Lead Data Scientist: Production Recommender Systems (Databricks)

Mindera

City of Melbourne

On-site

AUD 180,000 - 240,000

Full time

4 days ago
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Benefits offered by this job

Private medical
Private medical (children)
Counseling services
Eyewear reimbursement
Profit distribution
Mindera Unit Plan
Flexible benefits
Learning opportunities
Coaching
25 days holiday
Work flexibility
Vacation incentive
Social events

Job summary

Mindera is seeking a Lead Data Scientist to join an agile, collaborative team where your voice matters as much as your code. You will own the recommendation models end to end in production, implementing an agreed plan and producing robust, testable code.

You’ll work with Data Science leadership and engineering teams in Databricks with Python and PySpark to productionise features, refactor notebooks, and apply solid OO design. Strong communication with clients and delivery teams is essential.

Qualifications

  • Strong production-grade data science experience.
  • Expertise building and deploying end-to-end recommendation models.
  • Proficiency with Python, Databricks and Spark in production.

Responsibilities

  • Lead consolidation and simplification of recommendation algorithms.
  • Develop, productionise and monitor ML models across use cases.
  • Own full model lifecycle: data, feature, model, evaluation, deployment, monitoring.

Skills

Python in production DS
Databricks
PySpark / Spark
Object-oriented programming
Clean code
Modular ML code
Unit testing
Git
CI/CD for ML
Model evaluation
Experimentation
Deployment to production
Monitoring production models

Tools

Databricks
PySpark

Job description

Mindera is seeking a Lead Data Scientist to join an agile, collaborative team where your voice matters as much as your code. You will own the recommendation models end to end in production, implementing an agreed plan and producing robust, testable code.

You’ll work with Data Science leadership and engineering teams in Databricks with Python and PySpark to productionise features, refactor notebooks, and apply solid OO design. Strong communication with clients and delivery teams is essential.

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