Sr. Data Scientist at Nielsen in Chicago, IL
What will I do? Learn and become an expert in how big data flows through Nielsen systems in order to create reliable data pipelines that will feed into methodology development processes. Work with cross-functional teams to implement and validate enhanced audience measurement methodologies. Independently write custom Python and SQL code. Develop, implement, enhance, and support large-scale machine learning efforts Drive technical solutions to complex business problems - from lightweight automation to designing and building robust/scalable solutions. Strong focus on optimization. Key tasks include - but are not limited to - trend analyses, identifying methodological and process improvements, representation/sampling, bias reduction, indirect estimation, data integration, automation, generalization, examining large volumes of data, harmonization, as well as working with different data sources. Proactively gather information, as needed, to work independently and with a team. Support in detecting and addressing quality escapes. Is this for me? Bachelor's degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background Preferred Master's degree in Computer Science, Engineering, Statistics, Economics, Data Science, or other fields with a strong quantitative programming and analytical background 3-5
years of professional work experience in data analysis, software development, pipeline management, and/or related disciplines - change order Must be proficient with Python, Spark, or Scala to develop sharable software with the appropriate technical documentation. High fluency in SQL & large-scale databases Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses Experience with machine learning techniques Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical Must have the ability to work alone and with a team Must have critical thinking skills necessary to evaluate results in order to make decisions Must demonstrate intellectual curiosity and persistence to find answers Demonstrate interest in Nielsen methodologies, data collection, platforms, research processes and operations. Skills Desired:
Experience with data visualization tools Experience with machine learning techniques Experience working with cloud based or big data technologies Experience with Apache Airflow
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
years of professional work experience in data analysis, software development, pipeline management, and/or related disciplines - change order Must be proficient with Python, Spark, or Scala to develop sharable software with the appropriate technical documentation. High fluency in SQL & large-scale databases Must have ability to manipulate, analyze, interpret large data sources, and tell a story from data through analyses Experience with machine learning techniques Ability to communicate complex results and findings in a clear and concise manner to a wide range of business audiences, both technical and non-technical Must have the ability to work alone and with a team Must have critical thinking skills necessary to evaluate results in order to make decisions Must demonstrate intellectual curiosity and persistence to find answers Demonstrate interest in Nielsen methodologies, data collection, platforms, research processes and operations. Skills Desired:
Experience with data visualization tools Experience with machine learning techniques Experience working with cloud based or big data technologies Experience with Apache Airflow
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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