Applied Data Scientist III — Ad Tech at Scale & Production ML
Sphere Digital Recruitment Group
San Francisco (CA)
Hybrid
USD 160,000 - 220,000
Full time
14 days+
Application generator
Stand out for this role — generate a tailored resume and cover letter in about a minute.
Get past ATS filters
Benefits offered by this job
RSUs
Benefits
Job summary
A global ad tech business in the Bay Area is seeking an Applied Data Scientist III to design algorithms for auctions and pricing. The ideal candidate will have 5.5–7 years of experience in applied science, strong skills in Python and large-scale data systems, and a PhD in a relevant field. You'll own the model lifecycle and collaborate closely with engineering teams to directly influence real-time marketplace behavior. This full-time role offers a hybrid work environment with competitive salary and benefits.
Qualifications
5.5–7 years of applied science or algorithmic research experience with production deployment.
Deep theoretical grounding in optimization and learning theory.
A researcher’s mindset with a drive to ship production models.
Responsibilities
Designing and building new algorithms for auctions and pricing.
Applying online learning and reinforcement learning techniques.
Partnering closely with engineering and product to ship models.
Skills
Applied science or algorithmic research experience
Strong coding experience in Python
Experience with large-scale data systems
Theoretical grounding in optimization and learning theory
Education
PhD in CS, Statistics, Mathematics, Operations Research, or Physics
Master’s with exceptional experience
Tools
Python
NumPy/SciPy
PyTorch/TensorFlow
Spark
Job description
A global ad tech business in the Bay Area is seeking an Applied Data Scientist III to design algorithms for auctions and pricing. The ideal candidate will have 5.5–7 years of experience in applied science, strong skills in Python and large-scale data systems, and a PhD in a relevant field. You'll own the model lifecycle and collaborate closely with engineering teams to directly influence real-time marketplace behavior. This full-time role offers a hybrid work environment with competitive salary and benefits.