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Lead Data Scientist

Stonewall Collision & Auto Painting

Telangana, India (On-site)

Lead Data Scientist

2 Months ago • 8-12 Years • Artificial Intelligence • Data Analyst

About the job

15 skills required for this role

Test your 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

Lead Data Scientist responsible for designing and deploying analytical systems end-to-end. Requires 8-12 years of experience in Big Data, Business Intelligence, Data Warehousing, AI, and Machine Learning. Experience with production-grade solutions for end customers is crucial. Strong programming skills (R, Python, or Java) and familiarity with various data science platforms (RapidMiner, SAS, IBM) are essential. Expertise in machine learning algorithms, statistical inference, and BI tools (Tableau, Oracle, etc.) is required. Experience with NoSQL (MongoDB, Cassandra, Hadoop, Spark), RDBMS (Oracle, SQL Server), and cloud computing frameworks (AWS, Azure) is also needed.

Must have:

8-12 years Big Data/AI/ML experience
Production-grade solution deployment
R/Python/Java programming skills
Machine learning algorithm expertise
BI & Data Science platform experience
Cloud computing (AWS/Azure) knowledge

Good to have:

NLP toolkits and deep learning frameworks
Experience with specific NoSQL and RDBMS tools

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About the job

A Computer Science Degree (Bachelors or Masters), Mathematics or Statistics (Masters)

Total of 8-12 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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