ScoreFast for Staffing
ScoreFast provides predictive solutions for intelligent candidate matching, fraud detection, listing conversion, and better candidate engagement in the recruiting process.Industry Challenges
Slow and inefficient sourcing of candidates
High transaction costs
Imperfect matching; incomplete information
Career advisors randomly assigned, not based on candidate features or company attributes
Better understanding of candidate engagement in hiring journey
ScoreData Solutions
Intelligent Candidate Matching
ScoreFast provides intelligent matching using machine learning and deep neural network models
- Millions of data points and hundreds of features utilized for models
- Models continuously updated
- Candidate scoring
Candidate Segmentation/Targeting
Analyze and segment candidates for prioritized targeting
- Candidate Clustering
- Candidate Conversion Prediction
Candidate Engagement
- Monitor, track and predict candidate engagement
Listing Forecasting
Forecast which companies to contact to earn job listings.
- Understands market demands.
- Recommends companies to target.
Job Application Anomaly Detection
Use NLP and machine learning to detect anomalies in job applications.
- NLP to parse job applications
- Machine Learning to detect inconsistencies
ScoreData Solutions
Intelligent Candidate Matching
ScoreFast™ provides intelligent matching by using many Machine Learning and Deep Neural Network Models.
- Millions of data points and hundreds of features are utilized for models.
- Models Continuously Updated
- Candidate Scoring
Candidate Segmentation/Targeting
Analyze potential candidates in order to segment them into groups to proactively go after.
- Candidate Clustering
- Candidate Conversion Prediction
Candidate Engagement
ScoreFast™ can use Machine Learning models to analyze candidate engagement.
- Monitor and track candidate engagement
- Predict future candidate engagement
Listing Forecasting
Forecasting what Companies to contact to get job listings.
- Understands Market Demands
- Recommends Companies to Target
Job Application Anomaly Detection
Utilizing NLP and Machine Learning to detect anomalies in job applications.
- NLP to parse job applications
- Machine Learning to detect inconsistencies
ScoreFast Approach
Data Ingestion
Ingest diverse sources of data automatically.
Models & Algorithms
ScoreFast enables an efficient and iterative approach for building machine learned and deep learning models. Business constraints and econometric factors are used in the optimization algorithms. Models are federated to provide an optimal outcome.
Automated Model Deployment
ScoreFast’s dynamic learning technology keep tracks of model efficacy and automatically rebuilds models. ScoreFast facilitates the model refinement process, model maintenance and cross-team collaboration via model tracking, access control and sharing, and version control.
ScoreFast Approach
Data Ingestion
Ingest diverse sources of data automatically.
Models & Algorithms
ScoreFast™ enables an efficient and iterative approach for building machine learned and deep learning models. Business constraints, econometric factors as well state information are used in the optimization algorithms for the final recommendation. Models are federated to provide the optimal outcome.
Automated Model Deployment
ScoreFast’s Dynamic Learning technology keep tracks of model efficacy and automatically rebuilds models. ScoreFast™ facilitates the model refinement process, model maintenance and cross-team collaboration via model tracking, access control and sharing, and version control.
Customer Success
66% improvement in candidate recruiting
Our client, a large staffing organization with more than $100M in yearly revenue, provides services to recent graduates. Our client’s mission is to help companies attract the best new talent. Agents (known as operators) approach prospective companies to get job listings on their site.