
Data Scientist
2 days ago
At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.
**Requirements**:
**Role Overview**
**Key Responsibilities**
- Collaborate with business stakeholders to gather and analyze requirements, ensuring alignment with project objectives.
- Architect and implement ML models for supply chain and inventory management use cases.
- Work with Python, Databricks, and Snowflake for data preparation, modeling, and pipeline development.
- Leverage AWS services to build, deploy, and scale ML solutions in production environments.
- Drive discussions, present solutions, and take full ownership of the end-to-end ML delivery process.
- Continuously monitor, evaluate, and optimize model performance.
**Required Technical Skills**
- **Programming & Data Platforms**: Python, Databricks, Snowflake
- **Cloud Services**: AWS (ML and deployment-relevant services)
- **Machine Learning Expertise**: Time series forecasting, regression, LSTM, neural networks, classification models
**Functional Expertise**
- Strong understanding of **Supply Chain Management**, with a focus on **inventory management** processes and challenges.
**Professional Skills**
- Proven ability to gather business requirements and translate them into technical solutions.
- Strong problem-solving mindset with a proactive and ownership-driven approach.
- Excellent communication skills (verbal and written) for engaging with technical and non-technical stakeholders.
**Qualifications**
- Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
- 5+ years of relevant experience in ML engineering, data science, or AI solution delivery.
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