Senior Data Scientist

Senior Data Scientist - Applied Machine Learning

Remote

3-6+ Months

Hands-on senior technical resource on a two-person KCS project team focused on developing an ML solution for identifying high-value Cisco Learning engagement opportunities.

Required Skills

Machine Learning / Statistics

• Traditional predictive ML

• Statistical modeling

• Classification / probability-based modeling

• Feature engineering and feature selection

• Feature importance / ablation analysis

• Model evaluation and calibration

• Class-imbalance techniques

• Holdout and temporal validation

• Leakage identification and prevention

• Logistic Regression

• Gradient Boosted Trees, including XGBoost/LightGBM

• Scikit-learn or comparable ML framework

Traditional ML, feature engineering, statistical modeling, classification/probability analysis, class imbalance, and seasonality as key areas of need.

Languages / Data

• Advanced Python

• SQL

• Pandas

• NumPy

• Relational/database analysis

• Structured + unstructured data

ML Lifecycle

• ML training/evaluation workflows

• Feature-engineering pipelines

• Model monitoring

• Model registries/versioning

• Experiment tracking

• Automated testing/retraining concepts

• Production-oriented ML practices

The operating model states that Kforce work will include understanding existing signals, building experiments against individual data sources, determining associated features/dimensions, and designing/proposing feature-engineering ML stages. Deep ML expertise is mandatory.

Preferred Skills

• Sales-domain feature engineering / predictive analytics

• Propensity modeling / opportunity or lead scoring

• Revenue-oriented predictive analytics

• Customer adoption, consumption, or renewal modeling

• Survival / time-to-event analysis

• NLP / text analytics

• MLflow

• Feature Store concepts

• Cloud ML ecosystem exposure

• Enterprise data and governance

• Prior Cisco experience

Important recruiter emphasis: Sales-domain ML/feature-engineering experience should be treated as especially important. Client Stakeholder explicitly wrote that “Experience and Expertise in ML, Feature Engineering in Sales Domain is must.”