Description
This role is for one of the Weekday's clients
Salary range: Rs 2000000 - Rs 6000000 (ie INR 20-60 LPA)

Experience: 4+ yrs
Location: Noida, Uttar Pradesh, India
Job Type: Full time

We are looking for an experienced Data Scientist who is passionate about transforming complex data into actionable business insights through advanced analytics, statistical modeling, and machine learning. This role is ideal for professionals who enjoy solving real-world problems using data, building predictive models, and influencing strategic product decisions through evidence-based recommendations.
As a Data Scientist, you will analyze large-scale datasets, develop predictive models, and design data-driven experiments that improve business outcomes and user experiences. You will collaborate closely with product, engineering, analytics, and business stakeholders to uncover meaningful insights, validate hypotheses, and build scalable machine learning solutions. This position requires a strong foundation in statistics, predictive analytics, data engineering concepts, and model deployment,



along with the ability to communicate technical findings effectively to both technical and non-technical audiences.

Requirements
Key Responsibilities
- Develop predictive models to forecast business outcomes, user behavior, trends, and performance using statistical and machine learning techniques.
- Analyze large-scale structured and unstructured datasets to identify patterns, opportunities, and actionable insights.
- Design, execute, and evaluate A/B experiments using sound statistical methodologies and business-focused success metrics.
- Build end-to-end machine learning solutions, from exploratory data analysis and feature engineering to model development, validation, deployment, and monitoring.
- Perform data preprocessing, cleaning, transformation, and feature engineering to improve model accuracy and performance.
- Collaborate with engineering teams to develop scalable data pipelines a

📌 Data Scientist (Noida)
🏢 Weekday AI
📍 Noida