Data Scientist

Interview process: Phone and In Person (face to face)

Job Descripction

As a Data Scientist, you solve complex challenges and identify new opportunities using a combination of analytical expertise, business acumen, strategic thinking, and project and relationship management skills. This is an exciting opportunity to be a part of a new strategic initiative & this position is located in Newark, N.J., a quick, easy 15-minute train ride from New York Penn Station.

RESPONSIBILITIES

• Integrate and mine large data sets, connecting data from disparate sources to identify insights and patterns using predictive and prescriptive analytics, and machine learning techniques
• Conduct intermediate and advanced statistical analysis, such as linear regression, ANOVA, time-series analysis, classification models, neural networks, decision trees, as well as analysis of unstructured data (e.g., social media listening, digital footprints, speech analytics)
• Prepare and present written and verbal reports, findings, and presentations to key stakeholders, distilling complex statistical information into easy-to-understand business language
• Apply knowledge of U.S. businesses and corporate groups and relevant industry knowledge to analysis and insights
• Manage project budgets and timelines, ensuring times and on-budget completion

QUALIFICATIONS

• Experience analyzing large data sets using statistical software, such as SAS, R, Python, and SPSS, to discover new business insights
• Excel and PowerPoint a must. SQL Programming and experience of at least one DBMS such as IBM DB2, Oracle, SQL Server or Sybase are required. Java strongly desired
• Prior experience with building models, analyzing unstructured data, and/or machine learning
• Relevant academic experience and work experience in Statistics, with exposure to data structures and data visualization
• Master’s degree in Mathematics, Statistics, Engineering, Computer Science, or a quantitative discipline plus a minimum of 2-3 years of work experience, or bachelor’s degree plus 5 years work experience
• Well-developed written and oral communication skills, with ability to present and explain data to business manager
• Strong project management skills / experience managing projects, budgets, and schedules to successful completion
• Some prior exposure to financial services or insurance industry desired

All your information will be kept confidential according to EEO guidelines.