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Seeq
Seeq builds advanced analytics software that unlocks insights from industrial process data—empowering companies in sectors like pharmaceuticals, oil & gas, chemicals, and power generation to optimize operations and drive business value. As a remote-first company since our founding, we’re built for collaboration across time zones. Our engineering and customer-facing teams thrive in a supportive, agile environment that emphasizes curiosity, learning, and continuous improvement. Analytics Engineers at Seeq serve as trusted technical advisors to our customers, helping them solve complex process challenges and maximize value from our software. You’ll work directly with end users to design scalable, high-impact analytics solutions that drive engagement, adoption, and tangible business outcomes. Key Duties & Responsibilities: As a key customer-facing team member, you will participate in the following activities: Customer Technical Adoption Serve as the customer’s trusted technical advisor by building relationships with champions and end-users through solution design, implementation guidance, and technical mentorship. Leverage customer relationships to perform constant discovery and uncover high-value, high-impact use case opportunities directly linked to the customer’s critical business workflows and objectives. Collaborate with the customer and account team to develop and execute strategic plans for adoption of Seeq and completion of key use cases addressing business objectives. Advise customer champions and end-users to implement and operationalize the use cases to deliver a high return on investment for the customer. Occasionally may require hands-on delivery to accelerate a customer’s high value use case. Upskill Seeq’s partner ecosystem to be an extension of the Analytics Engineering team to provide support globally and in localized languages. Product Expertise Be a product expert, maintaining knowledge of how to implement and troubleshoot solutions in the platform, …
Publié 19 Oct 2026
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 clinica…
Publié 14 Aug 2026