Job Description


Job Overview

  • Job ID:

    J37023

  • Job Title:

    Data Analyst / Data Scientist

  • Location:

    San Diego, CA

  • Duration:

    12 Months + Extension

  • Hourly Rate:

    Depending on Experience (DOE)

  • 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

- 5+ years of experience working in a data scientist and/or data analyst capacity.
- Advanced to expert-level experience in Python, R, or another advanced data programming language.
- Strong communication and collaboration skills.
- Ability to write and present results to both technical and non-technical audiences.
- Experience designing and conducting complex projects.
- Bachelors Degree or higher in Computer Science, Statistics, Mathematics or related field is preferred.

 

 

tags: data scientist, data analyst, database analyst, data engineer, database engineer, data architect, bi engineer, business intelligence engineer, bi developer, business intelligence developer, bi analyst, business intelligence analyst

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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