Epsilon - Senior Manager - Data Science

The Data Science Sr. Manager, 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:

Data Management

- Experience with both structured and unstructured data, and Hadoop or similar technologies

- Able to identify, join, explore and examine data from multiple disparate sources and formats

- Ability to reduce large quantities of unstructured or formless data and get it into a form in which it can be analyzed

- Ability to deal with data imperfections such as missing values, outliers, inconsistent formatting, etc.

Statistics & Modeling

- Knowledge of statistical theories and techniques commonly used in prediction and optimization models

- Ability and desire to go beneath the surface of a problem and distill it into a clear set of hypotheses that can be tested

- Design, plan, and manage projects from start to finish & produce data-driven results with appropriate techniques to answer key business questions

- Mastery of statistical programming languages such as R and Python

Machine Learning

- Experience with machine learning algorithms, such as k-nearest neighbors, random forests and ensemble methods and their corresponding implementation packages in R or Python

- Understand when it is appropriate to use different techniques

- Experience with distributed computing, such as Hadoop, Spark or related technologies

Software Development

- The ability to write code in programming languages such as SAS, Java, R, and Python

- Capable of developing prototypes and fashion their own tools to conduct analytic research

Qualifications

- Advanced degree (Masters/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

In addition, the candidate should have strong business acumen, and interpersonal and communication skills, yet also be able to work independently. He/she should be able to communicate findings and the way techniques work in a manner that all stakeholders, both technical and non-technical, will understand.