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Job Overview

  • Job ID:

    J37719

  • Specialized Area:

    Machine learning

  • Job Title:

    Data Scientist with R, Machine Learning, Anomaly detection, d3.js

  • Location:

    san francisco,CA

  • Duration:

    12 Months

  • Domain Exposure:

    Government, Education, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2, 1099(C2C)




Job Description

Job Description

Job Summary
Data Scientist
Bay Area, CA
Long Term

• Masters/Bachelor degree in Statistics/Applied Math/Operational Research/Computer Science or related field
• 3+ experience of working experience in software or related industry
• 3+ experience as data scientist working on various data science projects.
• Experienced 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

Job Type: Contract


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Equal Opportunity Employer

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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