A global digital transformation agency focused on making millions of people a little happier every day.
Omni-Channel Experience • Customer Journey • CMS • Management Consulting • Digital Marketing
June 14
🏡 Remote – New York
A global digital transformation agency focused on making millions of people a little happier every day.
Omni-Channel Experience • Customer Journey • CMS • Management Consulting • Digital Marketing
• Analyze large corpuses of content to extract insights and identify patterns • Design metadata structures, schemas, taxonomies, ontologies and semiotic models • Develop predictive models and algorithms to solve business problems • Work with other teams to design experiments and test hypotheses • Develop and implement data processing pipelines to clean, transform, and enrich data • Collaborate with software engineers and product managers to develop data-driven products and services • Communicate findings and recommendations to stakeholders and clients in a clear and concise manner • Stay up to date with the latest developments in data science and machine learning techniques
• Master's or PhD degree in Computer Science, Statistics, Linguistics, or related field • Must have a strong and proven background in linguistic modeling, taxonomies, ontologies • At least 3 years of experience in data analysis, statistical modeling, and machine learning • Proficiency in programming languages such as Python, R, and SQL • Experience working with natural language data, such as text corpora and speech data • Familiarity with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn • Client facing experience including working with and presenting to Executive Leadership • Strong analytical and problem-solving skills • Excellent communication and collaboration skills • Ability to work independently and in a team environment • Experience with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus
• 11 paid holidays • Generous Accrued Time Off increasing with years of service • Generous paid sick time • Annual day of service
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