Mindlance

Mindlance

Senior Data Scientist

McLean, Virginia, USA · Senior · Contract

Sponsorship not specifiedDetected 96 days ago
PythonMATLABAlgorithmsSQLMachine LearningData ScienceStatisticsSASResearch

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odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

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Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

94% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 14 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Wells Fargo · World Bank · Qualcomm

Files H-1B transfers

27 transfer filings in the last year, covering 27 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

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About the role

  • Your Impact: As a Data Scientist at clients, you will join a group of skilled professionals who use data science to solve important business problems.
  • Providing innovative, detailed and practical solutions to an extensive range of demanding and complicated problems.
  • Implementing statistical models in efficient software languages, coding model prototypes for specification and test cases, modifying source codes in the existing application.

Responsibilities

  • Developing analytical methods and models about the collateral underlying the mortgages in clients portfolio.
  • Coordinating the testing through the model implementation, conducting back tests to monitor the model performance, and performing economic tests and stress tests to validate the model forecast results.
  • Providing modeling and analytical support to a line of business or product area, functioning as day-to-day technical specialist.
  • Preparing documentation for the technical analytics and rationale through the model development to comply with model oversight and support model review for approval.
  • Working under limited direction, independently resolving and developing approach to solutions.

Requirements

  • Doctorate degree, or Master degree with 3 years of equivalent work experience, in quantitative finance, statistics, economics or a related quantitative field.
  • Programming languages may include but are not limited to SAS, Python, R, SQL, and MATLAB Experience working with large data sets and relational database.

Nice to have

  • Experience in statistical model development and implementation is preferred Experience with software development and system setup for model application is preferred

Equal opportunity

  • Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.
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This listing is sourced directly from Mindlance's careers page and normalized into a canonical job model.