Product Data Scientist
Product Data Scientist
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Job Description
Being a Data Scientist in the Product Data Science you will play a critical role in developing the next generation of solutions we offer our clients powered by algorithms and AI and leveraging large volumes of internal data client data and third-party data.
Youll be actively participating with other team members in the overall Product creation process. You will be participating with other team members in the overall Product creation process. Youll work alongside a group of talented individuals with different areas of expertise including best in class data scientists.
On a daily basis youll be expected to:
- Read write comment maintain enhance and share legible well documented and quality computer code translated from technical specification to fulfill product requirements.
- Adapt and plan implementation of statistical and analytical models (including ML/AI approaches) to production platform guiding their integration with other production processes.
- Maintain data integrity and quality throughout the development lifecycle.
- Actively participate in Agile workflows with the broader team which inc
Qualifications :
- Bachelors or Masters degree in Computer Science Data Science Statistics Mathematics Engineering or related field requiring outstanding analytical expertise and strong technical background
- 3 years of experience in data science/analytics/software engineering related product development and/or data solutions development
- Knowledge of statistical and machine learning methodologies: Sampling theory Probability Theory Variation analysis Outlier identification techniques Regressions Classification Time series analysis Clustering Neural Networks etc.
- Ability to prototype as well as support pilot programs for R&D purposes. The primary areas include but not limited to trend analyses identifying gaps for improvements in coverage representation/sampling bias reduction indirect estimation data integration automation generalization harmonization as well as working with different data sources.
- Proficient in Python SQL Statistical packages (scipy sklearn statsmodels etc) and version control (Github).
- Proficient in English language
Preferred:
- Experience with Cloud computing ETL advanced data processing techniques (Spark pySpark Hadoop etc)
Additional Information :
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)
About NIQ
NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023 NIQ combined with GfK bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.
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Our commitment to Diversity Equity and Inclusion
NIQ is committed to reflecting the diversity of the clients communities and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce measurement and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer making decisions without regard to race color religion gender gender identity or expression sexual orientation national origin genetics disability status age marital status protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: Work :
No
Employment Type :
Full-time
Employment Type
Full-time
