Data Scientist
Remotive
Remote
•2 days ago
•No application
About
This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.
Role Description
As a Data Scientist, you will play a pivotal role in our Data Science and Machine Learning (DSML) team, contributing to technical delivery of strategic projects from inception to implementation. You will apply your experience in data science, machine learning, and statistical analysis to solve complex challenges, enhance our product offerings, and deliver actionable insights that propel our business forward. This role requires a blend of technical proficiency and collaboration to help DSML deliver impactful work.
- Develop algorithms and models from the experimental and prototyping phases all the way through to their use in customer-facing solutions.
- Collaborate with data scientists and machine learning engineers to define technical product requirements.
- Establish performance metrics, build test suites, and create visualizations that effectively track model behavior.
- Communicate complex data-driven insights and recommendations to technical and non-technical stakeholders.
Qualifications
- 3+ years of hands-on, professional experience in data science, machine learning, or a related field, with a proven track record of delivering impactful data science projects.
- Strong SQL and Python skills.
- Detailed knowledge of data structures and database operations.
- Problem-solving skills and the ability to work on complex issues requiring innovative solutions.
- Effective communication and collaboration skills when partnering with stakeholders and team members to resolve ambiguity in data science projects.
Requirements
- Experience self-managing projects and deliverables.
- Experience working on NLP, LLM, and causal imprints.
- Hands-on experience with search, recommendation engines, forecasting, causal imprints, etc.
Benefits
- Competitive compensation packages.
- Medical coverage.
- Unlimited PTO and Summer Fridays.
- Wellness reimbursements.
- Pluralsight subscription.
- Professional development funds.
- And more.
