Senior Data Scientist and Data Engineering Experts

Remolity, Inc.; United Kingdom; Remote; GBP 41,000 - 71,000; Full time

Benefits offered by this job

Weekly payments

Job summary

Mercor is partnering with a leading AI research lab to recruit senior data scientists and data engineers. The role is fully remote and open to candidates in the United States, United Kingdom, Canada, Australia and New Zealand.

You will design challenging data science and engineering tasks, create clear evaluation criteria, and ensure analyses are rigorous and reproducible. You will work with top-tier firms and finance leaders, communicating complex findings in clear English and contributing to

Qualifications

• 4+ years of professional data science, data engineering or ML experience at leading tech/quant firms or financial institutions.
• Strong command of Python, SQL, statistical modeling, ML, experimentation and causal inference.
• Excellent written English and ability to explain technical findings clearly.

Responsibilities

• Design realistic data science and data engineering tasks including exploratory analyses, modeling, ML pipelines, ETL and Python workflows.
• Write precise, task-specific criteria for deliverables to illustrate what good looks like.
• Apply evidence-based judgment to ensure assessments are reproducible and defensible.
• Incorporate structured feedback from senior reviewers and iterate on submissions.

Skills

Python

SQL

Statistical modeling

ML engineering

English writing

Data storytelling

Education

Bachelor's degree from an English-speaking country

Job description

Mercor Software Engineering Featured Jobs Special Referral

Senior Data Scientist and Data Engineering Experts

Remote - United States, United Kingdom, Canada, Australia and New Zealand

About the role

Mercor is working with a leading AI research lab on a project to improve how AI systems do real-world data science and data engineering work. We're looking for senior data scientists and data engineers who have deep experience at top technology, quantitative or financial firms. You'll use that expertise to train and evaluate frontier AI models. This role is open to candidates based in the United States, United Kingdom, Canada, Australia or New Zealand.

Scope of Work

• Designing realistic, challenging data science and data engineering tasks, including but not limited to exploratory analyses, statistical modeling, machine learning pipelines, ETL and data pipeline design, SQL and Python workflows, and experimentation or A/B test write-ups
• Illustrating "what good looks like" by writing precise, task-specific criteria for data science and data engineering deliverables
• Applying consistent, evidence-based judgment so that assessments are reproducible and defensible
• Taking structured feedback from senior reviewers and iterating on submitted work

What you’ll bring

• 4+ years of professional data science, data engineering or machine learning experience in one of these settings: A leading technology or quantitative firm (such as FAANG+, Magnificent 7+, top-tier quant funds or equivalent) with a Mid-senior level title. Applied Scientist, Research Scientist and Machine Learning Engineer/Scientist roles also qualify. A top financial institution (a leading bank, hedge fund or trading firm) A top-tier consulting firm, working as a data scientist A Fortune 100 company, with a senior or manager-level title
• Experience may be split across more than one qualifying employer
• Strong command of Python, SQL, statistical modeling, machine learning, experimentation and causal inference
• Proven ability to turn messy real-world data into rigorous analyses and reliable pipelines
• Excellent written English, including the ability to explain technical findings clearly
• Bachelor's degree from an English-speaking country
• A detail-oriented, consistent approach to evaluating complex work
• Comfortable receiving feedback and calibrating judgment against set standards

Not provided in the source listing.

Contract & Payment Terms

• We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
• You will be engaged as an independent contractor.
• This is a fully remote role that can be completed on your own schedule.
• Projects can be extended, shortened, or concluded early depending on needs and performance.
• Your work at Mercor will not involve access to confidential or proprietary information from any employer, client, or institution.
• Payments are weekly on Stripe or Wise based on services rendered.
• Please note: We are unable to support H1-B or STEM OPT candidates at this time.

Where you can work

This role is open to people based in: United States, United Kingdom, Canada, Australia, New Zealand.

Remote does not always mean work from any country. Always check the employer's location and working-hour requirements.