Role Overview

We are looking for a Data Scientist to analyze large datasets, build predictive models, and generate actionable insights that drive business decisions. The ideal candidate should have strong analytical skills, a solid understanding of statistical techniques, and hands-on experience in machine learning.

Key Responsibilities

• Analyze structured and unstructured data to extract meaningful insights.

• Build, validate, and deploy machine learning models.

• Perform data cleaning, preprocessing, and feature engineering.

• Develop predictive and statistical models to solve business problems.

• Work closely with cross-functional teams (product, engineering, business).

• Create dashboards, reports, and visualizations for stakeholders.

• Monitor model performance and improve accuracy over time.

• Stay updated with the latest trends in data science and AI.

Required Skills & Qualifications

• Bachelor’s/Master’s degree in Computer Science, Statistics, Mathematics, or related field.

• 2–6 years of experience in data science or analytics roles.

• Strong programming skills in Python or R.

• Hands-on experience with libraries such as Pandas, NumPy, Scikit-learn.

• Knowledge of machine learning algorithms (regression, classification, clustering).

• Strong understanding of statistics and probability.

• Experience with SQL and working with large datasets.

• Familiarity with data visualization tools like Tableau, Power BI, or Matplotlib/Seaborn.

Good to Have

• Experience with Deep Learning / NLP

• Exposure to Big Data tools (Spark, Hadoop)

• Experience with cloud platforms (AWS, GCP, Azure)

• Knowledge of MLOps and model deployment

• Experience with A/B testing and experimentation frameworks

Key Competencies

• Strong analytical and problem-solving mindset

• Ability to translate data into business insights

• Good communication and stakeholder management skills

• Attention to detail and data accuracy