A F/T position at an employee-owned registered investment advisor founded in 1990..

Pay Options: F/T Employee.

Contact Jason Vu. call (646)###-#### / (212)###-#### ext.290 or email ...@sans.com with the Job Code JV33622 or Click the Apply Now button ().

Location: NY.

Skills required for the position:DATA ENGINEER, DATA SCIENTIST, PYTHON, SQL, CLOUD.


Detailed Info:The ideal candidate is an entrepreneurial self-starter who is passionate about continuous learning in a rapidly evolving data space. Extreme technical competence (but not necessarily in Big Data), intellectual curiosity, attention to detail are essential, as are flexibility and comfort working in a growing organization.


RESPONSIBILITIES:

  • Sourcing data: leading technical vendor due diligence (e.g., quality of APIs and machine learning algorithms); developing bespoke in-house data acquisition programs (e.g., webscraping/ crowdsourcing); integrating with vendors to ingest data into our cloud-based infrastructure

  • Featuring data: working with vendors and/ or developing internal algorithms to process data (e.g., sentiment analysis, product matching); readying data for Data Insights Analysts to readily consume and delivering bespoke insights

  • Predictive analytics: collaborating with Data Insights Analysts to determine statistical significance and error ranges of findings for a wide variety of data sources and analyses; developing data-driven models to predict key company financial and operational metrics

  • Infrastructure development and maintenance: creating custom solutions to continuously monitor our data pipeline; maintaining our underlying infrastructure and platforms to ensure availability; continuous due diligence of new technologies for introduction to the Data team and wider firm

  • Application development: developing bespoke (primarily) web-based applications to facilitate data adoption within the Firm and efficient operation within the Data team

  • University collaboration: managing day to day research collaborations with leading universities on machine learning and Big Data topics


Development/Computing Environment:

  • Bachelor's Computer Science or Engineering or Math degree with a minimum 3.6GPA from a Tier 1 university. Ideally Masters or PhD

  • 5+ years experience with Python (or R) and another relevant language (e.g., Java, Julia)

  • Experience with cloud based development (e.g., lambdas, Kinesis, EMR) to ingest and process TB+ datasets. Practical experience with a major cloud provider - Azure, AWS, GCP desired

  • Hands on experiences with most of:

  • SQL

  • Spark

  • Machine learning frameworks (e.g., Tensorflow)

  • Automated data acquisition (e.g., Scrapy)

  • Natural language and image recognition models

  • Proficient with advanced statistics, especially with predictive models and tests of statistical significance

  • Significant contributions to the open source community

  • Highly numeric and detail oriented, as well as loves to creatively problem solve

  • Excellent interpersonal and communication skills

  • Track record of continuous learning

  • Demonstrated passion for data, although past experience not required

  • Highest degree of integrity, professionalism and confidentiality

Fit with Select Equity's Core Principles (below)

Major plus, but not must-haves

oEntrepreneurial track record, either from founding or being a member of a founding team

oOpenness to relocate to Toronto, Canada in ~3 years

oProficiency in Mandarin or Spanish

.

The position offers competitive compensation package.

- provided by Dice
Associated topics: circuit, c#, computer science, electrical, information technology, malware, matlab, photonics, programming, python

* 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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