Sr. Consultant, Data Science II

Alternate Locations: Greensboro, NC (North Carolina); Fort Wayne, IN (Indiana); Radnor, PA (Pennsylvania)

 

 Work Arrangement:

Hybrid/Common Days+ : Work 2-3 days a week in a Lincoln office with a designated workspace.

 

Relocation assistance:  is not available for this opportunity.

 

Requisition #: 72238

 

Core Information

Job Title : Sr. Consultant, Data Science II;Job Code : Sr. Consultant, Data Science II (BA30P401);Job Family : Data Science;; Function : Business Analysis;FLSA Status : Exempt;Job Level : P4;

General Purpose of Job

This position will provide subject matter expertise and direction on complex projects/initiatives involving multiple/cross-functional resources in the design and implementation of innovative data science solutions to support the achievement of business goals. They will act as a lead in the research and implementation of best in class advanced data science approaches, process automation, and tooling to provide meaningful data insights to business leadership.

The Role at a Glance

This role will be a member of a small team in Corporate Finance supporting financial data environments and interfaces covering specific business areas in Finance (Investment operations, Actuarial, EPM data, Financial reporting, etc)  This data scientist will be an independent contributor supporting a growing area in finance for data analysis and insights.  Provides input into strategy, analysis methods, and tool selection.  Works with moderate guidance in own area of knowledge.  Resource will be responsible for supporting a large scale implementation with financial data and analyzing specific use cases to identify opportunities for machine learning, visualization, and data wrangling - identifying data trends and insights.  This resource will act as one of the key process experts who understands how to standardize, manage, and advocate for best-in-class data in Finance in partnership with finance business partners.

What you'll be doing

o    Perform advanced analytics techniques to mine unstructured data
o    Understand large database mining tools and statistical languages utilized to efficiently build approaches and execute on analytical use cases. 
o    Leverage tools and resources to plan, evaluate, and execute strategic initiatives. 
o    Proficiency in the entire predictive modeling life cycle - from exploratory data analysis to data cleansing to Feature engineering to model building and validation, operationalization and scalability of scientific techniques and establishing decision strategies. 
o    Hands on experience developing supervised and unsupervised machine learning algorithms (regression, decision trees, random forest, neural networks, NLP, feature selection/ reduction, clustering, parameter tuning, etc) 
o    Experience in projects involving large scale, multi-dimensional databases, complex business infrastructure, and cross functional teams. Two to four successfully launched ML projects would be ideal. 
o    Demonstrated programming skills in Python, SQL, Spark, etc
o    Hands on experience on using AWS framework and cloud querying tools.  
o    Exposure to deep learning applications and tools is a plus 
o    Experience in the financial insurance domain and familiarity with financial models are highly desirable. 
o    Ability to partner closely with a diverse set of business collaborators to identify needs and deliver AI/ML solutions.  – found a spelling error
o    Ability and willingness to step in where needed in data management teams - for all data analysis needs. 
o    Managing analytics projects from start to finish (data integration, analysis, reporting).
o    Working closely with the team leads to solve statistical business problems.
o    Developing and coding new algorithms to meet specific business needs.
o    Carrying out statistical research, prototyping new systems, and finding new ways of gathering, cleaning, and analyzing data.
o    Managing, maintaining, and developing the organization’s data platform.
o    Consulting with internal and external teams to determine their ongoing business needs, and to find solutions to them.
o    Actively working to identify improvements to internal processes, to improve conversions, revenue, ROI (or other relevant metrics).
o    Ability to lead teams in researching or solving business-critical problems.
o    Ability to understand data metadata management practices
o    Ability to clearly articulate thoughts and ideas and adjust communicate based on audience
o    Ability to leverage previous experience to consider a variety of alternative to arrive at a timely, practical and effective solution to resolve business problems.
o    Strong collaboration skills with the ability to work with business partners to desi