Job Description
Summary Were looking for a dynamic Data Science with machine learning experience to join the data science team at Gainwell Technologies. You will have the opportunity to work as part of a cross-functional team to define, design and deploy frameworks for data collection, normalization, transformation, storage and reporting on AWS to support the analytic missions of Gainwell and its clients. Your role in our mission Builds analytic models to identify and quantify solutions to business problems. Interprets and communicates insights and findings from analysis and experiments to client, service, and business managers. Determines probable future outcomes and recommends and delivers new business process improvements. Provides leadership and work guidance to less experienced personnel towards build of software programs, algorithms and automated processes to cleanse, integrate and evaluate large datasets from multiple disparate sources. Determines the right modeling methodology to the. use case, available structured and unstructured data, cost and timing constraints to solve the large and complex business issues and delivers compelling and clear business focused insights , for this he/she may take guidance of the Advisor/strategist Influences a client's strategic decisions by using deep industry expertise and deploying innovative analytics solutions in the operational systems Summarizes complex ideas by developing visual models to display insights to simplify user experience. Basic Qualifications Bachelors degree in a technical discipline related to Statistics, Analytics, Mathematics, Psychology, or Data Analysis Master's degree in related field preferred. Typically 7+ years of relevant experience in the area of statistics/analytics/machine learning Extensive knowledge of data science methodologies including but not limited to classical regression, neural nets, sequence analysis, cluster analysis, and text mining Other Qualifications Extensive understanding of analytics programming languages (eg. R, SAS, SPSS, Python). Advanced understanding of analytics deployment architectures Extensive machine learning techniques & mathematical modeling skills good knowledge of data visualization techniques and software tools (eg. Spotfire, SAS, R, Qlikview, Tableau, HTML5, D3) Guides and assigns work of others & manages large scale projects with teams ranging from 2-4 data scientists Willing to work in a matrix environment Good creative thinking, problem solving, planning, time-management, project management and organization skills to balance and prioritize work Willingness to travel Work Environment Hybrid Office environment
Employement Category:
Employement Type: Full time
Industry: Others
Role Category: Statistics / Analytics
Functional Area: Not Applicable
Role/Responsibilies: Data Scientist
Keyskills:
Data Science
Machine Learning
AWS
Algorithms
Data Cleansing
Data Integration
Data Visualization
R
SAS
SPSS
Python
Mathematical Modeling
Project Management
Organization Skills
Analytic Models
Business Process Improvements
Software Programs
Data Evaluation
Data Modeling Methodology
Analytics Solutions
Machine Learning Techniques
Data Visualization Techniques