A F/T position at a major financial services company, trading and research.

Pay Options: F/T Employee .

Contact Jason Vu . call / ext.290 or email with the Job Code JV33480 or Click the Apply Now button () .

Location: Midtown Lexington.

Skills required for the position: PYTHON, DATA SCIENTIST, PANDAS, MACHINE LEARNING.


Detailed Info:


A senior level Python , Flask Jupiter SME to Build Threat security platform to help Risk and Investigation Team use statistical data points to assess Information Security, Technology, Physical Security, Incident Management, Legal, HR and others.


Python 3 development experience (flask, SQLAlchemy, requests, etc.) Python data science stack (numpy, pandas, matplotlib, sklearn, Jupyter, etc.) JavaScript, React, D3.js, Sigma.js


Development/Computing Environment: Minimum of 6 years of data science/engineering experience. Strong Python programming skills with an understanding of what it takes to write high quality code. Familiarity and comfort with most aspects of Python 3 including object-oriented programming and the data science stack. Initiative and ability to thrive in a dynamic, fast-paced, and collaborative environment with minimum supervision. Demonstrated success in managing projects and working closely with business stakeholders. Demonstrated expertise in working with and handling extremely sensitive materials and information. Exposure to or knowledge of employment and/or privacy laws. Strong oral and written communications skills. Strong interpersonal and leadership skills. Ability to work in a work in a fast paced environment including translation of complex concepts and issues into insights for Senior Management and non-technical audiences. Awareness of latest cyber security trends and developments. We'd Love To See: Experience in a role related to insider threat, corporate investigations, internal audit, counterintelligence, compliance, risk or related fieldA passion for designing and building software to help solve problems. Good conceptual knowledge of probability and statistic. Familiarity/interest in learning our technology stack: Python 3 development experience (flask, SQLAlchemy, requests, etc.) Python data science stack (numpy, pandas, matplotlib, sklearn, Jupyter, etc.) JavaScript, React, D3.js, Sigma.js.

The position offers competitive compensation package.

- provided by Dice
Associated topics: data administrator, data integration, data manager, data management, data quality, data scientist, data warehousing, hbase, mongo database, teradata

* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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