learning. Responsibilities include designing and deploying analytical systems end-to-end, utilizing machine learning algorithms (classification, clustering, association, recommendation generation), and working with various data science platforms (RapidMiner, Spark, SAS, IBM). Strong programming skills (R, Python, or Java) and experience with BI tools (Tableau, Oracle, IBM, Microsoft), NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server), and cloud computing frameworks (AWS, Azure) are essential. The role involves delivering production-grade solutions to end customers. Strong problem-solving and communication skills are also crucial.
Good To Have:
  • Experience with NLP toolkits and deep learning frameworks
  • Familiarity with cloud computing (AWS, Azure)
Must Have:
  • 3-5 years Big Data/AI/ML experience
  • Production-grade solution deployment
  • Proficiency in R/Python/Java
  • Experience with BI & Data Science tools
  • Machine learning algorithm expertise
  • Excellent problem-solving skills

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About the job

  • A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters)
  • Total of 3-5 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 Rapid Miner, Spark,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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