Application Support Statistician

  • 200 West St, Waltham, MA 02451, USA
  • Full-time

Company Description

A123 Systems, LLC develops and manufactures advanced lithium ion batteries and battery systems for the transportation, electric grid services and consumer markets. Headquartered in Massachusetts and founded in 2001, A123 Systems' proprietary nanoscale electrode technology is built on initial developments from the Massachusetts Institute of Technology. Among the companies selecting A123 batteries, battery systems and technology in the fields of transportation, grid energy storage and consumer products are AES Energy Storage, LLC, BAE Systems, The Black & Decker Corporation, BMW, Daimler, and Shanghai Automotive Industry Corporation. For additional information please visit www.a123systems.com.

Job Description

The Applications Support Statistician will perform statistical analyses and data investigations in support of battery design, validation, and root-cause analysis.  Examples of duties will include development of Designs of Experiment (DOE), scripting/programming in support of data workup (not software engineering), and sample and statistical power studies.  When available, the Applications Support Statistician will also contribute to battery validation efforts, including analysis of battery test data and product requirements.

The candidate is expected to have a strong background in statistics, with a BS majoring in Mathematics/Statistics or a minor with demonstrated proficiency in the more difficult classes.  The candidate is expected to have real-world experience applying statistics to challenging problems, either via employment experience or co-op/internship with a track-record as a self-starter.

The candidate will have demonstrated proficiency in coding/programming, especially scripting languages such as Python and Matlab.  The candidate is also expected to have a reasonable working knowledge of SQL-based databases, such as MS-SQL, MySQL, or similar.  Ability to do some light programming in C/C++/C# would be beneficial, but this position will not encompass formal software development or engineering.

 

The successful candidate will be very flexible, in terms of ability to support multiple disparate tasks as well as the ability to think flexibly in terms of problem solving approach.  This position will frequently deal with problems such as

  • “How many samples do we need to demonstrate a failure rate below 1% at the 95% confidence interval”?

  • “Please provide a DOE for 4 different variables, 3 levels each? How many variants are needed?”

  • “We have some messy data in Excel, it needs to be parsed, extracted, and plotted?”

  • “This database query is slow – how can we speed it up?”

 

This position will interface frequently with peers responsible for cell chemistry design, cell mechanical design, requirements, validation, process design, manufacturing, and many other functions.  As part of this role, the candidate will have the opportunity to learn the lithium-ion battery market, one of today’s most exciting industries.

 

Travel up to 15% (including international) required.

This position will report to Director, Design Analysis.

 

 

Qualifications

 

Education/Experience

  • BS in Mathematics or Statistics.Major preferred, but a minor is acceptable if candidate has demonstrated experience. MS with thesis is a plus.

  • Demonstrated experience applying mathematics to real-world problems.

  • Employment experience is preferred; co-op or internship acceptable for otherwise highly-qualified candidates. For candidates coming from University via co-op or internship, it is expected that the candidate can clearly show individual contributions to their employer and present their project.

  • Battery or automotive experience is a plus, but not required.

  • Coding experience and proficiency required in scripting languages, Python or Matlab preferred. Additional experience in a C/C++/C# variant in addition is a plus.

  • SQL database familiarity is expected.

  • Experience with formal root cause analysis or design of experiments (DOE) tools is preferred (Ishikawa, Six Sigma, or other)

  • Excellent oral and written communication skills.

Additional Information

All your information will be kept confidential according to EEO guidelines.