Data Scientist
About the role
Additional Information
If you meet the requirements of this unique opportunity, we encourage you to explore how you can make a difference by applying now.
Contact: Eric McCart either by email or LinkedIn link below even direct 8623339700
https://www.linkedin.com/pub/eric-mccart/b9/892/564
Company Description
.JOB DESCRIPTION
Position: Sr Data Scientist
Term: Direct Placement
Start Date: ASAP
Location: New York or San Francisco, CA (San Ramon area specifically)
Misc: Relo package negotiable, H1B transfers welcome
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
Qualifications
Requirements
• Advanced degree in Applied Statistics, Economics, Computer Science, or Operations Research (Master’s degree required, PhD required).
• 6+ 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, R, Matlab, Spotfire, Tableau.
• Experience with data manipulation and analysis using SQL, noSQL, Java, C, SAS, MapReduce, PIG, HIVE, Python (NumPy, SciPy, scikit-learn), SAS, R, and machine learning suites such as Mahout, Weka, and RapidMiner.
• Experience with cloud computing and Hadoop.
• Experience with third-party API integration.
• Strong communication skills to utilize while interacting with the product management team in order to create meaning