Senior Data Scientist
Toronto, ON
Enable
Enable turns rebates into a growth engine. Our collaborative B2B rebate management software makes it easy to manage and scale rebate programs. Try it free.
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.
We're seeking an experienced Senior Data scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. This pivotal applied AI product role will work to strategically integrate AI solutions across products and business operations. ML has allowed for vastly improved data insights and solutions, while the use of LLM’s have radicalised the need for leveragingAI tools in solving some fundamental problems of our industry. We are looking for a senior scientist to work with our product and engineering teams to bring these to life.
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.
#LI-Hybrid
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.
We're seeking an experienced Senior Data scientist to drive the creation of AI and ML products and tools within a prominent SAAS tech company. This pivotal applied AI product role will work to strategically integrate AI solutions across products and business operations. ML has allowed for vastly improved data insights and solutions, while the use of LLM’s have radicalised the need for leveragingAI tools in solving some fundamental problems of our industry. We are looking for a senior scientist to work with our product and engineering teams to bring these to life.
Role and Responsibilities:
- Craft and execute a robust AI strategy aligned with business goals.
- Implement AI innovations across various products and services.
- Collaborate with Engineering leadership to integrate AI seamlessly into existing offerings.
- Liaise with stakeholders to align AI initiatives with company objectives and communicate outcomes effectively.
- Ensure ethical AI applications in compliance with legal and industry standards.
- Advise on AI implementation strategies to senior leadership.
- Work with Product Management and Engineering leadership to produce a rolling roadmap for the production of AI and ML tools and products
- Work with data engineering to create a world class data platform build to unlock the power of AI
Experience and Qualifications:
- Advanced degree in computer science, engineering, or related field.
- Minimum 8 years of AI/ML experience
- Proven track record in building and releasing AI/ML commercial products and services
- Proficiency in Python, R, and Java, along with AI/ML algorithms and data modelling.
- Strong problem-solving, analytical, and project management skills.
- Excellent communication and cross-functional collaboration abilities.
- Demonstrable AI projects showcasing innovation and business impact.
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.
#LI-Hybrid
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AI strategy Computer Science Engineering Java LLMs Machine Learning Python R
Region:
North America
Country:
Canada
Job stats:
4
1
0
Category:
Data Science Jobs
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Data Science Intern jobs
- Open Lead Data Analyst jobs
- Open Data Engineer II jobs
- Open Power BI Developer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Science Manager jobs
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open Data Scientist II jobs
- Open Business Intelligence Developer jobs
- Open Business Data Analyst jobs
- Open Product Data Analyst jobs
- Open Data Analytics Engineer jobs
- Open Data Analyst Intern jobs
- Open Sr Data Engineer jobs
- Open Principal Data Scientist jobs
- Open Sr. Data Scientist jobs
- Open Senior Data Architect jobs
- Open Data Engineering Manager jobs
- Open Junior Data Engineer jobs
- Open Big Data Engineer jobs
- Open Data Quality Analyst jobs
- Open Research Scientist jobs
- Open Azure Data Engineer jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open Data quality-related jobs
- Open ML models-related jobs
- Open Business Intelligence-related jobs
- Open Data management-related jobs
- Open Privacy-related jobs
- Open PhD-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open Finance-related jobs
- Open NLP-related jobs
- Open PyTorch-related jobs
- Open TensorFlow-related jobs
- Open LLMs-related jobs
- Open APIs-related jobs
- Open Generative AI-related jobs
- Open CI/CD-related jobs
- Open Snowflake-related jobs
- Open Consulting-related jobs
- Open Hadoop-related jobs
- Open Kubernetes-related jobs
- Open Data governance-related jobs
- Open Databricks-related jobs
- Open Airflow-related jobs