Utilizes basic knowledge to apply analytics and modeling techniques to improve business results.
Performs routine assignments and leverages customer information and behavioral data to influence strategic business decisions.
Uses analytics, multi-variate models, machine learning and data mining technologies.
Actively learns about business operations and best practices in data science with guidance from more senior roles.

Utilizes conceptual knowledge of consumer analytics including retention models, agency economics, and lead optimization in their daily work.
Utilizes basic knowledge of programing, ETL and modeling methods to execute projects and assists the team through examples of good technical skills.
Executes on low-complexity business challenges involving data science.
Succeeds in projects by utilizing a data science vision for project success, and accomplishes successfully within prescribed timelines.
Executes on routine projects with a sense of urgency.
Contributes to development of presentations.
Occasionally communicates complex technical material understandable to non-technical associates.
Executes basic to intermediate model deployments via established MLOps techniques.
Works with analytics and IT teams to deploy models/rules.

Technical & Business Skills

1+ years of experience working in a Data environment
Basic knowledge of data analysis, manipulation tools such as Python.
Understanding on statistics in modeling side.
Strong verbal communication and listening skills.
Demonstrated written communication skills.
Demonstrated time management and priority setting skills. with some guidance.
Developing ability to consult on data extraction, data manipulation and data design for statistical, modeling and monitoring needs with guidance.
Able to adapt quickly to new technologies.

Nice to have

Proficiency working on large-scale structured and unstructured multidimensional data using conceptual knowledge of open-source cloud-enabled analytical programming languages.
Basic proficiency in predictive and prescriptive modeling using advanced machine learning and deep learning techniques.
Conceptual knowledge of ML/AI model deployment best practices.
Conceptual knowledge of coding standards and version control (Git).

Associate Data Scientist

Key skills