Tech Stack
RMachine LearningScalaNLPPythonC++
Job Description, Responsibilities & Requirements
About the Position
We are seeking a Data Scientist with a Ph.D. or Master's Degree in Computer Science for a remote position in Florianopolis, Brazil.
Responsibilities
- Apply Applied Statistics and Data Mining to identify hidden patterns in data.
- Evaluate current data flow or develop a new one.
- Translate complex concepts into clear, concise, and meaningful ways for a non-technical audience.
- Utilize Machine Learning, Deep Learning, and other advanced techniques to solve complex problems.
- Specialize in areas such as NLP, Time Series Analysis, CV, and Recommender Systems.
- Understand Machine Learning operationalization processes.
- Work on complex projects using independent judgment within defined procedures and practices.
- Implement and support predictive models.
- Apply Data Mining techniques.
- Provide analytical support in the pipeline of Machine Learning models operationalization process.
- Communicate with world-leading companies.
Requirements
- Ph.D. or Master's Degree in Computer Science or related field.
- Strong knowledge of SoTA in Machine Learning, Deep Learning, and their application.
- Expertise in more than one Data Science specializations.
- Understanding of Machine Learning operationalization processes.
- Background working on complex projects where independent judgment is used.
- The concept of Software Development Life Cycles of AI projects.
- Upper-Intermediate English level or higher.
- Knowledge of Big Data solutions and advanced data tools in Cloud Platforms.
- Hands-on experience in building and operationalizing machine learning models.
- Advanced proficiency in programming software such as Python, R, C++, Scala, and others.
- Strong interpersonal, analytical, and problem-solving skills.
We Offer
- Competitive salary of 1,000 USD per month.
- Remote work options.
- Opportunity to work with leading companies.
About the Company
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Contact
- Location: Florianopolis, Brazil
- Salary: 1,000 USD per month
- Contact Seller: Contact Seller
- Send Message: Send Message
- Phone: +5xxxx xxxxx-xxxx
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