Role : Optimization Data Scientist
Client : Keurig
Location : REMOTE
Duration : 6 Mos C
MOI : Phone/Skype
PLEASE ADVISE CANDIDATES THEY "MAY" BE REQUIRED TO ATTEND A VIDEO PRE-SCREEN PRIOR TO CLIENT SUBMISSION.
FULL LEGAL NAME (As it appears on GC-EAD/GC/US DL):
POSITION #:
YOUR LOCATION (City/State):
WILLING TO WORK 100% REMOTE DURING BUSINESS HOURS CT: Yes/No
WILLING TO CONVERT TO FTE/PERM (End Client) AFTER 6 MOS: Yes/No
Phone:
Email:
LINKEDIN URL:
ALL INCLUSIVE RATE (C2C): $
DOB (Month & Day):
RESIDENCY STATUS GC-EAD/GC/USC:
GC-EAD Expiration Date (Month/Day/Year):
THIS CLIENT COULD REQUIRE FULL VACCINATION FOR COVID-19 BY THE START DATE, ARE YOU INTERESTED IN EXPLORIING THIS POSITION: Yes/No
CURRENTLY ENGAGED WITH A CLIENT/PROJECT: Yes/No
AVAILABILITY TO JOIN UPON CONFIRMATION:
Optimization Data Scientist with a minimum of 5 years of experience, data analytics, operation research, engineering, mathematics, etc.
Extensive experience with one or more data science programming languages (Python, R, etc.) and optimization solvers (Gurobi, Cplex, LovalSolver).
Big Data technologies (e.g. Spark, Hadoop: MapReduce, Hive and Pig). Cloud-based platforms and technologies (Snowflake, GCP, Azure, AWS).
Experience in deploying optimization and data science solutions in a business environment. Deep knowledge of mathematical optimization (ideally have experience in manufacturing production schedule or process optimization solution development).
Statistical and predictive modeling concepts, machine learning approaches, clustering and classification techniques, and recommendation and optimization algorithms.
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