Experienced CRM Data Scientist

EveryMatrix Ltd; London; On-site; GBP 60,000 - 70,000; Full time

Job summary

Join a dynamic and innovative team at a leading B2B SaaS provider in the iGaming industry! As an Experienced CRM Data Scientist, you'll dive deep into customer behavior analysis, utilizing your expertise to develop predictive models and drive impactful business strategies. This role offers the chance to work on exciting projects, including building a real-time CRM platform and analyzing large datasets to enhance customer engagement. With a commitment to innovation and teamwork, this is your opportunity to make a significant impact in a supportive and inclusive environment. Don't miss out on being part of this transformative journey!

Benefits

25 days of annual leave

5 days of sick leave

Access to learning resources (Udemy, LinkedIn, O’Reilly)

Qualifications

• Master's or PhD in a quantitative field required.
• Strong proficiency in statistical analysis and predictive modeling.
• Proficient in Python, R, and SQL.

Responsibilities

• Analyze large datasets to uncover customer behavior insights.
• Develop predictive models to forecast customer activities.
• Collaborate with teams to implement data-driven strategies.

Skills

Statistical analysis

Predictive modeling

Data analysis

Python

R

SQL

Machine learning

Data visualization

A/B testing

Customer segmentation

Education

Master's degree in a quantitative field

PhD in a quantitative field

Tools

Google Looker

BigQuery

TensorFlow

PyTorch

Job description

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.

But that's not all! We're not just about numbers, we're about people. With a team of over 1000 passionate individuals spread across twelve countries in Europe, Asia, and the US, 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!

Salary Range: £60,000 - £70,000 annually, based on experience and qualifications.

About the job:

We are seeking a highly skilled Data Scientist with expertise in CRM and customer behavior analysis to join our newly founded CRM Data Science team. You will play a crucial role in analyzing customer behavior 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.

Key Responsibilities:

1. Analyze large datasets to uncover patterns and insights related to customer behavior.
2. Develop predictive models to forecast customer activities and trends.
3. Collaborate with cross-functional teams to implement data-driven strategies.
4. Define and track key performance indicators (KPIs).
5. Utilize machine learning techniques to optimize CRM strategies, especially related to automated campaign optimization.
6. Communicate findings and recommendations to stakeholders in a clear and concise manner.

Requirements:

1. Master's or PhD degree in a quantitative field.
2. Proven experience of large-scale data analysis and hypothesis testing.
3. Strong proficiency in statistical analysis and predictive modeling.
4. Proficient in Python (pandas, scipy, numpy, scikit-learn) or R (tidyverse / data.table), along with SQL.
5. Excellent problem-solving skills and attention to detail.
6. Strong communication skills with the ability to present complex data insights to non-technical stakeholders.
7. Willingness to take ownership of analytics projects and drive them from ideation phase to product delivery.

What will make you stand out:

1. Experience working in an analytics role in the gambling industry.
2. Experience with CRM data analysis and customer segmentation.
3. Knowledge of TensorFlow / PyTorch.
4. Expertise in using data visualization tools such as Google Looker and working with Google's BigQuery.
5. Experience in design and evaluation of A/B tests.
6. Familiarity with Bayesian statistics, especially for hypothesis testing.
7. Experience with application of optimization theory or reinforcement learning based on automated A/B testing.

Projects you might expect to work on:

1. Predicting future expected value and future potential value of individual customers.
2. Real-time prediction of customer churn.
3. Building multi-level customer segmentation driven by predictive models.

Here's what we offer:

1. 25 days of annual leave.
2. 5 days of sick leave.
3. Access to learning resources (Udemy, LinkedIn, O’Reilly).

At EveryMatrix, we're committed to creating a supportive and inclusive workplace where you can thrive both personally and professionally. Come join us and experience the difference!