Data Scientist

Ascendion is a full-service digital engineering solutions company. We make and manage software platforms and products that power growth and deliver captivating experiences to consumers and employees. Our engineering, cloud, data, experience design, and talent solution capabilities accelerate transformation and impact for enterprise clients. Headquartered in New Jersey, our workforce of 6,000+ Ascenders delivers solutions from around the globe. Ascendion is built differently to engineer the next.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for world’s leading brands
• Solve complex problems – and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

About the Role:

• Role: Sr Data Scientist
• Location: Colombia (Remote)

What You’ll Do

• Design and build automated evaluation systems (“synthetic raters”) using LLMs

as judges.

• Integrate these AI evaluators into the company’s core product, replacing existing

manual review processes.

• Collaborate with other data scientists and ML engineers to design, develop, and

deploy scalable AI solutions.

• Develop and enhance internal tools for model evaluation, experimentation, and

performance monitoring.

• Lead end-to-end model development: from experimentation and data analysis to

production deployment.

• Research and prototype new LLM-based evaluation approaches that can be

extended to other business areas.

• Mentor junior data scientists and contribute to defining best practices,

methodologies, and governance standards.

What We’re Looking For

• 7–9 years of experience in Data Science, Machine Learning, or AI-focused roles.

• Advanced degree (Master’s or PhD) in Computer Science, Mathematics, Statistics,

or a related field.

• Proficiency in Python (advanced level) – for tool creation, model tuning, and

automation scripts.

• Strong hands-on experience with AWS (Lambda, EC2, S3, SQS, SNS, etc.).

• LLM expertise – hands-on experience with models such as Claude (must-have),

OpenAI GPT-3.5 / ChatGPT, Mistral, etc.

• Machine Learning background – solid understanding of deep learning, gradient

boosting, and random forests.

• Big Data familiarity – Spark (basic level); Hadoop is a nice-to-have.

• Search technologies – Elasticsearch, OpenSearch, or Solr (nice-to-have).

• Collaborative mindset – comfortable working with cross-functional teams and

mentoring peers.

• Experimentation mindset – comfortable testing new approaches, leveraging open-source tools, and iterating quickly.