Remote Data Scientist - Linguistics and Data Modeling

Description:

• The Data Scientist will be responsible for analyzing large corpuses of content to extract insights and patterns.
• They will design metadata structures, schemas, taxonomies, ontologies, and semiotic models.
• Developing predictive models and algorithms to solve business problems is a key responsibility.
• Collaborating with other teams to design experiments and test hypotheses.
• Implementing data processing pipelines to clean, transform, and enrich data.
• Working with software engineers and product managers to develop data-driven products and services.
• Communicating findings and recommendations to stakeholders and clients clearly and concisely.
• Staying updated with the latest developments in data science and machine learning techniques.

Requirements:

• A Master's or PhD degree in Computer Science, Statistics, Linguistics, or a related field is required.
• Strong background in linguistic modeling, taxonomies, and ontologies is a must.
• At least 3 years of experience in data analysis, statistical modeling, and machine learning.
• Proficiency in programming languages like Python, R, and SQL.
• Experience working with natural language data such as text corpora and speech data.
• Familiarity with machine learning frameworks like TensorFlow, PyTorch, or Scikit-learn.
• Client-facing experience, including working with and presenting to Executive Leadership.
• Strong analytical and problem-solving skills are essential.
• Excellent communication and collaboration skills are required.
• Ability to work independently and in a team environment.
• Experience with cloud computing platforms such as AWS, Azure, or Google Cloud is a plus.

Benefits:

• Competitive salary range of $108-148k.
• Compensation based on level of experience.
• Opportunity to work with Fortune 500 companies globally.
• Access to cutting-edge technology and tools.
• Collaborative and supportive work environment.
• Continuous learning and growth opportunities.
• Equal employment opportunity employer with a commitment to diversity and inclusion.