Senior Data Scientist (Remote Friendly)

OverviewAs a Senior Data Scientist at Docplanner, you translate complex data into actionable insights and scalable ML solutions that drive growth and operational excellence.You will own end-to-end data science and BI projects across Business, Operations, and Product, collaborating with stakeholders and engineering teams.You’ll build predictive models, analyze large datasets, and design experiments to validate hypotheses.This role supports global AI initiatives and helps scale data pipelines and ML workflows, with a focus on impact and pragmatic delivery.Compensaciones / BeneficiosHealthcare insuranceWellness programsGenerous time offLocal location perksCareer growth opportunitiesGlobal, diverse teamResponsabilidadesOwn end-to-end data science and BI projects from exploration to production deploymentBuild predictive models and ML solutions to support decision-making and efficiencyAnalyze large datasets to identify insights, trends, and growth opportunitiesDesign and evaluate experiments and A/B tests to validate hypothesesCollaborate with Product, Sales, Marketing, and Engineering teamsImprove and maintain scalable data pipelines and ML workflows with Data & ML engineeringLeverage AI tools and agents to automate workflows and accelerate experimentationContribute to best practices in model development, testing, deployment, and documentationRequisitos principales5+ years in Data Science, ML, or Advanced Analytics rolesStrong Python skills with Pandas, Scikit-learn, TensorFlow, or PyTorchSolid understanding of statistics, experimentation, ML, and model evaluationExperience with large datasets, SQL, and data warehouses (Redshift, BigQuery, Snowflake)Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD)Experience using AI-powered tools or AI agents to improve efficiencyStrong communication and ability to translate business needs into technical solutionsComfortable in agile, fast-paced, cross-functional environmentsStrong communicationCross-functional collaborationProblem-solving mindsetPythonPandasScikit-learn

Requisitos principales5+ years in Data Science, ML, or Advanced Analytics roles Strong Python skills with Pandas, Scikit-learn, TensorFlow, or PyTorch Solid understanding of statistics, experimentation, ML, and model evaluation Experience with large datasets, SQL, and data warehouses (Redshift, BigQuery, Snowflake) Familiarity with MLOps and modern development practices (Git, Docker, MLflow, CI/CD) Experience using AI-powered tools or AI agents to improve efficiency Strong communication and ability to translate business needs into technical solutions Comfortable in agile, fast-paced, cross-functional environments Strong communication Cross-functional collaboration Problem-solving mindset Python Pandas