Lead Data Scientist, Product Engineer and Analytics Team Lead – Svexa (Silicon Valley Exercise Analytics)

By Tim Macuga | June 25, 2024

About the company:
Svexa (Silicon Valley Exercise Analytics) is an exercise intelligence company with entities in the USA, Sweden, Poland, and Israel. We specialize in optimization and personalization of training, performance, and recovery for athletes of all skill levels – elite to recreational fitness enthusiasts to general population health. Svexa’s software products and algorithms are developed based on our world-leading scientific research in fields of human physiology and performance. They provide a unique integration of sports training load and recovery data with biological profiles. Our hybrid model of analytical domain expertise and AI approach consolidates myriad data points into real-time, individualized readiness metrics to provide truly personalized insights and recommendations.

Technology Philosophy:
We are currently building up a highly scalable and configurable system, ‘the intelligence layer’, for supporting analysis of data for training optimization and public health. Svexa is a B2B company, licensing algorithms and software to other companies in the sports, fitness, and health industries. The system works on a global market and will be highly configurable to suit different clients’ needs. We have a hybrid deployment that is made for being as efficient as possible. Our tech platform is evolving quickly as we shift from prototyping to production, so new team members have the perfect opportunity to make a big impact.

Job Description:
Svexa is looking for a qualified and motivated Lead Data Scientist, Product Engineer, and Team Lead to our Analytics unit. You will work on the design, development and deployment of data analytics modules and softwares in the health/fitness/sport space. You are able to fuse deep domain knowledge with modern data science in an efficient and scalable way. The system has high demands when it comes to security and stability.
You are comfortable leading a remote team that will operate globally, managing the tasks and workload for each individual.

  • Fully remote working in a distributed team (work from home).
  • Competitive salary (defined as over average for the country, based on experience and candidate technical skill profile).
  • Flexible work hours (but with a few daily hours to overlap CET and Pacific, USA time zone).
  • Paid time off, with generous and flexible vacation policy. At svexa, we’re proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. For the first stages of the hiring process the applicants are de-identified to the evaluators.

Profile Requirements:

  • Minimum of 3 years of experience in a similar role.
  • Master’s degree in Data Science, Computer Science, Statistics, or a related field.
  • Proven expertise in data science, data engineering and data visualization.
  • Deep domain knowledge and personal interest in health, fitness,and/or sports.
  • Extensive knowledge of data driven sport technology,including wearable technology and their respective sampled metrics.
  • A strong strategic ability to at a high level plan, implement and monitor system architectures of analytic services.
  • Strong project management skills, with the ability to manage and implement multiple projects simultaneously.
  • Excellent communication and interpersonal skills, with the ability to translate complex data into clear and actionable insights.
  • Fluent in conversational and written English.

Technical Requirements:

  • Proficiency in Python and all standard data science related libraries (Pandas, NumPy, Scikit-learn, TensorFlow and/or PyTorch).
  • A proven track record of designing, implementing, monitoring and scaling models in one or many of the following areas: Time series regression models, NLPs/LLMs, transformers, classification, clustering.
  • Extensive knowledge and experience from both classic modeling and AI/ML as well as ensemble models of the two.
  • Experience in following and optimizing with respect to standard machine learning best practices and DevOps.
  • Experience in working with GCP, SQL.

Key Responsibilities:

  • A majority of the daily work routine is focused on implementing new data analytics modules and features, as well as maintaining existing ones.
  • Lead the Analytics Unit, and manage the team.
  • Work closely with cross-functional teams to identify data needs and provide data-driven recommendations.
  • Work on ensuring data accuracy, integrity, and security across all platforms.
  • Participate in relationships with client side analysts/developers, evaluate and respond to their analytical needs.
  • Stay updated with the latest industry trends and advancements in data analytics, data science, sport technology

Application shall include (send to [email protected]):

  • CV, including education and experience.
  • Portfolio/description of previous work.
  • After the first screening, an extended questionnaire will be sent to remaining candidates. It includes questions like “In what ways is remote work a win for you?” and “What are your sports and fitness experiences and interests?”, as well as a statement of requested salary.

Application process:

  • The position(s) will be posted worldwide.
  • The selection process will be blinded through the first stages, i.e. identifiers like gender, name, location, etc, will be taken out before the first sorting and selection. The second stage is a technical test, also evaluated without identifiers. The third and final stage are interviews with both the technical team and the business team.
  • The starting date is flexible, and the position is available for immediate start.
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