Lead Data Scientist

Do you want to help design new ways of processing Enterprise scale data at speed, learn leading edge technologies, work on complex big-data algorithms, shape processes into a growing engineering organisation, all while helping to scale a Series D rocket ship to the next level?

Then welcome to Enable 🚀

What is Enable:

Enable is the SaaS rebate management platform that drives trusted relationships between B2B trading partners. We create money for our customers by providing them with the technology solutions to automatically detect and report on rebate due. Customers configure their deals, Enable ingests and process all their sales transactions, allowing them to find rebates they are owed that they would otherwise have missed.

All this has major challenges, we process enormous amounts of data in very short time frames, performing billions of calculations per customer and storing it all in Enterprise scale databases. We provide customers with reporting, deal editing and collaboration capabilities. There are no standard techniques for doing this, we are the market leader, and we create new solutions every day.

We launched our flagship product in 2016 and have raised $276m to date in Series A, B, C & D funding. We are continually growing our client base, product portfolio and hyper-talented team.

As the Lead Data Scientist, you will play a crucial role in shaping the development of cutting-edge machine learning and AI-driven products at a leading SaaS tech company. This applied AI role focuses on driving innovation by strategically developing and integrating novel AI solutions across both our products and business operations. With machine learning unlocking advanced insights and solutions, and the rapid evolution of large language models (LLMs) transforming how we approach industry challenges, we are looking for a forward-thinking Lead Data Scientist to join our newly established ML and Data Science team. You will collaborate closely with product and engineering teams to deliver innovative solutions that push the boundaries of AI in the optimization of rebate management. We foster a culture of collaboration and growth, where your contributions will shape the company’s future and allow you to grow alongside us.

• Explore vast, untapped data assets and provide strategic recommendations on AI initiatives to senior leadership.
• Conduct in-depth applied research and implement AI solutions across diverse products and services.
• Create, and maintain evaluation pipelines and tools for assessing AI models’ performance and accuracy.
• Collaborate with Engineering leadership to ensure seamless integration of AI capabilities into existing systems and offerings.
• Design and execute a comprehensive AI strategy that aligns with the company’s business objectives.
• Engage with key stakeholders to ensure AI initiatives meet company goals, and effectively communicate results to both technical and non-technical audiences.
• Ensure all AI applications adhere to ethical standards, industry best practices, and legal requirements.
• Partner with Product Management and Engineering teams to develop a roadmap for the delivery of AI and machine learning tools.
• Collaborate with Data Engineering to build a cutting-edge data platform that unlocks the full potential of the company's data.
• Serve as a thought leader in AI and data science, driving innovation and staying ahead of industry trends to enhance existing products.

• M.Sc. degree in computer science, engineering or a related field.
• Minimum 8 years of experience in data science and machine learning.
• Proven track record in building and releasing AI/ML commercial products and services.
• Proficiency in Python (scikit-learn, SciPy, NumPy, PyTorch, TensorFlow) and/or R programming language, along with SQL.
• Deep knowledge of traditional and modern AI/ML algorithms and data modelling strategies.
• Strong problem-solving, analytical, and project management skills.
• Excellent communication and cross-functional collaboration abilities.
• Demonstrable AI projects showcasing innovation and business impact.

• Ph.D. in computer science, engineering or a related field.
• Publications in machine learning and artificial intelligence conferences and journals.
• Experience fine-tuning, integrating and productionalizing LLMs.
• Knowledge of ML systems design.
• Familiarity with deploying models into productions using MLOps technologies (e.g. MLFlow, KubeFlow etc).
• Leadership experience in a team-oriented workplace.
• Experience in supply chain management, distribution systems, rebate management, or related industries.

Enable Global Inc provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, disability, genetic information, marital status, amnesty or status as a covered veteran in accordance with applicable federal, state and local laws. Enable complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Enable expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability or veteran status. Improper interference with the ability of Enable employees to perform their expected job duties is absolutely not tolerated.

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