As a Sr Data Scientist- Generative AI at malldrops, you will be an integral part of our innovative team, responsible for developing and implementing cutting-edge generative AI solutions to drive business growth and improvement. You will work in a dynamic and collaborative environment, closely interacting with cross-functional teams to identify opportunities, design experiments, and build predictive models that solve complex problems. With access to a vast array of data and state-of-the-art tools, you will have the opportunity to continuously learn and expand your skill set, staying at the forefront of advancements in AI and data science. Your work will have a direct impact on our company's strategic decisions, enabling us to stay ahead of the curve in an ever-evolving market landscape. You will be expected to contribute to the development of our AI strategy, mentor junior team members, and maintain a strong focus on delivering high-quality results that meet our business objectives.

Requirements:

• Advanced degree in Computer Science, Mathematics, Statistics, or a related field, with a strong foundation in machine learning, deep learning, and programming skills in languages such as Python, R, or Julia.
• Proficiency in working with large datasets, data visualization tools, and cloud-based platforms, including experience with TensorFlow, PyTorch, or Keras.
• Excellent problem-solving skills, with the ability to break down complex problems into manageable components and develop creative solutions.
• Strong understanding of statistical modeling, data mining, and data analysis, with experience in working with generative models such as GANs, VAEs, or normalizing flows.
• Effective communication and collaboration skills, with the ability to work closely with stakeholders to understand business needs and communicate technical results to non-technical audiences.

Roles and Responsibilities:

• Design, develop, and deploy generative AI models to solve complex business problems, such as generating new product ideas, predicting customer behavior, or optimizing business processes.
• Collaborate with cross-functional teams to identify opportunities for AI-driven innovation, develop business cases, and prioritize project pipelines.
• Develop and maintain large-scale datasets, data pipelines, and architectures to support generative AI model development and deployment.
• Conduct experiments, analyze results, and refine models to improve performance, accuracy, and reliability, using techniques such as hyperparameter tuning, model selection, and ensemble methods.
• Communicate technical results and insights to stakeholders, including business leaders, product managers, and engineering teams, using effective visualization and presentation techniques.
• Mentor and guide junior data scientists and engineers, providing technical guidance, feedback, and support to help them grow in their roles and develop their skills.

Budget:

• Maximum budget: $250,000 per year
• Job type: Payroll
• Experience range:4 to15 years