Senior Data Scientist

POSITION: Senior Data Scientist

INDUSTRY: Telecommunications

LOCATION: Remote

DURATION: 3 Month ( Possibility for extension )

RATE: $70/HR C2C

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REQUIRED SKILLS

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