Senior Software Engineer (Data Science)
Senior Software Engineer (Data Science),
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. 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
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. You will be working closely on 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 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.
Senior Python development skills
Experience bringing Machine Learning to production at scale
Professional experience in cloud environments (Google Cloud Platform, AWS, Azure)
Experience with horizontally scalable deployments
Docker/Containers, Kubernetes
Strong data fundamentals (SQL, Pandas)
Parallel dataframes at scale with Dask or Spark
R&D driven first-principles thinker
Values software craftsmanship, quality and application of SDLC best practices
Experience with feature engineering, standardization, versioning and storage
API design/implementation (REST for microservice architectures)
Experience working with CI/CD systems and software source control systems, such as Git
Adopts a test-driven software development philosophy
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! 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-REMOTEApply Now
Apply Now
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. 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
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. You will be working closely on 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 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.
Senior Python development skills
Experience bringing Machine Learning to production at scale
Professional experience in cloud environments (Google Cloud Platform, AWS, Azure)
Experience with horizontally scalable deployments
Docker/Containers, Kubernetes
Strong data fundamentals (SQL, Pandas)
Parallel dataframes at scale with Dask or Spark
R&D driven first-principles thinker
Values software craftsmanship, quality and application of SDLC best practices
Experience with feature engineering, standardization, versioning and storage
API design/implementation (REST for microservice architectures)
Experience working with CI/CD systems and software source control systems, such as Git
Adopts a test-driven software development philosophy
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! 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-REMOTEApply Now
Apply Now