NYC, Boston, or Louisville

Full Time

Posted on:
17-2-2022

Data Scientist (Boston, New York, or Louisville)

Job Description

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 PytorchBasic 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.

Apply to this job
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.