As a Data Scientist I, you will support the Data Science team by contributing to data preparation, modeling, analysis, and visualization efforts. Support will consist of data collection, manipulation, and model development to learn the team's best practices. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. This entry-level role is ideal for individuals eager to grow their analytical skills and make an impact through data-driven insights.
Responsibilities
Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
Analyzing large datasets to identify patterns and trends that can inform AI development.
Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
Evaluating and creating new frameworks and defining methodologies and governance.
Remaining informed about emerging technology trends.
Participating in the evaluation and testing of new data science tools and technologies.
Applying techniques such as statistical analysis, predictive modeling, and pattern recognition.
Requirements
Be on track to receive a bachelor’s or master’s degree in data science, mathematics, statistics, computer science, computer engineering, or a related field of study.
Have experience working directly with large language models and transformer-based architectures, including BERT, RoBERTa, T5, etc.
Proven knowledge of applying LLMs, including ChatGPT, GPT 3.5, Claude, Mistral, etc.
Be a natural problem solver, able to collaborate with cross-functional teams.
Display proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests.
Demonstrate a passion for technology and a desire to learn and progress quickly.
Be able to engage with leading-edge technologies while working alongside accomplished peers.
Possess excellent written and verbal communication skills.
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