10 days old

Associate Data Scientist - Akamai

Cambridge, Massachusetts

About The Team

The Sales, Finance and Business Operations teams manage operational aspects of Akamai's product and go to market organizations. These include such activities as revenue and productivity planning, reporting and analyzing key performance metrics, to developing processes within the organization to drive efficiency gains. The Advanced Analytics team is responsible for predictive models that support sales and marketing initiatives.


About The Job

Akamai is growing fast, and so is the volume of data we manage. We need someone with the experience to apply sophisticated data analysis techniques in our fast-changing, entrepreneurial environment. If you love being the detective, analyzing business problems, predicting the future, eliminating the status quo, and testing whether your hypotheses were right, then this role is full of opportunity for you.

This scientist will work closely with IT, Network Engineers, Finance, Marketing, and Sales analyzing hierarchical data, predicting and optimizing sales, and determining the best marketing and sales plays and when to launch those plays. This position involves using and creating APIs to funnel model output into automated CRM and marketing systems, both behind the firewall and in the cloud. A successful scientist in this role will know how to connect and leverage existing, but disparate, data inside and outside of Akamai. An outstanding scientist will see what they are missing, creating and testing out new solutions – including getting your hands dirty, cleaning data to reveal patterns.

If you enjoy taking a business problem and turning it into actionable output into a system for others to act on and use, then you’ll like this job. This really isn’t a job for the faint of heart – you must be persistent – you must be someone that never surrenders and never retreats; someone with a “relentless forward motion…Thrilled by small victories, undeterred by setbacks” until finally reaching your goal. Only the goal is a machine learning model, API, JSON, or csv file



  • Translate jargon into English
  • Take initiative to keep up with developments in the field of data science and to independently learn on the job.
  • Help business leaders in Sales, Marketing, Product, and format Operations formulate critical questions that may be answered through statistical analysis, machine learning and linear programming.
  • Scope out, create, deliver and implement analyses and predictive models on time
  • Use critical thinking skills to define and validate ambiguous business objectives and concepts such as customer lifetime value


Basic Qualifications

  • Ph.D. in the Social Sciences (e.g., Economics, Cognitive or Social Psychology), Physics, Chemistry.
  • or
  • 2 years experience and a Masters in Statistics, Operations Research, or Industrial Engineering with some hands-on experience conducting statistical analyses, including developing and implementing predictive models; experience with SQL, Linux (PostgreSQL, Oracle, SQL Server), R (R Studio and command line) feature engineering, dimensionality reduction, unsupervised and supervised learning, including random forests, GBM/xgboost, linear and non-linear regression; experience manipulating and cleaning up data


Desired Qualifications

  • Demonstrated experience in evaluating and implementing new data sources and analytical solutions
  • Independent and critical thinker
  • Ability to work directly with diverse people of different backgrounds
  • Strong problem solving skills when faced with disparate data sets
  • Strong oral communication skills and ability to present analytical results to a non-technical audience
  • Demonstrated experience communicating insights from complex data to non-technical audiences Experience creating and deploying models determining propensity to buy, next best offer, and customer lifetime value
  • Experience in NLP, sparklyr or sparkR, rsparkling, H2O, Git, Docker
  • Data visualization using ggplot, plotly or Shiny
  • R Studio Server & Connect
  • Experience in creating APIs using R and deploying models in Marketo and Salesforce.
  • Knowledge of Excel, Access, and PowerPoint
  • Knowledge of MS-DOS
  • Experience with extracting and parsing unstructured data (e.g., XML, JSON).
  • Experience in the high-tech industry.
  • Demonstrated experience and success in working with cross-functional teams (especially IT, sales, services, marketing, finance, and customer support)


  • Data Analytics
  • Data Scientist
  • Business Intelligence

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Associate Data Scientist - Akamai

Akamai Technologies
Cambridge, Massachusetts

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Akamai Technologies
Cambridge, Massachusetts

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