Senior Data Scientist (Multiple Openings)-01273
Oldsmar, FL
Nielsen
A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.In this role, you will be responsible for:Support analyses for Data Science teams, including custom requests, client inquiries, impact of changing methodologies, and standards and best practices. Write custom Python and SQL code. Apply knowledge of National TV Nielsen, with a focus on weighting, computations, and enhanced methodologies. Apply expertise in the flow of Big Data through Nielsen systems in order to create reliable data views that will feed into client inquiry processes. Work with cross-functional teams to implement and validate enhanced audience measurement methodologies. Examine analysis specifications for completeness, determine how to execute the analysis with available data, modify specifications as needed, provide an estimated delivery date, and accurately deliver analyses on time with a summary of the key insights. Collaboratively create and manage projects from beginning to end, including developing the analytical plan, running analyses, and summarizing results, while effectively managing expectations with key stakeholders. Respond to client inquiries. Oversee and mentor (without supervisory authority) junior Data Scientists and Analysts. Involves the opportunity to telecommute from within the Oldsmar, FL area, up to 3 days per week, as feasible. Involves domestic travel, 1 to 2x/year, for up to 3 days/trip. Tools used include: Databricks, Python, SQL, Pyspark, Airflow, Intelligence Studio, Gitlab, Hadoop, Hive and AWS (Amazon Web Services). FOR THIS ROLE, WE ARE LOOKING FOR INDIVIDUALS THAT HAVE: Minimum Requirements: Master’s degree in Statistics, Mathematics, Operations Research, Computer Science or a related field with a strong quantitative focus plus 2 years of experience in data science. This must include 1 year of experience in/with: Python programming, including scikit-learn, scipy, statsmodels, numpy, and pandas; large-scale data processing via SQL, including advanced window functions; data manipulation, integration, aggregation techniques, and automation; quantitative research and statistical analysis including sampling, statistical inference, hypothesis testing, and variance estimation; supervised machine learning techniques, including regression, feature selection, and/or regularization (ridge and/or lasso); and analytics, including trend analysis, pattern recognition, and/or quality assurance. Must be willing to travel domestically, 1 to 2 times per year, for up to 3 days per trip. ABOUT NIELSEN Nielsen is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. #LI-DNI #IND-DNS
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow AWS Big Data Computer Science Databricks GitLab Hadoop Machine Learning Mathematics NumPy Pandas PySpark Python Research Scikit-learn SciPy SQL Statistics statsmodels Testing
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