Data Scientist
at Locately in Boston, MA
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May 09, 2013
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Overview
Are you intellectually curious and have an interest in harnessing novel technologies to help consumer packaged goods manufacturers better understand their shoppers? As a Data Scientist at Locately, you will work at the forefront of the emerging field of location analytics, analyzing location data and survey responses and developing novel algorithms to generate meaningful intelligence that gives our clients a competitive edge.
We are seeking a highly motivated, innovative Data Scientist with strong interpersonal skills to play an integral role in developing the next generation of algorithms and reporting analytics to produce the actionable shopper insights we deliver to our clients. As a Data Scientist, you will creatively utilize data mining and statistical signal processing techniques to mine our rich datasets, conduct statistical analyses, develop algorithms, deliver reporting outputs, and collaboratively generate recommendations based on your findings in support of high-impact, actionable deliverables.
We are seeking a highly motivated, innovative Data Scientist with strong interpersonal skills to play an integral role in developing the next generation of algorithms and reporting analytics to produce the actionable shopper insights we deliver to our clients. As a Data Scientist, you will creatively utilize data mining and statistical signal processing techniques to mine our rich datasets, conduct statistical analyses, develop algorithms, deliver reporting outputs, and collaboratively generate recommendations based on your findings in support of high-impact, actionable deliverables.
Skills
A Masters degree in computer science, engineering, mathematics, statistics, or behavioral / social science
A minimum 2 years work experience as a Data Scientist or Research Analyst. Experience in Consumer Insights or Shopper Insights is preferred.
Experience with data mining techniques and algorithms, e.g. decision trees, clustering, support vector machines, naïve bayes
Experience with statistical signal processing techniques, e.g. Wiener filters, Kalman filters, maximum likelihood estimation, hidden Markov models
Intermediate to advanced skills in statistics, including descriptives, crosstabs, parametric and non-parametric tests, linear regression, logistic regression, factor analysis, and survival analysis
Experience with Python, R, and SPSS is preferred
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