Data Scientist Job at RTA US, Mountain View, CA

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  • RTA US
  • Mountain View, CA

Job Description

Job Description

Job Description

Role: Data Scientist

Schedule: Hybrid – Mountain View CA

Duration: 6 months contract

Pay Range: $90/h - $110/h on W2, DOE

Job Responsibilities:

  • Data Analysis: Collaborate with data scientists, software engineers, and statisticians to analyze product accuracy and consistency. Develop dashboards and tools for continuous monitoring and generate on-demand reports for regressions and failure analysis.
  • Visualization: Design and implement visualization tools and dashboards for quality monitoring.
  • Data Engineering: Build pipelines for data acquisition, cleaning, aggregation, and analysis of benchmarking and telemetry data.
  • Collaboration: This role involves interaction with a remote team in Switzerland, requiring frequent early morning (approximately 8 am PST) meetings.

Required Skills:

  • Proficiency in Python, Pandas, and SQL.
  • Expertise in Python visualization libraries (Altair, Seaborn, Matplotlib).
  • Experience with data processing pipelines and visualization tools.
  • Experience in geographical data analysis and coordinate systems (Cartesian, Latitude/Longitude).
  • Experience with GIS tools and Google Earth Engine (JavaScript or Python).

Desired Skills:

  • Experience with statistical analysis and hypothesis testing.
  • Familiarity with geodetic datums, local tangent plane coordinates, projected coordinate systems, and Earth ellipsoid models.
  • Familiarity with georeferencing and surveying techniques.
  • Familiarity with R and C++.

Russell Tobin offers eligible employee’s comprehensive healthcare coverage (medical, dental, and vision plans), supplemental coverage (accident insurance, critical illness insurance and hospital indemnity), 401(k)-retirement savings, life & disability insurance, an employee assistance program, legal support, auto, home insurance, pet insurance and employee discounts with preferred vendors.

#LI-HP1

Job Tags

Contract work, Local area, Early shift,

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