Emerging Technology Cloud Data Scientist
Emerging Technology Cloud Data Scientist
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$ 69230 - 149000
1 Vacancy
Job Description
The Bank Products and Services groupprovides a bank-wide product and services framework that prioritizes client needs resources and capital demands for creating growth providing TUCE and introducing greater innovation and efficiencies into our solutions and operating model.
As an Emerging Technology Cloud Data Scientist you will be developing deploying and optimizing AI/ML models on cloud-native platforms to support the financial organizations digital and analytical transformation. You will leverage advanced statistical modeling machine learning and cloud technologies to deliver scalable secure and compliant AI solutions. This involves working closely with the Emerging Technology Product Manager to identify and build solutions. You will also collaborate with data engineers architects and business stakeholders to create AI models that power fraud detection risk management payments modernization and personalized banking services ensuring alignment with enterprise AI governance and regulatory requirements. This is a subset of the overall responsibilities which will include multiple initiatives as assigned by IT leadership.
This role is hybrid (Mon through Thu on-site / Fri remote) and located in downtown Kansas City MO.
How youll spend your time:
- Work closely with the Emerging Technology Product Manager to identify and build solutions.
- Design build and validate AI/ML models on cloud-native platforms (AWS SageMaker/Bedrock Azure AI GCP Vertex AI).
- Collaborate with AI Cloud Data Engineers to build scalable data pipelines for model training validation and inference.
- Develop and maintain cloud-based MLOps pipelines for continuous integration deployment and monitoring of AI models.
- Ensure AI/ML solutions meet regulatory requirements for fairness explainability and security in financial services.
- Partner with data architects and governance teams to align models with enterprise data frameworks and compliance standards.
- Conduct experiments with advanced techniques such as NLP generative AI and deep learning for financial applications.
- Monitor and retrain cloud-deployed models to address data drift performance degradation or compliance changes.
- Document methodologies and results to ensure transparency and audit readiness.
- Translate business requirements into scalable AI model solutions deployed in the cloud.
- Stay current on advancements in AI/ML cloud computing and regulatory AI frameworks.
Were excited to talk with you if:
- You have a Bachelors degree in Data Science Statistics Computer Science or related field and at least 3 years of experience in applied machine learning or data science OR equivalent combination of education and work experience.
- You have hands-on experience with at least one major cloud platform (AWS Azure or GCP).
- You have in-depth programming skills in Python or R with knowledge of AI/ML frameworks (Scikit-learn TensorFlow PyTorch).
- You have strong understanding of statistics probability and applied mathematics.
- You have proficiency in cloud-native AI/ML platforms and services (e.g. SageMaker Bedrock Vertex AI Azure AI).
- You have knowledge of data preparation feature engineering and model lifecycle management.
- You have familiarity with SQL data wrangling and cloud-based data warehouses (Snowflake Redshift BigQuery Synapse).
Bonus Points If:
- You have a Masters or PhD in Data Science Machine Learning or related discipline.
- You have at least 5 years of data science experience in financial services or regulated industries.
- You have certifications such as AWS Certified Machine Learning Specialty Google Professional Data Scientist or Microsoft AI Engineer.
- You have experience building cloud-native AI solutions for fraud detection credit risk scoring and compliance monitoring.
- You have experience with advanced deep learning architectures (transformers reinforcement learning).
- You have familiarity with distributed AI training frameworks (Horovod Ray DeepSpeed).
- You have knowledge of streaming and real-time data processing in the cloud (Kafka Pub/Sub Kinesis).
- You have understanding of AI observability tools bias detection and drift.
Applicants must have legal authority to work in the United States. Work Visa sponsorship is not available for this position.
Compensation Range:
$69230.00 - $149000.00The posted compensation range on this listing represents UMBs standard for this role but the actual compensation may vary by geographic location experience level and other job-related addition this range does not encompass the full earning potential for this role. Please see the description of benefits included with this job posting for additional information
UMB offers competitive and varied benefits to eligible associates such as Paid Time Off; a 401(k) matching program; annual incentive pay; paid holidays; a comprehensive company sponsored benefit plan including medical dental vision and other insurance coverage; health savings flexible spending and dependent care accounts; adoption assistance; an employee assistance program; fitness reimbursement; tuition reimbursement; an associate wellbeing program; an associate emergency fund; and various associate banking benefits. Benefit offerings and eligibility requirements vary.
Are you ready to be part of something more
Youre more than a means to an enda way to help us meet the bottom line. UMB isnt comprised of workers but of people who care about their work one another and their community. Expect more than the status quo. At UMB you can expect more heart. Youll be valued for exactly who you are and encouraged to support causes you care about. Expect more trust. We want you to do the right thing no matter what. And expect more opportunities. UMBers are known for having multiple careers here and having their voices heard.
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Employment Type
Full-Time
