Develop, test, and deploy predictive and statistical models to support operational and strategic initiatives.
Perform exploratory data analysis to identify trends, anomalies, and opportunities.
Apply machine learning techniques (regression, classification, clustering, time series forecasting) as appropriate.
Evaluate model performance and iterate for accuracy and business impact.
Extract, clean, and transform data from multiple sources (SQL databases, APIs, flat files).
Build reproducible data pipelines and structured datasets for analysis.
Ensure data integrity, quality, and governance standards are upheld.
Translate analytical findings into clear, actionable recommendations.
Partner with WFM, operations, finance, and leadership teams to define analytical needs.
Support dashboard and reporting development in collaboration with BI resources.
Present findings to stakeholders in a concise, executive-ready format.
Identify automation opportunities to reduce manual reporting.
Recommend new tools, methodologies, or data sources to enhance insights.
Stay current with emerging data science techniques and best practices.

Bachelor’s degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, or related field or equivalent experience
2–3 years of experience in data science, analytics, or a related role.
Experience with Salesforce and CXone
Proficiency in Excel (pivot tables, formulas, charts)
Experience with BI tools (Tableau, Power BI, Looker, etc.).
Strong understanding of statistical concepts and model validation techniques.
Ability to communicate complex data clearly to non-technical stakeholders.
Strong analytical and problem-solving skills, with attention to detail and accuracy.
Knowledge of call center metrics, operations, and workforce management concepts.

Data Scientist

Key skills