Who we are:
Tasktop’s value stream management platform enables enterprises to master software at scale. Leading brands, including half of the Fortune 100, use Tasktop to provide real-time visibility into the health of product value streams, allowing them to make better decisions and align with business goals. Tasktop plugs into existing tools and overlays the end-to-end value stream to provide the abstractions, automation, visualizations and forensics needed to practice value stream management on a daily basis.
About you:
You seek an opportunity to showcase the best work of your career at an accepting, culturally diverse and fast paced SaaS product company that is a leader in its category. You have proven experience taking business ideas through algorithm design all the way to production running in the cloud.
What you will be doing at Tasktop:
- Work with product leadership to identify opportunities
- Apply analytic/ML approaches to extract customer-facing insights from raw data
- Translating business requirements into suitable algorithmic architectures
- Discovering what information can be used as labels for supervised learning and validation of analysis
- Putting models into production - building inference endpoints, automating training jobs
- Integrating ML analysis with managed services on AWS
- Monitoring models/analytic pipelines in production to ensure they deliver consistent, accurate results
Requirements:
- 4+ years of relevant industry experience
- Proven ability to analyze large-scale complex data sets, applying analytic and machine learning algorithms to produce insights, and delivering/monitoring in production
- In depth understanding of statistical analytics techniques
- Expertise in at least one high level programming language like Java, Scala, Python
Bonus Points:
- SaaS product development background
- Educational background in a relevant field (Computer Science, Math, Statistics)
As a Tasktop employee you will enjoy flexibility, a health and wellness allowance, volunteer programs, a generous vacation offering, happy hours, and plenty more benefits!
Do you want to join the movement?? We would love to hear from you. Apply within!