Data Scientist | Remote

Crossing Hurdles; United States; On-site; USD 70,000 - 90,000; Full time

Job summary

Crossing Hurdles is seeking a data professional to collect, clean, and preprocess diverse data sets. The role involves the development and implementation of statistical models, conducting exploratory analysis, and delivering insights through compelling visualizations.

The ideal candidate will be proficient in statistical techniques and programming languages like Python or R, as well as tools such as Tableau or Power BI. Strong collaboration skills are essential as you will work closely with team members on data projects.

Qualifications

• Strong relevant experience in statistics, mathematics, and data analysis techniques.
• Proven experience in collecting, handling, and cleaning large, complex data sets.
• Proficient in programming languages such as Python, R, or similar for data manipulation and modeling.
• Strong data modeling skills with experience in building and validating predictive models.
• Advanced ability to visualize data using tools like Tableau, Power BI, or related libraries.

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.

Skills

Statistics

Data analysis techniques

Python

R

Data visualization

Tableau

Power BI

Job description

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.