Position: Junior Data Scientist
Company: EveryMatrix
Category: Data Science
Experience required: 1y
English level: upper

**Job Summary:**
**Got a head full of ideas? Good.**
**EveryMatrix** is seeking a **Data Scientist** to join our CasinoEngine AI team in **Lviv**.

We are searching for an open-minded person who is willing to test and learn new technologies and is not afraid of investigating and resolving problems manually. Top candidate has solid mathematical foundation and practical coding skills. Must be adaptable to new technologies and ready to work in a collaborative, multi-disciplinary team environment. Our focus is on fraud analytics and recommender systems. Formal education or proven practical experience required

**Company Intro:**
EveryMatrix is a leading B2B SaaS provider delivering iGaming software, content and services. We provide casino, sports betting, platform and payments, and affiliate management to 200 customers worldwide. The company is profitable, has over EUR 100m in annual revenues, and 700 employees in offices across ten countries in Europe, Asia and the US. EveryMatrix was founded in 2008 and remains a founder-owned private company.

**Business Unit Intro:**
CasinoEngine provides a fully-managed and robust online casino platform solution tailored to our clients’ needs. This time-tested casino platform was specifically designed to give operators full control over their operations.

**Junior Data Scientist**
**Responsibilities:**
Creating, developing, and improving machine learning models to improve business efficiency
Analyze data from various sources to extract insights and actionable recommendations
Building dashboards, preparing and automating reports for sharing the findings with the team

**Requirements:**
Good knowledge of Python, SQL and hands-on experience using packages such as Pandas, NumPy, Matplotlib/Seaborn/Plotly, Scikit-Learn, Jupyter
Deep understanding of statistics, probability theory, and linear algebra 
Familiarity with classical machine learning algorithms, types of tasks, ability to apply them to business problems
Ease of working on tasks both in a team and independently. Willingness to learn and share knowledge
English: Intermediate+

**Nice to have:**
BSc or equivalent in Mathematics, Statistics, Computer Science, Economics, or another related field
Experience working with Google Cloud Platform, BigQuery, Docker, Linux, Streamlit, FastAPI, Dask
Hands-on experience with fraud analytics and recommendation systems
 
**Work Life Balance:**
22 paid leave days and two extra paid leave days per year for every year up to 32 days (working days) in addition to the public holidays (11 days). Extra leave days for every extra year at the company – 43 days including public holidays by year 5 of employment.
10 sick leave days per year (without a doctor’s note).
Medical leave: up to 30 days per year, documented with medical certificate
To support women candidates, we offer 21 weeks of maternity leave and 100% work from home until the child’s first birthday for mothers.
Men receive 4 weeks of paternity leave and can work from home until the child is 13 weeks old.

**Benefits and Office perks:**
Daily catered lunch or lunch allowance
Private Medical insurance
Gym membership
Fruits Friday
Access to online learning platforms Udemy for Business and O’Reilly and budget for external training
Massage at work
Frequent free-bar parties, annual whole-company parties (have previously rented our own planes to get everyone together!)
Fun corner: ping pong table, Xbox, lots of board games.