IL0219 – Data Scientist.
Core
Develop and implement analytics applications and Marketing ML models to transform raw data into meaningful information for revenue-generating products.
Role type
Data Scientist (Marketing ML & Analytics)
Builds
Marketing ML models, scalable data pipelines, and analytics applications.
Domain
Marketing, Cloud Computing, Big Data
Deliverable
production ML models | dashboards & analysis
Required skills
Supervised/Unsupervised Learning, Feature Engineering, Hyperparameter Tuning, Probability and Statistics, Data Cleaning, Data Exploration, Data Visualization, Agile Methodology, Version Control
Preferred skills
None stated
Technologies
Java, Python, Shell Scripting, PySpark, SASSQL, PostgreSQL, MySQL, Tableau, AWS QuickSight, Javascript, matplotlib, seaborn, Pentaho, Snowflake, AWS Redshift, Hadoop, AWS (S3, RDS, SageMaker, Lambda, Step Functions, Athena), Jenkins, Git
Responsibilities
Build and evaluate Marketing ML models using customer data; Create and manage end-to-end projects including analysis design and execution; Develop scalable data pipelines for feature extraction using cloud services; Identify, clean, analyze and summarize data from disparate sources; Prototype and implement advanced solutions to enhance ML model performance; Create clear documentation of research plans and results; Present research findings to varying audiences; Collaborate with data engineering and operations teams to productionize work; Automate processes for recurring analyses.
Seniority
Mid-level (2+ years experience)
