Data scientist -specialist

• Work on AI-led product development, especially in the Storage Management Software domain
• Design, develop, and deploy machine learning models for numeric/metric data
• Perform exploratory data analysis (EDA) and build predictive models using large-scale datasets
• Develop and maintain applications in Python or Scala for model implementation
• Utilize DevOps tools like Docker and Kubernetes for deployment of ML solutions
• Independently manipulate, analyze, and visualize data using tools such as Matplotlib, Ggplot, and Plotly
• Apply advanced statistical techniques like regression, statistical testing, and distribution analysis
• Implement machine learning algorithms including Clustering, Decision Trees, Random Forests, and Artificial Neural Networks
• Use ML platforms such as Jupyter Notebooks, RStudio, or Zeppelin for model development
• Train models on Big Data using Apache Spark over data lakes such as S3, HDFS, or NFS
• Optional but preferred: Exposure to deep learning frameworks such as TensorFlow or Keras
• Work with time-series or non-relational databases like Cassandra or TimescaleDB
• Demonstrate adaptability in problem-solving with an ability to explore multiple solution approaches

Education Qualifications:

BE/MS in Computer Science from tier-1 institutions (IIT/NIT preferred)