eSteps Health (Global company base in US)

Data scientist (Wearables + Time Series + PhD)

216 Candidature(s)

4 Non Retenu(s)

Job Title: Data Scientist - (Digital Health, PhD)

Location: Tunis, Lac1


About eSteps:

eSteps (www.estepshealth.com) is at the forefront of digital health innovation, backed by leading institutional investors including EXOR Ventures and 216 Capital Ventures. Our mission is to democratize healthcare access for frail patients by guiding them on their journey to health with personalized remote digital biomarkers for assessing mobility quality. By leveraging cutting-edge technology, eSteps is dedicated to making healthcare more accessible, personalized, and effective for those in need.



Relentless Mindset (The Cleaner):

Core Values:

  • Unwavering Determination: We will pursue our goals with unparalleled passion and determination, overcoming every challenge we face.
  • Limitless Innovation: We will continuously challenge the status quo, pushing beyond the bounds of what's possible to find revolutionary solutions.
  • Resilience: We will treat failures and obstacles as essential opportunities to learn, grow, and improve.
  • Discipline and Consistency: We maintain a steadfast commitment to our goals, with ironclad discipline and meticulous attention to detail.
  • Growth and Learning: We foster an environment where personal and professional betterment is ongoing and encouraged.


Role:

We are seeking a passionate and resilient Data Scientist to join our dynamic team focused on digital health solutions. The ideal candidate will have a strong background in data analysis, a keen interest in cutting-edge technologies, and the ability to lead in the development and application of Artificial Intelligence (AI) in healthcare. If you have a Ph.D., experience in time series analysis, and familiarity with wearables, we encourage you to apply.


Responsibilities:

1. Data Enthusiast: 

  • Demonstrate a passion for data, showcasing resilience in problem-solving and a commitment to staying at the forefront of data science methodologies.

2. Language Proficiency: 

  • Fluent in English; 
  • additional languages are a plus.

3. Technical Skills:

  •    Proven experience with time series analysis and wearable technologies.
  •    Competence in Generative AI.
  •    Track record in leading AI initiatives and projects.

4. Curiosity and Tech Savvy: Stay abreast of emerging technologies, demonstrating a curiosity and eagerness to explore new advancements.

5. Customer Focus: Participate in focus groups to understand customer needs, contributing insights to drive data-driven solutions.

6. Networking: Build a strong network within the digital health sector, actively participating in conferences, and fostering collaborations.

7. Publication Goals: Work towards achieving publication objectives, contributing to the scientific community with innovative research.

8. Team Leadership: Guide the team in making informed decisions related to AI applications, sharing expertise and fostering a collaborative work environment.

9. International Collaboration: Embrace and respect diverse cultures, working effectively in an international environment without discrimination.


Qualifications:

  • Ph.D. in a relevant field (preferred).
  • Proven experience in data science, with a focus on time series analysis and wearables.
  • Expertise in Generative AI.
  • Demonstrated leadership in AI projects.
  • Strong communication skills in English; additional languages are a plus.


If you are an ambitious Data Scientist with a desire to contribute to the digital health landscape, while embracing diversity and international collaboration, we invite you to apply. Join us in shaping the future of healthcare through innovative data-driven solutions.


eSteps Health (www.estepshealth.com) is an equal opportunity employer and values diversity in its workforce. We encourage applications from all qualified individuals.

eSteps Health (Global company base in US)

eSteps Health (Global company base in US)

Site Web:
https://estepshealth.com
Localisation:
United States, Tunis
Rue:
Full Remote with Office in: US in Boston at CIC; Italy Full remote; Tunisia at The dot, lac2;
Code postal:
10004

Découvrir les attentes salariales des candidats à l'offre Data scientist (Wearables + Time Series + PhD)

Salaire le plus bas
400 TND
1552 TND
Salaire moyen
1771 TND
1991 TND
Salaire le plus élevé
6500 TND
1552 - 1991 TND
1771 TND
400 TND
6500 TND
Estimations basées sur les attentes salariales des candidats à cette offre

Informations

Localisation:

Tunisie - Tunis

Type de travail:
Plein temps présentiel
Contrat:

CDD