Remote Data Scientist - R&D & Predictive Analytics

Placements24; México; Hybrid; MXN 1,693,000 - 2,821,000; Full time

Job summary

Placements24 is seeking a Data Scientist for our remote R&D team. You will extract insights from large datasets, build predictive models, and drive data-driven decisions across the organization.

This role emphasizes statistical expertise, machine learning, and data visualization, with collaboration across departments and clear communication of findings to both technical and non-technical audiences.

Qualifications

• Master's degree in a quantitative field (Statistics, CS, Math, Economics, or related).
• 2+ years of data science or analytical experience.
• Proficiency in Python or R and libraries (Pandas, NumPy, scikit-learn, TensorFlow).
• Strong knowledge of statistical modeling and experimental design.
• Experience with SQL and relational databases.
• Familiarity with visualization tools (Matplotlib, Seaborn, Tableau).
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and collaboratively in a remote setting.
• Experience with big data technologies (Spark) is a plus.

Responsibilities

• Analyze large datasets to identify trends and insights.
• Develop and implement predictive models and ML algorithms.
• Design and conduct A/B tests and experiments.
• Create data visualizations and dashboards for stakeholders.
• Collaborate with engineers to integrate models into production.
• Clean, transform, and prepare data for analysis.
• Stay up-to-date with advances in data science and ML.
• Document methodologies, findings, and model performance.
• Present results to technical and non-technical audiences.

Skills

Python

R

Pandas

NumPy

scikit-learn

TensorFlow

SQL

Data visualization

Communication

Education

Master's degree in Statistics/CS/Math/Economics or related quantitative field

Tools

Matplotlib

Seaborn

Tableau

Spark

Job description

Placements24 is seeking a Data Scientist for our remote R&D team. You will extract insights from large datasets, build predictive models, and drive data-driven decisions across the organization.

This role emphasizes statistical expertise, machine learning, and data visualization, with collaboration across departments and clear communication of findings to both technical and non-technical audiences.