Senior Data Scientist - AI & Growth at Scale (Remote)

Docplanner; United States; Hybrid; USD 140,000 - 190,000; Full time

Benefits offered by this job

Healthcare insurance

Flexible hours

Remote work

Office hubs

Job summary

Docplanner is seeking a Senior Data Scientist to transform large-scale data into actionable insights and scalable ML solutions that drive growth and operational excellence across product, operations, and business teams.

You will own data science and BI projects end-to-end—from problem framing to deployment and monitoring—combining strong technical skills with business acumen to deliver measurable impact at scale.

Qualifications

• 5+ years in Data Science, ML, or advanced analytics.
• Strong Python with Pandas, Scikit-learn, TensorFlow, or PyTorch.
• Experience with large datasets, SQL, and data warehouses (Redshift, BigQuery, Snowflake).
• Familiarity with MLOps and modern Dev practices (Git, Docker, MLflow, CI/CD).
• Ability to translate business needs into practical technical solutions.

Responsibilities

• Own end-to-end data science and BI projects from exploration to production deployment.
• Build predictive models and ML solutions to support decision making and efficiency.
• Analyze large datasets to uncover actionable insights and growth opportunities.
• Design, run, and evaluate experiments and A/B tests to validate hypotheses.
• Collaborate with Product, Sales, Marketing, and Engineering teams.
• Maintain scalable data pipelines and ML workflows with Data & ML engineering.
• Leverage AI tools and agents to automate workflows and speed up experiments.
• Contribute to best practices in model development, testing, deployment, and docs.

Skills

Python programming

Pandas

Scikit-learn

TensorFlow

PyTorch

Statistics & experiments

SQL & data warehouses

MLOps / CI/CD

Communication

Agile

Tools

Redshift

BigQuery

Snowflake

Git

Docker

MLflow

CI/CD

Job description

Docplanner is seeking a Senior Data Scientist to transform large-scale data into actionable insights and scalable ML solutions that drive growth and operational excellence across product, operations, and business teams.

You will own data science and BI projects end-to-end—from problem framing to deployment and monitoring—combining strong technical skills with business acumen to deliver measurable impact at scale.