Description

Job Description:

• Excellent knowledge of ML algorithms (e.g., Linear Regression, Logistic Regression, Clustering/Segmentation, Decision Tree, Random Forest Algorithm, GBM, DNN, Naive Bayes, Support Vector Machine, etc.).

• Expertise in applying statistical, advanced analytics, machine learning, and/or AI, deep learning concepts, and techniques to solve business problems. Strong programming skills using Python, SQL, PySpark.

• Experience with Python libraries such as Pandas, NumPy, SciPy, Scikit-Learn.

• Strong analytical, critical-thinking skills with demonstrated ability to identify/analyze/synthesize data and use the data to drive decisions.

• Superior communication and persuasion skills, talent for storytelling, visualization, and creating insights from data to deliver practical recommendations for business action.

• Good knowledge of calculus, linear algebra, statistics, and probability.

• Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required

Key Skills
Education

Bachelor's degree

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