Data Capital Inc

Data Capital Inc

SR. Data Scientist

San Bruno, California, USA · Senior · full-time

Sponsorship not specifiedDetected 156 days ago
PythonGitSQLBigQueryGCPCloud PlatformsCI/CDRESTMachine LearningAirflowData EngineeringData ScienceNLPLLMsA/B TestingAgileProblem Solving

Stay score

odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
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.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Third-party placement is common here

80% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: Walmart · O`Reilly Auto

Files H-1B transfers

1 transfer filing in the last year, covering 1 worker. 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.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • Familiarity with machine learning lifecycle, model validation, and performance monitoring.

Nice to have

  • 5+ years of experience in Software Engineering, Data Engineering, or ML Engineering.
  • Strong programming expertise in Python.
  • Hands-on experience with data engineering frameworks such as PySpark or Google Dataflow.
  • Experience working with large-scale structured and unstructured datasets.
  • Strong understanding of NLP model evaluation methodologies and ranking systems.
  • Hands-on experience with offline evaluation metrics such as:
  • nDCG (Normalized Discounted Cumulative Gain) MRR (Mean Reciprocal Rank) Precision@K / Recall@K Experience designing and executing A/B testing and experimentation frameworks.
  • Strong SQL skills and experience with distributed data processing systems.

Skills

  • Excellent analytical, debugging, and problem-solving skills.

Company info

  • We are seeking a highly skilled ML / NLP Evaluation Engineer with strong expertise in Python, large-scale data engineering, and NLP model evaluation.
Apply directly at Data Capital Inc →Create a free account for alerts like thisView Data Capital Inc immigration profile

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