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Senior Data Scientist

Stonewall Collision & Auto Painting

Andhra Pradesh, India (On-site)

Senior Data Scientist

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

About the job

15 skills required for this role

Add these skills to join the top 1% applicants for this job

data-science

python

oracle

java

tensorflow

algorithms

cassandra

microsoft-azure

mongodb

spark

deep-learning

azure

nosql

aws

keras

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)

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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