Data Scientist

What you’ll do:

• Develop machine learning models to create innovative solutions to problems in the marketing analytics industry;
• Improve quality and debug existing ML models;
• Code data preprocessing and feature mining pipelines via SQL;
• Implement ML algorithms, test them on real data and make them production-ready.

What we are looking for:

• 2+ years of experience with statistical analysis, data visualisation and predictive modeling;
• 2 + years of experience with SQL for data analysis;
• Strong math skills (e.g. statistics, algebra);
• Experience in solving classification and regression problems on structured data; 
• Working knowledge of popular machine learning algorithms, such as logistic regression, clustering algorithms, decision tree-based algorithms;
• Experience in implementing a created ML models in a production environment;
• Ability to understand a business challenge from the management team and design a proper technical solution;
• Good English (B2 or above).

Bonus:

• Experience in marketing attribution modeling or CRM modeling (LTV, churn, cross-sell, etc.);
• Experience with the cloud data warehouses and ML technologies such as Google BigQuery, BigQuery ML, Amazon Cloud, etc.;
• Experience working with tools like Airflow and getdbt;
• Experience in A/B-test design and hypothesis testing;
• You have a Kaggle or GitHub with an open-source work that you are proud to share.

Why SegmentStream:

• Unique and high-quality SaaS product that solves a massive problem for a huge market;
• A vast portfolio of enterprise customers around the globe including the UK, US, Canada, Australia, and lots of European countries;  
• VC-backed by top investors & angels, including TechStars, founders of Pipedrive, Dynamic Yield, and other great SaaS entrepreneurs;
• Fast-growing, fully distributed, and international team of smart people who not only love what they do but also really good at it;
• A great company culture that is embracing functional ownership, entrepreneurial mindset, and personal growth;
• Full responsibility from day one and being part of our results-driven working environment;
• Competitive salary plus attractive stock compensation package;
• A lot of opportunities for future career growth within the company.