Firm Description
Who We Are
Cint is a pioneer in analysis expertise (ResTech). Our clients use the Cint platform to publish questions and get solutions from actual individuals to construct enterprise methods, confidently publish analysis, precisely measure the affect of digital promoting, and extra. The Cint platform is constructed on a programmatic market, which is the world’s largest, with almost 300 million respondents in over 150 nations who consent to sharing their opinions, motivations, and behaviours.
We’re feeding the world’s curiosity!
Job Description
As a Employees Knowledge Scientist at Cint, you can be answerable for designing and creating superior statistical and machine studying methodologies throughout our Media Measurement and Knowledge Options product traces. You’ll lead high-impact initiatives, information cross-functional collaborations, and function a topic professional on information science methodologies that help our product suite.
You’re anticipated to work independently throughout a number of complicated initiatives, assist form information science technique, mentor and coach crew members, and translate enterprise challenges into scalable, data-driven options. Your work will be certain that our information science options are strong, scalable, and aligned with each market calls for and firm aims.
Key Obligations:
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Develop and deploy statistical fashions, machine studying algorithms, and customized analytics options to measure the effectiveness of media campaigns.
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Collaborate with cross-functional groups to design, refine and automate measurement methodologies for TV, digital, social, and different media platforms.
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Lead the analysis and discovery phases for each new and current merchandise and companion carefully with engineering groups to transition prototypes into strong, scalable options.
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Develop customer-facing methodology sources and thought management. Help enterprise groups in explaining and defending our measurement methodologies broadly to clients.
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Plan, develop, and handle initiatives from idea to completion with no supervision, guaranteeing well timed and high-quality supply.
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Function a technical chief and mentor to different information scientists within the crew, selling finest practices in coding, experimentation, and analytical methods.
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Keep updated with the global warming trade tendencies and rising methodologies in media measurement and information science.
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Talk complicated outcomes, insights and strategic suggestions to each technical and non-technical audiences via compelling information visualizations, detailed stories and displays
{Qualifications}
{Qualifications}:
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Superior diploma (Ph.D. or Grasp’s) in a quantitative subject comparable to Knowledge Science, Statistics, Arithmetic, Operations Analysis, Economics, Pc Science, or Quantitative Sciences with excellent analytical experience
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7+ years of expertise in information science and analytics, machine studying, mannequin growth/validation, or associated fields, with a minimum of 2 years targeted on media measurement, advertising analytics, or promoting.
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Confirmed observe file in main large-scale information science initiatives, mentoring groups, driving technique and delivering enterprise affect.
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Demonstrated expertise in superior statistical methods and ideas
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e.g., properties of distributions, speculation testing, multivariate (parametric/ non-parametric) testing, sampling idea, weighting/projection, experimental design, regression/predictive modeling, causal inference methods, stochastic modeling / simulation, and extra.
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Robust programming abilities in Python (because it pertains to statistical evaluation and implementing Machine Studying fashions)
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Confirmed experience in superior Python prototyping
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Proficiency with machine studying libraries (e.g., scikit-learn, TensorFlow, PyTorch) and methods (e.g., clustering, regression, tree-based fashions)
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Superior SQL abilities and familiarity with huge information applied sciences (Spark, Hadoop, Databricks).
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Demonstrated skill to independently and confidently perform initiatives end-to-end.
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Understanding of infrastructure value administration, notably in relation to processing giant datasets effectively.
Most well-liked {Qualifications}:
Further Data
Private Attributes:
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Glorious communication abilities and superior presentation abilities, with the power to elucidate complicated technical ideas to giant technical and non-technical audiences.
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Glorious interpersonal abilities, skill to work successfully with cross-functional groups and stakeholders.
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Robust skill to research complicated and enormous information units and extract significant insights.
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A real curiosity in exploring new information science strategies, instruments, and applied sciences to create and implement progressive options and approaches.
#LI-JC1
#LI-Distant
Our Values
Collaboration is our superpower
- We uncover wealthy views the world over
- Success occurs collectively
- We ship throughout borders.
Innovation is in our blood
- We’re pioneers in our trade
- Our curiosity is insatiable
- We convey the very best concepts to life.
We do what we are saying
- We’re accountable for our work and actions
- Excellence comes as customary
- We’re open, trustworthy and sort, all the time.
We’re caring
- We study from one another’s experiences
- Cease and pay attention; each opinion issues
- We embrace variety, fairness and inclusion.
Extra About Cint
We’re proud to be recognised in Newsweek’s 2025 International Prime 100 Most Liked Workplaces®, reflecting our dedication to a tradition of belief, respect, and worker progress.
In June 2021, Cint acquired Berlin-based GapFish – the world’s largest ISO licensed on-line panel neighborhood within the DACH area – and in January 2022, accomplished the acquisition of US-based Lucid – a programmatic analysis expertise platform that gives entry to first-party survey information in over 110 nations.
Cint Group AB (publ), listed on Nasdaq Stockholm, this progress has made Cint a robust international platform with groups throughout its many international workplaces, together with Stockholm, London, New York, New Orleans, Singapore, Tokyo and Sydney. (www.cint.com)