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Role Responsibilities:

Design predictive models for the platform's real-time behavioral pricing & risk engine.
Create models to anticipate driving events and categorize driving behaviors.
Spearhead and enhance MLOps capabilities.

Skills & Qualifications:

Must-Have:

Proficiency in Python with experience in crafting production-grade ML services.
Comprehensive grasp of ML core concepts and applied statistics.
Familiarity with data science-related Python libraries: pandas, numpy, scikit-learn, PyTorch.
Deep learning expertise.
Proven track record of owning production models.
Comfort with command-line operations.

Nice-to-Have:

Experience in geospatial and/or time-series challenges.
Experience with autonomous vehicle or telematics data.
Previous role in the insurance industry.
Expertise in accident modeling or experience with imbalanced datasets.
Familiarity with distributed computing tools: Dask, Ray, Spark.
Knowledge of testing frameworks, e.g., pytest.

Benefits & Perks:

Competitive compensation.
Flexible working arrangements; work-life balance is a priority.
Generous and flexible vacation policy.
Monthly Discretionary Budget: Receive a monthly allowance to spend as you choose, whether on healthcare or other personal needs.
Commitment to Growth: Access to fully-funded personal development courses to encourage continuous learning and skill enhancement.
A dynamic and cutting-edge technical environment to advance your skills.