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Day 155
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Senior Data Scientist
Sofia, Bulgaria
Open 5 months, first seen by us 155 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
- Not stated
What you’ll work on
Full postingDesign, build, test and deploy predictive and prescriptive models
Analyze large-scale player behavior data to recommend promotion and retention changes
Build fraud, anomaly and responsible gaming models
Design and evaluate A/B and multivariate tests
Present findings to technical and non-technical stakeholders
From the employer’s posting
Design, build, test, and deploy predictive and prescriptive models
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
Design and evaluate A/B and multivariate tests for product features and marketing campaigns
Visualize and present analytical findings to both technical and non-technical stakeholders
What you’ll bring
All qualificationsCore experience
- 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).
- Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies.
- Proven experience applying models to solve business problems (e.g., forecasting, segmentation, retention, player value optimization).
- Proficiency with data visualization tools (Tableau, Looker, or Power BI).
- Strong communication skills — able to explain complex technical concepts to non-technical audiences.
- Experience integrating data and models into production pipelines and dashboards.
Qualification wording
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).
Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies.
Proven experience applying models to solve business problems (e.g., forecasting, segmentation, retention, player value optimization).
Proficiency with data visualization tools (Tableau, Looker, or Power BI).
Strong communication skills — able to explain complex technical concepts to non-technical audiences.
Experience integrating data and models into production pipelines and dashboards.
Benefits in the posting
Full benefits wording- Competitive salary
- Premium Health insurance
- Career and skills development opportunities
- Fun and collaborative team environment
- New modern office space
From the employer’s posting.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 155 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 2, 2026155 days ago
- Recorded sightings
- 72
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Betty CA is hiring
4 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- SQL
- AWS
- Docker
- Kubernetes
- Looker
- Power BI
- Tableau
- NumPy
- pandas
- PySpark
- scikit-learn
Where the posting names them
- 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.
Nice to Have - Experience with AWS, Docker, Kubernetes, or other cloud and containerization technologies. - Background in NLP, time-series, or causal inference modeling.
- 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.
Your next step
Complete your application on job-boards.greenhouse.io. The employer’s form will show what is required.
Applying through Greenhouse
- No account needed: the form is one page, with an “Autofill my application” option that reads your resume.
- Greenhouse doesn’t read resumes over 2.5 MB, or details placed in a header, footer, text box, table or second column. The file still attaches, but a recruiter has to type you in by hand.
Already applied? Track this application
About the role
We file this job under Data Scientist, by the work the posting describes.
Data scientists use statistics and models to answer harder questions, such as whether a change worked, what demand will look like next quarter, or which customers are likely to leave.
Postings usually ask for Python or R, SQL, statistics, experiment design and common machine learning methods.
Unlike an ML engineer, a data scientist's main output is often an analysis or a first model, not software running inside a product.
US government figures for data scientists
- Median yearly pay, May 2025
- $120,230
- Expected change, 2025 to 2035
- 34.6% more jobsagainst 3.5% for all jobs
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-2051.
Job description
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:
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
Source details
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- Location & working pattern
Sofia, Bulgaria
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