Staff Data Scientist

| New York, NY, USA | Hybrid
Employer Provided Salary: $135,128-$231,648 Annually
Salary data is provided by the employer. Please note this is not a guarantee of compensation.
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Integral Ad Science (IAS) is a global technology and data company that builds verification, optimization, and analytics solutions for the advertising industry and we’re looking for a Staff Data Scientist on the Data Science Team. If you are excited by technology that has the power to handle hundreds of thousands of transactions per second; collect tens of billions of events each day; and evaluate thousands of data points in real-time all while responding in just a few milliseconds, then IAS is the place for you!

As a Data Scientist at IAS, you will be part of a team that is at the center of innovation for the company and a major contributor to our core products. As part of the data science group at IAS, you will push the boundaries of applications of machine learning (ML) and deliver best-in-class solutions to serve our clients. Innovation is at the heart of our competitive advantage, and innovation starts with people and culture. You will join a group of data scientists committed to deep collaboration and high quality scientific research, ultimately producing a lasting impact on the IAS business.

The types of challenges we solve have attracted people from industry and academia with diverse backgrounds, ranging from ML, mathematics, physics, biology, neuroscience, and computer science to finance and economics. We’re passionate about maintaining an open and collaborative environment, where team members bring their own unique style of thinking and tools to the table.

What you’ll get to do:

  • Drive innovative research within the data science team, improve the accuracy and increase the scope of our multimedia content classification for targeting & avoidance in web, mobile, CTV, gaming, social media etc.
  • Collaborate with the Core Research and Innovation Teams, understand the nature of evolving trends and invent creative, quantitative solutions to address contextual targeting and avoidance needs
  • Develop automated ML 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

You should apply if you have most of this experience: 

  • 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

New York Applicants: The salary range for this position is $135,128- $231,648; actual pay may vary based on experience or geographic location.

About Integral Ad Science

Integral Ad Science (IAS) is a leading global media measurement and optimization platform that delivers the industry’s most actionable data to drive superior results for the world’s largest advertisers, publishers, and media platforms. IAS’s software provides comprehensive and enriched data that ensures ads are seen by real people in safe and suitable environments, while improving return on ad spend for advertisers and yield for publishers. Our mission is to be the global benchmark for trust and transparency in digital media quality. For more information, visit integralads.com.

Equal Opportunity Employer:

IAS is an equal opportunity employer, committed to our diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We strongly encourage women, people of color, members of the LGBTQIA community, people with disabilities and veterans to apply.

California Applicant Pre-Collection Notice:

We collect personal information (PI) from you in connection with your application for employment or engagement with IAS, including the following categories of PI: identifiers, personal records, commercial information, professional or employment or engagement information, non-public education records, and inferences drawn from your PI. We collect your PI for our purposes, including performing services and operations related to your potential employment or engagement. For additional details or if you have questions, contact us at [email protected].

To learn more about us, please visit http://integralads.com/ 

Attention agency/3rd party recruiters: IAS does not accept any unsolicited resumes or candidate profiles. If you are interested in becoming an IAS recruiting partner, please send an email introducing your company to [email protected]. We will get back to you if there's interest in a partnership.

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Technology we use

  • Engineering
  • Product
  • Sales & Marketing
    • JavaLanguages
    • JavascriptLanguages
    • KotlinLanguages
    • PythonLanguages
    • RLanguages
    • ScalaLanguages
    • SqlLanguages
    • jQueryLibraries
    • jQuery UILibraries
    • Twitter BootstrapLibraries
    • HadoopFrameworks
    • Node.jsFrameworks
    • SpringFrameworks
    • IllustratorDesign
    • InVisionDesign
    • PhotoshopDesign
    • SketchDesign
    • Aha!Management
    • ConfluenceManagement
    • JIRAManagement
    • SmartsheetManagement
    • WordpressCMS
    • InsightlyCRM
    • SalesforceCRM
    • Campaign MonitorEmail
    • MailChimpEmail
    • MarketoLead Gen

Location

12 E 49th St, New York , NY 10017

An Insider's view of Integral Ad Science

How would you describe the company’s work-life balance?

What I love about working at IAS is that everyone gives 100% at work, but everyone also respects that our lives outside work are important as well. The work-life balance at IAS is an important part of the company culture -- management recognizes that for employees to do their best work, we need the time to recharge and relax as well.

Anna

Global Agency Lead

How do you collaborate with other teams in the company?

Right from the beginning, I get everyone involved. I establish a space where we can get to know each other and our specific goals, and I keep people aware and engaged through transparent communication, clear timelines, & consistent check-ins. Ultimately, I see each project as an opportunity to foster a collaborative cross-functional culture at IAS.

Farhana

Lead UX Researcher

What makes someone successful on your team?

Possessing both the desire to grok how complex things work and the diligence to pursue that trail of understanding are the key attributes I see in individuals who do really well on my team.

Amy

Vice President, CTV Strategy

How do your team's ideas influence the company's direction?

Data scientists are part of every step of the innovation cycle: we discuss needs with the product and leadership teams, we explore unknown data patterns, we prototype new solutions, and work with engineering in putting these new solutions in production.

Mattia

Data Science Senior Manager

How do you make yourself accessible to the rest of the team?

It's more important than ever to have open channels of communication. We hold weekly virtual town halls where we keep everyone updated on important company news, but more importantly, open our leadership team up for questions. We have several open Slack channels where the team can ask about anything - from my US Open picks to our latest policies.

Lisa

Chief Executive Officer

What are Integral Ad Science Perks + Benefits

Integral Ad Science Benefits Overview

We want our employees to stay happy, healthy, and inspired. At IAS, we offer unlimited PTO, comprehensive health insurance, employer 401k match, and much more - from an employee volunteer program to happy hours and snacks in the office.

Culture
Volunteer in local community
Partners with nonprofits
Open door policy
OKR operational model
Team based strategic planning
Pair programming
Open office floor plan
Employee resource groups
Hybrid work model
In-person all-hands meetings
In-person revenue kickoff
Summer hours
Employee awards
Flexible work schedule
Remote work program
Diversity
Dedicated diversity and inclusion staff
Highly diverse management team
Mandated unconscious bias training
Mean gender pay gap below 10%
Diversity employee resource groups
Hiring practices that promote diversity
Diversity recruitment program
Health Insurance & Wellness Benefits
Flexible Spending Account (FSA)
Disability insurance
Dental insurance
Vision insurance
Health insurance
Life insurance
Pet insurance
Wellness programs
Mental health benefits
Transgender health care benefits
Abortion travel benefits
Financial & Retirement
401(K)
401(K) matching
Company equity
Employee stock purchase plan
Performance bonus
Charitable contribution matching
Child Care & Parental Leave Benefits
Childcare benefits
Generous parental leave
Family medical leave
Fertility benefits
Vacation & Time Off Benefits
Unlimited vacation policy
Generous PTO
Paid volunteer time
Paid holidays
Paid sick days
Flexible time off
Bereavement leave benefits
Office Perks
Commuter benefits
Company-sponsored outings
Free snacks and drinks
Some meals provided
Company-sponsored happy hours
Recreational clubs
Fitness stipend
Meditation space
Professional Development Benefits
Lunch and learns
Promote from within
Mentorship program
Our mentorship program includes ___.Our mentorship is part of our Manager Program and Internship Program.
Continuing education available during work hours
Online course subscriptions available
Customized development tracks

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