Full-Time Data Scientist

• Develop and implement techniques to transform raw data into meaningful information.
• Build and evaluate Marketing ML models using First & Third Party Customer Data.
• Create and manage end-to-end projects.
• Develop scalable data pipelines for feature extraction using cloud services.
• Identify, clean, analyze, and summarize data from disparate sources.
• Prototype and implement solutions to enhance ML model performance.
• Create clear documentation of research plans and results.
• Present research and recommendations to various audiences.
• Collaborate with data engineering and operations teams to productionize work.
• Automate processes for recurring analyses.
• Participate in planning and architecture discussions to improve revenue-generating products.

• Master’s degree in Data Science, Computer Science or related field.
• Two (2) years of experience in computer occupation.
• Two (2) years of experience with:
• Programming and sara analysis using Java, Python, Shell Scripting, PySpark, or SASSQL.
• Databases: PostgreSQL or MySQL.
• Data Visualization: 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.
• Version Control: Jenkins or Git.
• Data Exploration.

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