Senior Software Engineer (Data Science)

About ActivTrak:

ActivTrak is a cloud-based platform that provides productivity insights into how teams work, improving employee and customer experience, while also enabling better business outcomes. At ActivTrak, we recognize the powerful link between these two concepts and we're on a mission to understand it more every day. Alongside 9500+ paying customers, our team uses the platform internally to assess team and organizational performance, hone product features, develop best practices, streamline processes, invest in new innovations, and promote a culture of immediate feedback and transparency.

We are a fast-growing, agile company with a forward-thinking, inclusive culture. Our teams are encouraged to collaborate daily to solve challenges, create and champion new ideas, and execute initiatives that help global customers and their modern workforces succeed by working better together.

Requirements

The Position & Responsibilities:
As a senior engineer working on our Data Science team, you will be responsible for researching, building, and deploying ML models in a variety of contexts to support our AI/ML-driven analytics initiatives. This entails sourcing data, converting data into features, and managing these features and the models that employ them. Experience in research, development and production deployment of models that provide critical business value is a huge plus. As part of the larger ActivTrak team, you will be working closely in a team that is expected to code to scale to hundreds of millions of events per day, leverage our petabyte+ of existing data, and support our 150,000+ users as we disrupt the productivity analytics industry. You will be collaborating with teams across engineering and the business to help provide insights and answers to our customers’ most pressing questions.

Skills & Experience:

• Experience bringing Machine Learning to production at scale
• R&D driven first-principles thinker
• Scrappy data skills: demonstrably strong SQL proficient with Pandas
• Parallel dataframes at scale with Dask or Spark
• Adopts a test-driven software development philosophy
• Values software craftsmanship and quality
• Experience with feature engineering, standardization, versioning and storage
• API design/implementation (e.g. Microservices, REST, etc)
• Professional experience in cloud environments (e.g. Google Cloud Platform, AWS)
• Docker/Containers, Kubernetes is a plus
• Serverless deployment scenarios is a plus
• Knowledge of SDLC and best practices
• Experience working with CI/CD systems and software source control systems, such as Git

Benefits

Work environment:

• The position is remote within the US
• Minimal travel
• Limited physical demands

This is an incredible opportunity to embark on an exciting journey with a dynamic, VC-backed company. If you have a positive attitude towards urgency, risk, and challenges that comes with working in a startup environment, then you will be a great fit! To see the many faces of ActivTrak, visit https://activtrak.com/our-team/.

ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate in employment on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, marital status, disability, age, protected veteran status, gender identity, or any other factor protected by applicable federal, state or local laws. #LI-REMOTE