
Data Innovation Specialist
3 days ago
Key Responsibilities:
- Develop and apply complex data models to drive business growth.
- Utilize statistical methods to inform model development and evaluation.
- Design, architect, and develop robust data solutions with a focus on integrating Large Language Models.
- Collaborate within Agile teams contributing to iterative development and continuous improvement.
- Document business processes workflows and requirements clearly and comprehensively.
- Engage in close collaboration with various domains to ensure alignment and understanding of business needs.
- Participate in conceptualization sessions to brainstorm and refine project ideas.
Mandatory Skills:
- Proficiency in Python Machine Learning API and SQL.
- Experience with data processing cleansing and verification for analysis.
- Conduct data quality checks and exploratory analyses to inform model development.
- Demonstrated programming skills in relevant languages particularly Python and API development.
- Build end-to-end machine learning models including data structures and transformation processes.
- Strong understanding of statistical modeling techniques such as Regression Clustering Decision Trees and Logistic Regression.
- Familiarity with machine learning algorithms such as KNN Random Forests Ensemble Methods and Bayesian/Markov Networks.
- Knowledge of data mining concepts and experience with data visualization tools and dashboards.
Preferred Skills:
- Experience with Large Language Models such as GPT BERT or similar architectures.
- Understanding of natural language processing techniques and their applications in business contexts.
- Familiarity with advanced research topics including deep learning kernel methods spectral methods and forecasting.
- Ability to integrate end-to-end ML solutions into product suites and business functions.
- Design technical frameworks based on use cases involving text data and language understanding.
- Identify opportunities to automate analytical processes data extraction and flow processes.
- Propose hypotheses and design experiments to address specific problems leveraging LLM capabilities.
Additional Responsibilities:
- Stay updated with the latest advancements in machine learning and natural language processing.
- Mentor junior team members on best practices in machine learning and LLM implementation.
- Contribute to the development of best practices and standards for machine learning and LLM projects.
Why Join Us:
We are committed to creating a diverse environment and are proud to be an equal opportunity employer.
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