Data Scientist Talent Network
Weekday AI · Remote
The role
This role is a talent network for experienced data scientists, potentially working on future projects evaluating AI systems' data science performance. There is no immediate opening, but qualified applicants may be contacted as opportunities arise. Responsibilities may include designing grading criteria, evaluating work, and providing written justifications.
- Location
- Remote
- Level
- Mid
- Experience
- 1+ yrs
What we know that the posting doesn’t say
- Seen todaystill listed on the employer’s careers page
- Posted 2 days agothe first time we saw it
About Weekday AI
Weekday AI is building a network of experienced data scientists for potential future projects with leading AI research organizations.
What you would do
- Design precise grading criteria for data science deliverables
- Evaluate AI-generated or human-created work against criteria
- Provide detailed written justifications for evaluations
- Apply consistent, evidence-based judgment for reproducibility
- Incorporate feedback from senior reviewers and iterate
- Specific responsibilities vary depending on the project
Must have
- 1+ years of professional data science experience
- Experience at leading tech, research, or quant firm
- Strong command of Python, SQL, statistical modeling, machine learning
- Expertise in experimentation and causal inference
- Ability to translate messy real-world data into rigorous analyses
- Exceptional written communication for technical findings
- Detail-oriented and consistent approach to evaluating complex work
- Comfort receiving feedback and calibrating judgment
Experience and education
- 1+ years of relevant experience
Key skills
- python
- sql
- statistical modeling
- machine learning
- experimentation
- causal inference
- data analysis
- technical writing
This role is for one of our clients Compensation: $100-$150 per hour We are building a network of experienced data scientists for potential future projects with leading AI research organizations. These projects may focus on evaluating how effectively AI systems perform real-world data science work.…
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