Job Description
Being a Data Scientist in the Junior Data Science team, 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.
You’ll be actively participating with other team members in the overall Product creation process, working alongside talented individuals with different areas of expertise, including best-in-class data scientists.
On a daily basis you’ll be expected to:
Read, write, comment, maintain, enhance, and share legible, well‑documented, and quality computer code translated from technical specifications to fulfill product requirements.
Adapt and plan the implementation of statistical and analytical models (including ML/AI approaches) to the 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.
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, including trend analyses, identifying gaps for improvements in coverage, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, harmonization and 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, and advanced data processing techniques (Spark, PySpark, Hadoop, etc).
Additional Information
$2,000.00 - $4,000.00 BRL monthly salary.
Flexible working environment.
Volunteer time off.
LinkedIn Learning.
Employee‑Assistance‑Program (EAP).
Benefits
Flexible working environment.
Volunteer time off.
LinkedIn Learning.
Employee‑Assistance‑Program (EAP).
About NIQ
NIQ is the world’s 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 insights—delivered with advanced analytics through state‑of‑the‑art platforms—NIQ delivers the Full View™.
Seniority level
Mid‑Senior level
Employment type
Full‑time
Job function
General Business
Industries
Market Research
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.
Non‑Discrimination Statement
NIQ is 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.
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