[Hiring] Associate (Analytics) @Zenon Analytics Private limited

Role Description

An Associate (Analytics) at Zenon Analytics is responsible for analysing data and deriving actionable insights for timely decision making by our clients. A person in this role will be responsible for:

• Client engagements and understanding client requirements
• Problem structuring and extracting requisite data
• Performing extensive data analyses
• Building statistical & predictive models

They will work closely with highly experienced leaders in designing, developing and implementing cutting-edge analytics solutions for a variety of business problems.

What will you do?

• Engage with clients to understand their business needs from an analytical standpoint and define the problem statement(s)
• Understand the data requirements to solve the problem and perform exhaustive exploratory analyses
• Build statistical and/or predictive models on the data to assist in better business decision making
• Test the performance of the models and deploy them into production by closely working with the client teams
• Prepare client deliverables and engage with clients to discuss results and recommendations
• Be passionate about applying analytics to real-world business situations and producing measurable improvements for clients
• Be comfortable with ambiguity and enjoy the challenge of creating new solutions for difficult Big Data problems
• Bring in analytical expertise to assist with Business Development proposals

Qualifications

• Strong academic background, preferably from Tier I institutes with a major in Engineering/Mathematics/Statistics
• Self-driven, with the ability to work in a fast-paced, dynamic environment
• 3-6 years of experience in putting ML models into production
• Analytical thinker with strong problem structuring and solving abilities
• Ability to work in a systematic manner with focus on quality of work and efficiency
• Strong communication skills

Requirements

• Hands-on experience in Python, R, SQL
• Knowledge of building traditional and advanced ML models for structured and unstructured data and putting models into production
• Expertise in one of API frameworks like FastAPI, Flask etc.
• Deep hands-on experience with one or more of the following Cloud and AI technologies: Cloud-native architectures (Containers, Kubernetes, Serverless), DataOps, MLOps (Kubeflow, Ray), Tightly-coupled and Loosely-coupled HPC frameworks, Deep Learning, ML Frameworks (PyTorch, TensorFlow)
• Knowledge of infrastructure stacks at least one (AWS, Azure, GCP, Docker, Kubernetes, Kafka, Spark, etc.)
• Experience in agile development, utilizing Git, MLFlow CI/CD, and MLOps frameworks
• Ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc.
• Model Management, MLOps, Model Deployment approaches, Model monitoring and tuning with respect to at least one of the major cloud providers
• Hands-on working experience on at least one of the MLOps Platform like AWS Sagemaker, Dataiku, Data Robot etc.
• Knowledge to design a solution approach, leading a team to deploy and maintain it in production

Benefits

• Good to have experience in Financial services or Healthcare industry
• Experience in UiPath AI Fabric
• Worked on Cloud AWS
• Experience in big data Hadoop, Teradata
• PySpark exposure