Mid-level Data Scientist - Remote

Overview

We are seeking a passionate and skilled Data Scientist to enhance our team's capabilities in designing and implementing LLM based solutions. This role involves active participation in solution design, model implementation and testing as well as making sure to keep up to date with the latest cutting edge GenAI technologies. Collaborate with a diverse team to design and implement AI models that address complex business challenges.

In Short

• Contribute to a range of projects including time series forecasting for retail, optimization planning, recommending engine, financial fraud detection
• Engage in rigorous testing and validation of AI models to ensure efficiency and accuracy.
• Potentially participate in research initiatives and contribute to the publication of scientific papers
• Utilize a variety of cloud platforms (AWS, Azure, Google Cloud) for the development and deployment of solutions.
• Ensure continuous improvement and upkeep of models by leveraging the latest in AI research and methodologies.

Requirements

• Proven experience in Python and familiarity with libraries such as PyTorch, scikit-learn, Pandas, and TensorFlow.
• Proven experience in dealing with structured and unstructured data such as time series, transactions data or user interactions data.
• Experience with Ubuntu and other Linux distributions.
• Strong understanding of AI and data science, both theory and practice.
• Excellent problem-solving skills and the ability to work collaboratively in a team.
• Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Strong background in developing solutions on cloud platforms like AWS, Azure, and Google Cloud is a plus.
• Previous experience using Big Data tools such as Spark or Hadoop is a big plus.

Benefits

• The opportunity to work with a dynamic team that is at the forefront of AI technology.
• Hybrid work environment, 3 days in office, 2 days remote.
• A culture that is collaborative, innovative, and supportive.
• Competitive salary and benefits package.
• Professional development opportunities and career advancement.