Data Scientist

Job Description: The Data Scientist will demonstrate 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.) to lead efforts, teams, projects, and engage with customers.

KEY RESPONSIBILITIES:

• Responsible for developing and implementing AI-assisted marketing analytics solutions that address customer needs using data science, machine learning.
• Work closely with multi-functional teams to deliver innovative solutions that drive business growth and improve customer engagement.

Required Skills:

• 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, sophisticated 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 proven ability to identify/analyze/synthesize data and use the data to drive decisions
• Superior communication and persuasion skills, talent for storytelling, visualization, and crafting 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