Senior Applied Scientist (AdTech)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior Applied Scientist (AdTech): Developing and productionizing end-to-end measurement solutions for ad spend impact using GenAI, Causal Inference, and ML with an accent on scalability and automated customer workflows. Focus on designing novel measurement models, integrating scientific technologies like NLP and Computer Vision, and translating complex challenges into business insights.
Location: USA, NY, New York
Salary: $183,800 - $248,700
Company
Ads develops centralized performance measurement products and AI-driven tools to help advertisers optimize their media portfolios.
What you will do
- Lead the development of scalable ad measurement models to track the full spectrum of advertiser investments.
- Design and productionize models leveraging Generative AI, Classical ML, Causal Inference, NLP, and Computer Vision.
- Collaborate with engineering and product management to deploy scientific solutions into production.
- Drive continuous improvement of ML models through iterative testing and optimization.
- Mentor junior scientists to foster a high-performing and collaborative team culture.
- Contribute to the broader scientific community via presentations, publications, and patents.
Requirements
- Must be based in or authorized to work in the USA (New York)
- PhD, or Master's degree and 6+ years of applied research experience.
- 3+ years of experience building machine learning models for business applications.
- Proficiency in programming languages such as Python, Java, or C/C++.
- Strong experience with neural deep learning methods and machine learning.
Nice to have
- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, TensorFlow, NumPy, or SciPy.
- Experience with large-scale distributed systems such as Hadoop and Spark.
Culture & Benefits
- Comprehensive health insurance including medical, dental, vision, and prescription coverage.
- Financial perks including 401(k) matching and restricted stock units (RSUs).
- Paid time off and parental leave.
- Mental health support, EAP, and flexible spending accounts.
- Support for adoption and surrogacy reimbursement.
- Inclusive work environment with dedicated workplace accommodation support.
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