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2 months ago
Requirements and responsibilities
Role Description1. Help envision, design, prototype, build and test the data models for use in our client's product and process2. Work to find ways to collect, automate, structure and deliver our data across all aspects of in our client's, including, but not limited to the Market Landscapes, Documents Database and the City/Company/Product page suite.3. Work with the product and customer success teams to find efficiencies in collecting,organizing and structuring our existing data set.4. Work to align mapping of new data sets to our existing company, product, andgovernment data hierarchies.5. Work with customer success team to identify new sources and acquisition methods fordata based on customer needs6. Use scraping AI, ML, LLMs and other emerging technologies to create proof of concepts,refine them and then work to incorporate them into the product7. Operationalizing disparate PO Data sources: Python ETL automation usingPandas/regex/SQL to consolidate multi-year PO data, apply deduplication, cross-reference column reseller mappings, and replace complex Excel workflows with scalablepipelines.8. Entity extraction & content ML scoring: Implementing NER, fuzzy matching, andsupervised models trained on labeled data POs to classify match confidence andcontinuously improve accuracy.9. Work with product and engineering teams to find the best and more efficient ways to addthe automation and data to our product10. Use and build technical skills to help manage data throughout its lifecycle working withthe engineering team to implement them into the product.Desired Skills● Proficiency in data mining, wrangling, and cleaning of large-scale datasets● Advanced Excel combined with Python (Pandas/NumPy) a plus● Experience maintaining and deploying ML models (Transformers, Pattern Recognition)and handling model persistence (.pkl)● Knowledge or abilities with APIs (OpenAI, Gemini, Hubspot, Slack),● Experience or interest in using AI, LLM and other emerging technologiesAdditional Job DetailsThis position is fully remote and open to candidates in Mexico and Latin America.
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