Description

You will apply advanced analytics, machine learning, and deep learning techniques to solve complex business problems and drive decisions.

Responsibilities

• Apply statistical, machine learning, and AI concepts to solve business challenges.
• Identify, analyze, and synthesize data to deliver practical recommendations.
• Create data visualizations and stories to communicate insights to stakeholders.
• Develop models using supervised and unsupervised learning algorithms.

Required Skills

• 5+ years of professional experience in data science or a related field.
• Proficiency in Python, SQL, and PySpark.
• Expertise in ML algorithms including GBM, DNN, Naive Bayes, and Support Vector Machines.
• Hands-on experience with Pandas, NumPy, SciPy, and Scikit-Learn.
• Strong foundation in calculus, linear algebra, statistics, and probability.
• Deep understanding of Linear Regression, Logistic Regression, Clustering, and Decision Trees.

Preferred Skills

• Master’s degree in Math, Statistics, Data Science, Computer Science, or a quantitative field.

Key Skills

Education

Bachelor's degree