Staff Data Scientist - SF

Posted 10 Days Ago
Be an Early Applicant
San Francisco, CA
200K-350K Annually
Senior level
AdTech • Artificial Intelligence • Mobile
The Role
As a Staff Data Scientist, you will design and implement advanced machine learning models and data pipelines for programmatic advertising. Your role includes conducting applied research, developing evaluation frameworks, collaborating with cross-functional teams, and driving innovation to enhance performance and meet business objectives.
Summary Generated by Built In

About Us

Aarki is an AI-driven company specializing in mobile advertising solutions designed to fuel revenue growth. We leverage AI to discover audiences in a privacy-first environment through trillions of contextual bidding signals and proprietary behavioral models. Our comprehensive audience engagement platform includes creative strategy and execution. With over 14 years in the industry, we handle 5M mobile ad requests per second from over 10B devices, driving performance for both publishers and brands. We are headquartered in San Francisco, CA, with a global presence across the United States, EMEA, and APAC.

Role Overview

We are looking for a passionate and experienced Staff Data Scientist to join our innovative team. In this role, you will focus on the development and deployment of cutting-edge machine learning models, optimizing our programmatic demand-side platform (DSP). You will collaborate closely with other technical experts, contributing to technical solutions and strategic initiatives, all while driving advancements in machine learning and AI. 

If you have a strong track record of building production-grade solutions and are eager to push the boundaries of AI and mobile advertising, we want to hear from you! We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.

Role & Responsibilities

  • Design, develop, and implement advanced machine learning algorithms and data pipelines at scale for optimizing programmatic advertising, including user response prediction, bid landscape forecasting, fraud detection, and budget pacing strategies.
  • Conduct applied research and leverage findings to enhance our platform’s performance and address complex business challenges.
  • Develop and maintain a framework for performance evaluation and iterative development to ensure continuous improvement and innovation.
  • Contribute to the development of technical solutions and collaborate with cross-functional teams to ensure alignment with business goals and KPIs.
  • Collaborate with product, engineering, and business stakeholders to integrate machine learning models into production systems and applications.
  • Focus on driving innovation, ensuring that machine learning models meet business objectives and exceed performance expectations.

Skills & Experience

  • Minimum of 7 years in data science, with a proven track record of delivering end-to-end, production-grade machine learning solutions across domains such as deep learning, recommender systems, optimization algorithms, and Bayesian inference.
  • Expertise in Python and experience with libraries like TensorFlow/PyTorch, Scikit-Learn, XGBoost, Spark, and SQL.
  • Experience with deploying machine learning models to production systems.
  • Strong problem-solving skills, with a deep understanding of probability, statistics, numerical optimization, and stochastic methods.
  • Familiarity with real-time bidding (RTB), auction theory, and high-throughput, low-latency environments is a plus.
  • Experience with additional programming languages (Rust, C++, C#, Java, or Scala) and large-scale data processing systems is a plus.
  • Bachelor's in Mathematics, Physics, Computer Science, or a related technical field. Master’s or Ph.D. preferred.

Salary + Bonus + Equity

The compensation salary range for this role based in San Francisco, California is: $200,000 - $350,000. Compensation decisions are dependent on several factors including, but not limited to, level of the position, an individual’s skills, knowledge and abilities, location where the role is to be performed, internal equity, and alignment with market data. Additionally, all full-time employees are eligible for our discretionary bonus program and equity as part of the compensation package.

Benefits & Perks

  • Health Benefits including Medical, Dental, Vision, HSA and FSA (Health & Dependent Daycare)
  • Employee Assistance Program
  • Short-Term Disability, Long-Term Disability Insurance - Aarki funds 100% of the contributions
  • Life and AD&D, Supplemental Life and AD&D, Hospital Indemnity, Voluntary Employee Critical Illness
  • Commuter & Parking Benefits
  • Company 401(k) with a 
  • Commuter Benefits
  • Flexible Vacation Policy
  • Paid Parental Leave
  • Company paid daily lunches for in-office employees and fully-stocked kitchen with snacks and beverages

Aarki, Inc. is dedicated to ensuring an inclusive hiring process and providing reasonable accommodations for candidates with disabilities. If you require any assistance or accommodations due to a disability, please contact us.

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

Top Skills

Python
The Company
San Francisco, California
127 Employees
On-site Workplace
Year Founded: 2010

What We Do

Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using a massive-scale of contextual bidding signals coupled with proprietary behavioral models. The platform also includes a full service agency team and unified creative strategy that delivers ad creative ideation and execution. Aarki has worked with hundreds of advertisers over 14 years and sees 5M ad requests per second from over 10B devices. It is privately held headquartered in San Francisco with offices across the US, EMEA, and APAC

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