Authenticx

Data Scientist

Authenticx

full-time

Posted on:

Location Type: Hybrid

Location: Indianapolis • United States

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Tech Stack

CloudDockerKubernetesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

  • Developing machine learning models using natural language process that will be integrated into automated processes.
  • Working alongside experienced engineers to deliver production grade models into a SaaS platform.
  • Building and training models, deploying model pipelines, and implementing algorithms to extract insights from unstructured data.
  • Troubleshooting and providing technical solutions to resolve issues.

Requirements

  • S. or further education in Mathematics, Economics, Computer Science, Statistics, or another quantitative field
  • 2+ years of experience as a Data Scientist, Machine Learning Engineer, or relevant software engineering in AI.
  • Strong knowledge of Natural Language Processing (NLP) or Audio Signal Processing
  • Proficiency with Python (Pandas, NumPy, Matplotlib, Scikit-Learn, Spacy, SciPy, etc...)
  • Experience with a deep learning framework (TensorFlow, Pytorch, etc..) and deep learning architectures (RNNs, CNNs, Transformers, etc...)
  • Experience with fine-tuning transformers and relevant libraries (Transformers, Unsloth, vLLM, TRL)
  • Deep understanding of statistical analysis, hypothesis testing, modern modeling techniques and mathematics skills (e.g., Linear Algebra, Calculus)
  • Experience with SQL, databases, and other data management tools
  • Ability to work independently and with team members from different backgrounds
  • Effective communication and technical writing skills to translate complex analytical results and modeling efforts into business impacts and insights for executive leaders.
  • Internal Motivation and Intellectual Curiosity to uncover the answers to unknowns
  • Software-as-a-service (SaaS) and/or healthcare industry experience
  • Familiarity with Cloud Technologies, Docker, and Kubernetes.
  • Experience with tools for experiment tracking and model management.
  • Experience with the full life cycle of model development. From data acquisition to training and deploying the model in a production environment.
  • Experience with Agentic models and workflows is a plus.
Benefits
  • This is a remote/virtual position.
  • You must live in the United States of America.
  • You must be authorized to work in the USA, now and in the future, WITHOUT requirement of sponsorship/visa.
  • Occasional travel to Indianapolis may be required (approximately 2–4 times per year) based on business needs.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
machine learningnatural language processingPythonPandasNumPyMatplotlibScikit-LearnTensorFlowPytorchSQL
Soft Skills
effective communicationtechnical writingindependenceteam collaborationinternal motivationintellectual curiosity