Data Scientist (Remote)

Heredia - Costa Rica

Monthly Salary: Not Disclosed

Posted on: 10 hours ago

Vacancies: 1 Vacancy

Department:

Analytics

Job Summary

We are seeking a Data Scientist to join our Data Enrichment team focused on improving data quality operational efficiency and business decision-making within a large-scale commercial data repository. This role blends hands-on modeling technical leadership and cross-functional collaboration to drive measurable improvements in data assets and business processes.

Reporting to the Manager of Data Analytics you will play a key leadership role in designing developing and deploying machine learning and GenAI-driven solutions that enhance data quality automation and insight generation across commercial financial services data domains.

Responsibilities:

Design and deploy scalable machine learning solutions to improve data quality matching classification and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring in partnership with crossfunctional teams.
Establish and follow best practices for model governance testing documentation and performance tracking.
Build and maintain reliable data pipelines and feature workflows using distributed data technologies.
Develop productionready SQL to integrate and transform structured and semistructured data.
Create reusable tools and components to streamline data processing scoring and monitoring.
Define and track key metrics to measure model effectiveness and operational improvement.
Partner across Data Governance Technology Product and Operations to address data quality and process opportunities.
Communicate insights through clear storytelling visuals and executiveready presentations.
Maintain strong standards for code quality experimentation and documentation with a focus on collaboration and continuous improvement.
Stay informed on advances in machine learning generative AI and cloud technologies.

Qualifications :

Bachelors degree in Data Science Statistics Computer Science Engineering Mathematics or a related quantitative field (Masters degree preferred).
5 years of professional experience in data science machine learning GenAI or advanced analytics roles.
Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics experimental design and causal inference.
Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics experimental design and causal inference.
Advanced proficiency in:
- Python (pandas NumPy)
- Distributed processing frameworks (e.g. Spark / PySpark)
- SQL (advanced query design and optimization)
Experience with ML frameworks such as scikit-learn TensorFlow or PyTorch. Experience designing and implementing solutions leveraging large language models (LLMs) such as OpenAI and/or Google Gemini.
Experience deploying monitoring and maintaining models in production environments. Familiarity with version control (Git Bitbucket) and collaborative development workflows. Experience working in Agile/Scrum environments.

Additional Information :

Benefits/Perks:

Asociacion Solidarista
Great compensation package and bonus plan
Core benefits including medical dental vision and matching 401K
Flexible work environment ability to work remote hybrid or in-office
Flexible time off including volunteer time off vacation sick and 12-paid holidays

At Experian our people and culture set us apart. Were deeply committed to creating an environment where everyone feels they belong and can excel. From inclusion and authenticity to work/life balance development wellness collaboration and recognition we focus on what truly matters. Our people-first approach has earned us global recognition: Worlds Best Workplaces 2024 (Fortune Top 25) Great Place To Work 2025 in 26 countries and Glassdoor Best Places to Work 2024 among others.

Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.

Experian is proud to be an Equal Opportunity Employer for all groups protected under applicable federal state and local law including protected veterans and individuals with disabilities. If you have a disability or special need that requires accommodation please let us know at the earliest opportunity.

This is a remote position.

#LI-Remote

Remote Work :

Employment Type :

Full-time

Responsibilities:

Design and deploy scalable machine learning solutions to improve data quality matching classification and automation.
Apply advanced analytics and generative AI to enhance data enrichment and ongoing data maintenance.
Drive analytical projects from problem definition through deployment and ongoing monitoring in partnership with crossfunctional teams.
Establish and follow best practices for model governance testing documentation and performance tracking.
Build and maintain reliable data pipelines and feature workflows using distributed data technologies.
Develop productionready SQL to integrate and transform structured and semistructured data.
Create reusable tools and components to streamline data processing scoring and monitoring.
Define and track key metrics to measure model effectiveness and operational improvement.
Partner across Data Governance Technology Product and Operations to address data quality and process opportunities.
Communicate insights through clear storytelling visuals and executiveready presentations.
Maintain strong standards for code quality experimentation and documentation with a focus on collaboration and continuous improvement.
Stay informed on advances in machine learning generative AI and cloud technologies.

Qualifications :

Bachelors degree in Data Science Statistics Computer Science Engineering Mathematics or a related quantitative field (Masters degree preferred).
5 years of professional experience in data science machine learning GenAI or advanced analytics roles.
Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics experimental design and causal inference.
Proven experience leading end-to-end machine learning initiatives from problem definition through deployment in production environments. Strong foundation in statistics experimental design and causal inference.
Advanced proficiency in:
- Python (pandas NumPy)
- Distributed processing frameworks (e.g. Spark / PySpark)
- SQL (advanced query design and optimization)
Experience with ML frameworks such as scikit-learn TensorFlow or PyTorch. Experience designing and implementing solutions leveraging large language models (LLMs) such as OpenAI and/or Google Gemini.
Experience deploying monitoring and maintaining models in production environments. Familiarity with version control (Git Bitbucket) and collaborative development workflows. Experience working in Agile/Scrum environments.

Additional Information :

Benefits/Perks:

Asociacion Solidarista
Great compensation package and bonus plan
Core benefits including medical dental vision and matching 401K
Flexible work environment ability to work remote hybrid or in-office
Flexible time off including volunteer time off vacation sick and 12-paid holidays

Want to see what life at Experian is really like Explore Experian Life on social or visit our Careers Site.

This is a remote position.

#LI-Remote

Remote Work :

Employment Type :

Full-time

Key Skills

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About Company

Experian

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, ... View more

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