KS&R, an AMA Gold Report Top 50 marketing research firm in Syracuse, New York is seeking a Statistician to support growing needs in our Marketing Sciences organization.
Working out of Syracuse would be preferred, but NOT required.
KS&R offers a competitive salary/bonus/benefits package which will be negotiated based upon experience and skill set.
The ideal candidate will have:
a Ph.D. in statistics, mathematics, or related field,
at least two years marketing research experience; with supplier-side experience preferred,
creative problem solving capabilities to collaborate on new approaches, designs, and new statistical methods,
hands-on experience with choice-based research design and analysis,
working knowledge of SPSS, SAS, and R computing software packages,
working knowledge of data mining techniques and approaches,
strong skills in Excel (VBA programming knowledge a plus),
a high level of statistical aptitude and passion,
exceptional communications skills (both written and verbal) with ability to communicate directly with clients who will be a mix of internal KS&R employees and external end-clients,
strong business acumen to help communicate WHY a certain approach, technique, or methodology is ideal for a certain business situation, and
the ability to learn quickly and function in a fast-paced environment.
KS&R celebrating our 35th year serves a mix of clients worldwide, primarily focused in Technology, EnterComm (media/telecommunications), Healthcare, Business Services, and Consumer/Retail segments. Our Marketing Sciences organization is a centralized function which supports a diverse set of clients across each of these verticals.
Visit KS&R online at www.ksrinc.com for additional company information. Interested candidates please forward cover letter, resume, and references to ...@ksrinc.com with the subject line STATISTICIAN.
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.