Our client is looking for a Data Scientist - AI & Advanced Analytics
Duration : 3 months with extension possible
Location: Remote
Position Summary
The Data Scientist is responsible for developing advanced analytics, machine learning, optimization, and Generative AI solutions that support business decision-making and operational improvement. The role partners with business stakeholders and technical teams to identify opportunities, build analytical solutions, validate outcomes, and support production adoption in a responsible and governed manner.
Key Responsibilities
- Translate business problems into analytical, machine learning, and AI solution approaches.
- Define success metrics, KPIs, and measurable value outcomes for data science and AI initiatives.
- Perform exploratory data analysis, statistical analysis, data profiling, feature engineering, and model validation.
- Develop predictive, prescriptive, and optimization models including forecasting, classification, clustering, recommendation, anomaly detection, and scenario analysis.
- Design, test, and evaluate Generative AI, RAG, and agentic AI solution components where applicable.
- Create model evaluation frameworks covering accuracy, reliability, explainability, adoption, business impact, and responsible AI considerations.
- Prepare clear insights, recommendations, and technical documentation for both technical and non-technical audiences.
- Collaborate with Data Engineers, AI Architects, Product Owners, Business Analysts, and platform teams to move solutions from prototype to production.
Required Qualifications
- Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, Mathematics, or a related field.
- 3-8 years of experience in applied data science, machine learning, advanced analytics, or AI delivery.
- Strong hands-on experience with Python, SQL, statistics, machine learning, and data visualization.
- Experience with machine learning libraries such as scikit-learn, XGBoost, TensorFlow, PyTorch, or equivalent tools.
- Experience working with cloud-based data and analytics platforms such as Microsoft Fabric, Databricks, Azure ML, or similar environments.
- Strong communication skills with the ability to explain model results, assumptions, limitations, and recommendations to business stakeholders.
Preferred Qualifications
- Experience with CPG, retail, manufacturing, supply chain, finance, commercial analytics, or category management data.
- Experience with Azure AI Foundry, Copilot Studio, Fabric, Databricks, or comparable AI/analytics platforms.
- Understanding of MLOps, model monitoring, Responsible AI, data privacy, and production deployment practices.
- Experience with experimentation, A/B testing, causal inference, forecasting, optimization, or decision intelligence.
Core Competencies
- Business problem framing and analytical thinking.
- Applied machine learning and statistical modeling.
- Data storytelling and stakeholder communication.
- Experimentation, validation, and continuous improvement.
- Collaboration across business, data, platform, and architecture teams.
- Data Engineer - Enterprise Data & AI Platform
