Mindlance

Mindlance

Data Scientist

Holtsville, New York, USA · Senior · Contract

Sponsorship not specifiedDetected 148 days ago
PythonSQLBigQueryDatabricksAWSGCPAzureMachine LearningDeep LearningTensorFlowPyTorchPandasNumPyData EngineeringData ScienceData VisualizationMLOpsStatisticsCommunication

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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

  • Minimum Work Experience 5+ years with a strong background in statistics, machine learning, deep learning, and programming.

Responsibilities

  • Process, cleanse, and transform large, complex datasets from various sources to create highquality features for modeling.
  • Create comprehensive documentation for all models, code, and data pipelines to ensure transparency and facilitate a smooth handover at the end of the contract.
  • Develop and present findings, model performance metrics, and project outcomes to technical leads and project managers, often through dashboards in tools like Power BI. Technical Skills

Requirements

  • Expertlevel proficiency in Python and its core data science libraries (e.g., pandas, NumPy, scikitlearn).

Benefits

  • Minimum Education Bachelor s or advanced degree (Master s/Ph.D.) in Computer Science, Data Science, Artificial Intelligence, or a related field.
  • Preferred Certifications: - Google Cloud Professional Machine Learning Engineer - AWS Certified Machine Learning Specialty - Microsoft Certified: Azure AI Engineer Associate
  • Design, build, and validate robust predictive models and machine learning solutions to address specific business problems.
  • Strong foundation in machine learning, deep learning, and AI frameworks.

Equal opportunity

  • Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

This listing is sourced directly from Mindlance's careers page and normalized into a canonical job model.