Senior Product Data Scientist at Lucid (Remote)

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Lucid (a Cint Group company) is a research technology platform that provides programmatic access to first-party data. With respondents in more than 100 countries, Lucid enables anyone, in any industry, to survey online audiences and get the answers they need. These answers reveal the sentiments, motivations, and behaviors of target demographics – data that can be used to build business strategies, measure the impact of digital advertising, publish research, and more. Founded in 2010, Lucid is headquartered in New Orleans, LA with offices throughout the US, Europe, and Asia.


As a Senior Data Scientist at Lucid you will have the opportunity to collaborate with product and engineering teams to work on survey design and measurement, identity resolution, trust & safety and more. This includes product analyses, validation and establishing statistical methodology and modeling standards and development. The right candidate has the ability to independently research, develop and maintain products that align Lucid capabilities with market claims.

This role is open to candidates living in the United States to work remotely or from one of our US-based office locations (New Orleans, Dallas, New York)

The ideal candidate for this role will have 3-5+ years of hands-on professional data science experience

#LI-Remote
#LI-AV2

Responsibilites

  • Lead research, discovery and development phase for new and existing products. The primary areas include: identity, outlier detection, survey design and measurements, conversions, feasibility and funnel optimization.
  • Independently and confidently carry out project planning, development and maintenance - end to end with minimum or no 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 modeling and methodologies. 
  • Ongoing evaluation and validation of both internal and external products to ensure Lucid’s success.
  • Communicate insights and recommendations through visualizations and presentations that will resonate with a wide range of audiences.

Qualifications

  • 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 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 or no supervision.
  • Proficient in Python (as statistical and ML package tools). 
  • Proficient in SQL and working with large-scale databases.

Nice to have

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

Lucid's Hiring Commitment

We understand that many candidates may not be perfectly qualified for a job posting. Experience comes in different forms; many skills are transferable – and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to thrive in a dynamic, collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is near the desired qualifications.

We also know that diversity of background and thought can enhance problem-solving and encourage more creative thinking, which is why we're dedicated to adding new perspectives to the team.

At Lucid we foster a collaborative and inspiring workplace. We pride ourselves in doing this by recruiting, hiring and retaining diverse, passionate, and forward-thinking talent. Lucid is committed to and encourages an inclusive environment and we are dedicated to providing equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.

More about Cint

Cint is a global software leader in digital insights gathering. The Cint platform automates the insights gathering process so that companies can gain access to insights faster with unparalleled scale. Cint has the world’s largest consumer network for digital survey-based research, made up of over 155 million engaged respondents across more than 130 countries.

Over 2,900 insights-driven companies - including SurveyMonkey, Zappi, Kantar and GfK - use Cint to accelerate how they gather consumer insights and supercharge business growth. Cint Group AB (publ), listed on Nasdaq Stockholm, has a rapidly growing team across 14 global offices, including Stockholm, London, New York, Singapore, Tokyo and Sydney. (www.cint.com)

More Information on Lucid
Lucid operates in the Software industry. The company is located in Chicago, IL, New York, NY and Plano, TX. Lucid was founded in 2010. It has 520 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 4 open jobs at Lucid, click here.
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