Job Description
About the Role
We are looking for a skilled Data Scientist to analyze complex data, build predictive models, and generate actionable insights that support business decisions. The role involves working with data, machine learning, statistics, and AI to solve real-world business problems.
Key Responsibilities
Collect, clean, and analyze large datasets.
Perform Exploratory Data Analysis (EDA) and identify meaningful patterns.
Build, train, and optimize Machine Learning models.
Apply statistical methods to solve business problems.
Develop predictive and forecasting models.
Create data visualizations and communicate insights to stakeholders.
Work with Data Engineers and ML Engineers to deploy models into production.
Evaluate model performance and continuously improve solutions.
Prepare reports and presentations based on data-driven insights.
Experience
2–5 years of experience in Data Science, Machine Learning, or Analytics.
Hands-on experience with real-world data science projects.
Required Skills
Strong knowledge of Python, SQL, Statistics, and Machine Learning.
Experience with Pandas, NumPy, Scikit-learn, Matplotlib, and Seaborn.
Knowledge of Deep Learning, NLP, or Generative AI is a plus.
Experience with data visualization tools such as Power BI or Tableau.
Good analytical, problem-solving, and communication skills.
Qualification
Bachelor’s/Master’s degree in Computer Science, Data Science, Statistics, Mathematics, AI/ML, or a related field.