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Data Scientist

  • Job
    Full-time
    Mid & Senior Level
  • Science
    Data
  • New York

AI generated summary

  • You need a PhD or master's in a quantitative field, 3-5 years of ML experience, strong SQL and Python/R skills, and a passion for data, along with end-to-end ML system ownership.
  • You will enhance IVT detection, develop automated systems, collaborate with teams on fraud strategies, integrate solutions, and address internal and client incidents.

Requirements

  • PhD or masters in a quantitative discipline (e.g., mathematics, statistics, computer science, physics, economics, computational neuroscience)
  • 3-5 years experience solving analytical problems using quantitative approaches and ML methods in a business environment
  • Practical experience building ML systems, ideally using weak supervision and automated data labeling. End-to-end ownership of your work: from prototyping, debugging, evaluation, optimization, production deployment, to live monitoring
  • Knowledge of cutting edge research in ML applications and deep learning
  • Capable of using SQL to answer key data questions at the drop of a hat
  • Expertise in standard scripting languages used in data science for statistical computation: Python, R
  • Enthusiasm for telling stories with data, deep understanding of how data works and flows through systems to produce business outcomes
  • An innate curiosity about data problems, strongly held commitment to getting to the bottom of things
  • A love of science, the scientific method, and faith in your fellow practitioners in the scientific trade

Responsibilities

  • Drive innovative research within the data science fraud team, improve the accuracy and increase the scope of our IVT (invalid traffic) detection capabilities in web, mobile, CTV, gaming, social media etc.
  • Collaborate with the Threat Lab, understand the nature of evolving fraud schemes and invent creative, quantitative solutions to identify and stop them
  • Develop automated IVT detection systems based on science, data, and ML applications. Communicate the value they add to multiple stakeholders across the organization, socialize the predictive power and business value of data-driven ML
  • Join a team of highly motivated ML researchers and developers, own projects from end-to-end, while collaborating with team members, learning, mentoring, contributing to the collective impact data science has on the IAS business
  • Collaborate with engineers to integrate fraud solutions within larger engineering workflows
  • Respond to internal and client-facing incidents as they arise

FAQs

What is the job title for this position?

The job title is Senior Data Scientist on the Fraud Team.

What type of company is Integral Ad Science (IAS)?

IAS is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry.

What are the primary responsibilities of the Senior Data Scientist on the Fraud Team?

The primary responsibilities include driving innovative research to improve IVT detection capabilities, collaborating with the Threat Lab, developing automated IVT detection systems, owning projects from end-to-end, collaborating with engineers, and responding to incidents.

What minimum educational qualifications are required for this position?

A PhD or master's degree in a quantitative discipline such as mathematics, statistics, computer science, physics, economics, or computational neuroscience is required.

How many years of experience in a business environment are expected for applicants?

Applicants should have 3-5 years of experience solving analytical problems using quantitative approaches and ML methods in a business environment.

Is knowledge of SQL necessary for this role?

Yes, applicants should be capable of using SQL to answer key data questions.

Which programming languages should candidates be proficient in?

Candidates should have expertise in standard scripting languages used in data science for statistical computation, specifically Python and R.

What is the salary range for this position specifically for New York applicants?

The salary range for this position in New York is $88,900 - $152,400, and actual pay may vary based on experience or geographic location.

What types of backgrounds do team members at IAS come from?

Team members come from diverse backgrounds, including ML, mathematics, physics, biology, neuroscience, computer science, finance, and economics.

Does IAS support diversity and inclusion in its hiring process?

Yes, IAS is committed to diversity and inclusiveness and encourages applications from women, people of color, members of the LGBTQIA community, people with disabilities, and veterans.

What does IAS mean by "end-to-end ownership" of work?

End-to-end ownership means that candidates will be responsible for their work from prototyping and debugging to evaluation, optimization, production deployment, and live monitoring.

Are there opportunities for learning and mentoring within the team?

Yes, there are opportunities for collaboration, learning, and mentoring within the team, as it emphasizes high-quality scientific research and collective impact.

What is the company's mission?

IAS’s mission is to be the global benchmark for trust and transparency in digital media quality.

Where can I find more information about IAS?

More information about IAS can be found on their website at http://integralads.com.

How does IAS handle unsolicited resumes from agencies or third party recruiters?

IAS does not accept unsolicited resumes or candidate profiles from agencies or third-party recruiters. Interested partners should contact IAS through the provided email for potential partnership.

Integral Ad Science is a global leader in digital media quality.

Marketing & Advertising
Industry
501-1000
Employees
2009
Founded Year

Mission & Purpose

Integral Ad Science (IAS) is a company that specializes in providing digital advertising verification and optimisation solutions. They offer a comprehensive suite of tools and technologies that enable advertisers and publishers to ensure the quality, safety, and effectiveness of their digital advertising campaigns. IAS's ultimate mission is to create a transparent and trustworthy digital advertising ecosystem by combating fraud, ensuring brand safety, and maximising ad viewability and effectiveness. Their purpose lies in providing advertisers and publishers with the data-driven insights and tools they need to make informed decisions, optimise their ad placements, and protect their brands from fraudulent and non-compliant activities. Through their innovative technology and partnerships, IAS aims to drive accountability, improve ad experiences, and foster a sustainable and reliable digital advertising environment for all stakeholders involved.

Culture & Values

  • We Innovate

    We build cool stuff. Innovation is at the core of what we do. We build products, deliver solutions, and generate ideas that provide valuable functions for our customers.

  • We are Accountable

    We hold ourselves and each other accountable for our conduct with teammates and our customers. We take full ownership for our deliverables.

  • We are One Team

    We value and rely on each other. We are inclusive. We show up for each other, and we act with empathy and consideration for the benefit of the team. None of us succeeds if our team doesn’t succeed. So, we never say “that’s not my job.” #WeAreOneTeam

  • We Do The Right Thing

    We value and rely on each other. We are inclusive. We show up for each other, and we act with empathy and consideration for the benefit of the team. None of us succeeds if our team doesn’t succeed. So, we never say “that’s not my job.” #WeAreOneTeam

  • We are Customer Obsessed

    We put the customer front and center of everything that we do. Our customers’ success is our success

  • We Have a Bias For Action

    Speed matters in business. We move at high velocity and we privilege risk-taking.

Benefits

  • Healthcare

    Comprehensive health insurance

  • Flexible PTO

    Take what you need, when you need it

  • Retirement

    401k match in the U.S., country-specific pension plans

  • Parental Leave

    Full maternity and paternity leave

  • Community

    Volunteer opportunities

  • Celebrating Team Players

    Peer-nominated awards

  • Meals and Snacks

    Stocked kitchens to fuel your day

  • Team Events

    Frequent happy hours, parties, and outings