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eCommerce • Retail • Software • Sports
Develops data science and advanced analytics solutions for Sportsbook and Casino businesses. Responsibilities include building machine learning, personalization, promotion, player segmentation, and Lifetime Value models; conducting experimentation and causal analysis; partnering with commercial stakeholders; and delivering data-driven recommendations to improve marketing efficiency and business performance.
Top Skills:
A/B TestingCausal InferenceGenerative AiLlmsMachine LearningPythonSQLUplift Modeling
eCommerce • Retail • Software • Sports
Develop and test mathematical models for sports betting pricing and risk management. Collect, clean, and analyze sports and betting data to identify trends and improve trading strategies. Use Python, C#, R, or C++ to automate quantitative analysis, collaborate with quants and traders, document methodologies, and support pricing and risk model improvements.
Top Skills:
C#C++Machine LearningPythonR
eCommerce • Retail • Software • Sports
Analyze Sportsbook product performance, conduct testing, create regular and ad hoc reports, and deliver insights that support product development and user-experience optimization. Partner with senior stakeholders, analysts, and data scientists to guide data-driven decisions. Develop statistical analyses and models, present metrics, and serve as a trusted analytical advisor within a fast-growing sports betting and gaming organization.
Top Skills:
AmplitudeGitPower BIPythonRSQLTableau
eCommerce • Retail • Software • Sports
Lead the design, development, testing, deployment, and maintenance of scalable promotions and rewards software. Guide engineering teams, make architecture and technical trade-off decisions, troubleshoot production issues, improve operational excellence, conduct code reviews, mentor engineers, and influence engineering best practices. Collaborate with product leaders and stakeholders while participating in planning, documentation, and on-call support. Occasional travel to offices, conferences, events, meetings, and team-building activities is required.
Top Skills:
Apache KafkaAWSJavaPostgresReactSpring Boot
eCommerce • Retail • Software • Sports
Leads platform engineering initiatives across AWS cloud infrastructure, Kubernetes, CI/CD, GitOps, Infrastructure as Code, observability, and developer tooling. The role architects reliable and scalable platforms, improves developer productivity and operational excellence, partners with application teams, leads cross-team technical programs, mentors engineers, and participates in on-call rotations.
Top Skills:
AWSCi/CdGitopsGoInfrastructure As CodeJavaKotlinKubernetesObservabilityPythonTerraform
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