Responsibilities

• Develop and implement a set of techniques or analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
• Build and evaluate Marketing ML models using First & Third Party Customer Data.
• Create and manage end-to-end projects including analysis design, execution and summarization of results.
• Develop scalable data pipelines for feature extraction using various cloud services.
• Identify, clean, analyze and summarize data, potentially from disparate and complex data sources, to facilitate high quality analyses.
• Prototype and implement advance solutions to enhance existing ML model performance.
• Create clear documentation of research plans, results, and conclusions.
• Present research and recommendations based on research findings to audiences of varying level of experience.
• Collaborate with data engineering and operations teams to productionize work.
• Automate processes for recurring analyses or other model building activities, focusing on efficiency.

Requirements

• Minimum Requirements: Master’s degree in Data Science, Computer Science or related field and two (2) years of experience in a computer occupation.
• Must have two (2) years of experience with/in:
• - Programming and sara analysis using Java, Python, Shell Scripting, PySpark, or SASSQL.
• - Databases: PostgreSQL or MySQL.
• - Data Visualization and Business Intelligence: Tableau, AWS QuickSight, Javascript, matplotlib, and seaborn.
• - Big Data Analytics: Pentaho, Snowflake, AWS Redshift, or Hadoop.
• - Cloud Computing: AWS (S3, RDS, SageMaker, Lambda, Step Functions, or Athena).
• - Machine Learning Modeling: Supervised Learning, Unsupervised Learning, Feature Engineering, or Hyperparameter Tuning.
• - Probability and Statistics.
• - Agile Methodology.