Data Scientist Senior

Computer Task Group, IncUNAVAILABLE, UNAVAILABLE
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

Benefits

  • competitive benefit package
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