Machine learning Engineer
Core
Build dashboards, answer business questions, and generate predictive insights using data analysis and machine learning techniques to shape product development and company initiatives.
Role type
Data Analyst with Machine Learning capabilities
Builds
Dashboards, predictive models, and analytical workflows
Domain
Healthcare / SaaS
Deliverable
dashboards & analysis
Required skills
SQL, Python (pandas, NumPy, SQLAlchemy), data analysis, machine learning (regression, classification, clustering, time series), ETL pipeline construction, data mining
Preferred skills
Product analytics (adoption, churn, cohorts, funnel analysis), ML frameworks (scikit-learn, XGBoost), automation scripting
Technologies
Python, SQL, pandas, NumPy, SQLAlchemy, scikit-learn, XGBoost
Responsibilities
Build and maintain Python-based data pipelines and automation scripts; conduct in-depth data analysis and report on key metrics; apply data science and ML techniques to solve business problems and generate predictive insights; support new product launches, A/B testing, and root cause investigation; communicate data findings to multi-disciplined teams; collaborate with stakeholders on initiatives improving company-level KPIs.
Seniority
Mid-level, hands-on IC
