Applied Data Scientist - SF On-Site

Posted 13 Days Ago
San Francisco, CA
Senior level
AdTech • Artificial Intelligence • Mobile
The Role
Design and implement machine learning models and data pipelines for a programmatic demand-side platform, collaborating with various teams to enhance advertising effectiveness.
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 5 million 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 seeking a motivated and detail-oriented Applied Scientist to join our team. As an Applied Scientist, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with senior research scientists and other team members to drive impactful data science projects and contribute to innovative solutions. 

This is an on-site role, 5 days a week, based in our South Beach officer in San Francisco, California. 

Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.

Role & Responsibilities

  • Develop and deploy machine learning models at scale to address key challenges in programmatic advertising, such as user response prediction, bid landscape forecasting, and fraud detection.
  • Conduct exploratory data analysis and apply statistical techniques to extract insights and support decision-making.
  • Build and maintain data pipelines to ensure efficient processing and integration of large-scale data for model training and evaluation.
  • Work closely with senior data scientists and cross-functional teams including product, engineering, and business units to integrate models into production systems and applications.
  • Assist in the development and implementation of best practices for model deployment, monitoring, and performance assessment.
  • Stay updated on recent developments in machine learning and data science, and apply relevant techniques to solve complex problems and enhance our platform.
  • Contribute to the exploration and adoption of new methodologies and technologies to advance our data science capabilities.

Skills & Experience

  • Minimum of five (5) years in data science with practical experience in machine learning, statistical analysis, and data modeling.
  • Proficiency in machine learning techniques such as regression, classification, and clustering. Experience with Python and libraries like Scikit-Learn, TensorFlow/PyTorch
  • Proficiency in Python and SQL. Familiarity with Spark. Experience with libraries such as TensorFlow/PyTorch, Scikit-Learn
  • Strong understanding of probability, statistics, and data analysis.
  • Ability to work effectively in a team environment, with good communication skills to explain complex concepts to diverse stakeholders.
  • Preferred experience with additional programming languages (e.g.,  Rust, C++, Java, Scala) and large-scale data processing systems.
  • Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus. 
  • Bachelor’s degree in Mathematics, Physics, Computer Science, or a related technical field. 
  • A master's degree is a plus in Mathematics, Physics, Computer Science, or a related technical field is plus!

Top Skills

Python
PyTorch
Scikit-Learn
Spark
SQL
TensorFlow
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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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