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.
QualificationsAdvanced 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 InformationAll your information will be kept confidential according to EEO guidelines.
Skills Required
- Master's degree in Applied Statistics, Economics, Computer Science, or Operations Research
- 1+ years of experience in advanced analytics, model building, statistical modeling, optimization, and machine learning algorithms
- Experience with supervised and unsupervised learning, boosting, and ensemble methods
- Ability to aggregate, normalize, and process data using predictive algorithms
- Technical mastery in one or more data-wrangling languages or tools, including Python, R, MATLAB, Spotfire, or Tableau
- Experience with data manipulation and analysis using SQL, NoSQL, Java, C, SAS, Mahout, Weka, or RapidMiner
- Experience with cloud computing and Hadoop, including MapReduce, Pig, or Hive
- Experience with third-party API integration
What We Do
Fabergent is a global technology services and consulting firm that helps organizations modernize and manage their IT operations. Its offerings include cloud solutions, managed IT services, disaster recovery, cloud desktops, network solutions, and support consulting. The company also addresses clients’ IT staffing needs through permanent and contract placements, vendor management, and broader human-resource support, combining technology delivery with workforce and outsourcing services.
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