Company: ShopperAI

Location: [Tel Aviv]

About the Company: ShopperAI is a fast-growing retail tech start-up that specializes in

providing decision-making analytics for the physical retail world. Our innovative solutions

empower retailers with valuable insights into customer behavior, enabling them to optimize

their operations and drive revenue growth. We are committed to leveraging cutting-edge

technologies, such as machine learning, computer vision, and cloud-native services, to

deliver state-of-the-art solutions that transform the retail industry.

We are seeking an experienced and passionate Senior Data Scientist to join our growing team at ShopperAI. As a Senior Data Scientist, you will be a key contributor to the development of our next-generation solutions, applying your expertise in classifications, decisions, and recommendations problems to enhance our decision-making analytics platform. You will work closely with cross-functional teams, including software developers, other data scientists, and product managers, to design, implement, and optimize algorithms that drive from meaningful dynamic insights of our complex retail datasets into actionable recommendations.

Responsibilities:

• Conduct cutting-edge research and development in classifications, decision systems, and inverse classification to solve complex retail analytics and decision-making problems.

• Collaborate with data scientists and AI/ML engineers to ensure proper data collection, preprocessing, and feature engineering to support data science initiatives.

• Analyze experimental results, conduct performance evaluations, and iterate on models and algorithms to drive continuous improvement.

• Contribute to the development of technical documentation and research papers to showcase our advancements and intellectual property.

Requirements:

• MSc or Ph.D. in Computer Science, Statistics, Electrical Engineering, or a related field, with a focus on data science, machine learning or a similar field.

• Experienced data scientist with a strong understanding of classifications, decision systems, and inverse classification.

• Expertise in machine learning frameworks such as TensorFlow, PyTorch.

• Strong programming skills in Python and proficiency in relevant libraries and tools for data science research and development.

• Experience in implementing complex data science models and algorithms.

• Solid understanding of the theory and principles of machine learning, including supervised and unsupervised learning, classification problems, and decision systems.

• Familiarity with cloud-native solutions and services, such as AWS, Azure or Google Cloud.

• Demonstrated ability to work in a fast-paced, startup environment, with a proactive and problem-solving mindset.

• Excellent communication and collaboration skills, with the ability to effectively present and discuss complex ideas and research findings with both technical and non-technical team members.

• Advantage: publication record, leading conferences and journals related to machine learning and data science.

If you are passionate about revolutionizing the retail industry through the application of advanced data science techniques and want to join a dynamic and fast-growing start-up, we would love to hear from you.