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Required Senior Data Scientist - NLP
As a Senior NLP Research Scientist, you will leverage your expertise in natural language processing to develop and deploy innovative NLP-based products, contributing directly to our product strategy. You will work alongside a team of exceptional NLP researchers, data analysts, and prompt engineers, tackling complex business challenges using real-world data. If you have a passion for NLP, a knack for creative problem-solving, and thrive in a collaborative environment, this role offers the opportunity to make a significant impact.
As a Senior Data Scientist, you will:
Develop and deploy cutting-edge NLP-based products for us, optimizing models for real-world performance and scalability while ensuring they meet production standards and business needs.
Conduct hands-on research to integrate data and product insights, creating robust NLP algorithms with production-grade code that enhance business outcomes and drive strategic value.
Participate in brainstorming sessions for machine learning initiatives, collaborating closely with the Product and Engineering teams to influence and shape our product strategy.
Mentor team members and contribute to their professional growth through joint work, knowledge sharing, and staying up to date with the latest ML developments.

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As a senior DL researcher at Bigabid, you will be creating high-impact Machine Learning projects. In close coordination with stakeholders, you will play a major role in driving the data science roadmap and execution by providing the best solution to a game changer business problem.

Responsibilities

Deliver end-to-end ML products - including research, model development, prototyping, offline validation, implement in production, and online testing
Be a key player in the DS group - providing insights, best practices, novel techniques and research, and technical know-how to other data scientists
Develop ML solutions using advanced DL techniques to a diverse set of problems.
Analyze huge amounts of complex data to identify meaningful patterns and build useful features for machine learning models
Apply the scientific method to design, create, tune, and interpret machine learning models
Perform data manipulation, validation, and cross-domain research
Come up with new and creative research ideas and insights
Collaborate with our product and engineering teams to solve problems and identify trends and opportunities.