Data Scientist (Boston, New York, or Louisville)

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

Dianthus is a trailblazer in e-commerce. We acquire Shopify businesses and grow them with our custom AI powered solutions. We are a fast-growing startup, so you have the opportunity to surround yourself with a passionate team and get in on the ground floor. There is also a tremendous opportunity for career growth, not just because we are moving so rapidly but because no matter what role you are in, at Dianthus you will be solving interesting problems about how to make every workflow more AI-focused!

We are looking to hire a Data Scientist to join our team. You will help transform all our eCommerce data into tangible business value by analyzing information, communicating outcomes, and collaborating on product development. Work with Best in Class open-source and visual tools, along with the most flexible and scalable deployment options.

Responsibilities

• Implement and validate predictive and prescriptive models, create and maintain statistical models with a focus on big data.
• Incorporate a variety of statistical and machine learning techniques in your projects.
• Write programs to cleanse and integrate data in an efficient and reusable manner.
• Use leading-edge and open-source tools such as Python, R, Pytorch, and TensorFlow, 
• Work in an Agile, collaborative environment, partnering with other scientists, engineers, consultants, and database administrators of all backgrounds and disciplines to bring analytical rigor and statistical methods to the challenges of predicting behaviors.
• Evaluate modeling results and communicate the results to technical and non-technical audiences.

Qualifications and Skills

• Ability to look at things differently, debug, troubleshoot, design, and implement solutions to complex technical issues.
• Strong technical and analytical abilities, a knack for driving impact and growth, and experience with programming/scripting in a language such as Python.
• Basic understanding of statistical programming in a language such as R, Python, etc.
• Experience using an ML library such as Tensorflow, Keras, or Pytorch
• Basic understanding of Cloud (Google Cloud, Azure, etc).
• Excellent verbal and written communication skills.
• Work or internship experience using data science tools in a corporate environment.

Benefits and Perks

• Comprehensive compensation and benefits package
• 401K
• Work-from-home flexibility
• 5 weeks vacation plus paid holidays
• Monthly childcare stipend for preschool aged children

At Dianthus we are committed to building a diverse team, so we are proud to be an equal opportunity workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.