Responsibilities
- Works with large, structured, and un-structured datasets
- Uses quantitative and analytical techniques to accelerate profitable growth and monitor and mitigate risk - 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 tomunicateplex 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
- Understands all phases of the model lifecycle, ensuring that models and associated documentationply with model validation expectations
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 related experienceOr Master's degree and four (4) years of related experienceOr and two (2) years of related experience in a quantitative / analytical / STEM fieldOne (1) year of hands-on experience with Big Data technologies such as Hadoop, Hive, Impala, Spark, or KafkaTwo (2) years of working experience with statistical and predictive modeling concepts and approaches such as machine learning, clustering and classification techniques, and artificial intelligenceTwo (2) years of working programming experience analyzing large,plex, and multi-dimensional datasets using a variety of tools such as SAS, Python, Ruby, R, Matlab, Scala, or JavaPreferences
Background in banking and / or other financial servicesExperience in Agile Software DevelopmentMay require experience in libraries such as TensorFlow, Pytorch, or KerasKnowledge in Google Analytics and / or Adobe DigitalSkills andpetencies
Advanced Structured Query Language (SQL) skillsDeep understanding of statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and rmendation and optimization algorithmsExpertise in analyzing large,plex, multi-dimensional datasetsProficient in visualization tools like Power Business Intelligence (BI) and TableauStrong business acumen with the ability tomunicate with both business and Information Technology (IT) leadersStrongmunication skills through data visualizations as well as written and oral presentationsPosition Type
Full time
Pay ranges are job specific and are provided as a point-of-market reference forpensation 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 :
101, USD
Median : 143, USD
Incentive Pay Plans :
Benefits Information
Regions offers a benefits package that is flexible,prehensive 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 aplete summary of plan terms and conditions.
Paid Vacation / Sick Time401K withpany MatchMedical, Dental and Vision BenefitsDisability BenefitsHealth Savings AccountFlexible Spending AccountLife InsuranceParental LeaveEmployee Assistance ProgramAssociate Volunteer ProgramPlease 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.
regions / weetour /
Location Details
Regions Center
Location : Birmingham, Alabama
Equal Opportunity Employer / including 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 thepany. Job ID R92243