Lead Data Scientist
Lead Data Scientist
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Job Description
You will work with a global team dedicated to the development of new methodologies for Retail Establishment Survey & other data collection processes. We are looking for someone in our methods team to be part of these transformational initiatives to improve quality and redefine the process of RES design and Universe Estimation leveraging advanced technologies integration of data sources Machine Learning techniques statistical and data analytical skills.
You should have a passion for innovation Research & Development and challenging data opportunities!
Responsibilities
Own & lead evaluating & improvising the methodologies developed to improve quality of RES Designs and transforming Universe Estimation process.
Research new methodologies research directions and quantify their improvement
Deliver methodological enhancements improving overall quality & process efficiencies.
Work closely with different teams such as technology other Data Science teams internal stakeholders during development & deployment of new methodologies.
Prototype as well as support pilot programs to drive innovation.
Owns and maintains Data Science global methodologies and ensures they are well documented and understood.
Asks questions to engage & motivate team on seeking further understanding of data.
Reviews the progress of projects and POCs and proposes improvements and constructive critiques.
Qualifications :
Masters / Doctorate Degree in Data Science Mathematics Statistics or Engineering degree in Computer Science Data Science or related fields involving statistical analysis of large data sets
At least 5 years of relevant experience
Exhibits a solid understanding of FMCG Industry for specific core process and Advanced knowledge of RMS systems/products.
Experience in designing
Comfortable designing solutions and supporting a team to execute
Displays innovative thinking data analytical skills application of statistical techniques and encourages. experimentation in delivery of work.
Can support others to understand and apply more complicated technical principles & methodologies creating clarity and focus for teams to deliver.
Domain expert knowledge at least in one area of the following: programming statistical analysis / machine learning/deep learning time series sampling
Experienced in Python programming and working with queries and largescale databases
Able to work in virtual environment and familiar with git/Bitbucket processes
Drive to continuously learn and adopt new technologies and tools
Strong communication presentation and collaboration skills
Additional Information :
Our Benefits
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- EmployeeAssistanceProgram (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 stateoftheart 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.
For more information visit NIQ.com
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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 ActionEmployer 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 nondiscrimination 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:
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
