Senior Data Scientist – Machine Learning

Sleep Score Labs; Dublin; Hybrid; EUR 125,000 - 150,000; Full time

Job summary

A leading company in sleep science is seeking a Senior Data Scientist to develop and deploy advanced machine learning models that derive insights from extensive sleep data. The ideal candidate will have over 5 years of experience in machine learning, a strong background in Python and SQL, and an advanced degree in a quantitative field. The position offers a 9-month fixed contract with a competitive salary ranging from €7100 to €8350 per month, with a requirement to work at least 2 days onsite in Dublin.

Benefits

Health and wellness benefits

Comprehensive rewards and compensation

Culture of diversity and inclusion

Qualifications

• 5+ years of hands-on experience in machine learning, statistical analysis, and data science.
• Strong programming skills in Python (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch).
• Expertise in supervised and unsupervised learning, time series modeling, and deep learning.

Responsibilities

• Develop and deploy state-of-the-art machine learning models to extract meaningful insights.
• Apply advanced statistical techniques to predict sleep behavior and personalize recommendations.
• Collaborate with cross-functional teams to translate data into actionable solutions.

Skills

Machine learning

Statistical analysis

Data science

Python

SQL

Education

Advanced degree (MS/PhD) in a quantitative field

Tools

TensorFlow

Pandas

Scikit-Learn

Job description

Senior Data Scientist – Machine Learning

Location: Dublin, Ireland (no relocation), 2 days a week onsite

Employment Status: 9 Month Fixed Contract (covering for Maternity Leave)

Salary Range: €7100 - €8350/month

About the Position

At we don’t just study sleep—we transform it. With access to the world's most comprehensive sleep dataset, we’re unlocking ground breaking insights that drive innovation in health and wellness.

Our mission? To harness the power of data and machine learning to improve how the world sleeps.

As a Senior Data Scientist, you’ll play a critical role in shaping the future of sleep health. You’ll develop cutting-edge machine learning models, uncover deep insights from biometric and behavioural data, and work alongside experts in sleep science, digital health, and product innovation. If you thrive in a fast-paced, collaborative environment and want to see your models deployed in real-world applications that improve lives, we’d love to meetyou!

What You’ll Do

• Develop and deploy state-of-the-art machine learning models to extract meaningful insights from vast sleep datasets.
• Apply advanced statistical techniques and ML algorithms to detect patterns, predict sleep behaviour, and personalize recommendations.
• Design, validate, and optimize predictive models fromresearchtoproduction, ensuring real-world impact.
• Collaborate with cross-functional teams, including sleep scientists, engineers, and product leaders, to translate data into actionable solutions.
• Present compelling data-driven narratives to internal stakeholders, partners, and external audiences.
• Uphold scientific rigor and best practices at every stage of model development.

What You Bring

• 5+ years of hands-on experience in machinelearning,statisticalanalysis,and datascience.
• A passion for real-world impact: youhavedeployedMLmodelsinproductionand seen them drive results.
• Advanced degree (MS/PhD) in a quantitative field (ComputerScience, Data Science, Statistics, AppliedMathematics, Bioinformatics, etc).
• Strong programming skills in Python (NumPy, Pandas, Scikit-Learn, TensorFlow/PyTorch etc).
• Expertise in supervised and unsupervised learning, time series modeling, and deep learning.
• Deep understanding of inferentialstatistics,experimentaldesign,andlarge-scale data analysis.
• Proficiency in SQL and experience working with structured and unstructured data.
• Excellent communication skills—you can translate complex insights into compelling, understandable stories.

Bonus Points For

• Experience developing ML models for biometric, physiological, or health-related data.
• A background in biostatistics, digital health, or behavioural science.
• Experience with deploying models in cloud environments or edge devices.
• The ability to work seamlessly in an interdisciplinary team and adapt to a fast-moving innovation space.

Because You Are Joining

• A technology-based company with a strong mission and vision for the future.
• We understand that bringing new ideas and innovative technology is mission critical. At SleepScore, we encourage our team to learn something new and expand their creativity that will accelerate their careers.
• A culture that is kind, open and accepting. It’s a place where people can embrace what makes them unique and the mix of cultural backgrounds and varying interests cultivates diverse thought and perspectives.
• We offer competitive rewards and compensation and health and wellness benefits programs that are comprehensive and meet the needs of our team.
• SleepScore recognizes that the ways we work and the workplace itself has shifted. We innovate in a workplace that optimizes a combination of virtual and in-person interactions to maximize collaboration and nurture our culture. Candidates are required to work in the office at least 2 days a week.

About Labs

is a world-renowned leader in sleep science, research, and solutions, dedicated to helping people sleep better so they can live better. Through strategic partnerships with companies committed to providing the best for their customers, we deliver superior sleep solutions that are backed by unrivaled science and data.

developed the most advanced sleep technology platform and leverages actionable and personalized sleep insights derived from 850M+ hours of sleep data to empower billions of people to achieve their best sleep, benefiting their physical, mental, and emotional well-being. Learn more on our website,

is proud to be an equal opportunity employer committed to a diverse and inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status, or any other basis protected by law.