Data Scientist
PaladinTech
- Chandigarh
- Permanent
- Full-time
- 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.
- 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). S
- 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.