How Remoteville checks and expires listings
Mid/Senior Data Scientist
Skills
Computer ScienceCost EngineeringData AnalyticsDriftEnglishFeature SelectionFraud Detection
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Masters degree or above in a relevant quantitative field
- At least 2 years of industry experience in Python and SQL
- Strong mathematical statistical and machine learning skills
- Solid software development and engineering knowledge
- Experience with statistical testing and causal analysis
- Analytical thinking and problem solving ability
- Experience with visualization tools and libraries
- Familiarity with cloud data and ML services preferably GCP
- Full lifecycle machine learning model development experience
- Excellent communication skills in professional English
- Positive attitude resilience and strong interpersonal skills
- Ability to work independently and manage projects
Nice to have
- Curious
- Collaborative
- Self-motivated
- Resilient
- Detail-oriented
Day to day
- Analyze large datasets to uncover patterns and opportunities for machine learning improvements
- Build and tune predictive models for pricing dispatching fraud detection and personalization use cases
- Work closely with engineering and product teams to deploy monitor and improve production ML solutions