
Chief Data Strategist
6 days ago
Job Overview:
We are seeking a seasoned Data Analyst to spearhead our predictive modeling and data pipeline initiatives.
Main Responsibilities:
- Develop and implement advanced machine learning models for various business applications, including prediction, classification, clustering, and personalization.
- Analyze and manipulate large datasets using Python and SQL to inform model development and optimization.
- Explore Generative AI techniques (e.g., LLMs, text generation, summarization) to address emerging business needs.
- Create scalable data pipelines and automate data workflows.
- Collaborate with cross-functional teams to define project objectives and deliver actionable insights.
- Present complex analytical results and technical concepts to both technical and non-technical stakeholders.
- Stay current with advancements in machine learning and Generative AI technologies and frameworks.
Necessary Skills:
- Demonstrated expertise in Python programming with experience in libraries like Pandas, NumPy, scikit-learn, TensorFlow, or PyTorch.
- Proficiency in SQL for data extraction, joins, and optimization.
- Thorough understanding of machine learning algorithms and data science best practices.
- Experience handling structured and unstructured data.
- Familiarity with Generative AI tools and frameworks (e.g., OpenAI APIs, Hugging Face, LangChain).
- Aquaintance with data visualization tools and cloud platforms (AWS, GCP, Azure) is a plus.
Key Performance Indicators:
- Successful implementation of predictive models and data pipelines.
- Improved data quality and accuracy.
- Enhanced collaboration with cross-functional teams.
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