Data Scientist

Akvelon Inc.

Position : Data Scientist

About us :

Akvelon Inc (USA) works in the field of software engineering based on a variety of technologies. Our company is a member of the vendor program, which gives employees the opportunity to work with clients in the United States and other countries ( Microsoft, Facebook, Airbnb, Dropbox, Pinterest, and many others). This is a great opportunity to transfer experience and experience with leading engineers of world-renowned companies.

About project :

A seasoned team of machine learning and pattern recognition specialists, dedicated to providing customized solutions that address your unique business needs. Team offers the personal touch that larger organizations can't, ensuring you receive a service tailored to your specific requirements.

Required Experience :

• Doctorate or Master's degree in Computer Science, Data Science, Machine Learning, or a related field.
• 5 Years of Experience
• Proven experience in building unsupervised machine learning models and deploying them using Azure Machine Learning services.
• Proficiency in programming languages such as Python or R for data analysis, model development, and deployment.
• Strong understanding of unsupervised learning techniques including clustering, anomaly detection, and dimensionality reduction.
• Experience working with large and complex datasets, data preprocessing, and feature engineering.
• Familiarity with Azure cloud services and tools, particularly AzureML.
• Proficiency in data visualization using Power BI or similar tools.
• Excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders.
• Strong problem-solving skills and the ability to work independently or as part of a team.
• Experience with version control systems (e.g., Git) and collaborative coding environments.
• A proactive attitude toward learning and keeping up with the latest trends in machine learning and data visualization.
We offer :
• 401(k)
• 401(k) matching
• Dental insurance
• Health insurance
• Vision insurance