The Acceleration Center is a cross functional team chartered to advance collaboration, efficiency, and adoption of emerging technologies. The Innovation Acceleration Senior Data Scientist will support the Acceleration Center Team Leader, assess, define and capitalize on specific emerging data analytics and technology opportunities for RSM and our clients. The Senior Data Scientist will focus in Data Analysis and Advance Analytics capabilities and technologies. This role will directly impact the services and solutions RSM provides our clients and tools we use to run our business. The Senior Data Scientist will support use cases acceleration, developing resources or proof of concept solutions, technology enablement, research, and thought leadership. The percentage representations are estimates and could be more or less than stated.
Location
RSM has offices in more than 90 locations throughout the US and Canada. RSM’s candidate search for this position is nationwide with preferred cities including Boston, Charlotte, Chicago, and Minneapolis.
Duties and Responsibilities:
Advanced Data Analytics and Data Modeling – executes and articulates complex statistical and analytics techniques (eg, machine learning, natural language processing, etc.) with stakeholder feedback.
Use Case Acceleration:
Collaborate with Lines of Business (LOB) and Internal Client Service (ICS) teams to identify, evaluate, and prioritize internal and external use case
Determine best course of action to achieve use case goals
Provide expertise to architect, design solutions, and accelerators
Manage and develop Senior Analysts and Analysts 30%
Tool & Technology Enablement:
Define and manage portfolio of emerging technology tools and products
Act as a liaison with IT for technology enablement and support 10%
Capability Development:
Support the development of a resource strategy to address short term and long term needs
Support the development of a comprehensive learning and development program 10%
Research & Thought Leadership:
Drive the development of emerging technology research
Build internal awareness and external brand by delivering thought leadership 10%
Operations:
Support PMO requests and updates
Draft status reports 10%
Basic Qualifications:
Requires a minimum of a Bachelor’s degree in Computer Science, Mathematics, Management Information Systems, Data Science, Statistics, Engineering or similar from an accredited college/university
Requires the ability to understand various data structures and common methods in data transformation
Requires a minimum of four (4) years of experience using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets
Requires a minimum of four (4) years’ experience in SQL/NoSQL or other DB query language as well as DB design and development
Requires a minimum of four (4) years’ experience visualizing/presenting data for stakeholders using: Tableau, PowerBI or similar
Strong analytical and quantitative problem-solving ability
Excellent communication, relationship skills and a strong team player
Requires experience in statistical modeling, machine learning, or data mining practice/techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis
Requires knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
Requires experience utilizing Statistical Natural Language Processing (NLP), lexical analysis and semantic processing
Preferred
Masters in Statistics, Mathematics, Economics, Human Resources, Operations Research, Data Science or similar from an accredited college/university
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