Senior Data Scientist

Simple is a successful mobile product that has a user base of over 15 million people and has over 50% year-over-year revenue growth. It helps people improve their nutritional habits through personalized programs, meal tracking, and health insights, which allows them to lead healthier and happier lives.

Right now we are looking for a highly technically skilled Data Scientist to join the DS Team. This awesome one is expected to take the project and independently bring the model to the production: from discussing the task with the business owners and to monitoring the quality of the data and results of the AB.Data

Science team covers all areas of ML for the business: you need to work a lot with tabular data, text, cv, time series and recommendation systems. In the near future we want to significantly improve our marketing: launch more campaigns - work more effectively with the audience (in terms of costs and volumes), test more (creatives, campaigns) etc.

What you'll do:

• Apply modern data science techniques for solving business problems;
• Challenge existing models to ensure the best performance;
• Ensure understanding of our model behavior in production;
• Work with LLM: write prompts, functions, fine-tune if needed;
• Create services and monitoring pipelines with the help from DevOps team;
• Collaborate with development, analytics and other business teams to understand needs and requirements.

  
What we look for:

• 3+ years of experience in Data Science;
• Strong proficiency in machine learning algorithms;
• Specialization in at least one of ML areas (Tabular data and “product” ML: LTV, dynamic pricing; Recommendation systems; time-series, RL);
• Strong understanding of ML System Design;
• Substantial experience with Python, main ML libraries, SQL, Git, Docker;
• Strong problem-solving abilities, a keen eye for details and unparalleled commitment to deliver high-quality work;
• Result driven and impact oriented.

It will be a strong plus:

• Appreciation of software engineering best practices
• experience in marketing/funnels optimization

Our tech stack:

• Snowflake (DWH)
• Kuberflow + Neptune (models training)
• Arize (monitoring)
• Docker + FastAPI for streaming

Perks and benefits:

• Competitive salary package commensurate with experience, plus stock options;
• In-office, hybrid work and remote opportunities;
• Relocation package (Cyprus);
• The equipment you need to do your job;
• A premium SIMPLE subscription;
• 21 days annual leave, plus bank holidays (those observed where you live);
• Support to learn English, should you need (or want) to;
• Flexible hours. We focus on your results, not how long you spend at your desk.