Data Science Engineer - Machine Learning

Company:  Robotics Prcocess Automation, LLC
Location: Palo Alto
Closing Date: 22/10/2024
Salary: £250 Per Annum
Hours: Full Time
Type: Permanent
Job Requirements / Description

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: J36993

Specialized Area: Data Science

Job Title: Data Science Engineer - Machine Learning

Location: To Be Discussed Later

Duration: 7 Months

Domain Exposure: Healthcare, Insurance, IT/Software

Work Authorization: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Responsibilities:

  • Help drive data science projects from concept, development, and deployment to production.
  • Propose statistical or machine learning based model/methodology to solve the problem.
  • Propose accuracy measures and validation criteria for the model.
  • Implement and evaluate proposed model/methodology.
  • Provide deep technical guidance and mentorship to the entire team.
  • Work with product managers to formulate the ML product vision and design.

Qualifications:

  • Masters or Ph.D. in Computer Science, applied mathematics, or a related engineering discipline is essential.
  • 4+ years building data powered products.
  • Strong background in machine learning, statistics, and programming.
  • Proven track record of analyzing large-scale complex data sets, modeling and machine learning algorithms.
  • Expertise in at least one high level programming language like Java, Scala, C++ or Python (NumPy, SciPy, Pandas).
  • Expertise in at least one statistical modeling tools from among R, Matlab or Weka, is a plus.

ROBOTIC PROCESS AUTOMATION 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.

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