Data Scientist | $56 / hr Remote | Mercor

Crossing Hurdles; Remote; GBP 125,000 - 150,000; Part time

Job summary

A leading AI research firm is seeking a Data Scientist (Kaggle Grandmaster) to analyze complex datasets and build predictive models. This remote role offers an hourly contract, requiring a commitment of 10–40 hours per week. Ideal candidates will possess strong experience in data science, proficiency in Python and key libraries, along with exceptional communication skills. Responsibilities include automating workflows, experiment design, and collaborating with teams to productionize models at scale.

Qualifications

• Kaggle Grandmaster or equivalent achievement required.
• Strong experience in data science or ML-driven research expected.
• Proficiency in Python and related libraries essential.

Responsibilities

• Analyze complex datasets for actionable insights.
• Build predictive models and ML pipelines.
• Automate workflows and conduct exploratory data analysis.

Skills

Data analysis

Predictive modeling

Machine learning

Data storytelling

Experiment design

Tools

Python

Pandas

NumPy

scikit-learn

SQL

Job description

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting‑edge AI models.

Organization

Mercor

Position

Data Scientist (Kaggle Grandmaster)

Referral Partner

Crossing Hurdles

Type

Hourly Contract

Compensation

$56 / hour

Location

Remote

Commitment

10–40 hours / week

Role Responsibilities (Training support will be provided)

• Analyze large, complex datasets to identify patterns and generate actionable insights.
• Build high‑performing predictive models, statistical analyses, and ML pipelines across varied data types.
• Design and implement rigorous experiment frameworks and validation strategies.
• Automate workflows, feature pipelines, and reproducible research environments.
• Conduct exploratory data analysis, hypothesis testing, and interpret modeling outcomes.
• Collaborate with ML engineers and research teams to productionize models at scale.
• Present findings through clear documentation, dashboards, and reports.

Requirements

• Kaggle Competitions Grandmaster or equivalent achievement (multiple medals or top‑tier rankings).
• Strong experience in data science, analytics, or ML‑driven research.
• Proficiency in Python and key libraries such as Pandas, NumPy, Polars, and scikit‑learn.
• Solid knowledge of experiment design, causal inference, and statistical modeling.
• Familiarity with SQL, distributed data systems, and experiment tracking tools.
• Excellent communication and data storytelling skills.

Application Process (Takes 20 min)

• Upload resume
• AI interview based on your resume (15 min)
• Submit form