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Senior Data Scientist | Betty CA

Betty Open
Sofia Senior Data Science

At a glance

Senior Data Science role at Betty. Sofia.

Pay not stated Data Scientist salary

RoleData Science
SenioritySenior
LocationSofia
PostedOct 27, 2025
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and put predictive models into use for churn, player value, segmentation, risk and fraud
  • Study player behavior to find value drivers and guide promotion, engagement and monetization choices
  • Create fraud and anomaly checks, plus responsible gaming models that support player safety and compliance
  • Plan and assess product and campaign experiments, then share statistically sound findings with varied audiences
  • Work with data engineers on scalable model pipelines, and track model quality, performance and repeatable analysis

What you bring

  • At least three years in data science, machine learning engineering or advanced analytics
  • Strong grounding in machine learning and statistics, with examples of applying models to business problems
  • You can work with Python and SQL, including advanced queries, ETL and performance tuning
  • You have analyzed datasets exceeding one hundred million rows across multiple sources
  • You can explain technical findings clearly to people without a technical background

Who this fits

This senior role suits a hands-on data scientist who can build models and turn analysis into practical decisions. You'll work with data engineers and present findings to both technical and non-technical colleagues. The role is based in Sofia, Bulgaria.

From the employer

About Us:
Betty is an innovative entertainment company pioneering at the intersection of real-money online casinos and casual mobile gaming.

Betty Canada is a scale up company accredited by the Alcohol and Gaming Commission of Ontario (AGCO) as a B2C operator in February 2023, we've set a new standard in the industry.

Our mission is to redefine the online casino experience by offering a uniquely transparent environment where players can relax, unwind, and enjoy themselves safely. We are committed to accessibility, fairness, and inclusivity, fostering a community of like-minded individuals who value ethical gaming practices and prioritize our players' safety and enjoyment above everything else.

Our Values:
  • We are honest – we value honesty in all aspects.
  • Bring the Olives – we offer premium customer experience.
  • Think Big – we believe in always striving for more.

Key Responsibilities
  • Design, build, test, and deploy predictive and prescriptive models (e.g., churn prediction, player lifetime value, segmentation, risk classification, fraud detection).
  • Analyze large-scale player behavioral data to identify key value drivers and recommend optimizations for promotions, engagement, and monetization strategies.
  • Develop models for anomaly detection, fraud prevention, and responsible gaming interventions to maintain a safe and compliant environment.
  • Design and evaluate A/B and multivariate tests for product features and marketing campaigns, ensuring statistically robust insights.
  • Partner with Data Engineers to ensure model pipelines are production-ready, automated, and scalable across cloud environments.
  • Visualize and present analytical findings to both technical and non-technical stakeholders, driving clear, data-informed decisions.
  • Monitor and refine model performance, automate recurring analyses, and ensure data quality and reproducibility.
Requirements
  • 3+ years of experience in a Data Scientist, Machine Learning Engineer, or advanced analytics role (ideally within iGaming, FinTech, or other consumer-facing digital products).
  • Strong theoretical understanding of machine learning and statistical algorithms (classification, regression, clustering, optimization).
  • Proven experience applying models to solve business problems (e.g., forecasting, segmentation, retention, player value optimization).
  • Skilled in Python (Pandas, NumPy, Scikit-learn, PySpark) and SQL (advanced querying, ETL processes, performance optimization).
  • Experienced in analyzing massive datasets (100M+ rows) across multiple sources.
  • Strong communication skills — able to explain complex technical concepts to non-technical audiences.
Nice to Have
  • Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies.
  • Background in NLP, time-series, or causal inference modeling.
  • Proficiency with data visualization tools (Tableau, Looker, or Power BI).
  • Experience integrating data and models into production pipelines and dashboards.
  • Familiarity with iGaming KPIs such as LTV, ARPDAU, Churn, and Player Retention metrics.
  • Understanding of A/B testing frameworks and experimental design.
What We Offer
  • Competitive salary
  • Premium Health insurance
  • Career and skills development opportunities
  • Fun and collaborative team environment
  • New modern office space
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Science

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Science work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.