Data Scientist

Meyandy LLC; Deutschland; Vor Ort; EUR 65.000 - 110.000; Vollzeit

Zusammenfassung

Hilo by Aktiia in Germany is seeking a Data Scientist to translate large real-world and clinical datasets into robust analyses, models, and actionable insights. You will work autonomously on data preparation, statistical analysis, and interpretation while collaborating with clinical, scientific, product, and engineering teams.

The role requires MSc in a quantitative field and 3–5 years of hands-on experience; strong Python and SQL skills are essential, with Spark experience considered a strong

Qualifikationen

• MSc in Data Science, Statistics, Bioinformatics, or related quantitative field.
• 3–5 years hands-on experience in Data Science or related fields.
• Strong proficiency in Python and SQL; Spark experience is a plus.

Aufgaben

• Mine and analyse large real-world datasets to derive robust insights.
• Design and interpret statistical analyses for clinical and product data.
• Produce publication-ready figures and summaries for reports and publications.
• Apply analytics to engagement, retention, conversion, and feature usage questions.
• Design, run, and interpret experiments to quantify impact of changes.
• Develop reproducible workflows with well-documented code and results.

Kenntnisse

Python

SQL

Spark

Ausbildung

MSc in Data Science or Statistics or Bioinformatics

Tools

Git

CI/CD

Jobbeschreibung

About Hilo by Aktiia

High blood pressure is the world's most common disease, causing 18 million deaths each year. At Hilo by Aktiia, our vision is a world where no lives are lost or damaged from the effects of high blood pressure. Our mission is to make this a reality by developing tech to help people control their blood pressure. We are a venture-backed scale-up, having raised over $96M from investors in Europe and the United States. Our technology — rooted in 18 years of research at the Swiss Center for Electronics and Microtechnology (CSEM) — is the world's only medically accurate, continuous blood pressure monitor that is cuffless in daily life in the consumer space. Validated through extensive clinical trials and CE Marked as a Class IIa medical device, our solution is now available in 12 countries. In July, we launched in the US — a major step in bringing Hilo's technology to the millions of Americans living with high blood pressure. We are a hybrid/remote-first company, headquartered in Neuchâtel, Switzerland, united by our passion for impact and innovation.

Role Overview

We're looking for a Data Scientist who can turn large, complex real-world and clinical datasets into robust statistical analyses, models, and actionable insights. You will work on clinical, scientific, product, and business questions and translate data into findings that support scientific publications and informed decision‑making across the company. This is a hands‑on role with a high degree of autonomy, where you will independently take analytical questions from data preparation through statistical analysis and interpretation, while collaborating closely with clinical, scientific, product, and engineering teams.

Requirements

What You Will Own

• Mine and analyse large‑scale real‑world data from Aktiia's databases to identify patterns, trends, and relationships related to clinical outcomes, product performance, accuracy, and usage
• Design, perform, and interpret statistical analyses of clinical study data, working with the clinical team on study endpoints, protocols, and appropriate analytical approaches
• Produce analytical results into clear scientific insights, publication‑ready figures, and statistical summaries that support conference presentations, posters, and peer‑reviewed publications
• Apply statistical and analytical methods to user and product data to answer questions around engagement, retention, conversion, feature usage, and segmentation
• Design, run, and interpret experiments and statistical tests to evaluate product or feature changes and quantify their impact
• Develop reproducible and traceable analytical workflows, with well‑documented code, analyses, and results in line with quality and regulatory standards (ISO 13485, MDR, GCP).
• Contribute to our shared Python/SQL/Spark codebase through Git, CI/CD, and code review practices
• Select and apply appropriate statistical and modelling techniques to answer clinical, scientific, product, and business questions, assessing assumptions, limitations, and the reliability of results

What Success Looks Like

You can independently take analytical questions from data preparation through analysis and interpretation, producing reliable and reproducible results. Your analyses generate clear insights that contribute to scientific publications and help Product and Leadership make informed decisions. You collaborate effectively across clinical, scientific, product, and engineering teams and communicate analytical findings clearly to both technical and non‑technical audiences.

What we’re looking for

MSc (or equivalent demonstrated ability) in Data Science, Statistics, Bioinformatics, or another quantitative field 3–5 years of hands‑on experience in Data Science, Statistics, Biostatistics, Data Analytics, or a related quantitative field. We care more about proven ability than an exact number of years, so strong candidates with less experience are very welcome to apply Strong proficiency in Python and SQL. Experience with Spark is a strong advantage. Strong statistic… Data Scientist — Hilobyaktiia, Germany.

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