Data Scientist

A startup company in the Data field has developed an AI platform capable of gathering information about individual product purchases from millions of diverse records across the web, including marketing websites and marketplaces. The system consolidates this information and correlates it with sales data, providing insights into why people are purchasing specific products, trends, and more.

The company targets large manufacturers and retailers in the US and Europe, offering them business insights derived from product-related data gathered online.

The company boasts a strong financial backbone, recent completion of a successful Series A funding round, securing $25 million in investments, and a clear forward trajectory. With substantial financial backing, they have already attracted international clients.

Responsibilities:

• Design, implement and deliver robust and scaleable ML products from research to production.

• Exhibit adaptability in a spectrum of data science challenges and domains, with a notable focus on NLP.

• Collaborate and work closely with product managers from ideation to quick POCs to build the most impactful products for our customers.

• Foster a collaborative environment by actively sharing insights, peer reviews, best practices, and knowledge across team members to collectively elevate our data science capabilities and product quality.

• Identify opportunities to enhance existing methodologies, tools, and processes to improve efficiency and accuracy.

Requirements-

• 6 years of practicing data science

• 3 years leading end-to-end data science projects into production, adoption & monitoring

• Advantage: experience in NLP

• Advantage: experience with cloud machine learning platforms

• Advantage: experience with MLOps tools

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