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Staff Data Scientist

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Full-time Remote 3d ago

Location:

New York, NY, US

Company:

Cint is a pioneer in research technology (ResTech) supporting businesses with data-driven insights and measurement.

Summary:

The Staff Data Scientist at Cint will lead the development of advanced analytical methodologies for media measurement and data solutions. Candidates should possess an advanced degree, extensive experience in data science, and strong programming skills in Python.

Requirements:

Technology: Python, scikit-learn, TensorFlow, PyTorch, SQL

Hard Skills: advanced statistical techniques, data science methodologies

Credentials: Ph.D., Master's

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

Job Description:

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.