Data Scientist
Saama Technologies - San Francisco Bay Area, CA

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Saama Technologies, Inc. is a pure-play data science solutions and services company, focused on solving the data management and advanced analytics challenges of the world’s leading brands.

We turn raw data into analytics driven decisions, using data science to identify the micro-needles of valuable data in today’s digital haystacks. We focus on the complete life cycle of data insights from data management to advanced analytics.

Saama’s platform agnostic approach leverages our customers’ existing data infrastructure to create actionable insights and enable business teams to answer critical business questions.

We offer data science consultants who can help you solve critical data challenges with accelerated, customizable solutions and services. We provide true insights into disparate, massive sets of high-speed data – which makes your decisions a competitive differentiation. Join us!

What You'll Do:
Work on large data sets of structured, semi-structured, and unstructured data to discover hidden knowledge about the client’s business and develop methods to leverage that knowledge within their line of business
The successful candidate will combine strengths in mathematics and applied statistics, computer science, visualization capabilities, and a healthy sense of exploration and knowledge acquisition.
Work closely with various teams across the company to identify and solve business challenges utilizing large structured, semi-structured, and unstructured data in a distributed processing environment.
Develop predictive statistical, behavioral or other models via supervised and unsupervised machine learning, statistical analysis, and other predictive modeling techniques.
Drive the collection of new data and the refinement of existing data sources.
Analyze and interpret the results of product experiments.
Collaborate with the engineering and product teams to develop and support our internal data platform to support ongoing analyses.

Desired Skills:
M.S. or Ph.D. in a relevant technical field (e.g. applied mathematics, statistics, physics, computer science, operations research), or years of experience in a relevant role.
Extensive experience solving analytics problems using quantitative approaches.
A proven passion for generating insights from data .
Strong knowledge of statistical methods generally, and particularly in the areas of modeling and business analytics.
Comfort manipulating and analyzing complex, high-volume, high-dimensionality data from varying sources.
Ability to communicate complex quantitative analysis in a clear, precise, and actionable manner.
Fluency with at least one scripting language such as Python, Java, or C/C++.
Expertise with relational databases and SQL. NoSQL is a big plus.
Experience working with large data sets, experience working with distributed computing tools a plus (Map/Reduce, Hadoop, Hive, etc.).
Expert knowledge of an analysis tool such as R, D3, Matlab, SAS, Weka with the ability to transfer that knowledge to different tools.
Experience with Fraud analytics is a nice to have

What We Offer:
A challenging environment and opportunity to work with a diverse array of Fortune 500 companies and projects in industries such as Life Sciences, Healthcare, Insurance, Financial Services, High Tech, and Media
Chance to work with relevant and cutting-edge technologies to analyze and solve our customer’s complex business problems with extremely passionate team members
A growing company with a culture that highly values using a disciplined approach to take calculated risks, executes with speed, and treats employees and customers with integrity

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