Vacancy caducado!
DescriptionIf you are a passionate practitioner of machine learning and artificial intelligence who does not shy away from using the latest tools and technology in the cloud, to push the boundaries of model building targeting the best in class industry-leading capabilities, this is the right job for you. You are comfortable imagining a world where it takes six days or less versus six months to build, train, test, iterate, explain and deploy models into production working with both internal and external stakeholders. You take immense pride in your everyday work but have zero egos taking feedback and bringing teammates along the journey and you can balance model accuracy with human intuition and common sense. Primary responsibilities include:
Driving transformation using machine learning, either working individually or in small groups.
Rolling up your sleeves and enabling the model building process from end-to-end managing stakeholders, presenting the results and helping the team grow in an agile organization.
QualificationsRequired Skills/Experience:
4 or more years of experience working in a data environment
At least 2 years of experience in Python, Scala or R
Demonstrated quick learner, highly analytical with excellent problem-solving skills and attention to detail
Strong communication and storytelling skills
Enjoys solving challenging problems in a fast-paced environment and participating in Kaggle competitions
Proven experience working on multiple projects involving programming and building predictive models using R or Python
Experience building and deploying machine learning algorithms such as Random Forest, Gradient Boosting and Neural Networks into production
Experience supporting multiple projects using Natural Language Processing and Text Analytics
Experience working in distributed computing technology such as HDFS, Spark MLib, and Mapreduce
Hand on experience with Amazon AWS machine learning technologies such as Amazon SageMaker, TensorFlow, PyTorch, Keras, Amazon Transcribe, Amazon Textract
Experience working with relational databases and data warehouse such as Amazon Redshift
Education, Certifications, and Other Professional Credentials:
Bachelors or Masters in computer science and or in a field such as statistics, mathematics, econometrics from a top-tier institution with a strong academic track record
Certifications in AWS and machine learning are preferred
Hours & Work Schedule Hours per Week: 40Work Schedule: Monday through Friday #LI-MF1Why Work for UsAt Citizens, you'll find a customer-centric culture built around helping our customers and giving back to our local communities. When you join our team, you are part of a supportive and collaborative workforce, with access to training and tools to accelerate your potential and maximize your career growth.Equal Employment OpportunityIt is the policy of Citizens Bank to provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to race, color, ethnicity, religion, gender, pregnancy/childbirth, age, national origin, sexual orientation, gender identity or expression, disability or perceived disability, genetic information, citizenship, veteran or military status, marital or domestic partner status, or any other category protected by federal, state and/or local laws.Equal Employment and Opportunity Employer/Disabled/VeteranCitizens Bank is a brand name of Citizens Bank, N.A. and each of its respective subsidiaries.
Vacancy caducado!