Senior Data Scientist

Job summary

Design, develop, and deploy end-to-end machine learning and AI solutions from exploration to production. Collaborate with cross-functional teams to build predictive models and communicate findings through dashboards and reports.

Job details

We are looking for an experienced Senior Data Scientist to deliver enterprise AI and machine learning solutions from exploration to production. The ideal candidate has strong expertise in applied machine learning, statistical modeling, Python, SQL, and cloud-based data science platforms. What you'll do Design, develop, and deploy end-to-end machine learning and data science solutions Perform data exploration, feature engineering, model development, validation, and performance evaluation Build predictive models for forecasting, classification, regression, recommendation systems, churn prediction, anomaly detection, and marketing optimization Conduct experimentation and A/B testing to generate actionable business insights Collaborate with data scientists, ML engineers, data engineers, and business stakeholders Communicate analytical findings using dashboards, reports, and visualizations Support model deployment, monitoring, and production readiness using cloud-based ML platforms Contribute to AI and analytics best practices across enterprise initiatives What you bring 8+ years of experience in Data Science and Machine Learning Strong expertise in Python, SQL, statistical modeling, and predictive analytics Experience with feature engineering, model evaluation, experimentation, and A/B testing Hands-on experience with Azure Machine Learning, Databricks, and MLflow Experience working with cloud-based AI and analytics platforms Knowledge of visualization tools such as Tableau or Power BI Strong analytical, communication, and problem-solving skills Ability to work independently and collaborate with cross-functional teams Nice to have Experience with recommendation engines, personalization, churn prediction, and anomaly detection Knowledge of Azure cloud services and enterprise AI platforms Experience deploying production-grade machine learning solutions Background in enterprise analytics or AI Centers of Excellence

What you’ll do

Design, develop, and deploy end-to-end machine learning and AI solutions from exploration to production. Collaborate with cross-functional teams to build predictive models and communicate findings through dashboards and reports.

Requirements

Requires over 8 years of experience in Data Science and Machine Learning with strong proficiency in Python, SQL, and cloud platforms like Azure. Candidates should have expertise in statistical modeling, experimentation, and deploying production-grade ML solutions.

Listed skills

• Microsoft Azure · Preferred
• Évaluation · Preferred
• SQL · Preferred
• Production · Preferred
• Analytical · Preferred
• Teams · Preferred
• Data analysis · Preferred
• Machine learning · Preferred
• Communication · Preferred
• Development · Preferred
• Python · Preferred
• Forecasting · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Python
• SQL
• Statistical Modeling
• Predictive Analytics
• Azure Machine Learning
• Databricks
• MLflow
• Tableau
• Power BI
• Feature Engineering
• A/B Testing
• Machine Learning
• Data Exploration
• Model Validation
• Cloud Computing
• Data Visualization

Job areas

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

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