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Mercor

Data Scientist - ML Specialist

Mercor

Remote · Sözleşme

Başvuran ilk kişi siz olun

Deneyim
3+ yaş
Maaş
60 – 100 ABD Doları / saat
Açılışlar
1
Yayınlandı
6 saat önce
Çalışma modu
Evden çalışma
Eğitim
lisans
Uygunluk
ABD, Kanada, Yeni Zelanda, İngiltere veya Avustralya'dan ilgili bir alanda lisans derecesine sahip ve veri bilimi veya uygulamalı analitik alanında 3 yıldan fazla deneyime sahip profesyoneller başvurabilir. Pozisyon uzaktan çalışma imkanı sunmaktadır ve haftada 20 ila 40 saat ayırabilecek adaylar için uygundur.
Sürdürmek
Başvuru yapılması gerekmektedir.

İş tanımı

About the Role

This opportunity is for highly capable data scientists who will support machine learning work for leading AI research teams. The company connects top creative and technical talent with AI labs and is backed by well-known investors based in San Francisco.

Position Details

The role is a contract engagement, offered remotely, with a weekly commitment of 20 to 40 hours. Compensation is paid at an hourly rate of USD 60 to USD 100.

Key Responsibilities

  • Plan experiments and assemble datasets for machine learning use cases.
  • Prepare, clean, and examine large-scale data to support predictive modeling.
  • Assess and refine AI models using tools such as TensorFlow and PyTorch.
  • Partner with engineering teams to bring solutions into production.
  • Draft, review, and check prompt-style questions used for AI training.
  • Operate independently in an asynchronous setup and deliver work on schedule while improving model quality.

Required Qualifications

  • At least 3 years of professional experience in data science or applied analytics.
  • Advanced working knowledge of Python and Jupyter notebooks.
  • Hands-on experience with libraries such as NumPy, Pandas, SciPy, SymPy, scikit-learn, Torch, and TensorFlow.
  • A bachelor's degree in data science, statistics, computer science, or a related field from the U.S., Canada, New Zealand, the UK, or Australia.
  • Strong capability across exploratory data analysis, statistical inference, machine learning pipelines, model assessment, feature engineering, preprocessing, data wrangling, A/B testing, experimentation, or causal inference.
  • Excellent spoken and written communication abilities.
  • Strong focus on accuracy and detail.

Application Timeline

Applications are being reviewed on an ongoing basis, and the expected start window is early September. The application process is designed to take about 20 to 30 minutes and includes sharing a resume or project portfolio, followed by a short form about technical background and experience using AI agents. Selected candidates will be contacted with the next steps.

Support and Additional Information

For interview-process details and platform guidance, applicants can refer to the provided documentation. Support is available through the company help email.

Important Notes

The team reviews applications daily, and candidates must complete the AI interview and all application steps to be considered for the role.

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