Data Scientist

Compensation

: $81,316.67 - $131,130.00 /year *

Employment Type

: Full-Time

Industry

: Information Technology



Our client is in need of a Data Scientist. This is a 6 month right to hire opportunity in St. Louis, MO. If you re that person, submit your resume now!
LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation, and we're very interested in candidates who can help us. If you're that candidate, this opportunity is made for you!
Our client is seeking a Data Scientist who will be responsible for:
Connecting data points and helping draw analytical insights from disparate data sources and on pieces of information that may or may not be connected today. They should have a background in statistics, and/or visual data displays, and/or general data science.
Qualifications:
-5 years experience as a Data Analyst or Data Scientist
-Experience with predictive analytics
-Candidate must be able to effectively communicate in English (written & verbal)

To apply go to jobs.lrs.com.

LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on race, color, religion, creed, national origin, sex, age, disability, marital status, gender identity, domestic partner status, sexual orientation, genetic information, citizenship status or protected veteran status.


Optional Skills:
-Understanding of predictive analytics techniques leveraging machine learning algorithms
-Past experience with Tableau, Spotfire, or similar preferred
-Experience with Alteryx or similar a plus
-Ability to explain insights uncovered from analyses
-Background in statistics a plus
-sql, r, matlab, etc a plus
-experience with Hadoop Hive a plus * 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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