W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters.
Job Overview
Job ID: J37719
Specialized Area: Machine learning
Job Title: Data Scientist with R, Machine Learning, Anomaly detection, d3.js
Location: Bay Area, CA
Duration: 8 Months
Domain Exposure: Government, Education, IT/Software
Work Authorization: To Be Discussed Later
Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)
Job Summary
Responsibilities:
- Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field
- 3+ years of experience in software or related industry
- 3+ years as a data scientist working on various data science projects
- Experience in developing machine learning models for real-world problems using Python or R
- Experience with SQL and big data technologies like Spark
- Experience in Deep Learning algorithms is a plus
- Experience in Cloud computing platforms like GCP is a plus
Equal Opportunity Employer
ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract.