Data Scientist
3 weeks ago
Built for consumers and companies, alike. In a world driven by data, we believe consumers and businesses can coexist. Our founders had a vision to empower consumers to leverage their greatest asset—their data—in exchange for modern financial services. Built with this vision in mind, our platform allows consumers to access savings tools, earned wages and rewards without cost or hidden fees. In exchange, they give permission to use their real-time data for research, insights and targeted advertising.
At Attain, your contribution will help us build a more equitable and efficient data sharing ecosystem—whether helping consumers access modern financial services or businesses leverage data to achieve better outcomes. You'll have the opportunity to work directly with hands-on leaders and mission-driven individuals everyday.
Attain is leveraging machine learning (ML) and data science-based products to take our business to the next level. To meet the growing needs of our business, we are searching for a Data Scientist to develop and apply novel machine learning approaches for new Ad-Tech products. This person will lead and experience first-hand how we transform machine learning models and algorithms into AI products for our customers, clients and partners.
Lead by example and define best practices for robust and efficient machine learning service development that includes data processing, feature engineering, model development, model deployment, and in-production support, etc.
Collaborate with a cross functional team of data scientists, engineers, product managers and business stakeholders 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
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
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