Data Scientist – Job Description

PURPOSE AND SCOPE

Plan and conduct data science projects that enable advanced analytics, predictive modeling, and data-driven decision-making

Partner with engineering and business teams to productionize models and embed them into enterprise applications and workflows

Ensure robust, reliable, and governed advanced analytics solutions aligned with enterprise architecture and responsible AI/ML principles

PRINCIPAL DUTIES AND RESPONSIBILITIES

Conducts advanced data analysis and complex designs algorithm

Identifies what data is available and relevant, including internal and external data sources, leveraging new data collection processes 

Identifies and analyzes patterns in the volume of data supporting the initiative, the type of data (e.g., images, text, clickstream or metering data) and the speed or sudden variations in data collection.

Partners with the data stewards to define the data quality expectation in the context of the specific use case

Recommends ongoing improvements to methods and algorithms that lead to findings, including new information

Analyze all data using various data analysis software and/or applying quantitative methods, resolve data discrepancies, draw conclusions, and provide/implement process or documents improvements. 

EDUCATION

Advanced Degree in Computer Science, Data Science, Engineering, Statistics, or a related field

Relevant certifications in cloud platforms (AWS, Azure) preferred

Working knowledge in R, Python, SAS at a minimum

EXPERIENCE AND REQUIRED SKILLS

8 – 12 years’ related experience; or a Master’s degree with 6 years’ experience; or a PhD with 2 years’ experience; or equivalent directly related work experience.

Solid knowledge of statistical techniques. 

Experience using machine learning algorithms.

Proficiency in the use of statistical packages.