Senior Staff Data Scientist (Remote)
- Türkiye
- Kontrat
- Tam zamanlı
- Have a wider impact by providing insights and effective leadership into data science, digital media, and data engineering. This individual will have the hands-on skills to be an individual contributor and the experience for mentoring and leading other data scientists (25%)
- Act often as a technical lead, determining approach, objectives, requirements, features, milestones, implementation tasks, and tradeoffs of end-to-end large scale data science projects, platforms, and systems (25%)
- Act as a subject matter expert in data science (ML/AI) algorithms and underlying technologies (programming languages and systems) (15%)
- Design, conduct, and incorporate analyses of large-scale data from a wide variety of sources (15%)
- Work within the scrum practices in team projects (10%)
- Contribute to hiring process by screening higher level candidates, team interviews, manager candidates, i.e., act as a “Bar Raiser” (10%)
- Bachelor’s Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Required)
- Master’s Degree in a quantitative discipline (Computer Science, Mathematics, Engineering, Statistics) (Desired)
- Doctorate Degree (Preferred)
- In lieu of the above education requirements, a combination of experience and education will be considered.
- 8 – 10 years Relevant Experience (Required)
- Strong analytical skills, with expertise and solid understanding of multiple statistical/analytical machine learning techniques applied at large scale.
- Technical proficiency in ML algorithms, scalable ML platforms, languages, and tools (Python, Spark, ML/Ops) in a corporate setting is highly desirable.
- Ability to communicate effectively across multi-disciplinary teams (e.g., data science, engineering and product management, org leadership).
- Prior experience in applying Data Science in Digital Marketing Technology, Graph Theory, Privacy and Geolocation Data is a plus.
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