Quick Summary
5+ years bringing machine learning to production at scale,
We're growing our Data Science team to ship production machine learning that powers ActivTrak's next generation of workforce intelligence products. This is a hands-on role built around production ownership: you take a problem from formulation through a shipped, monitored model, not just to a notebook.
- Predicting user roles and classifying activity from behavioral event data
- Cross-account benchmarking that turns aggregate usage patterns into product-differentiating insight
- Making pragmatic tradeoffs between model sophistication, business value, reliability, latency/cost, and iteration speed
- Partnering with our Data Engineers, who take your models and analysis and turn them into durable, scalable production systems
Responsibilities
~1 min read- →5+ years bringing machine learning to production at scale, with direct experience making the sophistication/speed/reliability tradeoffs described above
- →Strong Python and production-grade software engineering practices (testing, code review, version control)
- →Experience with classification/prediction problems on behavioral, event, or user activity data
- →Strong SQL and comfort working directly against production data sources, not just flat files or CSVs
- →Experience with feature engineering: defining, standardizing, and validating features for production models
- →Experience monitoring model quality after deployment and responding to drift or degradation, not just shipping and moving on
- Time series analysis and/or hidden state models
- Parallel dataframes (Dask, Spark, or similar)
- Comfort working within a layered/medallion-style data architecture (raw → cleansed/identified → aggregated/de-identified)
- Feature store experience (versioning, storage, reuse)
- Cloud environment experience (GCP or AWS), and general comfort operating around containerized/orchestrated infrastructure (Docker, Kubernetes) even if you're not the one building it
- Own production ML that reaches customers and improves through real-world feedback
- Work on a genuinely uncommon ML problem: behavioral event data from 9,500+ customer organizations, used for role prediction, activity classification, and cross-account benchmarking
- Small, senior team with real ownership and visibility to leadership
- Position is remote within 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 proven track record of creative thinking, a drive for learning, and a deep commitment to collaboration, we want to talk to you!
ActivTrak is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. ActivTrak does not discriminate 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.
Location & Eligibility
Listing Details
- Posted
- August 26, 2026
- First seen
- September 9, 2026
- Last seen
- September 9, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 37%
- Scored at
- September 9, 2026
Signal breakdown

ActivTrak is a workforce analytics and productivity software company that provides a platform for organizations to monitor employee productivity, manage workforce performance, and optimize resources. It was founded in 2009 and is headquartered in Austin, Texas.
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