Data Scientist

Market Force is the leading provider of customer intelligence solutions and has brought a fresh twist and new excitement to customer experience research.

A mid-level position requiring excellent analytical skills and the ability to create business insights for large, multi-location clients

• Statistical analysis of customer intelligence data, including customer satisfaction surveys, field audits, mystery shop, contact center, and other data streams related to multi-location businesses. Analyses include descriptive statistics, text analytics, and linear regression.
• Ability to translate analyses into a meaningful story with powerful data visualizations. Data scientists MUST be able to translate complex analyses into a business story that drives decision-making for our clients using templates created by Market Force.
• Familiarity with traditional market research techniques like customer segmentation and/or loyalty brand tracking studies is a plus. Knowledge and experience with Customer Journey Mapping is a big plus.
• Supports client presentations on an as-needed basis.
• Leads or participates in the development of Market Force’s panel research program, including the development and fielding of questionnaires.
• Contributes to development of methodologies and processes for the team, including the Analytics and Insights Handbook.

Supervisory Responsibilities:

• None. May provide instruction to other colleagues in specialty areas like text analytics, data pulls and cleansing techniques, etc.

Education/Experience:

• Bachelor’s degree in statistics, mathematics, market research, the social sciences, or related quantitative disciplines with at least some graduate education in advanced statistical techniques.
• Two years of statistics or analytics research experience

Computer Skills

• A proficient user of IBM SPSS statistical software, particularly the Base package
• Demonstrated ability to create innovative and compelling data visualizations with exceptional PowerPoint skills. Experience with Tableau a plus.
• Exceptional skills with Excel
• Experience with “big data” a plus, including use of R, Hadoop, Pattern, Predictive Model Markup Language (PMML), and other tools related to machine learning

Language Ability:

• Excellent oral and written communication skills.

Reasoning Ability:

• Ability to define problems, collect data, establish facts, and draw valid conclusions.
• Ability to interpret instructions and deal with several abstract and concrete variables.
• Ability to query data in ways that produce meaningful insights to clients

Other

• Can thrive in a very fast-paced, highly demanding work environment at a growing company
• Results oriented and drives for success; displays sense of urgency and persistence until goals are met; motivated by working with cross-functional teams to achieve client success; applies problem-solving skills to overcome obstacles; entrepreneurial, displays initiative and takes ownership of work.
• Ability to deliver high quality work at high volume