Lead Data Scientist at Nielsen in New York, NY
hat will I do? In this role, you will be working to develop methodologies to enhance Nielsen's Connected TV measurement. Your primary responsibilities include:
Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows Identify root causes and solve any bugs or quality escapes Ensure detailed documentation of new methodologies, research findings, and best practices Ensure product quality, stability, and scalability by facilitating code reviews Explaining complex model-related concepts in simple terms to non-technical internal and external audiences Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices Is this for me? This role requires:
5
years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines Experience with developing and automating methodologies Mastery of Python Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3 Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines Experience with ETL frameworks like Airflow Familiarity with DevOps tools and CI/CD workflows including Git Bachelor's degree in Statistics, Data Science, Computer Science or other related field Organization and clear communication Nice to have:
Advanced degree in Statistics, Data Science, Computer Science or other related field Experience working in cloud-based environments such as Azure, AWS, or GCP Domain expertise in Digital or Television measurement
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Drive the development, testing, and implementation of new measurement methodologies, including client-focused impact assessments Build and deploy production-ready automated methodologies into functional modules, including unit tests and quality control checks while incorporating CI/CD workflows Identify root causes and solve any bugs or quality escapes Ensure detailed documentation of new methodologies, research findings, and best practices Ensure product quality, stability, and scalability by facilitating code reviews Explaining complex model-related concepts in simple terms to non-technical internal and external audiences Mentor and provide oversight to junior associates while serving as an example by sharing relevant best practices Is this for me? This role requires:
5
years of professional work experience in Statistics, Data Science, Computer Science, and/or related disciplines Experience with developing and automating methodologies Mastery of Python Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3 Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines Experience with ETL frameworks like Airflow Familiarity with DevOps tools and CI/CD workflows including Git Bachelor's degree in Statistics, Data Science, Computer Science or other related field Organization and clear communication Nice to have:
Advanced degree in Statistics, Data Science, Computer Science or other related field Experience working in cloud-based environments such as Azure, AWS, or GCP Domain expertise in Digital or Television measurement
Salary Range:
$100K -- $150K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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