Data Scientist

Data Scientist

Company Description

About Sutherland

Artificial Intelligence. Automation.Cloud engineering. Advanced analytics.For business leaders, these are key factors of success. For us, they’re our core expertise.

We work with iconic brands worldwide. We bring them a unique value proposition through market-leading technology and business process excellence.

We’ve created over 200 unique inventions under several patents across AI and other critical technologies. Leveraging our advanced products and platforms, we drive digital transformation, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as a service” model.

For each company, we provide new keys for their businesses, the people they work with, and the customers they serve. We tailor proven and rapid formulas, to fit their unique DNA.We bring together human expertise and artificial intelligence to develop digital chemistry. This unlocks new possibilities, transformative outcomes and enduring relationships.
Sutherland

Unlocking digital performance. Delivering measurable results.

Job Description

• We are looking for a Data Scientist with 2 years of hands-on experience in developing, training, and deploying machine learning models using Microsoft Azure ML.
• The candidate should have strong proficiency in Python, along with experience in data preprocessing, feature engineering, and model optimization. Solid knowledge of databases (SQL/NoSQL) and working with large datasets is required.
• Experience with statistical analysis, data visualization, and a wide range of ML algorithms including regression, classification, clustering, NLP, and time-series models is preferred.
• The role demands strong analytical thinking, effective communication, and the ability to deliver scalable, data-driven solutions in a collaborative environment.

Qualifications

• Bachelor's/Master’s/Ph.D. degree in Computer Science, Engineering, Mathematics, or a related field.
• Strong theoretical understanding of machine learning algorithms, deep learning frameworks, and statistical modeling techniques.
• Proficiency in programming languages such as Python, along with experience in popular ML libraries such as TensorFlow, PyTorch, or scikit-learn.
• Hands-on experience in developing and deploying machine learning models for NLP and computer vision tasks, with a demonstrable portfolio of projects.
• Solid understanding of natural language processing techniques, including text classification, sentiment analysis, named entity recognition, etc.
• Familiarity with computer vision concepts such as image classification, object detection, image segmentation, etc., and experience with frameworks like OpenCV or TensorFlow.
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes) is a plus.
• Excellent problem-solving skills, attention to detail, and ability to work independently as well as part of a team.
• Strong communication and interpersonal skills, with the ability to effectively collaborate with stakeholders across different functional areas.
• Join us in revolutionizing the way [Company Name] harnesses the power of machine learning and artificial intelligence to drive innovation and create impactful solutions.

If you are passionate about pushing the boundaries of what's possible with AI and want to make a meaningful contribution, we'd love to hear from you !!

Additional Information

All your information will be kept confidential according to EEO guidelines.

Experience Level

Mid Level