{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Data Scientist | Remote”, “description”: “
Position
Data Scientist
Type
Contract
Compensation
$30 – $130/hour
Location
Remote
Commitment
10-40 hrs/week
Role Responsibilities
- Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
- Develop, validate, and implement statistical models to extract actionable insights from complex data.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
- Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
- Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
- Continuously improve analytical methodologies and automation processes to enhance data workflows.
Requirements
- Have strong relevant experience in statistics, mathematics, and data analysis techniques.
- Have proven experience in collecting, handling, and cleaning large, complex data sets.
- Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
- Possess strong data modeling skills with experience in building and validating predictive models.
- Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
Company: Crossing Hurdles
Location:
Job Description:
Position
Data Scientist
Type
Contract
Compensation
$30 – $130/hour
Location
Remote
Commitment
10-40 hrs/week
Role Responsibilities
- Collect, clean, and preprocess diverse data sets to ensure integrity and readiness for analysis.
- Develop, validate, and implement statistical models to extract actionable insights from complex data.
- Conduct exploratory data analysis to identify trends, patterns, and opportunities for business improvement.
- Present findings and recommendations through compelling data visualizations and reports, tailored for technical and non-technical stakeholders.
- Collaborate closely with team members to design and execute end-to-end data projects, from ideation to delivery.
- Continuously improve analytical methodologies and automation processes to enhance data workflows.
Requirements
- Have strong relevant experience in statistics, mathematics, and data analysis techniques.
- Have proven experience in collecting, handling, and cleaning large, complex data sets.
- Be proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
- Possess strong data modeling skills with experience in building and validating predictive models.
- Have advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.
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Posted: May 20th, 2026