Ellis Redding is seeking a skilled and motivated Data Scientist to join our innovative team. As a Data Scientist, you will play a critical role in analyzing and optimizing our AI models, driving insights from large datasets, and contributing to the continuous improvement of our AI modeling technology. Your expertise in data analysis, machine learning, and model optimization will be crucial in ensuring the accuracy, performance, and diversity of our AI-generated models.
- Conduct exploratory data analysis, preprocess data, and develop statistical models to extract meaningful insights from large-scale datasets.
- Develop and implement machine learning algorithms and models to enhance the accuracy, diversity, and adaptability of our AI-generated models.
- Collaborate with AI Model Developers and engineers to optimize model performance, identify areas for improvement, and fine-tune models using advanced techniques.
- Research and experiment with state-of-the-art methodologies in machine learning, deep learning, and computer vision to drive innovation in AI modeling.
- Utilize data visualization techniques to effectively communicate insights and findings to cross-functional teams and stakeholders.
- Collaborate closely with the development team to integrate data-driven solutions and algorithms into our AI modeling platform.
- Stay up-to-date with the latest advancements and trends in data science and AI modeling, sharing knowledge and insights with the team.
- Participate in the design and implementation of data collection and annotation processes to ensure high-quality and diverse training datasets.
- Collaborate with stakeholders to understand project requirements and provide data-driven recommendations and insights to inform decision-making.
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, or a related field.
- Strong proficiency in Python and experience with data analysis libraries such as Pandas, NumPy, and scikit-learn.
- Solid understanding of machine learning algorithms, statistical modeling, and deep learning frameworks.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Proficiency in SQL and working with relational databases.
- Knowledge of data visualization tools and techniques, such as Matplotlib or Tableau.
- Strong problem-solving skills and the ability to work with large and complex datasets.
- Excellent communication and collaboration skills to work effectively within a multidisciplinary team.
- Familiarity with fashion industry datasets or computer vision is a plus.
Join us at Ellis Redding and be part of a team that is revolutionizing the child modeling industry through cutting-edge technology and ethical practices. Your contributions as a Data Scientist will help shape the future of AI-generated models and drive the success of our innovative platform.
To apply, please submit your resume, portfolio (if applicable), and a brief statement outlining your relevant experience to email@example.com.