Data Scientist - (Remote Opportunity)

Key Skills

Aartificial intelligence, Adobe Analytics, Apache Hadoop, Apache Hive, Apache Impala, Apache Kafka, Big Data Technology, Deep Learning, Google Analytics, Java Programming, Keras software library, Large Language Models - LLMs, Machine learning techniques, MATLAB Programming, Natural Language Processing (NLP), Python Programming, PyTorch, Quantitative models, R Programming, Ruby on Rails, Scala Programming, SPARK Programming, SPSS Statistics, SQL, TensorFlow

Job Description

At Regions, the Data Scientist works with multiple teams of data scientists, analysts and visualization experts contributing independently to solve high complexity business problems. The ideal candidate has a depth of knowledge in quantitative analytic methods, data management, visualization, and programming skills suitable to drive data driven decisions. This position researches, models, implements and validates algorithms (predictive and prescriptive) to analyze diverse sources of data to achieve targeted outcomes.

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.
• Builds machine learning and Artificial Intelligence (AI) models from development through testing and validation
• Designs 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
• Demonstrates ability to continuously learn and provide value in a dynamic environment

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 six (6) years of experience
• Or Master’s degree and four (4) years of experience
• Or Ph.D. and two (2) years of experience in a quantitative/analytical/STEM field
• Two (2) years of working experience in Machine Learning, Deep Learning, or Artificial Intelligence
• Two (2) years of working programming experience in Python, Ruby, R, Matlab, Scala, or Java
• One (1) year of working experience in Big Data Technology in Hadoop, Hive, Impala, Spark, or Kafka

Preferences

• 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

• Strong business acumen with the ability to communicate with both business and Information Technology (IT) leaders
• 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)
• Comfortable with both relational databases and Hadoop-based data mining frameworks
• Advanced Structured Query Language (SQL) skills
• Proficient in visualization tools like Power Business Intelligence (BI), Tableau
• Strong communication skills through data visualizations, written and oral presentations
• Banking Experience
• Deep Learning Modeling Experience
• NLP/LLM Experience
• Transactional Data Categorization Experience
• Team Leading and Project Management Experience

This position may be filled at a higher level depending on the candidate's qualifications and relevant experience.

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 national range and level of the position.

Job Range Target:

Minimum: $76,032.50 USD

Median: $109,310.00 USD

Incentive Pay Plans:

This job is not incentive eligible.Opportunity to participate in the Long Term Incentive Plan.

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