This role partners with internal and external clients and data providers, leveraging predictive analytics and advanced statistical techniques to drive strategic thought and effective decision making. The Data Science Director, plans, manages and controls the activities of teams of statisticians that provide advanced statistical solutions for our clients
This position requires an individual with a combination of computational and analytical skills. The candidate should have a solid foundation in computer science and statistics/math with well-honed skills in the following areas:
o experience with both structured and unstructured data, and Hadoop or similar technologies
o able to identify, join, explore and examine data from multiple disparate sources and formats
o ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed
o ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc.
· Statistics & Modeling
o knowledge of statistical theories and techniques commonly used in prediction and optimization models
o ability and desire to go beneath the surface of a problem and distill it into a clear set of hypotheses that can be tested
o Design, plan, and manage projects from start to finish & produce data-driven results with appropriate techniques to answer key business questions
o mastery of statistical programming languages such as R and Python
· Machine Learning
o experience with machine learning algorithms, such as k-nearest neighbors, random forests and ensemble methods and their corresponding implementation packages in R or Python
o understand when it is appropriate to use different techniques
o experience with distributed computing, such as Hadoop, Spark or related technologies
· Software Development
o the ability to write code in programming languages such as SAS, Java, R, and Python
o capable of developing prototypes and fashion their own tools to conduct analytic research
Qualifications
Advanced degree (Master’s/PhD) in Statistics, Computer Science or other quantitative discipline
Minimum of 8 years of related experience
Minimum 5 years proven managerial or supervisory experience
Solid planning, priority setting, and project management skills with experience managing multiple projects and resources concurrently
Excellent verbal and written communications skills and good at developing relationships across diverse teams, including marketing and account teams
Mastery of various statistical methodologies such as regression analysis (linear and non-linear), cluster analysis, CHAID, time series, survival models
Experience with machine learning
Experience with SQL, Scala, Python or Java
Proficiency in at least one open source statistical program like R and KNime
Working knowledge of Hadoop and other big data technologies
Strong understanding of Statistics and modeling techniques
Strong analytic thought process and ability to interpret findings
Ability to work on multiple assignments concurrently
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