Lead Data Scientist
About The Position
Bugfest is seeking an experienced and highly motivated Lead Data Scientist to lead the development of data-driven products, models, and analytical strategies that help shape our business and customer experiences. In this role, you will combine strong technical expertise with leadership and business judgment to identify opportunities, translate complex problems into measurable solutions, and guide data science initiatives from experimentation through production. You will collaborate closely with engineering, product, and business teams to build predictive models, design experiments, analyze large and complex datasets, and communicate insights to technical and non-technical stakeholders. The ideal candidate has a strong foundation in statistics and machine learning, experience with Python and modern data science tools, and a proven ability to mentor other data scientists while setting high standards for analytical rigor, reproducibility, and impact. This is a leadership role for someone who enjoys solving ambiguous problems, influencing strategy, and turning data into practical business outcomes. The position is based in Dallas, Texas, with collaboration across multiple teams at Bugfest.
Requirements
- Strong foundation in statistics and machine learning.
- Experience with Python.
- Experience with modern data science tools.
- Proven ability to mentor other data scientists.
- Experience setting high standards for analytical rigor, reproducibility, and impact.
- Experience solving ambiguous problems.
- Experience influencing strategy.
- Experience turning data into practical business outcomes.
Responsibilities
- Lead the development of data-driven products, models, and analytical strategies.
- Combine technical expertise with leadership and business judgment to identify opportunities.
- Translate complex problems into measurable solutions.
- Guide data science initiatives from experimentation through production.
- Collaborate closely with engineering, product, and business teams.
- Build predictive models.
- Design experiments.
- Analyze large and complex datasets.
- Communicate insights to technical and non-technical stakeholders.
- Mentor other data scientists.
- Set high standards for analytical rigor, reproducibility, and impact.
- Solve ambiguous problems.
- Influence strategy.
- Turn data into practical business outcomes.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
