Job Description
Job Title:
Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning
Location:
Remote (India)
Job Type:
Full-time
Experience:
5+ Years
Job Summary:
We are looking for a highly skilled
Senior Data Scientist
to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.
You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like Sage Maker, Bedrock, Py Torch, Tensor Flow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.
Key Responsibilities:
Predictive Modeling & Machine Learning
• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS Sage Maker, Bedrock, LLMs, Tensor Flow, and Py Torch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.
Data Engineering & Cloud Computing
• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.
Python Programming
• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, Tensor Flow, and Py Torch.
• Maintain documentation and ensure best coding practices.
Collaboration & Communication
• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.
Preferred Experience (Nice to Have):
• Experience with applications in the
utility industry
(e.g., demand forecasting, asset optimization).
• Exposure to
Generative AI
technologies.
• Familiarity with
geospatial data and GIS tools
for predictive analytics.
Qualifications:
• Master’s or Ph. D. in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).
Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning
Location:
Remote (India)
Job Type:
Full-time
Experience:
5+ Years
Job Summary:
We are looking for a highly skilled
Senior Data Scientist
to join our India-based team in a remote capacity. This role focuses on building and deploying advanced predictive models to influence key business decisions. The ideal candidate should have strong experience in machine learning, data engineering, and working in cloud environments, particularly with AWS.
You'll be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like Sage Maker, Bedrock, Py Torch, Tensor Flow, Jupyter Notebooks, and AWS Glue. This is a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.
Key Responsibilities:
Predictive Modeling & Machine Learning
• Develop and deploy machine learning models for forecasting, optimization, and predictive analytics.
• Use tools such as AWS Sage Maker, Bedrock, LLMs, Tensor Flow, and Py Torch for model training and deployment.
• Perform model validation, tuning, and performance monitoring.
• Deliver actionable insights from complex datasets to support strategic decision-making.
Data Engineering & Cloud Computing
• Design scalable and secure ETL pipelines using AWS Glue.
• Manage and optimize data infrastructure in the AWS environment.
• Ensure high data integrity and availability across the pipeline.
• Integrate AWS services to support the end-to-end machine learning lifecycle.
Python Programming
• Write efficient, reusable Python code for data processing and model development.
• Work with libraries like pandas, scikit-learn, Tensor Flow, and Py Torch.
• Maintain documentation and ensure best coding practices.
Collaboration & Communication
• Work with engineering, analytics, and business teams to understand and solve business challenges.
• Present complex models and insights to both technical and non-technical stakeholders.
• Participate in sprint planning, stand-ups, and reviews in an Agile setup.
Preferred Experience (Nice to Have):
• Experience with applications in the
utility industry
(e.g., demand forecasting, asset optimization).
• Exposure to
Generative AI
technologies.
• Familiarity with
geospatial data and GIS tools
for predictive analytics.
Qualifications:
• Master’s or Ph. D. in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).
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