Location

India

Job Category

• Information Technology (IT) & Software
• IT & Software Jobs
• Science & Research
• Engineering & Technical
• Data Analytics
• Artificial Intelligence & Machine Learning
• Remote / Work-from-Home Opportunities (if applicable based on employer policy)
• Private Jobs

Job Overview

We are seeking an experienced Senior Data Scientist for a 5+ months contractual role in India. This opportunity is ideal for professionals with extensive experience in Machine Learning, Artificial Intelligence, Predictive Analytics, and large-scale data processing. The successful candidate will work on solving complex business challenges by developing scalable, production-ready data science solutions that deliver measurable business value.

As a Senior Data Scientist, you will collaborate with cross-functional teams to design, build, deploy, and optimize advanced machine learning models while supporting strategic business initiatives. This role offers an excellent opportunity for experienced professionals to contribute to innovative projects, mentor junior data scientists, and expand their expertise in cloud technologies, advanced analytics, and enterprise-scale AI solutions. Continuous professional development, technical upskilling, and exposure to modern data science practices will support long-term career growth.

Key Responsibilities

• Design, develop, and deploy scalable machine learning models for business applications.
• Build predictive analytics solutions using classification, clustering, and regression techniques.
• Perform feature engineering to improve model accuracy and performance.
• Develop, deploy, monitor, and optimize production-ready machine learning models.
• Analyze large and complex datasets to generate actionable business insights.
• Utilize Python or R and SQL for data analysis and model development.
• Work with AWS and cloud-based data platforms to build scalable analytics solutions.
• Collaborate with business stakeholders, engineering teams, and product teams.
• Mentor junior data scientists and provide technical guidance.
• Participate in Agile development processes and contribute to continuous improvement initiatives.

Requirements & Qualifications

Education

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.

Experience

• Minimum 7+ years of professional experience in Data Science or Machine Learning.
• Experience delivering enterprise-scale AI and analytics solutions.
• Experience working in Agile development environments.

Technical Skills

• Strong expertise in Machine Learning algorithms.
• Predictive Analytics.
• Classification, Clustering, and Regression.
• Python or R programming.
• SQL.
• AWS or other cloud-based data platforms.
• Feature engineering.
• Model deployment and monitoring.
• Statistical analysis.
• Large-scale data processing.

Preferred Skills

• Docker.
• Kubernetes.
• Tableau, Dash, or Shiny.
• Optimization tools such as Gurobi or CPLEX.

Soft Skills

• Strong analytical and problem-solving abilities.
• Excellent communication and collaboration skills.
• Leadership and mentoring capabilities.
• Ability to work effectively with cross-functional teams.
• Strong business understanding and stakeholder management.

Salary, Benefits & Career Growth

Benefits

• Opportunity to work on enterprise-scale Artificial Intelligence and Machine Learning projects.
• Exposure to modern cloud-based data science technologies.
• Collaborative and innovation-driven work environment.
• Opportunity to mentor junior data scientists.
• Experience working on production-grade analytics solutions.

Career Growth

• Enhance expertise in enterprise AI and advanced analytics.
• Gain experience with scalable cloud-based machine learning deployments.
• Expand technical leadership and mentoring capabilities.
• Opportunities for continuous professional development, technical training, and advanced skill development in modern data science technologies.

Application Process

Application Process (Website)

• Apply only through the official job link.
• Click Apply Now on the website.

HR Email for Application

Send your updated CV directly