Title: Senior Data Scientist

Location: United States REMOTE- US / DELIVERY – BUILD / FULL TIME- REMOTE Note: This position is only open to candidates located in the United States.

We value well-tested, reusable code and expect our engineers and data scientists to be as good of practitioners as they are leaders and teachers. About This Role Very has been a remote company since before it became normal — 2011, to be exact. We’ve built a collaborative, tight-knit team that thrives, whether we’re hanging out in person at our annual retreat or coordinating work across time zones. The results show that we’re doing something right. In 2020, we were named one of Inc’s Best Workplaces, Parity.org’s Best Companies for Women to Advance List, and Fatherly’s Best Places to Work for Dads. Clients like Vizio, Clear, iHeart Radio, Complex Media, Shopkeep, and more come to us for answers to their thorniest questions. We bring them a world-class product team that delivers end-to-end IoT solutions. As a Senior Data Scientist at Very, you will work with our Software, Hardware, and Product Design teams to build full-service solutions for our clients. We focus on building end-to-end hardware and software solutions that meet our clients’ business needs, and reliable machine learning systems are often a part of our offering. An ideal candidate will display technical expertise in machine learning and data science, as well as strong communication skills, and the ability to present ideas and results to audiences ranging in technical depth. Candidates should also have experience translating business problems into analytical solutions, working in interdisciplinary teams, and building ML models for production systems. What You’ll Be Working On Very is first and foremost a software consultancy. We tackle hard problems for clients who need a targeted, senior team to come in and provide specific solutions. There is a never-ending supply of variety to the types of projects we work on. However, it is critical to note that almost all of these projects are production systems. As such, the only consistent research component of this position will revolve around establishing a pattern of delivery that allows the team to implement full-scale applications leveraging machine learning in a fast, predictable manner. You’ll spend 80-90% of your time working on a product or platform for one of our clients, and the other 10-20% of your time will be spent improving Very’s Data Science Practice. This will involve:

Working with other data scientists to continuously improve our delivery process for data science applications. Working with our marketing team to generate high-quality content (blog posts, conference presentations) Working with our sales team to close deals and build meaningful, well-scoped proposals for potential clients.

It is helpful to have familiarity with the following analytical approaches:

predictive modeling and/or anomaly detection on multivariate time series data state classification and prediction for geospatial time series data regression and classification using a variety of deep learning and ensemble tree-based methods clustering / segmentation dimensionality reduction or latent space representation

Our Current Tooling Our data science contracts typically involve building a greenfield API or greenfield product from the ground up. In the context of the data science and machine learning pipelines, we typically leverage:

Jupyter notebooks for prototyping The standard SciPy Stack (Numpy, SciPy, Pandas, Scikit-Learn, Matplotlib) git (version control), CircleCI (CI/CD), pytest (TDD) AWS Lambda via the Serverless Framework AWS Sagemaker AWS Batch Serverless or Terraform MLflow PyTorch

On our full-service builds, we often reach for the following tools. Experience with them is not required, but any familiarity with these tools is a plus. Our build teams operate with a very high degree of collaboration, so you will definitely have run-ins with these stacks throughout your time here:

React & React Native Swift & Objective C Elixir, Phoenix, and Nerves Ruby on Rails

How You’ll Be Compensated We believe in a transparent, fair compensation structure and have developed our own open salary formula. Depending on your skill and experience, you can expect your base compensation to be somewhere between $105,000 and $130,000 upon joining the company. We also offer performance bonuses, a generous maternity/paternity leave policy, 401K matching, and numerous other employee benefits. This is a full-time, remote employment opportunity for a single individual. We’re not looking for contractors, part-time individuals, or agencies of any kind. Applicants must be located in the continental United States.