IL0219 – Data Scientist.

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.

Participate in planning, roadmap, and architecture discussions to help evolve our AI processes to improve revenue-generating products. 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.

Version Control: Jenkins or Git. Data Exploration. Data Visualization. 100% Telecommuting is permi