Description

You will build and deploy machine learning models to drive data-informed decision-making through statistical analysis and predictive modeling.

Responsibilities

• Gather, clean, and preprocess large datasets from various sources using data wrangling techniques.
• Develop, test, and optimize predictive models using regression, decision trees, random forests, SVM, and deep learning.
• Implement machine learning algorithms and monitor the performance of deployed models in production.
• Create interactive visualizations and dashboards to present technical findings to non-technical stakeholders.
• Collaborate with product managers and engineers to define project requirements and actionable recommendations.

Required Skills

• 5+ years of experience in a data scientist role or similar.
• Proficiency in Python, R, or Java.
• Strong expertise in SQL and NoSQL databases.
• Hands-on experience with Pandas, NumPy, and Scikit-learn.
• Deep learning experience using TensorFlow, Keras, or PyTorch.
• Solid understanding of statistical methods, hypothesis testing, and A/B testing.
• Experience with big data technologies like Hadoop or Spark.
• Knowledge of NLP and computer vision techniques.
• Ability to use visualization libraries like Matplotlib or Seaborn.

Preferred Skills

• Experience with cloud platforms including AWS, GCP, or Azure.
• PhD in Data Science, Computer Science, Mathematics, or Statistics.

Key Skills

Education

Any Gradute