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.
Job Summary
We are hiring a Principal Data Scientist with deep expertise in machine learning and AI and experience in developing production quality solutions which deliver a huge business impact. The ideal candidate should also have deep industry experience inn either Financial, Logistics, Supply Chain or ERP sectors. As part of our team, you will be working side-by-side with high-impact engineers and strategic customers to solve complex problems. You will communicate trends and innovative solutions to stakeholders. You will work cross-functionally with several teams including engineering, Integrations, and product management to deploy business solutions.
Enable prides itself on embracing a growth mindset, inspiring excellence, and encouraging everyone to share their unique viewpoints and be their authentic selves. Join us and help create life-changing innovations that impact billions around the world!
What we are asking you to do!
Business Understanding and Impact
· Leads data-science projects or teams to align with business needs and deliver value.
· Brings new value to the business by leveraging your industry experience in terms of where resources and business needs should be allocated.
· Leverages extensive experience to drive best practices for discovering, implementing, and maintaining transformative data-science solutions for customers.
Data Preparation and Understanding
· Leads data acquisition and understanding efforts for engineering projects using various tools and techniques.
Modelling and Statistical Analysis
· Develops and applies ML frameworks and best practices for scalable and ethical solutions.
· Has deep mathematical understanding of statistics and machine learning
· Incorporates best practices for ML modelling with consideration for artificial intelligence (AI) ethics.
· Updated knowledge and LLM capabilities in developing own RAG and LLM extensions
Evaluation
· Review, supports and provides best practices for data analysis and modeling techniques.
· Ensures selected modeming techniques are appropriate and align with desired project outcomes.
· Decide on the next steps (e.g., deployment, further iterations, new projects).
Industry and Research Knowledge/Opportunity Identification
· Serves as industry thought leader in data science in Rebate Management
· Provides feedback, drives improvement, and shares knowledge as a data science and industry expert.
· Apply deep expertise to drive novel customer experiences, including early access engineering programs.
· Applies expertise to mitigate technical customer escalations.
Coding and Debugging
· Writes and debugs code for complex projects and leads solution development.
Business Management
· Leads ML and data-science partnerships and IP improvement.
· Partners with diverse Enable teams to identify and explore opportunities for the novel application of machine learning (ML) and other data-science tools to above industry.
Customer/Partner Orientation
· Provides customer-oriented insights and solutions by understanding the business, product, data, and customer perspective.
· Develops new techniques/methodologies for building solutions for a specific business need based on available data.
What we are asking you to bring!
Doctorate in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 5+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Master's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 7+ years data-science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR Bachelor's Degree in Data Science, Mathematics, Statistics, Econometrics, Economics, Operations Research, Computer Science, or related field AND 10+ years data science experience (e.g., managing structured and unstructured data, applying statistical techniques and reporting results)
OR equivalent experience.
5+ years customer-facing, product-delivery experience, professional services, and/or consulting experience.
Experience working as part of geographically dispersed, diverse, and virtual teams.
Enjoy travel and are comfortable with travel up to 25%.
Demonstrated ability to work with customers and collaborate across company boundaries.
\nEnable 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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