Mialo - Senior Data Scientist - Time Series Analysis (6-8 yrs)

Mialo Technologies Pvt Ltd is a next-generation IT service provider based in Bengaluru, known for its unique and customized service offerings with a high degree of flexibility and scalability.

The company provides honest, simple, and buzzword-free consulting services to a wide range of clients, including top brands and hot start-ups.

With over 50 consultants serving customers in Norway, Chicago, and India, Mialo aims to help clients leverage emerging technologies to reduce costs, increase growth, and foster innovation.

Job Description :

Key Responsibilities :

- Develop and implement predictive models to support business strategies.

- Conduct time series analysis and demand forecasting to enhance planning and inventory management.

- Utilize optimization techniques, including linear and non-linear curve fitting, to improve business processes.

- Analyze price elasticity to inform pricing strategies and revenue management.

- Lead feature engineering, model development, and deployment efforts to ensure robust model performance.

- Ensure scalability of machine learning systems to handle large datasets efficiently.

- Implement price optimization strategies, dynamic pricing models, and promotion analytics.

- Collaborate with cross-functional teams to integrate models into production environments.

- Solve complex business problems by deploying models at scale and providing actionable insights.

- Monitor and evaluate model performance, making adjustments as needed to improve accuracy and effectiveness.

- A Senior MLE will also work on solving complex problems by deploying models at scale.

Must-Have Skills :

- Experience deploying models at scale using Python, PySpark, or other distributed computing environments

- Proficiency in GCP, AI Vertex, Kubernetes, Docker containers

- Experience with FastAPI/Flask for deploying models as services

- Airflow for orchestration

- Expertise in model governance, MLOps, MLFlow, and feature store concepts

Preferred Qualifications :

- Ph. degree in Mathematics, Statistics, Physics, Economics, Engineering, Computer Science, Data or Information Science, or related quantitative analytic field

- 3 years of experience performing predictive analytics at a large scale enterprise

- Experience in SQL, PySpark, Hadoop, GCP technologies

- Experience in ML Engineering framework, Feature engineering and Feature Store, MLOps, Model Management and Governance, setting up continuous learning frameworks