Senior Statistician (Product Manufacturing)


: $80,210.00 - $123,620.00 /year *

Employment Type

: Full-Time


: Scientific Research


Kforce has a client in search of a Senior Statistician (Product Manufacturing) in Austin, TX. Key Tasks:
  • Act as a plant resource to create and maintain processes for statistically evaluating data used in existing products for cost reductions, performance improvements or which enable the development of new products; Use appropriate statistical tools to define problems and propose solution approaches to issues posed by internal commercial, operational, quality, or external regulatory requirements; Statistical tools include, but are not limited to: statistical design of experiments, regression analysis, analysis of variance, distribution fitting and prediction, confidence intervals, acceptance sampling, population modeling, attribute/categorical analysis, capability analysis, nonparametric methods, and statistical process control charting
  • Analyze and interpret information, whether it be test data, published scientific papers and patents or raw material vendor-supplied information; Demonstrate the ability to absorb and reduce such information to practical actions and recommendations
  • Provide statistical assistance in setting up sampling plans for evaluation of new products and amended processes
  • Provide statistical expertise to site Technical, Quality, Engineering and Operations leadership to aid in the strategic and tactical decision-making process
  • Communicate effectively (verbally and in writing) across disciplines and with internal and external stakeholders on technical statistical questions
  • Plan, conduct and rigorously document analyses in technical memos and reports in support of product and process development, refining the manufacturing process for existing products, cost reduction, or and process improvement of existing products
  • Ensure that statistical analyses meet the requirements of all relevant regulatory agencies; Act as the SME on fundamental statistical questions with internal and external regulatory representatives

Job Requirements:


  • Requires a Bachelor's degree in Statistics or Biostatistics
  • ASQ Certified Quality Engineer and Six Sigma Green Belt preferred
  • Requires 3-5 years of statistical analysis experience in the pharmaceutical or equivalently regulated field (aviation, food, etc.); Experience in a product/process development environment desired
  • Experience in Product manufacturing, consumer goods, -making items-, food service, chemical manufacturing, because dealing with manufacturing issues, sampling plans, vital in the role and data, needs someone who is creative and help with a statistically sound methodology to determine quality impact and if it's SAFE
  • Superior statistical process control and problem-solving skills required
  • The candidate should have problem solving skills and the ability to correlate the statistical findings with potential process improvement opportunities and experience in planning and interpreting the results of Design of Experiments (DOE)
  • Must have project management experience or project development experience with demonstrated successful results
  • Experience with data analysis computer tools, word-processing, spreadsheet and presentation software required (e.g. Minitab, MS Word, Excel, Access, Infinity QS, JMP)
  • The incumbent should have experience in implementing and maintaining a statistical process control program for a manufacturing operation
  • Typically requires travel less than 5% of the time
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Associated topics: biostatistics, data analyst, probability, statistics, c * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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