Remote Data Scientist: Predictive Modeling & Dashboards

Appspring Tech; Bogotá ciudad; Híbrido; COP 293.026.000 - 423.260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote work

Courses budget for professional growth

Cloud certifications support

Access to large-scale datasets

Descripción de la vacante

Appspring Tech is seeking a Data Scientist to implement predictive systems and create insightful dashboards. You will build ML models, automate data pipelines, and develop visual reports for executive audiences.

You will collaborate with data engineers to optimize data warehouses and enable data-driven decision making across marketing and product teams. Proficiency in Python and English communication are essential.

Formación

• 3+ years of professional experience as a Data Scientist or Data Analyst.
• Strong Python proficiency with Pandas, NumPy and Scikit-Learn.
• Solid knowledge of statistics, probability, regression and clustering methods.
• Experience in data visualization using Tableau/PowerBI or libraries like D3.js/Plotly.
• Ability to present insights in English to North American executives.

Responsabilidades

• Develop predictive ML models and statistical systems to solve business problems.
• Design and automate high-throughput data extraction, cleaning, and preprocessing pipelines.
• Build interactive dashboard reports and visualizations for non-technical stakeholders.
• Test statistical hypotheses to optimize product funnels and marketing performance.
• Collaborate with DB engineers to structure data warehouses and optimize queries.

Conocimientos

3+ years experience

Python (Pandas/NumPy/Scikit-Learn)

Statistics & ML

Data visualization

English communication (present to exec

Herramientas

SQL databases

Tableau

PowerBI

D3.js

Plotly

Descripción del empleo

Appspring Tech is seeking a Data Scientist to implement predictive systems and create insightful dashboards. You will build ML models, automate data pipelines, and develop visual reports for executive audiences.

You will collaborate with data engineers to optimize data warehouses and enable data-driven decision making across marketing and product teams. Proficiency in Python and English communication are essential.