Data Scientist | $100/hr Remote | Mercor

Crossing Hurdles; United States; Remote; USD 82,656 - 137,760; Part time

Job summary

A data analytics company is seeking a Mid-Senior Data Scientist to work remotely. The role will include hands-on data science tasks such as designing experiments and building models, in a fully asynchronous setup. Ideal candidates will have strong professional experience in data science, along with skills in Python and relevant libraries. The pay ranges from $60 to $100 per hour, offering flexibility of 10 to 40 hours per week with potential for extension.

Qualifications

• Strong professional experience in data science or applied analytics.
• Experience with Python and various data science libraries.
• Background in exploratory data analysis, machine learning, or A/B testing.

Responsibilities

• Design experiments and perform hands-on data science tasks.
• Gather and preprocess data.
• Build and evaluate models with engineering teams.
• Ensure output quality through peer collaboration.

Skills

Data science experience

Python

Jupyter notebooks

numpy

pandas

scikit-learn

machine learning

Torch

TensorFlow

Job description

Data Scientist | $100/hr Remote | Mercor

Apply for the Data Scientist role at Crossing Hurdles.

Base pay range

$60.00/hr - $100.00/hr

Organization: Mercor

Position: Data Scientist

Referral partner: Crossing Hurdles

Type: Hourly Contract

Compensation: $60‑$100/hour

Location: Remote

Duration: Approximately 2 months (extension feasible)

Commitment: 10‑40 hours per week, fully asynchronous

Role Responsibilities

• Focus on hands‑on data science tasks, such as designing experiments


• Gathering and preprocessing data


• Building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions


• Ensure output consistency and quality through collaboration with peers and feedback from reviewers

Ideal Qualifications

• Have strong professional experience in data science or applied analytics.


• Skilled in Python and Jupyter notebooks.


• Have experience using libraries including numpy, pandas, scipy, sympy, scikit‑learn, torch, tensorflow.


• Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference.

Application Process

• Upload resume


• AI interview based on your resume (15 min)

Seniority level

Mid‑Senior level

Employment type

Contract

Job function

Analyst, Engineering, and Information Technology

Industries

Information Services