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Senior Data Scientist Product · Remote - Brazil, Remote - US · Fully Remote

Lucid

Lucid

Product, Data Science
Remote
Posted on Saturday, September 9, 2023
Product · Remote - Brazil, Remote - US · Fully Remote

Senior Data Scientist

Who We Are

Cint is a global software leader in technology-enabled insights. The Cint platform automates the insights gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has the one of the world’s largest consumer networks for digital survey-based research, made up of over 160 million engaged respondents across more than 130 countries. Over 3,200 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth.

The Opportunity

As a Senior Data Scientist at Cint you will have the opportunity to collaborate with product and engineering teams to work on media measurement products. This includes data analysis, product/data validation, designing anddeveloping statistical and machine learning based methodlogies. The right candidate has the ability to independently research, develop and maintain products that align Cint capabilities with market claims.

    What You Will Do

    • Lead research, discovery and development phase for new and existing products. The primary areas include: survey design, measurement methods, optimized recruiment
    • Independently and confidently carry out project planning, development and maintenance - end to end with minimum supervision.
    • Analyze large and diverse datasets to extract impactful insights that can drive product strategy.
    • Collaborate with cross-functional teams to design, implement, and test new and existing products - develop and maintain statistical and maching learning methods.
    • Ongoing evaluation and validation of both internal and external products to ensure Cint’s success.
    • Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

    What We Are Looking For

    • Must have minimum 3-5 years working experience in data science capacity.
    • Must have a minimum Master's degree or equivalent in Statistics, Quantitative Sciences, Data Science, Operations Research or other quantitative fields.
    • Ability to manipulate, analyze, and interpret large data sources independently.
    • Deep understanding of advanced statistical techniques and concepts (e.g. properties of distributions, hypothesis testing, parametric/non-parametric tests, survey design, sampling theory, experimental design, regression/predictive modeling, causal inference and more).
    • Strong Knowledge of a variety of machine learning techniques (clustering, regression, decision-trees etc) and their real-world advantages/drawbacks.
    • Must have working knowledge in application of statistical and modeling techniques.
    • Comfortable in researching and learning new methods, tools and techniques.
    • Must be able to independently and confidently carry out projects end to end with minimum supervision.
    • Proficient in Python (as statistical and ML package tools).
    • Proficient in SQL and working with large-scale databases.

    Bonus Points If You Have

    • Experience in media measurement and digital attribution
    • Experience in multivariate testing
    • Experience in online survey methodologies
    • Experience employing causal inference methods
    • Experience working with big data technologies (e.g. Spark)

    Anticipated Salary Range (US Only):

    In California, Colorado, New York City and Washington, the anticipated pay range for this role is $150,000 to $160,000 annually. 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


    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)

    Department
    Product
    Role
    Data Science & Analytics
    Locations
    Remote - Brazil, Remote - US
    Remote status
    Fully Remote

    16200-006 State of São Paulo

    Directions

    Cint USA Inc.

    10016 New York

    Directions View page

    About Cint

    Cint is a global software leader in technology-enabled insights. The Cint platform automates the insights gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has the one of the world’s largest consumer networks for digital survey-based research, made up of over 160 million engaged respondents across more than 130 countries. Over 3,200 insights-driven companies use Cint to accelerate how they gather consumer insights and supercharge business growth.

    Founded in 1998
    Coworkers 1000+
    Product · Remote - Brazil, Remote - US · Fully Remote

    Senior Data Scientist

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