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Job Description:
At Regions, the Data Scientist works with small teams of data scientists, analysts and visualization experts, contributing to solving high complexity business problems. The ideal candidate has knowledge of quantitative analytic methods, data management, visualization, and programming skills suitable to drive data driven decisions. Researches, models, implements and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes. The position at this level is considered entry level and will consistently seek out opportunities to develop and evolve knowledge and skills as it relates to daily tasks.
Primary Responsibilities
Works with large, structured, and un-structured datasets
Uses quantitative and analytical techniques to accelerate profitable growth and customer engagement - unlocking value across all functional areas of business
Uses Big Data tools (Hadoop, Spark, H2O, CDSW, Domino Labs, etc.) to build data analytics solutions
Contributes to the development of machine learning (ML) and Artificial Intelligence (AI) models from development through testing and validation
Assists with designing rich data visualizations to communicate complex ideas to business leaders and executives
Draws insights from data to make quick, well-informed decisions with available information
Primarily focuses on daily deliverables of routine and defined outputs, while at the same time developing knowledge of the broader context in which the work is being performed
This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.
Requirements
Bachelor's degree and two (2) years of experience
Or Master's degree in quantitative/analytical/STEM field
Preferences
One (1) year of working experience in Machine Learning, Deep Learning, or Artificial Intelligence
One (1) year of working programming experience in Python, Ruby, R, Matlab, Scala, or Java
One (1) year of hands-on experience with Big Data technologies
Background in banking and/or other financial services
Experience in libraries such as TensorFlow, Pytorch, or Keras
Experience in Agile Software Development
Knowledge in Google Analytics and/or Adobe Digital
Skills and Competencies
Advanced Structured Query Language (SQL) skills
Comfortable with both relational databases and Hadoop-based data mining frameworks, SQL, Snowflake, and ML/AI tools on the Hyperscalers (AWS, Azure, GCP)
Deep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms
Expertise in analyzing large, complex, multi-dimensional datasets using a variety of tools like Python, R, Statistical Analysis System (SAS), or Statistical Package for the Social Sciences (SPSS)
Proficient in visualization tools like Power Business Intelligence (BI), Tableau
Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
Strong communication skills through data visualizations, written and oral presentations
Position Type Full time
Compensation Details
Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include: experience, skills, knowledge, contribution, job location and, most importantly, performance in the job role. As these factors vary by individuals, pay will also vary among individual associates within the same job.
The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.
Job Range Target:
Minimum: $69,285.20 USD
Median: $99,400.00 USD
Incentive Pay Plans: This job is not incentive eligible.
Location: Nashville, TN
Posted: Sept. 12, 2024, 6:25 a.m.
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