Develop predictive models for Sportradar's sportsbook risk-management and odds-trading products using large sports and betting-transaction datasets. Analyze data, build ML solution…
What remote senior data & analytics roles pay in iGaming — typical range, floor and ceiling, with the full ladder for context.
Typical range
$4,000 – $6,000/mo
Lowest minimum
$2,800
Highest maximum
$7,500
$48k – $72k/yr · Illustrative — real figures from listings will replace these automatically.
The most useful cut: what each level actually pays.
Beyond seniority, these factors move data & analytics salaries up or down significantly.
Player behaviour modelling
Data scientists and analysts with shipped player churn, LTV or fraud models in iGaming contexts are rare — expect above-average compensation at all levels.
Real-time pipeline experience
Data engineers who have built streaming pipelines (Kafka, Flink, Spark Streaming) for betting events earn a premium over batch-only backgrounds.
Stack depth
ClickHouse + dbt for OLAP analytics on betting data is a recognisable niche that pays above Postgres-only or Redshift-only experience.
Responsible gambling analytics
Analysts who have built or operated RG risk-scoring models are in high demand as regulators tighten requirements — a specialised niche with a clear salary premium.
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