Senior Data Scientist - R01573750

Primary Skills

Specialization

Job requirements

This Senior Data Scientist role develops customer-focused analytics and recommendation solutions to help business and sales teams identify growth, retention, and cross-sell opportunities. The work spans modeling and production delivery, BI outputs, stakeholder communication, and technical guidance to junior colleagues.

Role at a glance

Skills mentioned

What you will likely work on

• Translate business needs into data science problems and customer insights.
• Build statistical and machine-learning models for targeting, acquisition, cross-sell, upsell, retention, and churn.
• Create recommendation frameworks using customer segments, product usage, revenue and opportunity data, and business rules.
• Analyze propensity, opportunity sizing, quantile regression, and peer benchmarks to surface growth potential.
• Manage analytics delivery across requirements, exploration, feature engineering, modeling, validation, testing, and deployment.
• Connect analytical outputs with BI platforms through KPIs, dashboards, and visualizations.
• Work with business and leadership stakeholders to validate solutions, define rules, and communicate findings.
• Guide technical delivery through solution design, documentation, reviews, knowledge sharing, and mentoring.

Good fit signals

• At least five years of experience designing and delivering data-driven decision analytics or business intelligence solutions aligns with the stated experience range.
• You have hands-on experience with Python, Pandas, PySpark, SQL, Databricks, and production analytics delivery.
• You can apply statistical and predictive methods to customer targeting, recommendations, and revenue opportunities.
• You communicate analytical findings clearly to business stakeholders and executive audiences.
• Experience with documentation, user guides, pipeline orchestration, Excel VBA, or peer benchmarking is helpful but preferred.