Applied Data Scientist / Machine Learning Engineer (Decision Intelligence)

WorkWave · Job · via Jobicy

Type
Job
Organization
WorkWave
Location
USA
Deadline
Rolling or not stated
Remote
Yes
Who can apply
People living in United States
Posted
27 September 2026
Skills mentioned
Machine learning, Python, PyTorch, TensorFlow, SQL, Airflow, dbt, Snowflake

Apply — via Jobicy

About this Opportunity

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, operate their businesses, and serve their own users.This is not a research-only role, nor is it a service-oriented internal analytics position. We want someone who has taken machine learning from problem definition through experimentation, production deployment, measurement, iteration, and long-term ownership.

Eligibility

  • + years (ideally 5+) of professional experience in applied data science, machine learning, or ML engineering, including hands-on experience building and shipping models into production products.
  • Experience with SaaS products is highly valued.
  • Technical Core: Strong Python skills and hands-on experience with applied ML libraries and frameworks (e.g., Scikit-Learn, XGBoost, PyTorch, TensorFlow).
  • Solid SQL expertise is required.
  • ML & Modeling Depth: Strong understanding of supervised learning, forecasting, ranking, recommendation systems, optimization, or statistical modeling.
  • Experience with real-world, imperfect product datasets is essential.

Documents you may need

  • Updated CV / Resume
  • Cover Letter (tailored to this role)

How to apply

  1. Click the "Apply — via Jobicy" button to go to the source page.
  2. Read the full description and confirm you meet the requirements.
  3. Prepare your CV and cover letter tailored to this role.
  4. Submit your application through the official portal.
  5. Follow up within 1–2 weeks if you do not hear back.

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