Who We Are

Cint is a pioneer in research technology (ResTech). Our customers use the Cint platform to post questions and get answers from real people to build business strategies, confidently publish research, accurately measure the impact of digital advertising, and more. The Cint platform is built on a programmatic marketplace, which is the world’s largest, with nearly 300 million respondents in over 150 countries who consent to sharing their opinions, motivations, and behaviours.

We are feeding the world’s curiosity!

Role Overview

As a Staff Data Scientist at Cint, you will lead advanced analytics and data science initiatives for Data Solutions and Media Measurement product lines. This role involves using statistical modeling, machine learning, large language models and advanced data analysis techniques. Ultimately, you will be accountable for developing and maintaining research methods that align Cint capabilities with market claims and industry standards of measurement. The ideal candidate will possess strong technical and thought leadership skills and will be comfortable working cross-functionally with product, engineers, and business stakeholders.

Key Responsibilities:

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

• Collaborates 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.

• Independently 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 updated with the latest industry trends and emerging methodologies in media measurement and data science.

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

Qualifications:

• Advanced degree (Ph.D. or Master's) in a quantitative field such as Data Science, Statistics, Mathematics, Economics, or Computer Science with outstanding analytical expertise

• + 4 years focused on media measurement, marketing analytics, or advertising.

• 10+ years of experience in data science, analytics, or related fields, with at least 4 years focused on media measurement, marketing analytics, or advertising.

  • Proven track record in leading large-scale data science projects, mentoring teams, driving strategy and delivering business impact.

• Extensive experience in advanced statistical techniques and concepts 

  • e.g., multivariate (parametric/ non-parametric) testing, sampling theory, weighting/projection, experimental design, regression/predictive modeling, causal inference techniques 

• Strong programming skills in Python (as statistical and ML package tools) 

• Proven expertise in advanced Python prototyping

• Proficiency with machine learning libraries (e.g., scikit-learn, TensorFlow, PyTorch) and techniques (e.g., clustering, regression, decision-trees)

• Advanced SQL skills and familiarity with big data technologies (Spark, Hadoop, Databricks).

• Strong understanding of infrastructure cost management, particularly in relation to processing large datasets efficiently.

Preferred Qualifications:

• Experience in online survey methodologies

Personal Attributes:

• Excellent communication skills and advanced presentation skills, with the ability to explain complex technical concepts to a large technical and non-technical audience.

• Excellent interpersonal skills, able to work effectively with cross-functional teams and stakeholders.

• Strong ability to analyze complex and large data sets and extract meaningful insights.

• A genuine interest in exploring new data science methods, tools, and technologies to create and implement innovative solutions and approaches.

Anticipated Salary Range (US Only):
In California, Colorado, New York City and Washington, the anticipated pay range for this role is $167,000 to $210,000 annual base salary. This base pay range is specific to California, Colorado, New York City and Washington and may not be applicable to other locations. In addition, this position is also eligible for the following benefits:

• Medical, Dental, and Vision insurance options to suit you and your family’s needs
• 401K with company matching
• PTO, unlimited sick days
• Remote Work
• Paid maternity and paternity leave
• Annual bonus opportunity
   

#LI-Remote

#LI-JC1

Our Values

Collaboration is our superpower

• We uncover rich perspectives across the world
• Success happens together
• We deliver across borders.

Innovation is in our blood

• We’re pioneers in our industry
• Our curiosity is insatiable
• We bring the best ideas to life.

We do what we say

• We’re accountable for our work and actions
• Excellence comes as standard
• We’re open, honest and kind, always.

We are caring

• We learn from each other’s experiences
• Stop and listen; every opinion matters
• We embrace diversity, equity and inclusion.

More About Cint

In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO certified online panel community in the DACH region – and in January 2022, completed the acquisition of US-based Lucid – a programmatic research technology platform that provides access to first-party survey data in over 110 countries.

Cint Group AB (publ), listed on Nasdaq Stockholm, this growth has made Cint a strong global platform with teams across its many global offices, including Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)