Job Description

Experience:

8 Years

Location:

Bangalore, India

About the Role

We are seeking an accomplished

Data Scientist

to join our analytics team in Bangalore. The ideal candidate brings deep expertise across statistical modeling, machine learning, deep learning, and big data technologies. In this role, you will collaborate closely with stakeholders, engineers, and analysts to design data-driven solutions that improve decision-making, optimize operations, and drive innovation across the organization. You will play a key role in building scalable models, deploying AI solutions, and shaping the future of our data ecosystem.

Key Skills & Technologies

Programming:

Python, R, SQL

ML/DL:

Machine Learning, Deep Learning, NLP, TensorFlow, PyTorch, Scikit-learn

Data Processing:

Pandas, NumPy, Feature Engineering, Data Cleaning

Visualization:

Power BI, Tableau, Matplotlib, Seaborn

Big Data:

Spark, Hadoop

Model Deployment:

Flask, FastAPI, Streamlit, Docker

Cloud:

AWS, Azure, GCP

Statistics & Analytics:

Advanced statistical modeling, EDA, hypothesis testing

Roles & Responsibilities

Collect, clean, and preprocess structured and unstructured datasets from diverse sources. Build predictive and prescriptive models using advanced statistical and machine learning techniques. Develop, operationalize, and deploy machine learning pipelines in production environments. Conduct exploratory data analysis (EDA) to identify patterns, insights, and growth opportunities. Present findings through interactive dashboards, visualizations, and business-friendly reports. Collaborate with data engineers, analysts, and business teams to convert real-world challenges into analytical use cases. Evaluate, validate, and tune machine learning models for optimal performance and scalability. Stay current with emerging trends in AI/ML, big data, and modern data science practices.

Technical Environment

Programming:

Python, R, SQL

ML/DL Frameworks:

TensorFlow, Keras, PyTorch, Scikit-learn

Data Tools:

Pandas, NumPy, Spark, Hadoop

Visualization Tools:

Power BI, Tableau, Matplotlib, Seaborn

Deployment:

Flask, FastAPI, Docker

Cloud Platforms:

AWS SageMaker, Azure ML, Google AI Platform

Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field. Minimum

8 years of professional experience

in data science, analytics, or AI-driven development. Strong understanding of machine learning algorithms, statistical modeling, and end-to-end data pipelines. Experience with deploying ML models and familiarity with

MLOps

practices. Excellent communication, data storytelling, and stakeholder management skills.

Nice to Have

Experience in NLP, Computer Vision, or Generative AI. Familiarity with AutoML platforms and advanced statistical techniques. Knowledge of DevOps principles and CI/CD pipelines for data workflows.
Job Type: Full-time

Pay: ?900,000.00 - ?1,200,000.00 per year

Work Location: In person