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Data Scientist
1 month ago
At Attain, we're leveraging machine learning and data science to drive innovation. We're seeking a Data Scientist to join our team and contribute to the development of our Ad-Tech products. This role will involve developing and applying novel machine learning approaches to drive business growth.
About the Role
As a Data Scientist at Attain, you'll work closely with our cross-functional team to design and implement machine learning models that drive business outcomes. You'll be responsible for developing and deploying AI products that meet the needs of our customers, clients, and partners.
What You'll Do
- Contribute to the development of our Ad-Tech products, driving for speedy and outstanding execution
- Lead by example and define best practices for robust and efficient machine learning service development
- Collaborate with a cross-functional team to cost-effectively deliver AI services with quality, efficiency, and security
- Contribute to the data science roadmap and priorities
- Develop cutting-edge data science models and algorithms to drive strategic investment decisions
Preferred Qualifications
- 1+ years working as a Data Scientist, Machine Learning Engineer, or similar role
- Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field; advanced degree in a quantitative field (PhD preferred)
- Strong expertise in developing and deploying machine learning models (especially natural language models) in production
- Solid understanding of underlying mathematical foundation of machine learning models
- Proficiency in Python
- Experience with cloud computing services or platform (GCP preferred)
- Strong SQL skills
- Familiarity with version control and peer code review systems
- Demonstrated ability to learn and embrace new technologies, applications, and approaches
- Willingness to roll up your sleeves and wear multiple hats across the data science team, based on the needs of the business
- Strong written and verbal communication skills and the ability to explain technical topics to both technical and non-technical audiences
