Data Scientist

Job Description

Job Summary

We are looking for a skilled Data Scientist to analyze complex datasets, develop predictive models, and generate actionable business insights. The candidate will work with structured and unstructured data and collaborate with business and technical teams to solve real-world problems using data.

Key Responsibilities

• Collect, clean, process, and analyze large datasets.
• Perform exploratory data analysis (EDA) to identify trends and patterns.
• Develop and implement machine learning models for prediction and classification.
• Apply statistical techniques to solve business problems.
• Create data visualizations and dashboards to communicate insights.
• Work with structured and unstructured data from multiple sources.
• Evaluate and optimize machine learning model performance.
• Perform feature engineering and data preprocessing.
• Collaborate with software engineers, business analysts, and stakeholders.
• Prepare reports and presentations based on data-driven findings.
• Maintain documentation of datasets, models, methodologies, and results.
• Stay updated with emerging technologies in Data Science, AI, and Machine Learning.

Required Skills

• Strong knowledge of Python.
• Good understanding of Statistics and Probability.
• Experience with Pandas, NumPy, Matplotlib, and Seaborn.
• Knowledge of Machine Learning algorithms.
• Understanding of supervised and unsupervised learning.
• Good knowledge of SQL and database concepts.
• Experience with data cleaning and preprocessing.
• Understanding of model evaluation techniques.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with Scikit-learn, TensorFlow, or PyTorch.
• Knowledge of Deep Learning and NLP.
• Familiarity with Generative AI and Large Language Models (LLMs).
• Experience with Power BI or Tableau.
• Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Big Data technologies such as Spark.
• Experience working on real-world Data Science projects.

Educational Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.
• Relevant Data Science certifications or project experience will be an advantage.

Soft Skills

• Strong analytical and logical thinking.
• Good communication skills.
• Ability to explain technical findings to non-technical stakeholders.
• Strong attention to detail.
• Ability to work independently as well as in a team.
• Willingness to learn new technologies.

Key Technologies

Python | SQL | Pandas | NumPy | Scikit-learn | Machine Learning | Statistics | Power BI/Tableau | TensorFlow/PyTorch | NLP | Generative AI