Lead Data Scientist - Total Audience Measurement at Nielsen in Oldsmar, FL
What will I do ? Create, maintain, and support robust methodology such as machine learning or other statistical methods. Deliver datasets to support production systems and supports implementation validations, upholding high standards and best practices. Lead pipeline prototyping as well as supporting pilot programs for R&D purposes. The primary areas include - but not limited to - data integration, automation, generalization, harmonization as well as working with different data sources. Work with cross-functional teams to design, implement, and test new total audience measurement methodologies. Assist in the design and testing of data collection methodologies for Nielsen total audience products. Provide research support for the identification and implementation of methods and best practices to improve methodology implementation. Is this for me? Must Have experience building ML Models into Production, as well as, scaling. 3
years of experience in a data science or data engineering role Bachelors degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.) with outstanding analytical expertise and strong technical leadership Proficient in Python or other general purpose programming languages, or other statistical/data processing packages, or Airflow management tools Proficient in the PyData stack or other machine learning, statistics, and data processing packages Familiar with working in Unix-based and cloud environments. Expert in SQL and working relational database management systems (RDBMS) Familiar with data airflow, data aggregation techniques, automation or generalization Preferred Proficient in pyspark or other big data processing languages Advanced degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.). Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations. Domain expert in at least one area:
Demography, Sampling, Statistics Modeling, Research Practices, Data Integration and/or Digital/TV measurement techniques
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
years of experience in a data science or data engineering role Bachelors degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.) with outstanding analytical expertise and strong technical leadership Proficient in Python or other general purpose programming languages, or other statistical/data processing packages, or Airflow management tools Proficient in the PyData stack or other machine learning, statistics, and data processing packages Familiar with working in Unix-based and cloud environments. Expert in SQL and working relational database management systems (RDBMS) Familiar with data airflow, data aggregation techniques, automation or generalization Preferred Proficient in pyspark or other big data processing languages Advanced degree in Data Science, Computer Science, Information Systems, Statistics, Social Science, Operation Research, or other hard sciences (e.g. Engineering, Computer Science, Biology, Physics etc.). Demonstrates experience in Nielsen methodologies, data collection, platforms, research processes and operations. Domain expert in at least one area:
Demography, Sampling, Statistics Modeling, Research Practices, Data Integration and/or Digital/TV measurement techniques
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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