Senior Data Scientist

NielsenIQ; Warszawa; On-site; PLN 204,000 - 15,470,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ is seeking a Senior Data Scientist within the Data Science Methods team to help define new products and methods for retail measurement and automation of statistical procedures.

The role involves prototyping data processing solutions, performing trend and multivariate analyses, bias reduction, and data integration, with collaboration across Developers and Data Scientists to deliver scalable, well-documented methodologies.

Qualifications

• 3+ years of relevant work experience.
• Experience with trend analyses, multivariate statistics, sampling, optimization, bias reduction, indirect estimation, data aggregation.
• Proficient in Python with Pandas, NumPy and Scikit-Learn.
• Good data visualization skills and ability to create clear charts.

Responsibilities

• Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs.
• Prototype solutions and pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.
• Test-driven development of scalable data processing applications.
• Deliver documentation of new methodologies and best practices.
• Collaborate with an experienced team of Developers and Data Scientists.
• Support various Operations team as main users of our solutions.
• Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.
• Participate in multiple projects simultaneously.

Skills

Data analysis

Python programming

Statistical methods

Data visualization

Big data processing

Education

Advanced degree in statistics/related field

Tools

Pandas

NumPy

Scikit-Learn

Apache Spark

Polars

Job description

• Career Site Team: Data Science & Business Intelligence
• Compensation: PLN 204,000 - PLN 15,470,000 - yearly

Job Description

Job Purpose: As a Senior Data Scientist within the Data Science Methods team in the NIQ Product organization, you will help define and support development of new products and methods and improvement initiatives. This position focuses on innovation in data processing methods for retail measurement and automation of existing statistical procedures.

Job Responsibilities:

Support definition and execution of analyses targeting innovation initiatives, development and implementation of methodologies, standards, and KPIs.

Prototype solutions and support pilot programs for R&D purposes, including trend analyses, representation/sampling, bias reduction, indirect estimation, data integration, automation, and generalization.

Test-driven development of scalable data processing applications.

Deliver documentation of new methodologies and best practices.

Collaborate with an experienced team of Developers and Data Scientists.

Support various Operations team as main users of our solutions.

Engage with stakeholders on scope, execution, data exchange, and outcomes for assigned projects.

Participate in multiple projects simultaneously.

Qualifications

B.S., Masters, or PhD degree in Statistics, Mathematics, Social Science, Operation Research, or other hard sciences (e.g., Engineering, Computer Science, Biology, Physics, etc.) with outstanding analytical expertise and strong technical skills.

At least 3 years of relevant work experience.

Experience in trend analyses, multivariate statistics (parametric/non-parametric), sampling, optimization, bias reduction, indirect estimation, data aggregation techniques, automation, and generalization.

Good data visualization skills - ability to create clear and compelling charts and graphs.

Proficient in Python programming language including data analysis and statistical packages (Pandas, Polars, NumPy, Scikit-Learn). Familiarity with Python standard library, especially unittest and argparse modules.

Experience with Apache Spark or other big data processing solutions.

Additional Information

• Flexible working environment
• Volunteer time off

All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.