Data Science Lead

6 days ago

Bengaluru, Karnataka, India Mialo Technologies Pvt ltd. Full time
About Mialo Technologies

Mialo Technologies Pvt Ltd is a leading IT service provider based in India. The company offers innovative and customized service offerings with high flexibility and scalability.

With honest, simple, and efficient consulting services, Mialo serves top brands and start-ups worldwide.

The company has over 50 consultants serving customers globally. Mialo aims to help clients leverage emerging technologies to reduce costs, increase growth, and foster innovation.

Job Title: Senior Data Scientist - Time Series Analysis Specialist

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 data scientist will also work on solving complex problems by deploying models at scale.

Requirements:
  • 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.D. 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.
Estimated Salary:

$120,000 - $180,000 per year

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