Data Analyst

Palta is a multi-product tech platform developing a number of mobile apps focused on health&wellbeing space. Our portfolio includes such successful companies as Flo (global leader in female health with more than 42 mln MAU), Prisma (app of the year 2016, 150+ mln downloads), Simple (12m+ downloads). Currently, Palta portfolio consists of 9 mobile apps, all focused on global digital health & wellbeing market. Rapid portfolio growth is fueled by the recently raised $100 million in series B round led by VNV Global.

Palta apps are used by over 100 million health aware people globally!

Pora is a Beauty and Health AI assistant developed to democratize dermatology and cosmetology services. Our goal is to empower peoples' wellness and beauty with an ultimate tool for understanding and further improving their skin. We develop breakthrough AI solutions that combine deep knowledge of the user's condition with comprehensive competencies in skincare products.

We already have developed the iOS version of our app that is available in the US, Canada, and EU stores. It’s capable of:

• Guiding the user through a dermatological questionnaire to understand their conditions and needs
• Taking images of the user’s face and providing ML-based analysis
• Providing meaningful recommendations of topical cosmetic products that can improve the skin conditions of the user.
• Suggesting face exercises to maintain firmness and the youth of the skin.

From the DS point of view, there are several areas in which we're primarily focused right now:

• Finding out the structure to describe all the skin conditions we're interested in.
• Finding out the structure to describe all skincare programs we're interested in.
• Collect a large, diverse dataset of various skin conditions with the corresponding labeling (both segmentation and classification).
• Set up reliable processes to ensure the quality of the data we're using.
• Developing the interpretation algorithms, i.e., translating raw ML predictions into user-friendly representations.
• Developing algorithms for producing the skincare programs and matching them with the user data.
• Building various quality metrics to make sure we're on track in every direction that matters.
• Analyzing the failure modes of our models and algorithms and completing projects to address these failure modes. After a while, we'll also be putting effort into writing science papers, filing patents, and analyzing the live users' data.

We’re looking for solid professionals to improve our ability in all of these areas. If you also have the ambition to lead the corresponding team in the future — you're a top-notch candidate!

Why work with us

• A rare opportunity to launch a new big thing from scratch, not just continue some predecessors' work.
• An opportunity to significantly change many people's lives by helping them achieve the appearance they want for themselves, richly increasing their life quality. We’re aiming at the whole worldwide market.
• A great way to widen your competencies beyond the DS field itself and achieve experience in its medical applications.
• We'll work with user data, so we'll need to satisfy a lot of regulations while working with personal and medical data. Data mining is quite challenging in such circumstances, so having such an experience is quite rare and extremely valuable in the market!
• You'll be able to take advantage of all the recent technologies, methods, and tools since we're a brand new company, and there's no legacy or technical debt to be mindful of
• We work with the best experts to support our knowledge when we don't have enough competencies. So whatever is unclear — we have an expert to help overcome the issue!
• The co-founders have vast experience and accomplishments in the industry. Therefore, working with such people closely is a great way to learn; moreover, their references might become a game-changer for any further career prospects

Should we mention that joining the startup in the very early stage means an opportunity to lead a large department in the observable future? Indeed we should! But it also means taking maximum out of the employee stock ownership plan. The fewer employees we have — the more shares we might offer. Join us while we're still small and benefit from our growth!

What we expect:

• Ability to program in Python, Golang, or any other imperative programming language.
• Decent knowledge of probability theory and statistics.
• The ability and desire to investigate complex problem domains, bring structure and clarity, and share the findings within the company.
• Experience in analyzing and improving the quality of data sets used to build ML models.
• Experience in organizing quality acceptance processes of ML models.
• Passion for healthcare, helping people, and launching excellent products 🙂

Our current team

The current team is pretty small: we have less than twenty team members 🙂 Most of our fellow colleagues are engineers — ML, backend, iOS, and web developers. The product team also includes several designers, product and project managers as well as UX researchers. We collaborate with many scientists to make sure our app is in line with the existing body of research.

Please join us in our adventure!