Build predictive models with Python, SQL, and machine learning for enterprise data in a hybrid arrangement with three onsite days weekly. Turn analysis into measurable business insight.
As a Senior Data Analytical Specialist/Scientist, you will develop predictive and analytical solutions for priority business use cases. The work includes experimentation, feature engineering, model selection, validation, and business-value analysis. You will also support data maturity assessments and communicate findings to technical and executive audiences.
Key Responsibilities
Develop predictive models and prototypes for business use cases
Define hypotheses, methodologies, and analytical success measures
Assess data quality, availability, and readiness
Monitor analytical KPIs and evaluate business outcomes
Communicate recommendations clearly to technical and executive audiences
Requirements
Advanced hands-on proficiency in Python and SQL
Deep expertise in classification, regression, clustering, and experimentation
Knowledge of feature engineering, overfitting, and bias variance
Experience with real-world enterprise datasets and model validation
Solid business acumen and stakeholder-management skills
Bring predictive modelling, experimentation, statistical analysis, and business acumen to enterprise analytics and decision-making challenges.