We are looking for a Lead Data Scientist/Engineer to join our team of +35 people. You'll be involved in turning data from thousands of users into insights integrated with the product.

Data and the interpretation of it is a lifeline, the red thread, for all the things we do at Veri. You can expect to be working closely with most of the areas in the company. Some of the responsibilities you will be sharing with other members of our product teams:

• Taking ownership of data-driven feature exploration, experimentation, and implementation
• Working closely with our product teams and health advisors to convert business goals into data-driven products and features
• Design and implement cloud native data science infrastructure together with our product team and data-oriented engineers
• Contribute to our data science processes, shaping up our data strategy, and work closely with our product team to define the future of Veri product
• Educating the team and building data culture

This list is not exhaustive. You will have the opportunity to grow on your chosen career path, be it technical, leadership, or any mix of them

What do we expect?

• You are excited about helping people live a metabolically healthy life — you don't need to know everything about metabolic health, but should be eager to learn more.
• You have experience with end-to-end data science product delivery in a diverse team of programmers, designers & product managers.
• You know your way around Cloud and have profound experience with at least one of the public cloud providers. You are comfortable with picking the right services and designing architecture to deliver data solutions.
• You are comfortable with analytical and quantitative problem solving using advanced statistical techniques, SQL, and Python (along with the relevant libraries such as pandas, numpy or scikit-learn).
• You are able to communicate, and scope business ideas into data.
• You have 3+ years of experience working in a similar role.
• You are solution-oriented and possess a can-do mindset.
• You enjoy mentoring and motivating your team members
  

What do we appreciate?

• Deep understanding of stochastic processes and experience working with time series analysis.
  
• Experience with Data Visualization, Data Cleaning, Anomaly detection, and Machine Learning models.
• Experience with leading a team of data scientists/analysts/engineers.
• Deep understanding of some parts of our tech stack: Node.js, Fastify, TypeScript, PostgreSQL, DynamoDB, AWS, Athena, Glue, or Terraform.

What can we give in exchange?

• A fast-paced and thrilling working environment
  
• A nimble team (+35 people) of builders
• Excellent team culture built on trust
• Transparent working environment
• Flexible working hours + work-life balance
• Trust and autonomy to work on what you see fit and essential

Compensation & Benefits

• Transparent, open Compensation policy
• Medical and Dental Insurance
• Vacation: 30 paid vacation days per year
• Work Accessories: Computer, Laptop, Phone, Headphones, Mouse, Keyboard. If needed we can tune your WFH setup (table, chair etc.)
• Other: Access to sensors (continuous glucose monitors) monthly, wearable (Apple Watch, Oura or other), books every quarter
• Lunch, Exercise and Culture Benefits
• Blood work 2 times a year from Nightingale (Finland) or Wellnessfx (US)

Process

1. Intro chat  (30-45 minutes)

You'll first have an introductory call with a member of our team; you won't need to prepare anything in advance. We would love to hear your story, where you're aiming to go and understand if we can be helpful in that journey. In exchange we'll share how we came to be, and who we are. We’ll also give you a thorough overview of our product – tech stack and the development processes.

The meeting could either be on a Google Meet or in person at our office which is located in the bohemian part of Helsinki - Kallio.

If we are excited and you seem like an excellent fit then we'll move forward to the next stage.

2. Technical Task (±4 hours)

We'll send you a task to assess your technical skills and execution. After you submit the task, we’ll carefully review your work. If the submission demonstrates the skills we’re looking for we’ll move forward.

3. Demo + Technical Interview (2 hours)

In this meeting you get to demo your work to a few people from our product team. This is also an opportunity for you to ask more questions about the company, the role, or anything else on your mind.

If we feel that you could contribute to our work and you're excited about the challenges we face we'll move forward.

4. Meeting the Crew (30 minutes)

We'll get a few people from the team to interview you and to touch base one last time before making a final decision. If we collectively believe there is a good fit we’ll make you an offer following our Open Compensation Model.

1️⃣ We aim to keep our process light, punctual and strict.

2️⃣ We aim to move from Step 1. to Step 3. in no more than 30 days.

3️⃣ Per our values of Growth Mindset and Transparency we’ll always share the reasoning if you are rejected after talking with us.