Data Scientist

Paladintech; Chandigarh; On-site; INR 800,000 - 1,200,000; Full time

Job summary

A technology company in Chandigarh is seeking a skilled Data Scientist with over 3 years of experience. The role involves analyzing large datasets, building machine learning models, and collaborating with teams to solve complex business challenges. Candidates should possess a degree in a relevant field and expertise in programming languages like Python or SQL. This position offers opportunities to work on impactful projects using cutting-edge technologies.

Qualifications

• 3+ years of experience in a data science role.
• Proficiency in programming languages like Python, R, or SQL.
• Strong analytical and problem-solving skills with expertise in statistical analysis.

Responsibilities

• Analyze large datasets to identify trends and actionable insights.
• Build, train, and deploy machine learning models.
• Collaborate with stakeholders to define key performance indicators.
• Conduct exploratory data analysis to understand data quality.

Skills

Data analysis

Machine learning

Statistical analysis

Python

Data visualization

Problem-solving

Communication

Education

Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics

Tools

TensorFlow

PyTorch

Scikit-learn

Tableau

Power BI

Matplotlib

AWS

GCP

Azure

Hadoop

Spark

Job description

Chandigarh, India | Posted on 10/22/2025

We are seeking a skilled and innovative Data Scientist with over 3 years of experience to join our team. In this role, you will work on deriving actionable insights from complex datasets, building predictive models, and collaborating with cross-functional teams to solve real-world problems. Your contributions will directly impact strategic decision-making and drive business success.

Key Responsibilities:

• Analyze large datasets to identify trends, patterns, and actionable insights to support business objectives.
• Build, train, and deploy machine learning models to solve problems in areas like prediction, classification, and optimization.
• Collaborate with business stakeholders to define key performance indicators (KPIs) and translate business challenges into analytical projects.
• Conduct exploratory data analysis (EDA) to understand data structures and quality issues.
• Design and implement data pipelines for preprocessing, feature engineering, and automation.
• Develop interactive dashboards and visualizations to communicate findings effectively to technical and non-technical audiences.
• Perform A/B testing and statistical analysis to validate hypotheses and measure the impact of initiatives.
• Ensure the scalability, reliability, and security of data science solutions in production.
• Stay updated with the latest trends and best practices in data science, machine learning, and AI technologies.
• Document methodologies, processes, and results to ensure knowledge sharing and reproducibility.

Requirements

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• 3+ years of experience in a data science role.
• Proficiency in programming languages such as Python, R, or SQL.
• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Strong analytical and problem‑solving skills with expertise in statistical analysis.
• Knowledge of data visualization tools (e.g., Tableau, Power BI, Matplotlib).
• Familiarity with cloud platforms like AWS, GCP, or Azure is a plus.
• Experience with big data tools and technologies (e.g., Hadoop, Spark) is an advantage.
• Excellent communication skills and the ability to explain technical concepts to non‑technical stakeholders.
• Build with Purpose: Work on impactful, high‑scale products that solve real problems using cutting‑edge technologies.
• Tech‑First Culture: Join a team where engineering is at the core — we prioritise clean code, scalability, automation, and continuous learning.
• Freedom to Innovate: You’ll have ownership from day one — with room to experiment, influence architecture, and bring your ideas to life.
• Collaborate with the Best: Work alongside passionate engineers, product thinkers, and designers who value clarity, speed, and technical excellence.