Remote Data Scientist: Insights, Modeling & Visualization

Crossing Hurdles; Turkey; On-site; TRY 150,000 - 210,000; Full time

Job summary

Crossing Hurdles in Turkey is seeking a data analyst to collect, clean, and preprocess diverse datasets and prepare them for analysis.

You will develop and validate statistical models to extract actionable insights, conduct exploratory data analysis, and present findings through visualizations for technical and non-technical stakeholders.

Collaborate with teammates on end-to-end data projects and continuously improve analytical methods and automation to enhance data workflows.

Qualifications

• Strong experience in statistics, mathematics, and data analysis techniques.
• Proven experience collecting, handling, and cleaning large, complex data sets.
• Proficient in programming languages such as Python or R for data manipulation and modeling.
• Strong data modeling skills with experience building and validating predictive models.
• Advanced data visualization skills using 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 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

Mathematics

Data analysis techniques

Tools

Python

R

Tableau

Power BI

Job description

Crossing Hurdles in Turkey is seeking a data analyst to collect, clean, and preprocess diverse datasets and prepare them for analysis.

You will develop and validate statistical models to extract actionable insights, conduct exploratory data analysis, and present findings through visualizations for technical and non-technical stakeholders.

Collaborate with teammates on end-to-end data projects and continuously improve analytical methods and automation to enhance data workflows.