Senior Data Scientist

Original job posting

Develop and evaluate machine learning models to solve business problems such as churn prediction and personalization. Collaborate with cross-functional teams to deliver enterprise AI solutions from exploration to production.

Job details

We are seeking an experienced Senior Data Scientist to support Machine Learning and Data Science initiatives within our AI Center of Excellence. The successful candidate will bring strong expertise in applied machine learning, statistical modeling, analytics, and analytical problem-solving, with the ability to translate complex business requirements into practical data science solutions. Key Responsibilities Develop, evaluate, and interpret machine learning models, including regression and classification models. Perform data exploration, data preparation, feature engineering, model development, validation, and evaluation. Apply predictive modeling, forecasting, experimentation, and A/B testing to solve business problems. Translate business requirements into data-driven solutions and actionable insights. Communicate analytical findings and model outputs effectively to technical and business stakeholders. Collaborate with Data Scientists, ML Engineers, Data Engineers, and business partners. Support the delivery of enterprise AI and analytics solutions from initial exploration through production readiness. Contribute to use cases such as churn prediction, personalization, recommendation systems, marketing optimization, anomaly detection, and experimentation. Required Qualifications Strong hands-on experience with Python and SQL. Strong understanding of Machine Learning and Statistical Modeling. Experience with predictive modeling, forecasting, classification, and regression. Hands-on experience with experimentation and A/B testing. Strong knowledge of feature engineering, model evaluation, and model validation. Excellent analytical, problem-solving, and communication skills. Ability to work independently and effectively collaborate with cross-functional teams. Preferred Qualifications Experience with Azure, Azure ML, Databricks, or MLflow. Experience with Tableau, Power BI, or similar visualization platforms. Experience delivering machine learning solutions in an enterprise environment.

What you’ll do

Develop and evaluate machine learning models to solve business problems such as churn prediction and personalization. Collaborate with cross-functional teams to deliver enterprise AI solutions from exploration to production.

Requirements

Requires strong hands-on experience with Python, SQL, and statistical modeling. Candidates should be proficient in predictive modeling, experimentation, and communicating analytical findings to stakeholders.

Listed skills

• Microsoft Azure · Preferred
• Power BI · Preferred
• SQL · Preferred
• Tableau · Preferred
• Machine learning · Preferred
• Python · Preferred
• Forecasting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Machine Learning
• Statistical Modeling
• Predictive Modeling
• Forecasting
• A/B Testing
• Feature Engineering
• Model Validation
• Model Evaluation
• Azure
• Azure ML
• Databricks
• MLflow
• Tableau
• Power BI

Job areas

• Data & Analytics
• Technology
• Software
• Engineering
• Consulting