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$167,200–$200,000/yr

Staff Data Scientist

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Full-time Remote 14d ago

Location:

New York, NY, US

Company:

Cint is a pioneer in research technology (ResTech), offering a platform for gathering insights from respondents across the globe.

Summary:

The Staff Data Scientist will develop advanced statistical and machine learning methods to enhance media measurement and data solutions. A Ph.D. or Master's in a quantitative field and extensive experience in data science and media measurement are required.

Requirements:

Technology: Python, SQL, Machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch)

Hard Skills: Statistical modeling, Machine learning algorithms, Data analytics

Credentials: Ph.D. or Master's degree in a quantitative field

Experience: 7+ years of experience in data science and analytics, machine learning, model development/validation, or related fields, At least 2 years focused on media measurement, marketing analytics, or advertising

Job Description:

As a Staff Data Scientist at Cint, you will be responsible for designing and developing advanced statistical and machine learning methodologies across our Media Measurement and Data Solutions product lines. You will lead high-impact initiatives, guide cross-functional collaborations, and serve as a subject matter expert on data science methodologies that support our product suite.

You are expected to work independently across multiple complex projects, help shape data science strategy, mentor and coach team members, and translate business challenges into scalable, data-driven solutions. Your work will ensure that our data science solutions are robust, scalable, and aligned with both market demands and company objectives.

Key Responsibilities:

  • Develop and deploy statistical models, machine learning algorithms, and custom analytics solutions to measure the effectiveness of media campaigns.

  • Collaborate with cross-functional teams to design, refine and automate measurement methodologies for TV, digital, social, and other media platforms.

  • Lead the research and discovery phases for both new and existing products and partner closely with engineering teams to transition prototypes into robust, scalable solutions.

  • Develop customer-facing methodology resources and thought leadership. Support business teams in explaining and defending our measurement methodologies broadly to customers.

  • Plan, develop, and manage projects from concept to completion with no supervision, ensuring timely and high-quality delivery.

  • Partner with product teams and other stakeholders to translate business needs into actionable data science initiatives.

  • Serve as a technical leader and mentor to other data scientists in the team, promoting best practices in coding, experimentation, and analytical techniques.

  • Stay up to date with the latest industry trends and emerging methodologies in media measurement and data science.

  • Communicate complex results, insights and strategic recommendations to both technical and non-technical audiences through compelling data visualizations, detailed reports and presentations.