Crossing Hurdles
Data Scientist | Remote
- Compensation
- 245–280 / hr
- Location
- Royaume-Uni
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Contract
- Experience
- Not specified
- Category
- Data science
- Posted
Skills
Must have
- Have strong relevant experience in applied statistics, experimental design, and machine learning.
- Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).
- Proven ability to develop, tune, and evaluate machine learning models in practical settings.
- Strong data modeling skills and experience managing structured and unstructured data.
- Excellent written and verbal communication skills, with a passion for clear technical documentation.
Full description
Position: Applied Scientist
Type: Contract
Compensation: $245 - $280/hour
Location: Remote
Commitment: 10-40 hrs/week
Role Responsibilities
- Design and execute statistical analyses to uncover actionable insights from complex datasets.
- Develop and validate machine learning models for various business or research objectives.
- Apply data modeling techniques and manage large-scale data transformations using Python and Pandas.
- Collaborate with stakeholders to define experimentation frameworks and analyze outcomes.
- Document methodology, findings, and recommendations with a focus on clarity and precision.
- Review peer contributions and provide high-quality feedback to support knowledge sharing.
Requirements
- Have strong relevant experience in applied statistics, experimental design, and machine learning.
- Expertise in Python, including proficiency with libraries such as Pandas and scikit-learn (sklearn).
- Proven ability to develop, tune, and evaluate machine learning models in practical settings.
- Strong data modeling skills and experience managing structured and unstructured data.
- Excellent written and verbal communication skills, with a passion for clear technical documentation.
Application Process
- Easy Apply on LinkedIn
- Check email for next steps
- Participate in resume evaluation \& interview stage