Note: The job is a remote job and is open to candidates in USA. Dice is hiring a P2 Data Scientist to support campaign development and machine learning-driven member engagement initiatives. The role will build, deploy, and evaluate production-scale models, develop data-driven marketing campaigns, and connect analytical insights to business outcomes through experimentation, KPI measurement, and cross-functional collaboration.
Responsibilities
- Design, build, and deploy machine learning models at production scale
- Take ownership of existing ML models and improve performance and reliability
- Develop and launch data-driven marketing campaigns
- Partner with data engineers to productionize pipelines (DAGs, workflows)
- Conduct campaign sizing and impact analysis (ROI, KPI development, assumptions)
- Evaluate campaign effectiveness post-launch using proper experimentation methods
- Translate ambiguous business problems into analytical approaches and solutions
- Ensure data quality, validation, and production readiness of outputs
- Identify new campaign opportunities and propose innovative data-driven ideas
- Analyze model outputs and continuously optimize performance
Skills
- This is a W2 role, and we are only looking for a w2 candidate, with Visa independency. NO C2C and sponsership
- * Proficient in SQL/Python
- * Must have knowledge/experience on A/B tests, statistical analysis, machine learning
- * Strong SQL and Python (independent development required)
- * Experience building and deploying ML models in production environments
- * Experience with data pipelines and workflow orchestration (e.g., DAGs)
- * Working knowledge of cloud data platforms (Google Cloud Platform preferred)
- * Data validation, quality assurance, and production readiness practices
- * Experience with experimentation and A/B testing
- * Strong analytical thinking for sizing problems and estimating business impact
- * Ability to define and align on KPIs and success metrics
- * Experience evaluating model effectiveness
- * Strong business acumen (ability to connect data insights to business outcomes)
- * Ability to work with ambiguous, open-ended problems
- * Attention to detail (sanity checks, data validation)
- * Strong collaboration with cross-functional teams (engineering + business)
- * Proactive ideation and problem-solving mindset
- * Preferred Healthcare experience
- * Preferred MS with 2-3 years of experience
- * Healthcare domain experience (especially member engagement/use cases)
- * Prior campaign management or marketing analytics experience
- * Familiarity with Claude or AI-assisted workflows
- * Experience with campaign configuration platforms
Benefits
- Remote work
Company Overview