Jobs

SUMMARY: We are seeking a Statistician who will apply data discovery techniques to large sets of feature, process and purchasing trend data for fortune 100 companies. The analysis will lead to the development of analytical modules that will define relationships which optimize the cost of a family of similar parts.

FLSA Status: Exempt
Prepared Date: 2005

Akoya is a venture funded, business intelligence software company that delivers packaged analytical applications to large manufactures. The Akoya software enables its customers to better understand their internal information and gain a competitive advantage in their markets. Akoya has been developed as a joint commercialization effort between Arch Development (a Chicago-based venture capital firm), Caterpillar, Inc., and the management team. Akoya's initial product, CostPoint, is a web-based, decision support tool for cost management of direct material parts. The tool was initially developed and tested at Caterpillar and includes world-class, business intelligence technology from one of the premiere Midwest universities.

ESSENTIAL DUTIES AND RESPONSIBILITIES include the following:

• Investigate appropriate methods and computational algorithms.
• Develop methods for modeling and analyzing quantitative data collected during client engagements.
• Develop and implement techniques for visualizing and presenting above data and analysis results.
• Develop and implement research approaches and methodologies for client's engagements.
• Evolve and validate new and existing research tools.
• Apply quantitative and relatively advanced statistical concepts to large datasets.
• Design and implement software for the analytic models.
• Document methodologies, models and software.
• Keep abreast of recent statistical and data mining innovations and trends developed at leading universities.
• Publish research for periodicals or press.
• Create data extraction and cleaning tools.
• Interact with Akoya's senior management team (COO, CTO, and CSO) on a regular basis. May prepare weekly status report for management highlighting accomplishments and progress as well as issues and concerns that may jeopardize project schedules.

• Excellent verbal and written communication skills.
• Confidence and ability to relate professionally to a wide range of individuals.
• Strong analysis and decision making ability.
• Punctual, responsive, reliable and responsible. Self-motivated and enthusiastic. Rigorous, independent thinker. Strong initiative.
• Able to work with minimal supervision and in both an independent and team environment.
• Exceptional proficiency with Excel (graphical functions and VBA) a plus.
• Able to multi-task and demonstrate strong organizational skills. Possess a commitment to taking tasks through to completion.
• Strong background in data analysis a must.
• Knowledge of regression and modeling techniques, nonlinear models, optimization algorithms.
• Knowledge of multi-dimensional visualization techniques.
• Experience with large data analysis project. Experience working with large data sets.
• Exposure to predictive models preferred.
• Proficiency with mathematical and statistical packages such as R(S+), SAS, Stata, Matlab, or SPSS a must.
• Experience using non-commercial data discovery tools developed at universities.
• Experience with Java, J2EE, SQL a plus.
• Excellent computer programming and data manipulation skills.

• Master's degree in statistics or related field or BS degree statistics or related field and 3-5 years experience.
• Demonstrated ability to manage multiple projects or multiple facets of a large project. Ability to meet stated deadlines.
• Past experience in the fields of procurement and engineering is highly desired.
• Experience in statistical analysis, data discovery, data mining, and statistical modeling with large data sets.
• Proven ability to turn research into working software algorithms.

Contact:
Denise Kestner, dkestner@sbcglobal.net