open to NJ2-101-14-02 Jersey City or NC1-021-04-20 Charlotte or TX2-982-02-22 Plano TX
Position Summary
Role/ Team Overview:
BOA-AppProg-IV-V-7
Job Description data scientist :
Contributes to the strategic vision and integrates a broad range of ideas regarding setting the strategy around gathering organizing and extracting qualitative and quantitative relationships and trends from large amounts of data.
Recognized across the organization for organizing and developing data warehouses for optimal decision support.
Leads the design development and implementation of complex data management storage applications often using new technologies.
Exercises judgment within broadly defined practices and policies in selecting methods techniques and evaluation criterion for obtaining results.
Work leadership may be provided by assigning work and resolving problems.
Requires a Bachelors degree or advanced degree and /or equivalent experience in related IS/IT discipline.
Excellent written and verbal communication skills coupled with ability to translate business strategy into achievable tactics.
Typically over 10 years of related IT experience.
LOB Job Description:
Workspace Services: Capital team is looking for a hands-on Senior Data Scientist II to undertake multiple advanced analytics initiatives like Forecasting Predictions etc that will enable us deliver Operational Excellence and provide actionable insights to business users. The Data Scientist is responsible for executing the full-scope of advanced analytic techniques with the objectives of creating quantitative and qualitative models data mining causal inferences predictions optimizations and recommendations for Treasury team.
This position is for a self-starter with leadership qualities responsible for formulating and managing projects as well as developing data science models and working with key business data and technology leaders to establish roadmaps and deliver high value analytic projects. Position requires strong command of various data mining and advanced analytical techniques to produce easy to use analytical solutions.
Required Skills:
2 - 5 years of professional experience as a data scientist executing complex analytical projects
2 years of text analytics experience
Strong programming experience with Python Tensorflow Scikit-learn CUDA and pandas
Knowledge of Big Data Architectures and Cloud computing
Experience with Hadoop/Hive Neo4J Apache Spark Kafka and MongoDB is a plus
Experience with data visualization tools like Tableau Kibana etc.
Knowledge of machine-learning techniques classifiers and statistical methods
Hands-on experience with natural language processing techniques including Sentiment analysis Word embeddings
Experience with Speech-to-Text is a plus
Advanced degree or equivalent experience in mathematics data science or other quantitative discipline
Demonstrated success in executing high value enterprise projects with clear articulation of benefits costs and risk
Superb communication coaching and management skills across multiple business stakeholders and IT as well as external partners
Desire to use modern technologies as a disruptive influence within the Finance domain
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.