Senior Data Scientist – Ad Measurement Science, Ad Measurement and Data Science
Some things you’ll do in this role:
· Lead full life-cycle Data Science solutions from beginning to end.· Deliver with independence on challenging large-scale problems with complexity and ambiguity.
· Write code (Python, R, Scala, SQL, etc.) to obtain, manipulate, and analyze data.
· Build Machine Learning and statistical models to solve specific business problems.
· Retrieve, synthesize, and present critical data in a format that is immediately useful to answering specific questions or improving system performance.
· Analyze historical data to identify trends and support optimal decision making.
· Apply statistical and machine learning knowledge to specific business problems and data.
· Formalize assumptions about how our systems should work, create statistical definitions of outliers, and develop methods to systematically identify outliers. Work out why such examples are outliers and define if any actions needed.
· Given anecdotes about anomalies or generate automatic scripts to define anomalies, deep dive to explain why they happen, and identify fixes.· Build decision-making models and propose effective solutions for the business problems you define.
· Conduct written and verbal presentations to share insights to audiences of varying levels of technical sophistication.
Key job responsibilities
Dive deep into petabyte-scale data to drive insights, identify machine-learning modeling gaps and business opportunities
Establish scalable, efficient, automated processes for large-scale data analysis
Run regular A/B experiments, gather data, and perform statistical analysis
Work with applied scientists and product partners to develop new machine learning approaches, and monetization strategies
Conduct written and verbal presentation to share insights and recommendations to audiences of varying levels of technical sophistication
· Bachelor’s Degree
· 5+ years of experience with data scripting languages (e.g SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab)
· 4+ years working as a Data Scientist· Experience in as many of the following areas: causal inferencing, multi-variate testing & design, A/B testing & design, descriptive analytics, and regression analysis.· Good understanding of supervised and unsupervised learning models.
· Advanced degree in Computer Science, Mathematics, Statistics, Economics, or related quantitative field.
· Broad knowledge of ML methods, statistical analysis, and problem-solving skills.
· Expert level knowledge in statistics; sophisticated user of statistical tools.
· Experience in data applications using large scale distributed systems (e.g. EMR, Spark, Elasticsearch, Hadoop, Pig, and Hive).
· Experience processing, filtering, and presenting large quantities (hundreds of millions/billions of rows) of data
· Combination of deep technical skills and business savvy enough to interface with all levels and disciplines within our customer’s organization.
· Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment.
· Excellent verbal and written communication skills with the ability to advocate technical solutions for science, engineering, and business audiences.
· Ability to develop experimental and analytical plans for data modeling, use effective baselines, and accurately determine cause-and-effect relations.

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