Data Analyst | $100/hr Remote

Crossing Hurdles; Australia; Remote; AUD 82,656 - 137,760; Part time

Job summary

A data-focused company is seeking a Data Analyst for a remote hourly contract position. Ideal candidates should have strong experience in data science, proficiency in Python and machine learning frameworks, and a Bachelor's degree in a related field. Responsibilities include designing experiments, collaborating with engineering teams, and analyzing datasets. This part-time role offers flexible hours and a competitive pay range of $60 to $100 per hour.

Qualifications

• Strong professional experience in data science or applied analytics.
• Strong background in exploratory data analysis and statistical inference.
• Excellent verbal and written communication skills.

Responsibilities

• Design experiments and build models.
• Collaborate with engineering teams on solutions.
• Analyze large datasets and build predictive models.

Skills

Data science expertise

Python proficiency

Experience with Jupyter Notebooks

Machine learning frameworks

Data analysis skills

Education

Bachelor's degree in data science or related field

Tools

TensorFlow

PyTorch

numpy

pandas

scikit-learn

Job description

Data Analyst | $100/hr Remote

Company: Crossing Hurdles

Base pay range: $60.00/hr – $100.00/hr

Position: Exceptional Data Scientists

Referral Partner: Crossing Hurdles

Type: Hourly contract

Compensation: $60–$100 per hour

Location: Remote

Duration: Minimum 1 month, with potential extension based on project scope and performance

Commitment: 10-40 hours/week, flexible and asynchronous

Role Responsibilities

• Design experiments, gather and preprocess data, build and evaluate models.
• Collaborate closely with engineering teams to deploy production-ready solutions.
• Write, review, and validate prompt-based questions used to train AI systems.
• Work proficiently in Python and Jupyter Notebooks.
• Utilize machine learning frameworks like TensorFlow or PyTorch.
• Analyze large datasets and build predictive models.

Requirements

• Strong professional experience in data science or applied analytics.
• Highly skilled in Python and Jupyter Notebooks.
• Experience with libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow.
• Bachelor’s degree in data science, statistics, computer science, or related field.
• Strong background in exploratory data analysis, statistical inference, machine learning workflows, model evaluation, feature engineering, data preprocessing, A/B testing, and causal inference.
• Excellent verbal and written communication skills.
• Strong attention to detail.

Application Process

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

Seniority Level

Mid-Senior level

Employment Type

Contract

Job Function

Research

Industries

IT System Data Services

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