Data Science Manager

2 weeks ago

India Newpage Solutions Full time

About the Company

NewPage is a digital health solutions company. We devote ourselves to advancing the quality of life by enhancing the health and optimizing the longevity of people. We do this by, passionately building futuristic technologies for global organizations across the healthcare ecosystem. We partake at every stage from problem definition, strategy & service design, user research, UX design, and agile software development – utilizing lean practices to deliver and validate highly innovative digital health solutions that drive user value and business transformation. NewPage is recognized by ‘CIO’s Review’ as “Top 50 Promising Healthcare Solution Providers” and “Great Place to Work Certified (GPTW) 2023 and 2024.”


About the Role

We are looking for a Data Scientist at the Manager level who is passionate about building cutting-edge machine learning solutions and capable of leading projects in a collaborative environment. The ideal candidate should have a solid background in Python, machine learning, distributed computing, and strong problem-solving abilities. This role involves working closely with teams across different functions, including data engineering, brand teams, and management.


Responsibilities

  • Develop and implement scalable machine learning models and algorithms to solve complex problems.
  • Collaborate with peers for code reviews and contribute to problem-solving sessions.
  • Communicate technical concepts to non-technical audiences, including management and brand teams.
  • Work with distributed computing frameworks such as Snowpark and PySpark for large-scale data processing.
  • Design and implement ML solutions for tasks like recommender systems, handling highly imbalanced datasets, and bias mitigation techniques such as K-fold and leave-one-out cross-validation.
  • Lead end-to-end development of machine learning models, from linear/logistic regression to advanced deep learning methods.
  • Use MLOps frameworks to streamline model tracking, deployment, and pipeline automation.


Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
  • 5+ years of experience in data science, machine learning, or a related role.
  • Strong Python programming skills and familiarity with machine learning libraries like sklearn and deep learning frameworks.
  • Demonstrated experience with distributed computing frameworks, including Snowpark and PySpark.
  • Proven track record of working with imbalanced datasets and expertise in model tuning techniques.
  • Experience in implementing MLOps frameworks for model tracking and deployment.
  • Strong software engineering background with experience in good software design practices.
  • Nice to have: History of deploying ML models, handling model performance over time, and diagnosing data/model drift.
  • Familiarity with data science platforms like Dataiku or other ML-enabling tools (e.g., SageMaker).
  • Familiarity with time-wise tracking of model performance, and diagnosis of data/model drift.

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