EveryMatrix Ltd is an independent software development company founded in 2008 with its headquarters in St. Julian’s, Malta, and its main development offices in Lviv, Ukraine and Bucharest, Romania. EveryMatrix has over 900 employees working across Europe, USA and Asia.
18 грудня 2023

Data Scientist/Sports Quantitative Analyst (вакансія неактивна)

Львів

We are looking for a bright individual with interest and some experience in statistical sports modelling and risk assessment. Good understanding of statistics and probability theory, along with attention to detail and a hands-on attitude are key in this role.

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 has 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.

Responsibilities:

  • Analysis of selected sport, designing and implementing statistical model, analyze performance aiming to identify areas for improvement.
  • Data gathering and preparation to create sports models.
  • Assess various mathematical modelling techniques and measure their performance.
  • Implement the approved model in cooperation with developers.
  • Instruct the responsible department how to use the model and resolve potential issues.
  • Supports Product Development in mathematical aspects (for instance by creating a formula for a new betting feature).
  • Play a challenging partner role within the team.

Requirements:

  • A solid understanding of the fundamentals of statistical prediction and probability theory including (but not limited to) an in-depth knowledge of regression and model fitting
  • Intellectual curiosity, creativity and confidence to try new approaches
  • Excellent problem solving and communication skills
  • Programming experience, ideally in Python or R
  • An interest in sports or competitive games
  • Master’s qualifications in a quantitative field (mathematics/statistics/physics/etc), postgraduate/research experience (PhD/postdoc) are preferred.
  • Confidence to work with significant autonomy, ideally experience driving projects.
  • Fluent English

Skills that could help you to stand out:

  • Experience in a similar role
  • Quantitative research experience, possibly as part of a PhD or postdoc role
  • Strong Python and/or Java programming skills with exposure to data science
  • SQL skills
  • Prototyping experience
  • Kaggle profile
  • Familiarity to sports betting concepts
  • Experience with Markov Chains

What kind of challenges to expect:

  • Design and build a model that estimates how many points and in which combinations (doubles, triples, etc.) does an individual NBA player score during the current match in the next 2 minutes.
  • Design and build a model that assesses the probability of winning at any time during a FIFA (I.e. esport) match.
  • Identify the right content (sport, event, etc) to suggest to the right customer.

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 a 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.