EveryMatrix
Linkedin · Posted 2mo ago
Data Scientist
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Indexed description
EveryMatrix is seeking a highly skilled Data Scientist with expertise in CRM and customer behaviour analysis to join our CRM Data Science team. You will play a crucial role in analysing customer behaviour on our gambling platforms, providing insights and building features that will drive our business strategies and enhance customer engagement.
Key Responsibilities:
- Analyse large datasets to uncover patterns and insights related to customer behavior.
- Develop predictive models to forecast customer activities and trends.
- Collaborate with cross-functional teams to implement data-driven strategies.
- Define and track key performance indicators (KPIs).
- Utilise machine learning techniques to optimize CRM strategies, especially related to automated campaign optimisation.
- Communicate findings and recommendations to stakeholders in a clear and concise manner.
- 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 modelling.
- Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.
- Excellent problem-solving skills and attention to detail.
- 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 working in an analytics role in the gambling industry.
- Experience with CRM data analysis and customer segmentation.
- Knowledge of tensorflow / pytorch.
- Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery.
- Experience in design and evaluation of A/B tests.
- 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.
- Predicting future expected value and future potential value of individual customers.
- Real-time prediction of customer churn.
- Building multi-level customer segmentation driven by predictive models.
- 2 additional days of paid leave added each year until your fifth year with us.
- Hybrid work schedule is available after the first three months of employment.
- Monthly meal allowance.
- Gym allowance.
- Private Healthcare
- Access online learning platforms like Udemy for Business and LinkedIn Learning, and a budget for external training.
- Benefit from two Free Fridays each year, limited to one per quarter.
- Support for New Parents:
- 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.
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