Data Scientist

Medium; Dadri; On-site; INR 10,00,000 - 20,00,000; Full time

Job summary

A growing data product company is seeking an experienced Data Scientist in Uttar Pradesh to derive insights from complex datasets. The ideal candidate will have a Master's degree and at least 3 years of experience, with strong skills in machine learning algorithms and data analysis. This role offers a competitive salary and a comprehensive insurance package, emphasizing employee growth through learning resources.

Benefits

Competitive salary

Strong insurance package

Learning and development resources

Qualifications

• Master's degree in a quantitative discipline or equivalent required.
• Min 3 years of professional experience in data science or ML.
• Ability to conduct deep analysis and generate actionable insights.

Responsibilities

• Analyze large datasets to extract valuable signals.
• Develop experiment designs and metric frameworks.
• Build, train, and deploy ML models in production.

Skills

Data analysis

Problem-solving

Machine learning algorithms

Communication skills

Programming in Python/R

Education

Master's degree in a quantitative discipline

Tools

SQL

Pandas

Job description

Position Overview

Here at ShyftLabs, we are looking for an experienced Data Scientist who can derive performance improvement and cost efficiency in our product through a deep understanding of the ML and infra system, and provide a data-driven insight and scientific solution.

ShyftLabs is a growing data product company that was founded in early 2020, and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.

Job Responsibilities

• Data Analysis and Research: Analyzing a large dataset with queries and scripts, extracting valuable signals out of noise, and producing actionable insights into how we could complete and improve a complex ML and bidding system.
• Simulation and Modelling: Validating and quantifying the efficiency and performance gain from hypotheses through rigorous simulation and modelling.
• Experimentation and Causal Inference: Developing a robust experiment design and metric framework, and providing reliable and unbiased insights for product and business decision making.

Basic Qualifications

• Master\'s degree in a quantitative discipline or equivalent.
• 3+ years minimum professional experience.
• Distinctive problem-solving skills, good at articulating product questions, pulling data from large datasets and using statistics to arrive at a recommendation.
• Excellent verbal and written communication skills, with the ability to present information and analysis results effectively.
• Ability to build positive relationships within ShyftLabs and with our stakeholders, and work effectively with cross-functional partners in a global company.
• Must have a deep understanding of ML algorithms, ranging from classical methods (e.g., regression, random forests, k-means clustering) to advanced techniques such asgradient boosting (XGBoost, LightGBM, CatBoost), neural networks, and transformer-based architectures (e.g., sentence transformers, BERT variants).
• End-to-End Deployment: Proven experience building, training, and deploying ML models from scratch into production environments, including model lifecycle management (versioning, monitoring, and retraining).
• Scalability & Performance: Hands-on experience operationalizing models at scale, optimizing for performance, reliability, and cost efficiency in real-world production systems.
• Programming: Experience with Python, R, or other scripting language, and database language (e.g., SQL) or data manipulation (e.g., Pandas).

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.