Data Scientist (ML/AI)

TL;DR

Senior Data Scientist (ML/AI): Driving performance improvements and cost efficiencies in products through a deep understanding of machine learning and infrastructure systems with an accent on data-driven insights, simulations, experimentation, and end-to-end ML deployment. Focus on optimizing ML models at scale for performance, reliability, and cost efficiency in real-world production systems.

Location: Hybrid in Noida, Uttar Pradesh, India

Company

hirify.global is a fast-growing data product company founded in early 2020, working primarily with Fortune 500 clients, designing and delivering cutting-edge digital and data-driven solutions.

What you will do

• Analyze large datasets 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.
• Collaborate 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, with the ability to present technical results to non-technical audiences.
• Deep understanding of machine learning algorithms, from classical methods to advanced techniques like gradient boosting (XGBoost, LightGBM, CatBoost) and transformer-based architectures (BERT).
• Proficiency in Python or R, and data manipulation tools/libraries such as Pandas and SQL.

Nice to have

• 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.

Culture & Benefits

• Competitive salary.
• Strong insurance package.
• Extensive learning and development resources.
• Focus on employee growth.