Senior Data Scientist

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September 8

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Anthology Careers

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HR Tech • B2B • SaaS

Anthology Careers is a company specializing in onboarding services and HR solutions for businesses. They provide tools and support for processes such as ADP onboarding, Workbright I-9 employment verification, and time and attendance management. The company also offers specific services for Canadian hires, ensuring compliance with various employment laws and regulations. Their platform facilitates the seamless onboarding of new employees while offering assistance through FAQs and live support.

2 - 10 employees

👥 HR Tech

🤝 B2B

☁️ SaaS

📋 Description

• Prototyping of complex AI and ML based solutions for our products and custom AI/ML model development, training and evaluation • Participation in client-facing user research in order to gather feedback on prototypes • Interfacing with engineering teams from Anthology and helping them to take advantage of our own and external AI/ML models, as well as, advance analytics in their products • Exploration and statistical analysis of data to support internal company decisions and to demonstrate our thought leadership in the EdTech space • Working with our partners (AWS, Microsoft, Snowflake, and others) in order to grow and improve our AI/ML toolbox and knowledge • Occasional travel within to the U.S. or Europe may be required

🎯 Requirements

• 5-8 years of professional experience • Proficiency in common Python libraries for analysis of data and machine learning (Numpy, Scikit-learn, Torch, TensorFlow, etc.) • Deep understanding of wide variety of ML models and techniques • Ability to create robust high-quality Python code that adheres to best practices such as thorough unit testing • Proven track record of successfully designing, developing and deploying custom complex AI/ML solutions • Strong knowledge of SQL and experience with data lake technologies • Familiarity with Amazon Web Services • Strong experience working with Git • Experience with CI/CD technologies (GitHub actions, AWS CodePipeline, etc.) • Experience working with R • Excellent communication skills, with the ability to explain complex concepts to non-technical audiences and mentor junior team members • Fluency in written and spoken English at CEF B2 level or above • Preferred: Experience with Amazon SageMaker and Amazon Bedrock • Preferred: Knowledge of Data Version Control and Continuous Machine Learning • Preferred: Experience with Azure • Preferred: Experience with Snowflake, Snowpark and Snowflake Cortex • Preferred: Significant engineering experience, especially in the area of data engineering • Preferred: Experience with research, research study design and scientific publishing