Data Scientist

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

We believe AI will be embedded in today's businesses and help people start tomorrow's businesses. Our SaaS product allows entrepreneurs, marketers, and copywriters to use the latest natural language processing (NLP) models to improve their communication and accomplish business goals.

Over 1 million users have signed up to use our application and we're eager to deliver more value for them. Investors in our recent $11 million Series A round include Zach DeWitt at Wing Ventures, David Sacks at Craft Ventures, Li Jin at Atelier Ventures, Alfred Lin at Sequoia, and 80+ other investors. In March 2022, Forbes identified Copy.ai as one of the language processing AI startups part of a billion-dollar wave.

We’re a scrappy startup so this role is what you make of it, but we’ll help you every step of the way. You’ll be able to look back and see your impact as we grow and evolve. There’s a lot to take on, but we trust that you’re up to the challenge.

Copy.ai is a remote company. All employees must be able to work 9am-5pm in any timezone Pacific to Eastern. At this time, we are only hiring full-time roles in the USA and Canada.

Copy.ai continues to scale, and we are ready to bring on our 1st Data Scientist to join our newly formed Machine Learning Team. Reporting directly to our Head of Machine Learning, our Data Scientist will be a passionate and data-driven expert who will partner closely with internal stakeholders to work with state of the art models and solve open-ended problems and business challenges in the Natural Language Processing (NLP) space. Aside from training models and applying advanced statistical methods to innovate our product, we are looking for someone who isn’t afraid to take risks and experiment. If this sounds like you, we’d love to hear from you!

What you'll do:

• Partner closely with the Data and Engineering teams to do initial research, develop functional prototypes, and carry it through to production
• Brainstorm creative ideas to conduct fast and reliable online experiments to test our hypotheses.
• Apply advanced statistical methods to innovative our product and continuously solve problems
• Translate real-world problems into well-posed data science questions with product-oriented goals
• Identify and train models and algorithms to discover innovative approaches to solve product challenges and improve operational efficiency
• Build, implement, and test your concepts in Jupyter notebooks, and Python, using large-scale data sets.
• Evangelize a data-driven culture

About you; You are:

• 2+ years of experience in delivering machine learning models to production
• Proficient with standard SQL and relational databases, and Python and its relevant packages
• Understanding of statistics and machine learning; understanding of complexity vs. performance tradeoff in these systems
• An effective communicator meaning you can break down very technical concepts and data to various audiences both technical and non-technical.
• Passionate about data, experimentation, and PLG-startups
• Experience working with engineers and product managers to launch successful software products
• Preferably you have a Masters or Ph.D. or advanced degree in a related field