Senior Data Scientist I

Description

Senior Data Scientist

Remote - Colombia

ONLY CVs SUBMITTED IN ENGLISH WILL BE CONSIDERED

The Opportunity:

Anthology delivers education and technology solutions so that students can reach their full potential and learning institutions thrive. Our mission is to empower educators and institutions with meaningful innovation that’s simple and intelligent, inspiring student success and institutional growth.

The Power of Together is built on having a diverse and inclusive workforce. We are committed to making diversity, inclusion, and belonging a foundational part of our hiring practices and who we are as a company.

For more information about Anthology and our career opportunities, please visit www.anthology.com.

Anthology’s data science team, Logos, is an internationally distributed team that serves as a strike force to tackle the most innovative and challenging Data/AI/ML problems. The team also leverages the power of our Illuminate data platform to deliver on use cases built on data from multiple Anthology products. Our cross-product data provides holistic insight into all aspects of student and institutional lifecycle and unlocks great potential to shape the world of education. Are you a seasoned Data Scientist who wants to work on exciting projects that leverage AI/ML at scale? Are you excited about advancing the AI revolution in education? If so, please do not hesitate to apply for this role!

Primary responsibilities will include:

• 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

The Candidate:

Required skills/qualifications:

• 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 skills/qualifications:

• Experience with Amazon SageMaker and Amazon Bedrock
• Knowledge of Data Version Control and Continuous Machine Learning
• Experience with Azure
• Experience with Snowflake, Snowpark and Snowflake Cortex
• Significant engineering experience, especially in the area of data engineering
• Experience with research, research study design and scientific publishing

This job description is not designed to contain a comprehensive listing of activities, duties, or responsibilities that are required. Nothing in this job description restricts management's right to assign or reassign duties and responsibilities at any time.

Anthology is an equal employment opportunity/affirmative action employer and considers qualified applicants for employment without regard to race, gender, age, color, religion, national origin, marital status, disability, sexual orientation, gender identity/expression, protected military/veteran status, or any other legally protected factor.