WorkWave
Applied Data Scientist / Machine Learning Engineer (Decision Intelligence)
USARemotePosted Today
Full TimeSeniorRemoteUS
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Job Description
We are looking for a product-minded Applied Data Scientist or Machine Learning Engineer to help build, ship, and scale ML-powered products that directly improve how our customers make decisions, opera
Key Highlights
- End-to-End ML Ownership: Drive the development of machine learning capabilities (forecasting, recommendation, ranking, optimization, or decision intelligence) powering customer-facing SaaS products.
- Pipeline & Model Development: Design reliable data and feature pipelines alongside models from discovery through experimentation, validation, deployment, and monitoring.
- Product Integration: Partner with Product Managers and Software Engineers to embed ML directly into product workflows, user experiences, and decision-making tools.
- Pragmatic Prototyping: Move quickly from prototype to production while balancing accuracy, interpretability, latency, maintainability, and business impact.
- Evaluation & Experimentation: Define offline and online evaluation strategies, including model quality, drift, and reliability. Design A/B tests and causal measurement frameworks to prove ML features improve customer outcomes.
Qualifications
Required Qualifications
- The Proven Builder: You have shipped ML into real products. You are comfortable starting with an ambiguous product problem, figuring out if ML is the right solution, building it, and measuring whether it worked.
- Product-First Architect: You care about product impact as much as model performance. You know that a model with slightly lower accuracy but higher trust, faster inference, better explainability, and stronger user adoption is the better product decision.
- A Multi-Disciplinary Executioner: You understand that a model is only as good as the pipeline feeding it. You prioritize usability, “Time to Insight,” and customer trust as much as you do code efficiency.
Preferred Qualifications
- Experience with decision intelligence, forecasting, customer behavior modeling, workforce/route optimization, or operational intelligence products.
- Experience with LLMs, GenAI, or agentic workflows applied to real product use cases.
- Prior experience acting as a Senior or Lead scientist responsible for guiding technical direction.
Skills & Technologies
Machine LearningPythonPyTorchTensorFlowSQLAWSGCPAzure
About the Company
WorkWave
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Job Details
Employment Type
Full Time
Experience Level
Senior
Location
USA
Work Mode
Remote
Posted
Today
Country
US