Data Scientist

BMA Group Global; San Juan (PR); On-site; USD 90,000 - 130,000; Full time

Job summary

BMA Group Global is seeking a Data Scientist to drive data-driven solutions across business and technology initiatives. You will analyze complex data, build scalable ML models, and translate insights into actionable strategies.

You will collaborate with IT, software engineering, and business teams to productionize analytics and deliver dashboards. The role emphasizes data science, machine learning, and analytics to solve challenging business problems using modern data technologies and cloud

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field (Master’s preferred).
• Proficiency in Python, R, and/or SQL.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with large-scale data technologies and cloud platforms such as Spark, Hadoop, AWS, Azure, or Google Cloud.
• Experience with data pipelines, ETL processes, and data wrangling.
• Knowledge of software engineering practices and version control tools such as Git.
• Familiarity with visualization and BI tools such as Tableau, Power BI, or Looker.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Analyze complex datasets to identify trends, patterns, and business insights.
• Develop, test, and deploy machine learning and predictive models.
• Design and maintain scalable data pipelines and ETL processes.
• Collaborate with IT, software engineering, and business teams to develop data-driven solutions.
• Integrate analytical and machine learning models into production environments.
• Develop reports, dashboards, and data visualizations to communicate findings.
• Conduct statistical analysis, data exploration, and ad-hoc analyses.
• Present technical findings and recommendations to both technical and non-technical stakeholders.

Skills

Data analysis

Machine learning

Predictive modeling

Data engineering

Education

Bachelor’s degree in related field

Master’s degree

Tools

Python

R

SQL

Scikit-learn

TensorFlow

PyTorch

Spark

Hadoop

AWS

Azure

Google Cloud

Git

Tableau

Power BI

Looker

Job description

We are seeking a talented Data Scientist to join our team and contribute to the development of data-driven solutions that support business and technology initiatives.

The ideal candidate will have experience in data analysis, machine learning, predictive modeling, and data engineering, with the ability to translate complex datasets into actionable insights and scalable solutions.

Key Responsibilities

• Analyze complex datasets to identify trends, patterns, and business insights.
• Develop, test, and deploy machine learning and predictive models.
• Design and maintain scalable data pipelines and ETL processes.
• Collaborate with IT, software engineering, and business teams to develop data-driven solutions.
• Integrate analytical and machine learning models into production environments.
• Develop reports, dashboards, and data visualizations to communicate findings.
• Conduct statistical analysis, data exploration, and ad-hoc analyses.
• Present technical findings and recommendations to both technical and non-technical stakeholders.

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field; Master’s degree is a plus.
• Proficiency in Python, R, and/or SQL.
• Experience with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch.
• Experience with large-scale data technologies and cloud platforms such as Spark, Hadoop, AWS, Azure, or Google Cloud.
• Experience with data pipelines, ETL processes, and data wrangling.
• Knowledge of software engineering practices and version control tools such as Git.
• Familiarity with visualization and business intelligence tools such as Tableau, Power BI, or Looker.
• Strong analytical, problem-solving, and communication skills.

This is an excellent opportunity for a data professional interested in applying data science, machine learning, and analytics to solve complex business and technology challenges.