Senior Data Scientist Remote in Saint Louis, MO, US

• Posted 1 day ago

• Updated 1 hour ago Full Time Part Time On-site USD $65-70/hr Fitment Dice Job Match Score™ 🔢 Crunching numbers... Job Details Skills

MACHINE LEARNING PYTHON SQL

Model Design

MACHINE LEARNING PYTHON SQL

Model Design Summary 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. Employers have access to artificial intelligence language tools ("AI") that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id:

91118290

Position Id:

Stellar - 17754-36448-1790868389 Posted 1 day ago