Senior Data Scientist
New York, NY 10001
Location: New York, NY
Salary: $130,000 - 150,000
Contact: Paul Chatlos, [email protected]
Senior Data Scientist About The Opportunity
-The Reputation Data Scientist will work to connect together digital, media, audience, primary research and business performance data sets.
-You will be a critical part of establishing which methodological, statistical and analytical approaches to use across our core problem sets.
-You will design end-to-end analytics solutions for our corporate and organizational clients.
Senior Data Scientist Job Description
-Extract, clean and process data that meets the 4 "V's" of big data: it is Voluminous and Varied, and it has Velocity and Veracity.
-Build complex statistical models and algorithms and use machine learning to solve difficult problems. For example, you will be building optimizers, recommenders, classifiers, and predictive models.
-Develop and implement data products to help clients identify the ideal communications mix strategy based on an ever-changing set of circumstances.
-Visualize complex data sets and analyses both as fixed images and as interactive graphics.
-Identify and evaluate new data sources. We are constantly looking for new data sets to add to our system. You will be critical to figuring out what data sets to add and how to integrate them.
-Conduct surveys. As part of our process we frequently run multi-mode surveys, and you will be expected to analyze the results and integrate these data and findings into our systems.
Senior Data Scientist Qualifications & Skills
-Master's degree in statistics, machine learning, physics, computer science, or a Bachelor's degree and outstanding work experience
-Up to 5 years' experience of working in analytical environments
-Experience working with social media data, earned media data, financial data, survey data
-Expertise in analytical tools such as R/MATLAB/SAS/Stata
-Experience in scripting languages such as Python/Ruby/PHP etc.
-Experience with relational databases and usage of SQL
-Experience in Big data technologies (Hadoop, HIVE, PIG, Spark etc.) and unstructured data
-Experience with Object Orientated programming via Java/C++
-Experience with business intelligence tools such as Alteryx, KNIME, RapidMiner, Tableau, or Spotfire.
-Experience with survey methodology
-Experience with experimental methods
-Experience working with messy, imprecise, and approximate data.
-Experience stitching together disparate data sets.
-Experience using applied statistics with large, complicated datasets
-Experience manipulating large volume, high frequency data for analytical purposes using Big Data platforms
-Deep knowledge of modern data-mining, machine learning and statistical methods