Lead Data Scientist, Enable
Software for rebate management
Open for applications
Software for rebate management
501-1000 employees
Open for applications
501-1000 employees
Company mission
To evolve the way B2B trading partners work together into true collaboration.
Role
Who you are
- 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
Desirable
- 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
What the job involves
- 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
Our take
Rebates – payments from seller to buyer after the buyer has purchased specified goods – are an essential part of operations in a range of industries, acting as both an incentive to drive sales as well as a way to foster loyalty between trading partners. However, the archaic systems and timely practices surrounding the management of these rebates has the potential to negate the intended benefits. Enable delivers a rebate management platform that drives trusted relationships between B2B trading partners, by simplifying processes and minimising disputes.
Enable was founded in 2016 in response to the supply chain problems caused by the lack of trust, lost agreements, and siloed data surrounding rebates. Its platform automates processes to increase efficiency, allows rebate claims to be made in a timelier manner, manages pricing calculations and, importantly, reduces disputes by keeping accurate audit trails. The company stands out by a focus not only on simplifying rebate processes, but going further to convert rebates into an “engine for growth”.
Enable has raised considerable funding and support, and served many customers, demonstrating the utility of its product. Investment is cited to go towards increasing headcount and accelerating its growth into new global markets.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
61% employee growth in 12 months
Company
Funding (last 2 of 6 rounds)
Nov 2023
$120m
SERIES D
Oct 2022
$94m
SERIES C
Total funding: $273.8m
Company benefits
- Hybrid working environment
- Work-life balance
- Free food and drink
- Generous vacation time
- Colleague bonus plan
- Cycle to work scheme
- Parental leave
- Wellness program
- Regular social events
- Equity plan
- Bring your pets to work
- Electric vehicle scheme
Company values
- We do whatever it takes: We give it our all, always.
- We stay curious: We are inquisitive, always learning and continually challenging ourselves and the status quo.
- We care about the details: We focus on details big and small to improve the quality of our work.
- We succeed together: By working collaboratively, we build a strong foundation for our success.
Company HQ
The East Cut, San Francisco, CA
Articles
Leadership
Andrew Butt
(CEO)Co-Founder and former Managing Director of the eCommerce division of DCS Group. Co-Founder and former Director of Enable Infomatrix.
David Hunt
(COO)Member of CEO Group at Vistage Worldwide. Former Operations Director of the eCommerce division of DCS Group.
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