Deep knowledge of numerical and statistical packages (Pandas, Numpy, Sklearn, R)
Bayesian dynamic time series model to estimate the causal impact of an advertising campaign on sales
Model the complex interactions between system architecture components to refactor and rethink key components and models in an advertising system.
Develop algorithms to optimize the setting of every lever in our advertising infrastructure.
Analyze data to better understand how a neighborhood’s consumption of web pages correlates with visits to a local big box store.
Build a time series model to forecast future sales of diapers for one of our clients.
Model the effects of environmental changes on promotion effectiveness with multiple regression.

Write complex database queries using distributed computing frameworks: MapReduce, Hadoop, Impala and Spark to establish links between large datasets in order to…
Find the handful of outliers in billions of transactions.
Evaluate competing bidding models
Feed data into your latest ensemble model aimed at maximizing the return on a client’s online advertising budget.

Provide technical leadership to …
Mentor other data scientists in algorithms, models, tools, and products that make the team more efficient.
Participate in planning, roadmap, and architecture discussions to help evolve our data science into revenue-generating products.
Engage in code and model reviews to continually raise the bar on our work.
Draw data flows and architecture designs on the white board to encourage understanding and cohesive development towards your solution.
Meet with customers and help map business needs into product requirements.
6 to 9+ years of experience, preferably at small- to mid-sized software development companies or startups
Advanced degree in a relevant, quantitative field (e.g. mathematics, statistics, econometrics, operations research, etc.)
Ability to mentor and guide team members of varying experience levels through data science, product and software development life cycles

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