Job description

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team. Job Contract Details 6-9 month contract, open to hybrid and possibly remote arrangements. Candidates should have 5-10 years of experience and a Master's degree, alongside 1-2 years of strong data science and coding experience. Job Responsibilities The role focuses on enabling and simplifying analysis required for faster implementation of new CDH modeling features. Key deliverables include: • Library of required queries/scripts to replicate the CDH customer contextual object in external systems (Databricks/ASL) for deeper analysis. • Standardizing format for executing key data retrieval steps for use by the broader team, including: • Interaction to outcome attribution (account opens). • Model data to interaction mapping (model performance, predictor performance). • Member Profile to interaction mapping. • Create notebooks for the broader team to use to answer specific questions, such as: • Distribution Analysis. • Arbitration Analysis. • Channel Engagement Analysis. Required Skillset Candidates should have familiarity with the Databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred. Examples of Work • Initial Analysis to Support New Model Related Features: • Propensity Thresholds: • Creating the back-testing approach. • Establishing baseline KPIs. • Creating the monitoring approach. • Initial Model Maturity Analysis: • Establishing baseline KPIs. • Gauging the impact of enabling the feature. • Creating the ongoing monitoring approach. • On-going Analysis: • Model Performance Monitoring: Involvement in creating new logic when changes are needed. • NBI Program Model Health: Improving the state of current models for broader sharing. Broader Analytical Gaps Addressing analytical gaps that should be readily available: • "Actionable Monitoring Data": Standardizing analysis for consistency, including: • Capturing when propensity scores are exceptionally low closer to real-time (1 day). • Capturing when actions are not providing value to their intended objective (acquisition, engagement). • Eligible Audience Monitoring: • Identifying Members eligible for different actions/treatments. • Tying interactions back to key Member demographic data for more granular analysis. Ampcus is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veterans or individuals with disabilities.

Requirements

Must-haves

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.
Job Contract Details
6-9 month contract, open to hybrid and possibly remote arrangements. Candidates should have 5-10 years of experience and a Master's degree, alongside 1-2 years of strong data science and coding experience.
The role focuses on enabling and simplifying analysis required for faster implementation of new CDH modeling features. Key deliverables include:
Library of required queries/scripts to replicate the CDH customer contextual object in external systems (Databricks/ASL) for deeper analysis.
Standardizing format for executing key data retrieval steps for use by the broader team, including:
Interaction to outcome attribution (account opens).
Model data to interaction mapping (model performance, predictor performance).
Member Profile to interaction mapping.
Create notebooks for the broader team to use to answer specific questions, such as:
Distribution Analysis.
Arbitration Analysis.
Channel Engagement Analysis.
Required Skillset
Examples of Work
Initial Analysis to Support New Model Related Features:
Creating the back-testing approach.
Establishing baseline KPIs.
Creating the monitoring approach.
Establishing baseline KPIs.
Gauging the impact of enabling the feature.
Creating the ongoing monitoring approach.
Model Performance Monitoring: Involvement in creating new logic when changes are needed.

Nice-to-haves

Candidates should have familiarity with the Databricks environment and proficiency with Python/PySpark and SQL. Pega CDH experience is preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

pythonsql

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