Kargo Logo

Kargo

Senior Data Scientist - Auction

Job Posted 6 Days Ago Reposted 6 Days Ago
Remote
2 Locations
100K-150K
Senior level
Remote
2 Locations
100K-150K
Senior level
As a Senior Data Scientist, you will optimize auction-based models, collaborate with teams, drive client ROI, and enhance modeling infrastructure.
The summary above was generated by AI

Kargo creates breakthrough cross-screen ad experiences for the world’s leading brands and publishers. Every day, our 600+ employees bring the power of their creativity and diversity to radically raise the bar on what mobile, CTV, AI, social, and eCommerce can do to build businesses. Now 20 years strong, Kargo has offices in NYC, Chicago, LA, Dallas, Sydney, Auckland, London and Waterford, Ireland. Humble brag: In 2025, Kargo was recognized as a Best Place to Work by Built In.

Who We Hire

Success takes all kinds. Diversity describes our workforce. Inclusion defines our culture. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, national origin, protected veteran status, disability or other legally protected status. Individuals with disabilities are provided reasonable accommodation to participate in the job application process, perform essential job functions, and receive other benefits and privileges of employment.

Title: Sr. Data Scientist - Auction

Job Type: Full-time

Job Location: New York, NY

Salary Range: $100,000.00 - $150,000.00 (On Target Earning)

The Opportunity

As the Sr. Data Scientist at Kargo, you will play a pivotal role in driving the strategic direction of our adtech company's mission-critical auction based models. You will be a part of a cutting edge adtech auction optimization team to support our integrations with DSP and internal auction mechanisms to deliver the highest outcomes possible for our clients across industry verticals. You’ll drive alongside other data scientists and machine learning experts to deploy, test, and experiment with models. This position requires a blend of technical expertise, industry knowledge, and strategic thinking to enhance our modeling infrastructure and address the unique challenges of Kargo's clients.

The Daily To-Do

  • Spend your days working on increasing Kargo’s margins and auction in the real-time auction. You’ll dream about client ROI, win-rates, auction dynamics, and efficiency gains for the company.
  • You’ll be working with our data across the oRTB spec for all media channels as well as our advanced user and targeting data.
  • Work within a team of data scientists and machine learning experts, fostering a culture of innovation and excellence.
  • Collaborate closely with the application engineering leads, data engineering, analytics and audience teams to develop and refine data-driven strategies.
  • Work in consultation with product management and business stakeholders to understand client needs and translate them into actionable data science projects.
  • Ensure the reliability, scalability, and performance of our real-time bidding systems.
  • Stay abreast of emerging trends and technologies in adtech, particularly in areas related to machine learning and real-time data processing.
  • Drive the continuous improvement of our modeling infrastructure to enhance efficiency and effectiveness.
  • Facilitate cross-functional collaboration to ensure alignment of data science initiatives with overall business objectives.
  • Present insights and strategic recommendations to senior leadership and stakeholders.

Qualifications : 

  • Advanced degree in Computer Science, Statistics, Mathematics, or a related field.
  • Significant experience working with scalable modeling frameworks.
  • Hands on SQL and Python experience in their past several years.
  • Extensive experience in data science, machine learning, and adtech.
  • Strong technical expertise in real-time bidding, OpenRTB, and related technologies.
  • Excellent communication and interpersonal skills, with the ability to convey complex concepts to non-technical stakeholders.

Follow Our Lead

  • Big Picture:  kargo.com
  • The Latest:  Instagram (@kargomobile) and LinkedIn (Kargo)

Top Skills

Data Science
Machine Learning
Openrtb
Python
SQL

What you need to know about the Seattle Tech Scene

Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.

Key Facts About Seattle Tech

  • Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Amazon, Microsoft, Meta, Google
  • Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
  • Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Madrona, Fuse, Tola, Maveron
  • Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
By clicking Apply you agree to share your profile information with the hiring company.

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account