isolved · 2 days ago
Data Scientist
Charlotte, NC
Full-time
Onsite
Mid Level
3+ years expisolved is a provider of human capital management (HCM) solutions, and they 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 be instrumental in driving revenue growth and retention strategies by leveraging advanced machine learning and statistical modeling.
Employee BenefitsFinancial ServicesHuman ResourcesProfessional ServicesSaaSSoftware
Responsibilities
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
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
Conduct A/B tests and back testing to validate model effectiveness
Apply techniques for model monitoring, drift detection, and retraining in production
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
Qualification
Required
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
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
Company
isolved
isolved is an employee experience leader, providing intuitive, people-first HCM technology.
1001-5000 employees
H1B Sponsorship
isolved has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
2020 (2)
Funding
Current Stage
Late StageTotal Funding
$350MKey Investors
Goldman Sachs Alternatives
2025-08-08Secondary Market· $350M
2011-09-20Private Equity
Leadership Team
James Norwood
Non Executive Board Director
Recent News
24-7 Press Release Newswire
2025-10-17
Company data provided by crunchbase