[Remote] Data Scientist with Google Cloud Platform

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