Data Scientist (Python, ML, SQL)

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 300 customers worldwide. With a team of over 1400 passionate individuals spread across fifteen offices in Europe and Asia, we're all united by our love for innovation and teamwork. Join us on this exciting journey as we continue to redefine the iGaming landscape, one groundbreaking solution at a time.

We are looking for an Experienced CRM Data Scientist to join our team in London! We are seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement. We are building a new real-time CRM platform, and this is a great chance to have a profound impact on the project.

Responsibilities:

• Collaborate with cross-functional teams to implement data-driven strategies.
• Define and track key performance indicators (KPIs).
• Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization.

Requirements:

• Master's or PhD degree in a quantitative field.
• Proven experience of large-scale data analysis and hypothesis testing.
• Strong proficiency in statistical analysis and predictive modeling.
• Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.
• Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
• Willingness to take ownership of analytics projects and be the engine driving them from ideation phase till bringing out the product to customers, and beyond.
• Experience with CRM data analysis and customer segmentation.
• Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery.
• Familiarity with Bayesian statistics, especially for hypothesis testing.
• Extra points for good knowledge of Bayesian programming (PyMC3, etc).
• Experience with application of optimization theory or reinforcement learning based on automated A/B testing.

Projects you might expect to work on:

• Predicting future expected value and future potential value of individual customers.
• Building multi-level customer segmentation driven by predictive models.

Start with 25 days of annual leave, with 2 additional days added each year, up to 35 days by your fifth year with us.

Stay Healthy: additional 10 sick leave days per year, no doctor's note required.

Hybrid work schedule: 60% work from the office and 40% work from home per quarter (during your first 3 months, you'll be in the office full-time).

Benefits & Perks:

• Monthly meal allowance.
• Gym allowance.
• Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
• 52 weeks of maternity leave, with 21 weeks being fully paid.
• 4 weeks of paternity leave, plus the flexibility to work from home full time until your child is 13 weeks old.

In September 2023 it became the first iGaming supplier to receive WLA Safer Gambling Certification. EveryMatrix is proud of its commitment to safer gambling and player protection whilst producing market leading gaming solutions.