Thank you for your interest in a career at Regions. At Regions, we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career --- a place to expect more opportunities. If you are focused on results, dedicated to quality, strength and integrity, and possess the drive to succeed, then we are your employer of choice.
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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.
Minimum
Job Range Target:
$69,285.20 USD
Median
$99,400.00 USD
Incentive Pay Plans
This job is not incentive eligible.
Benefits Information
Regions offers a benefits package that is flexible, comprehensive and recognizes that one size does not fit all for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes, which is not intended to be a complete summary of plan terms and conditions.
- Paid Vacation/Sick Time
- 401K with Company Match
- Medical, Dental and Vision Benefits
- Disability Benefits
- Health Savings Account
- Flexible Spending Account
- Life Insurance
- Parental Leave
- Employee Assistance Program
- Associate Volunteer Program
Please note, benefits and plans may be changed, amended, or terminated with respect to all or any class of associate at any time. To learn more about Regions’ benefits, please click or copy the link below to your browser.
https://www.regions.com/welcometour/benefits.rf
Location Details
Riverchase Operations Center
Location:
Hoover, Alabama
Bring Your Whole Self to Work
We have a passion for creating an inclusive environment that promotes and values the differences that make each of us stand out as unique individuals and help provide valuable perspective that makes us a better company and employer. More importantly, we recognize that creating a workplace where everyone, regardless of background, can do their best work and thrive is the right thing to do.
OFCCP Disclosure: Equal Opportunity Employer/Disabled/Veterans
Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.