Data Scientist Senior

Computer Task Group, Inc•UNAVAILABLE, UNAVAILABLE

6d•Remote

About The Position

We are seeking an experienced Data Scientist Senior to support enterprise analytics and reporting initiatives. This role will focus heavily on converting SQL stored procedures into Alteryx workflows and updating Tableau dashboards with new data sources. The ideal candidate will have strong expertise in SQL, ETL processes, Alteryx, Tableau, and advanced analytical methodologies.

Requirements

Advanced SQL and ETL experience
Alteryx workflow development expertise
Tableau dashboard development experience
Experience with statistical analysis, predictive modeling, and machine learning techniques
Knowledge of SQL and NoSQL database technologies
Experience analyzing large and complex data sets
Strong analytical, communication, and problem-solving skills
Bachelor’s degree and minimum 5 years of related experience OR a combined minimum of 9 years of higher education and/or work experience including at least 5 years of related experience
Experience with statistical methodologies including A/B testing, hypothesis testing, and model bias evaluation
Experience working with cloud and on-premise hybrid data environments

Nice To Haves

Master’s or PhD in Statistics, Economics, Finance, Computer Science, Engineering, or related quantitative field
Experience with econometric and statistical techniques such as logistic regression, time-series analysis, and panel data methods
Experience deploying enterprise-scale analytical and machine learning solutions
Financial services or regulated industry experience preferred
Excellent verbal and written English communication skills and the ability to interact professionally with a diverse group are required.

Responsibilities

Convert SQL stored procedures into scalable Alteryx workflows
Develop and enhance Tableau dashboards and reporting solutions
Work with large, complex data sets to solve business problems using statistical and analytical approaches
Design, build, and refine machine learning and predictive models
Source, cleanse, and prepare data for enterprise analytics initiatives
Support deployment and productionization of analytical models
Perform data validation, monitoring, and data drift analysis
Collaborate with stakeholders to deliver actionable insights and reporting solutions
Review and optimize code for efficiency, scalability, and best practices
Support compliance with organizational risk and regulatory standards