Data Science Innovation Lead
1 week ago
Drive innovation in data science and machine learning at Enable International, a leading SaaS rebate management platform. As the Data Science Innovation Lead, you will play a crucial role in shaping the development of cutting-edge AI-driven products.
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. There are no standard techniques for doing this; as such, we require an expert in traditional and modern AI/ML algorithms and data modelling strategies.
Job Overview- Lead the development of AI and machine learning tools to drive business growth and optimize rebate management.
- Collaborate with Product Management and Engineering teams to develop a roadmap for the delivery of AI and machine learning tools.
- Partner with Data Engineering to build a cutting-edge data platform that unlocks the full potential of the company's data.
You will be responsible for:
- Exploring vast, untapped data assets and providing strategic recommendations on AI initiatives to senior leadership.
- Creating and maintaining evaluation pipelines and tools for assessing AI models' performance and accuracy.
- Engaging with key stakeholders to ensure AI initiatives meet company goals, and effectively communicating results to both technical and non-technical audiences.
- Ensuring all AI applications adhere to ethical standards, industry best practices, and legal requirements.
The ideal candidate will have:
- A minimum of 8 years of experience in data science and machine learning.
- A 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.
We offer a competitive salary of $180,000 - $220,000 per year, depending on experience. Additionally, we provide a comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
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