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Hybrid Data Scientist

at ShyftLabs
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Posted 4 weeks ago

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About the role

  • Analyze large datasets using queries and scripts to extract meaningful insights and identify opportunities for improving complex ML and bidding systems.
  • Design and execute simulations to validate hypotheses, quantify efficiency gains, and model system performance.
  • Develop robust experiment designs and metric frameworks to deliver unbiased, data-backed insights for product and business decisions.
  • Build, train, and deploy ML models into production environments, managing the full lifecycle including versioning, monitoring, and retraining.
  • Operationalize ML models at scale, optimizing for performance, reliability, and cost efficiency in real-world production systems.
  • Work closely with product, engineering, and data teams to translate business problems into analytical solutions.

Requirements

  • Master’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Data Science) or equivalent experience.
  • 3+ years of professional experience in data science or applied machine learning.
  • Strong problem-solving and analytical skills, with the ability to turn complex product questions into actionable insights.
  • Excellent communication skills, both verbal and written, with the ability to present technical results to non-technical audiences.
  • Proven ability to build and maintain strong relationships with stakeholders across teams and functions.
  • Deep understanding of machine learning algorithms, from classical methods (e.g., regression, random forests, k-means) to advanced techniques (e.g., gradient boosting frameworks such as XGBoost, LightGBM, CatBoost, and transformer-based architectures like BERT or Sentence Transformers).
  • Proficiency in Python or R, and data manipulation tools/libraries such as Pandas and SQL.
  • Hands-on experience deploying models in production and managing ML lifecycle processes (monitoring, retraining, version control).

Benefits

  • Strong insurance package
  • Extensive learning and development resources

Job title

Data Scientist

Job type

Full Time

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Postgraduate Degree

Tech skills

PandasPythonSQL

Location requirements

HybridNoidaIndia

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