The Role Develop predictive, prescriptive, forecasting, valuation, and portfolio-performance models supporting collections, acquisitions, and business strategy. Build production data pipelines, transformations, analytical workflows, data models, quality checks, and monitoring frameworks using SQL, Python, and/or R. Perform exploratory analysis, create dashboards and reports, translate business needs into technical solutions, and collaborate with analytics, engineering, and business stakeholders. Summary Generated by

Built In Position:

Data Scientist Department:

MIS /

Analytics Position Type:

Full Time, Exempt Location:

Remote. The successful candidate must be based in the US, and able to work Eastern Standard hours. Invenio Financial, a Phillips & Cohen Associates company and leader in the debt purchasing and receivables management industry, is seeking a talented Data Scientist to join our growing Analytics team. This role will focus on performing deep dive analysis, develop machine learning, forecasting and prescriptive models. This role combines predictive modeling, financial modeling, data modeling, and applied analytics to build scalable processes to support portfolio acquisitions and strategy.

Responsibilities :

Develop predictive and prescriptive models used to forecast collections and support portfolio acquisition and business strategy decisions. Deploy, monitor, or maintain predictive or prescriptive models in production environments. Support analysis and models for portfolio acquisition opportunities. Apply statistical and machine learning techniques to improve hybrid forecasts. Design, build, and maintain robust data pipelines, transformations, and analytical workflows using SQL, Python and/or R. Contribute to scalable data models and schemas to support portfolio valuation, forecasting, reporting, and operational analytics. Implement data quality rules, validation logic, automated QA checks, and monitoring frameworks to ensure data integrity. Perform exploratory data analysis to identify trends, data gaps, and metric behavior related to portfolio performance. Translate business questions and acquisition strategy into technical requirements, datasets, and analytical solutions. Create reports, dashboards, and analytical outputs that are usable and interpretable by non-technical stakeholders. Collaborate closely with analytics, engineering, and business partners to align data definitions, metrics, and logic. Document data pipelines, models, transformations, business rules, and data dictionaries to support governance and continuity.

Qualifications:

Minimum of 5 years of experience in data science or data analytics roles. Advanced Excel and SQL skills with hands-on experience building scalable transformations and data models. Proficiency in Python and/or R for analytics, automation, and modeling. Experience developing forecasting, valuation, pricing, or portfolio performance models. Experience with BI and visualization tools such as Power BI, Tableau, or Looker. Strong analytical thinking with the ability to translate complex data into actionable business insights. Ability to work effectively in ambiguous, open-ended problem spaces. Strong written and verbal communication skills with both technical and non-technical audiences. Strong understanding of statistical concepts, predictive modeling techniques, machine learning workflows, model validation methodologies, and model performance evaluation. Preferred Qualifications Familiarity with Git or version control systems. Background in financial services, portfolio analytics, forecasting, or operations analytics. Strong background in predictive, descriptive, and prescriptive modeling techniques. Understanding tree-based and survival models.

Core Competencies :

Drives Results Decision Quality Instills Trust Balances Stakeholders Collaborates Resourcefulness Nimble Learning Plans and Aligns Optimizes Work Processes Tech Savvy Compensation:

Compensation for this role is between $120,000 - $160,000 with bonus potential. This range does depend on various factors; for example education, experience, and location. About Phillips & Cohen Associates, Ltd. PCA provides Equal Employment Opportunity for all individuals regardless of race, color, religion, gender, age, national origin, disability, marital status, sexual orientation, veteran status, genetic information and any other basis protected by federal, state or local laws and r easonable accommodations may be made to enable individuals with disabilities to perform the essential functions of our jobs. Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice. Read Full Description Skills Required Minimum 5 years of experience in data science or data analytics roles Advanced Excel and SQL skills Hands-on experience building scalable transformations and data models Proficiency in Python and/or R for analytics, automation, and modeling Experience developing forecasting, valuation, pricing, or portfolio performance models Experience with BI and visualization tools such as Power BI, Tableau, or Looker Strong analytical thinking and ability to translate complex data into actionable business insights Ability to work effectively in ambiguous, open-ended problem spaces Strong written and verbal communication skills with technical and non-technical audiences Understanding of statistical concepts, predictive modeling, machine learning workflows, model validation, and model performance evaluation Familiarity with Git or version control systems Background in financial services, portfolio analytics, forecasting, or operations analytics Strong background in predictive, descriptive, and prescriptive modeling techniques Understanding of tree-based and survival models View all jobs at Phillips & Cohen Associates View Phillips & Cohen Associates Profile Report Job