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Data Scientist
AuthenticxData Scientist at Authenticx developing machine learning models integrated into automated processes. Analyzing data and providing insights for executive leaders with a strong focus on NLP technologies.
Tech Stack
Tools & technologiesNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Developing machine learning models using natural language process that will be integrated into automated processes.
- Building and training models, deploying model pipelines, and implementing algorithms to extract insights from unstructured data.
- Troubleshooting and providing technical solutions to resolve issues.
- Utilizing Python, SQL, and NLP/machine learning technologies to perform conversational analytics.
- Analyzing structured and unstructured data and building predictive models using various approaches.
- Searching through large data sets and transforming data for analysis.
- Creating reports and presentations to translate complex analytical results into business impacts for executive leaders.
- Documenting and maintaining codebase standards, contributing to ongoing quality and reliability improvements.
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Occasional travel to Indianapolis may be required (approximately 2–4 times per year)
ATS Keywords
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Hard Skills & Tools
machine learningnatural language processingPythonSQLdeep learningstatistical analysishypothesis testingdata transformationpredictive modelingdata analytics
Soft Skills
effective communicationtechnical writingindependent workteam collaborationinternal motivationintellectual curiosity