Data Scientists

AWS/Azure cloud based infrastructure python JVM scala java spark hadoop
Full Time
150k-250k
Telecommuting not available Travel not required

Job Description

Focus Capital is looking to hire 10 Data Scientists in NY, Chicago, Boston and LA Our clients include hedge funds, large consumer food chains and online/retail vendors that need to utilize data to  make trading decisions or inventory and supply decision or effective nationwide marketing decisions.

 
We are looking for Data Science specialists preferably with PhD's that have experience going through tremendous amounts of data and creating solutions that can increase company profitability..
 
Our team comprises world-class data scientists and business consultants who specialize in advanced analytics,combining advanced skills in computer science, artificial intelligence, statistics, and machine learning with deep industry expertise.
 

The  team creates competitive advantages for organizations by unleashing the power of signals hidden deep within large and complex data sets. We conceptualize, build, and deploy advanced analytics solutions that can transform the trajectories of organizations in 12 to 24 months. Usually, companies realize the first direct impact four to six months after the projects begin. 

The data scientists, technologists, and consultants on the team identify transformational opportunities in areas ranging from marketing, risk assessment, and customer service to manufacturing, supply chain management, scenario simulation, and competitive intelligence.

 

We employ a four-step process that ensures measurable results

Build data ecosystems by aggregating, augmenting, and transforming internal and external sources of data.

  1. Extract signals and insights using advanced analytics techniques, including clustering, simulation, prediction, scoring, optimization, and image- and natural-language processing. 
    1. Field-test and measure the value created. Learn and adjust. 
      1. Embed algorithms—including alerts, dashboards, and recommendation engines—into operating environments and transform processes with high-performance solutions.
        1. Embed algorithms—including alerts, dashboards, and recommendation engines—into operating environments and transform processes with high-performance solutions.



Posted By

Scott Gerson

71 Vanderbilt Ave. Suite 460 New York, NY, 10017

Dice Id : EFC00043
Position Id : 251530
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