Senior Data Scientist

Job Description

You’re an innovator; you share our common interest in improving and scaling our existing architecture and systems. Your excellent communication skills are key when collaborating closely with Product, internal customers, and other engineers and data scientists to determine the best way to build products that meet their needs. You’re hungry for growth and with our Data Science Ladder you can visualize your career path. We are quality driven and you must be too. We expect that you’ll get involved and stay informed with the latest trends in technology and experiment with how to apply those to help consumers make more educated and healthier decisions.

Even if you don’t check all the criteria boxes, we encourage you to apply. We’re looking for people with diverse backgrounds, exceptional potential and a passion for their craft.

What you’ll do

• Being on an embedded agile team made up of several engineers, data scientists and a product manager working together to design, build, implement and maintain complicated data science and deep learning based systems (image processing, data extraction, data recognition, data prediction, suggestions, data optimization)
• Working with engineering leadership to plan strategic technologies and solutions
• Work closely with operations and subject matter experts to optimize internal processes and/or build customer facing solutions
• Host solutions in cloud computing platforms (Amazon Web Services, Google Cloud Platform)
• Move rapidly towards strategic goals, our team pushes code over 50 times a day
• Push the department forward by introducing cutting edge technologies, teach other data scientist how to use them and building cutting edge solutions

• BS or MS degree in a quantitative discipline (e.g., statistics, operations research, bioinformatics, economics, computational biology, computer science, statistical engineering, mathematics, physics, electrical engineering, industrial engineering).
• 3-5 years of relevant work experience in data analysis or related fields. (e.g., as a statistician / data scientist / computational biologist / bioinformatician / machine learning engineer)
• Experience with statistical software (e.g., R, Python, Julia, MATLAB, pandas) and databases (e.g.MySQL, PostgeSQL, Graph Databases, NoSQL, DyanmoDB).
• Experience with deep learning techniques (CNN, RNN, LSTM, GAN, Gradient Descent, Auto-Encoders)
• Relevant work experience building, designing and maintaining complex machine learning solutions (e.g., Optical Character Recognition, Computer Vision, Natural Language Processing, Named Entity Recognition, Data Mining, Machine Intelligence)
• Knowledge of graph database technologies, such as Neo4J or some experience with data classification, taxonomy building, and/or metadata schemas
• Experience with cloud computing and containerization (Docker, Google Cloud Platform, Amazon Web Services, Microsoft Azure, Heroku)
• Demonstrated skills in selecting the right statistical tools given a data analysis problem.
• Demonstrated effective written and verbal communication skills.
• Demonstrated willingness to teach others and learn new techniques.

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