Senior Data Scientist at Nielsen in Chicago, IL
What will I do? In this role, you'll work directly with cross-functional internal teams to design and implement new Data Science methodologies, delivering solutions that will delight our clients. You will be responsible for:
Bring an entirely new methodology from R&D to production with a focus on expanding our client support Translating all code into functional modules, including unit tests, and quality control checks Providing data-driven recommendations for promoting enhancements to production, including assisting with client-focused impact analysis Assisting with module implementation, testing, and validation Identifying root causes and solving any bugs or quality escapes Ensuring complete documentation of the new methodologies and best practices Working with cross-functional internal stakeholders to push methodology updates into product roadmap Is this for me? E=essential, P=preferred. E- 2-3
years of professional work experience Statistics, Data Science, and/or related disciplines with direct experience developing statistical and ML techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs. E- Proficient in Python E- Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3 E- Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines E- Bachelors degree in Statistics, Data Science, Computer Science or other related field P- Advanced degree in Statistics, Data Science, Computer Science or other related field P- Experience with implementing and managing software in cloud-based environments such as Azure, AWS, or GCP P- Familiarity with DevOps tools and CI/CD workflows including github and Jenkins P- Experience with ETL frameworks like Airflow P- Domain expertise in Digital or Television measurement
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
Bring an entirely new methodology from R&D to production with a focus on expanding our client support Translating all code into functional modules, including unit tests, and quality control checks Providing data-driven recommendations for promoting enhancements to production, including assisting with client-focused impact analysis Assisting with module implementation, testing, and validation Identifying root causes and solving any bugs or quality escapes Ensuring complete documentation of the new methodologies and best practices Working with cross-functional internal stakeholders to push methodology updates into product roadmap Is this for me? E=essential, P=preferred. E- 2-3
years of professional work experience Statistics, Data Science, and/or related disciplines with direct experience developing statistical and ML techniques, market research methodologies, research processes, operations as well as knowledge of the complexity of consumer businesses and client needs. E- Proficient in Python E- Experience with sophisticated data mining & modeling solutions and the tools that support them such as Scikit-learn, PyTorch, and PyMC3 E- Experience with relational and distributed database systems with expertise in tools such as Spark, Presto, and other SQL-based querying engines E- Bachelors degree in Statistics, Data Science, Computer Science or other related field P- Advanced degree in Statistics, Data Science, Computer Science or other related field P- Experience with implementing and managing software in cloud-based environments such as Azure, AWS, or GCP P- Familiarity with DevOps tools and CI/CD workflows including github and Jenkins P- Experience with ETL frameworks like Airflow P- Domain expertise in Digital or Television measurement
Salary Range:
$80K -- $100K
Minimum Qualification
Data Science & Machine LearningEstimated Salary: $20 to $28 per hour based on qualifications.
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