Job Description

Data Scientist

Summary/objective

We are seeking a highly skilled Data Scientist to focus on building and deploying predictive models that identify customer churn risk and upsell opportunities. This role will play a key part in driving revenue growth and retention strategies by leveraging advanced machine learning, statistical modeling, and large-scale data capabilities within Databricks.

Why Join Us?

Be at the forefront of using Databricks AI/ML capabilities to solve real-world business challenges.

Directly influence customer retention and revenue growth through applied data science.

Work in a collaborative environment where experimentation and innovation are encouraged.

Core Job Duties:

Model Development

Design, develop, and deploy predictive models for customer churn and upsell propensity using Databricks ML capabilities.
Evaluate and compare algorithms (e.g., logistic regression, gradient boosting, random forest, deep learning) to optimize predictive performance.
Incorporate feature engineering pipelines that leverage customer behavior, transaction history, and product usage data.

Data EngineeringPipeline Ownership

Build and maintain scalable data pipelines in Databricks (using PySpark, Delta Lake, and MLflow) to enable reliable model training and scoring.
Collaborate with data engineers to ensure proper data ingestion, transformation, and governance.

ExperimentationValidation

Conduct A/B tests and back testing to validate model effectiveness.
Apply techniques for model monitoring, drift detection, and retraining in production.

Business ImpactStorytelling

Translate complex analytical outputs into clear recommendations for business stakeholders.
Partner with Product and Customer Success teams to design strategies that reduce churn, increase upsell and improve customer retention KPIs.

Minimum Qualifications:

Master's or PhD in Data Science, Statistics, Computer Science, or related field (or equivalent industry experience).
3+ years of experience building predictive models in a production environment.
Strong proficiency in Python (pandas, scikit-learn, PySpark) and SQL.
Demonstrated expertise using Databricks for:
Data manipulation and distributed processing with PySpark.
Building and managing models with MLflow.
Leveraging Delta Lake for efficient data storage and retrieval.
Implementing scalable ML pipelines within Databricks' ML Runtime.
Experience with feature engineering for behavioral and transactional datasets.
Strong understanding of customer lifecycle analytics, including churn modeling and upsell/recommendation systems.
Ability to communicate results and influence decision-making across technical and non-technical teams.

Preferred Qualifications:

Experience with cloud platforms (Azure Databricks, AWS, or GCP).
Familiarity with Unity Catalog for data governance and security.
Knowledge of deep learning frameworks (TensorFlow, PyTorch) within Databricks.
Exposure to MLOps best practices (CI/CD for ML, model versioning, monitoring).
Background in SaaS, subscription-based businesses, or customer analytics.

Physical Demands

Prolonged periods of sitting at a desk and working on a computer. Must be able to lift up to 15 pounds.

Travel Required: Limited

Work Authorization: Employees must be legally authorized to work in the United States.

FLSA Classification: Exempt

Location: Any

About isolved

isolved is a provider of human capital management (HCM) solutions that help organizations recruit, retain and elevate their workforce. More than 195,000 employers and 8 million employees rely on isolved's software and services to streamline human resource (HR) operations and deliver employee experiences that matter. isolved People Cloud™ is a unified yet modular HCM platform with built-in artificial intelligence (AI) and analytics that connects HR, payroll, benefits, and workforce and talent management into a single solution that drives better business outcomes. Through the Sidekick Advantage™, isolved also provides expert guidance, embedded services and an engaged community that empowers People Heroes™ to grow their companies and careers. Learn more at www.isolvedhcm.com.

isolved is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status. isolved is a progressive and open-minded meritocracy. If you are smart and good at what you do, come as you are. Visit www.isolvedhcm.com/careers for more information regarding our incredible culture and focus on our employee experience. Visit www.isolvedeebenefits.com for a comprehensive list of our employee total rewards offerings.

In adherence to relevant pay transparency legislation and regulations, we endeavor to offer clarity regarding our compensation methodology for this position. While specific pay ranges are presently under review to ensure alignment with competitive market standards, we will furnish this information upon finalization.

At our organization, individual compensation structures are established through a consistent and equitable process, taking into account various pertinent factors. These factors encompass geographic location, job-specific competencies, educational attainment, professional certifications, and pertinent experience. This structured approach enables us to align our total rewards package competitively with each employee's qualifications, duties, and contributions to our collective success.

An employee's comprehensive compensation package comprises diverse components, such as base salary, performance-linked bonuses or commissions, long-term incentives like equity grants, and an extensive benefits portfolio. Should you advance as a finalist candidate, you will have the opportunity to explore our overarching compensation philosophy, practices, and how your unique background informs an appropriate compensation proposition.

Our commitment lies in fostering a fair, impartial, and transparent compensation framework throughout our workforce. All compensation determinations are aimed at justly acknowledging and rewarding the value, qualifications, and significant contributions that our employees bring to their roles and to the company's achievements. We welcome your inquiries about our principles of pay equity, accompanying analyses, and associated procedures throughout the recruitment process.

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