Remote Data Scientist: Predictive Modeling & Dashboards

Appspringtech; Bogotá; Híbrido; COP 291.046.000 - 388.061.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Professional development budget

Access to large datasets

Competitive remuneration

Descripción de la vacante

Appspringtech seeks a Data Scientist with strong mathematical foundations and programming skills to implement predictive systems and visual reports. You will develop machine learning models, design data pipelines, and build dashboards for non-technical stakeholders.

Join a remote, growth-minded team offering USD or local currency remuneration, a professional development budget, and access to large-scale datasets from leading startups.

Formación

• 3+ years of professional experience as a Data Scientist or Data Analyst.
• Deep proficiency in Python, including libraries like Pandas, NumPy, Scikit-Learn, and SQL databases.
• Familiarity with data visualization tools (Tableau, PowerBI) or custom libraries (D3.js, Plotly).
• Strong understanding of probability, statistics, regression, and clustering methods.
• Conversational English to present insights directly to North American executives.

Responsabilidades

• Develop predictive machine learning models and statistical systems to solve complex business problems
• Design and automate high-throughput data extraction, cleaning, and preprocessing pipelines
• Build interactive dashboard reports and statistical visualizations for non-technical stakeholders
• Formulate and test statistical hypotheses to optimize product funnels and marketing performance
• Collaborate with database engineers to structure data warehouses and query optimizations

Conocimientos

Python

Statistics

Machine Learning

Educación

3+ years Data Scientist/Analyst

Herramientas

Pandas

NumPy

Scikit-Learn

SQL

Descripción del empleo

Appspringtech seeks a Data Scientist with strong mathematical foundations and programming skills to implement predictive systems and visual reports. You will develop machine learning models, design data pipelines, and build dashboards for non-technical stakeholders.

Join a remote, growth-minded team offering USD or local currency remuneration, a professional development budget, and access to large-scale datasets from leading startups.