Roles and Responsibilities:

• Conduct predictive analysis to identify trends, patterns, and insights from large data sets.
• Develop and implement machine learning models and algorithms for predictive analytics.
• Collaborate with cross-functional teams to integrate data-driven solutions into business processes.
• Utilize statistical methods to analyze and interpret complex data sets.
• Communicate findings and insights to stakeholders through data visualization and storytelling.
• Stay updated with the latest advancements in artificial intelligence and predictive analytics.
• Designing and implementing machine learning pipelines using technologies such as Kubeflow and ML flow
• Utilizing Kubernetes, Docker, and containerization to deploy and manage AI applications
• Developing and optimizing data connectors and SDks for seamless data integration
• Building and maintaining CI/CD pipelines for efficient software delivery
• Working with Kafka for real-time data streaming

Experience:

3-5 years of experience in the development & deployment of enterprise level Data Science & AI Solutions.

Education Qualification:

Bachelor’s or master’s degree in computer science, Data Science, Statistics, or a related field.

Certification Required:

Professional certifications in Data Science, Machine Learning, or Predictive Analytics are preferred.

Behavioral Skills:

• Analytical mindset with a keen attention to detail.
• Strong problem-solving and critical thinking abilities.
• Excellent communication and collaboration skills.
• Ability to thrive in a fast-paced and dynamic work environment.

Technical Skills:

• Proficiency in programming languages such as Python, R, or Java.
• Experience with machine learning frameworks & deployment tools such as Kubernetes, Docker & Containers etc.
• Advanced knowledge of statistical analysis and data modeling techniques.
• Expertise in data visualization tools such as Tableau, Power BI, or Matplotlib.
• Familiarity with big data platforms like Hadoop, Spark, or Apache Flink.

Non-Negotiable Skills:

• Machine Learning techniques
• Programming Language such as Python, R or Java
• Cloud Experience

Conclusion:

Joining Adani means becoming part of a global organization that values innovation, collaboration, and continuous learning. As a Data Scientist, you will have the opportunity to contribute to meaningful projects and drive impact through your expertise in predictive analytics and artificial intelligence. We are committed to creating an inclusive and diverse work environment where your skills and ideas are valued. If you are passionate about leveraging data to solve complex challenges, we invite you to join our team and make a difference at Adani.