Find & Apply For Data Scientist Jobs in Jacksonville, Florida

Job Description Help for Job Description. Opens a new window. JPMorgan Chase & Co.

JOB TITLE

Data Scientist [Multiple Positions Available]

LOCATION

7255 Baymeadows Way, Jacksonville, FL 32256.

DUTIES:

Work with Product and Data Owners, Technology, and Design Partners to advance the integrity and capabilities of the Home Lending data ecosystem. Understand and translate business needs into tangible, technical tasks to support long-term strategic objectives. Provide oversight and track initiatives to completion, clearly articulating progress and risks to Stakeholders. Partner with key Stakeholders and Business to ensure their foundational data needs are being addressed. Collaborate with team members, both to build out specific projects and to continuously teach and learn new technology and techniques. Perform data discovery work to manipulate and analyze complex, high-volume, high-dimensionality data from varying sources to help develop various types of data-driven Home Lending products/initiatives. Provide recommendations on suitable data solutions, structures, and/or processes in clear, concise terms to both technical development teams and non-technical Stakeholders. Create stored procedures in SQL Server to transform data and push them to several staging databases which can be used for reporting purposes. Deliver data to several business users who use Machine Learning to capture the customers at the earliest and market their business.

REQUIREMENTS

Master's degree in Information Systems and Operations Management, Computer Science, Management Information Systems, Data & Analytics, or related field of study plus 3 years of experience in the job offered or as Data Scientist, Data Domain Architect, Test Engineer or related occupation. This position requires three (3) years of experience with the following: Architecting and implementing big data solutions using Hadoop ecosystem components (including HDFS, Hive, and MapReduce) for processing multi-terabyte datasets; Driving initiatives in Agile/Scrum environments, participating in sprint planning, daily standups, retrospectives, and delivering iterative data solutions in 2-week sprint cycles; and Building Java-based data pipelines to ingest, transform, and standardize data from APIs, batch processes, and banking systems into AWS Data Lake, Snowflake, and on-premises platforms. This position requires two (2) years of experience with the following: Designing and deploying end-to-end data solutions on AWS cloud infrastructure, including: S3 for data lake architecture with lifecycle policies and versioning, RDS and Aurora for relational database management with high availability configurations, Redshift for data warehousing with distribution keys and sort keys optimization, and Athena for serverless SQL querying of petabyte-scale data; and Utilizing enterprise-level relational database management systems including Snowflake (including virtual warehousing, time travel, and zero-copy cloning), Teradata (including performance tuning and workload management), Oracle (including PL/SQL and partitioning), and Microsoft SQL Server (including SSIS and indexing strategies). This position requires one (1) year of experience with the following: Developing complex SQL Server stored procedures to dynamically feed data into operational reporting systems and to architect, enhance, and centralize enterprise data products across AWS, Snowflake, Hadoop, Teradata, and Microsoft database platforms to enable scalable analytics consumption; and Developing interactive dashboards and reports using Tableau (including calculated fields, parameters and LOD expressions) and Power BI (including DAX, Power Query and custom visuals) for executive-level stakeholders. This position requires any amount of experience with the following: Designing and developing PySpark optimization techniques including partitioning strategies, broadcast joins, and memory management for cluster computing environments; AWS services including SageMaker, Glue, Lambda, EMR, and Step Functions for workflow orchestration; Designing normalized and denormalized database schemas supporting OLTP and OLAP workloads for 100+ concurrent users; Establishing data quality management processes including profiling, cleansing, validation, and monitoring with measurable quality metrics (including accuracy, completeness and consistency); and Applying project management techniques including scope definition, resource allocation, risk management, and stakeholder communication for data initiatives. Full-time. To apply for this position, please email your resume to my.resume@jpmchase.com with following job ID clearly indicated: [

MR-DS-RAI-045331.100611

]. JPMorgan Chase & Co. is an Equal Opportunity and Affirmative Action Employer, M/F/D/V.