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Marketplace Data Scientist Job (Cambridge, MA, US)

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Location:Cambridge, MA, USPosted Date:2016-03-10 00:00:00.0
Category:Program ManagementID:49539

Overview:

About the Job:
Product Operations is seeking an experienced senior data scientist to support the product operations organization. The senior data scientist will work with the sr. director of product operations and product managers across business units to support market analysis, product performance, and defining guided selling algorithms. Central to this role will be the translation of large, semi-structured datasets into predictive mathematical or statistical models.

About the Team:
The Akamai Web Division is a team of industry leading professionals dedicated to owning and driving the innovation of digital web, application and site acceleration for our customers. Product Operations manages all aspects of the product lifecycle as well as the coordination and delivery of key cross-organizational Strategic Programs. This includes the program definition, prioritization, planning processes, business metrics, and ongoing delivery for these initiatives.

Responsibilities:

- Architect and implement scalable and robust algorithms for an online marketplace and guided selling solution
- Develop mathematical and statistical models for predicting product upsell, and cross sell opportunities as well as time to provision
- Conduct data mining and analysis to uncover trends and correlations to better predict business results
- Analyze customer usage trends to help shape product development strategy
- Translate mathematical results into business impact through effective communication of actionable results to both technical and non-technical stakeholders
- Identify data gaps and new data sources

Qualifications:

Basic Qualifications
- Education: Masters Degree in Mathematics, Economics, Statistics, Finance, Computer Science, Engineering, or Business Management
- 8+ years of overall experience
- 5+ years of experience with machine learning algorithms, regression, advanced statistical analysis, and mathematical optimization
- 5+ years of experience with R, Python and SQL
Desired Qualifications
- PhD in quantitative discipline such as Statistics, Math, Engineering, Physical Sciences, Computer Science or equivalent
- Demonstrated success presenting complex findings in a clear and compelling story that inspires action
- Curiosity and passion for continuous learning
- 3+ years of industry experience in a relevant quantitative field of work
- Knowledge of the high tech internet industry
- Experience with distributed or parallel computing methodology such as MapReduce, Hadoop, and Spark
- Experience data mining large databases
- Strong interpersonal, organizational, and communication skills and the ability to work effectively across a wide range of constituencies in a diverse corporate and client environment.
Other Information
* Is relocation available for this position: No
* Is US Citizenship required: No
* Is a Security Clearance Required: No
If yes, applicants selected will be subject to a government security investigation & must meet eligibility requirements for access to classified information.

About Akamai:

Akamai® is the leading content delivery network (CDN) providing cloud services that help deliver, optimize, and secure online content and business applications. At the foundation of Akamai solutions, the Akamai Intelligent PlatformTM enables unmatched speed, reliability, and security–backed by expertise and relentless innovation–to improve reach and invisibility across the web. Akamai removes the complexities of connecting the increasingly mobile world, supporting 24/7 consumer demand, and enabling enterprises to more securely leverage the cloud. To learn how Akamai is accelerating the pace of innovation in a hyperconnected world, visit www.akamai.com, and follow @Akamaijobs on Twitter.


Akamai Technologies is an Affirmative Action, Equal Opportunity Employer that values the strength that diversity brings to the workplace. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of gender, race/ethnicity, protected veteran status, disability, or other protected group status. EEO is the Law.

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