Data Scientist

1 day ago

Noida, Uttar Pradesh, India ShyftLabs Full time ₹ 20,00,000 - ₹ 25,00,000 per year

About ShyftLabs

ShyftLabs is a fast-growing data product company founded in early 2020, working primarily with Fortune 500 clients. We design and deliver cutting-edge digital and data-driven solutions that help businesses accelerate growth, improve decision-making, and create measurable value through innovation.

Position Overview

We are seeking an experienced Data Scientist who can drive performance improvements and cost efficiencies in our products through a deep understanding of machine learning (ML) and infrastructure systems. In this role, you'll provide data-driven insights and scientific solutions that directly influence our product strategy and business outcomes.

Key Responsibilities
  • Data Analysis & Research: Analyze large datasets using queries and scripts to extract meaningful insights and identify opportunities for improving complex ML and bidding systems.
  • Simulation & Modelling: Design and execute simulations to validate hypotheses, quantify efficiency gains, and model system performance.
  • Experimentation & Causal Inference: Develop robust experiment designs and metric frameworks to deliver unbiased, data-backed insights for product and business decisions.
  • End-to-End ML Deployment: Build, train, and deploy ML models into production environments, managing the full lifecycle including versioning, monitoring, and retraining.
  • Scalability & Performance Optimization: Operationalize ML models at scale, optimizing for performance, reliability, and cost efficiency in real-world production systems.
  • Cross-Functional Collaboration: Work closely with product, engineering, and data teams to translate business problems into analytical solutions.
Key Qualifications
  • 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).
Preferred Skills
  • Experience with cloud platforms (GCP, AWS, or Azure).
  • Familiarity with MLOps frameworks for deployment, monitoring, and automation.
  • Exposure to big data tools (e.g., Spark, BigQuery).
  • Understanding of A/B testing, experimentation frameworks, and causal inference techniques.

We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.

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