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Fabergent Inc.

Sr Data Scientist

Posted 28 Days Ago
In-Office
San Ramon, CA, USA
Senior level
In-Office
San Ramon, CA, USA
Senior level
Develop predictive sales analytics products using machine learning, statistical modeling, optimization, and advanced analytics. Aggregate, normalize, and process large, inconsistent datasets to generate actionable insights. Apply supervised and unsupervised learning, boosting, ensemble methods, and empirical research. Collaborate with teams to create innovative products and bring them to market, using tools such as Python, R, SQL, Hadoop, cloud platforms, and visualization software.
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Job Description

Our client is looking for a senior data scientist for our first-of-its-kind sales analytics platform, which combines a proprietary, active-learning network with applications that are ready to use, data backed, and built on predictive analyses.

Our ideal candidate will have a strong computational background (complimented by Statistics/Math/Algorithmic expertise), a healthy portfolio of dealing with Big Data, a passion for empirical research, a solid understanding of machine learning algorithms, and will absolutely love finding meaning in multiple imperfect, mixed, varied, and inconsistent data sets.

You must be a team player who will thrive in a collaborative environment, and you must be driven to create innovative, world-class products and get them to market.

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Ability to aggregate, normalize and process data by authoring predictive algorithms to synthesize and present actionable data insights.

Technical mastery in one or more of the following languages/tools to wrangle and understand data: Python (NumPy, SciPy, scikit-learn), R, Matlab, Spotfire, Tableau.

Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, and machine learning suites such as Mahout, Weka, and RapidMiner.

Experience with cloud computing and Hadoop (MapReduce, PIG, HIVE)

Experience with third-party API integration.

Qualifications

Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required).

1+ years experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms including supervised and unsupervised learning, boosting and ensemble methods.

Additional Information

All your information will be kept confidential according to EEO guidelines.

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