onsite
Data Analytics AI Specialist - Cityfurnish
Software Engineer
Drive data‑driven decision making as a Data Analytics AI Specialist, building predictive models and visual dashboards using Python, SQL, Machine Learning, and cloud services.
About the role
Key Responsibilities
- Design, develop, and maintain end‑to‑end data pipelines to collect, clean, and transform operational data.
- Build and deploy machine‑learning models that forecast demand, optimize inventory, and improve customer experience.
- Create interactive visualizations and dashboards (Tableau, Power BI) to surface actionable insights for product and business teams.
- Collaborate with cross‑functional stakeholders to define analytics requirements and translate business problems into technical solutions.
- Monitor model performance in production, perform root‑cause analysis, and iterate improvements.
Requirements
- Strong proficiency in Python (pandas, scikit‑learn, TensorFlow/PyTorch) and SQL for data manipulation and analysis.
- Experience building and deploying ML models in a cloud environment (AWS SageMaker, Lambda, or similar).
- Hands‑on expertise with data‑visualization tools such as Tableau or Power BI.
- Solid understanding of statistical modeling, feature engineering, and model evaluation techniques.
- Ability to communicate complex analytical findings to non‑technical audiences.
Skills
pythonsqlmachine learningawstableau