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ميركور

Data Scientist - ML Specialist

Mercor

Remote · عقد

كن أول من يتقدم بطلب

خبرة
أكثر من 3 سنوات
مرتب
USD 60 – USD 100 / hour
الوظائف الشاغرة
1
تم النشر
ستارة
وضع العمل
العمل من المنزل
تعليم
درجة البكالوريوس
الأهلية
Professionals with at least 3 years of relevant data science or applied analytics experience and a bachelor's degree from the specified countries may apply. The role is suited to candidates who can work remotely and commit 20 to 40 hours per week.
سيرة ذاتية
مطلوب للتقديم

المسمى الوظيفي

About the role

Mercor works with high-calibre creative and technical professionals and places them with leading AI research teams. The company is based in San Francisco and is backed by investors such as Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Role overview

This opening is for exceptional data scientists to support machine learning-focused projects in a remote contract setup. The engagement calls for 20 to 40 hours per week, with compensation set at $60 to $100 per hour.

What you'll do

  • Plan experiments and collect the right data for machine learning use cases.
  • Clean, prepare, and study large datasets to develop predictive systems.
  • Test and strengthen AI models using tools such as TensorFlow or PyTorch.
  • Partner with engineering teams to take solutions from analysis to production.
  • Draft, assess, and verify prompt-based questions used in AI model training.
  • Work on your own, manage tasks asynchronously, and stay on track with deadlines while improving model quality.

What we're looking for

  • At least 3 years of professional experience in data science or applied analytics.
  • Strong command of Python and Jupyter notebooks.
  • Hands-on exposure to libraries such as NumPy, pandas, SciPy, SymPy, scikit-learn, torch, and TensorFlow.
  • A bachelor's degree in data science, statistics, computer science, or a closely related field from the U.S., Canada, New Zealand, the UK, or Australia.
  • Solid experience with exploratory data analysis, statistical inference, machine learning pipelines, model assessment, feature engineering, preprocessing, data wrangling, A/B testing, experimentation, or causal inference.
  • Clear verbal and written communication skills.
  • Sharp attention to detail.

Start date

The expected start window is early September. Applications are being reviewed as they come in.

Application process

The application can be completed in about 20 to 30 minutes. Candidates should share a resume or project portfolio and then fill out a short form about their technical background and experience using agents. Shortlisted applicants will be contacted with the next steps.

Resources and support

For interview details and platform information, refer to the provided documentation. For assistance, contact the support team by email.

Additional information

Please note that the team reviews applications every day, and completing the AI interview and application steps is required to be considered.

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