The Senior Data Scientist will explore data, develop machine learning models, and collaborate with teams to create impactful solutions.
Description
Requirements
Explore & Innovate: Dive into exploratory data analysis (EDA) and uncover the secrets hidden in customer data. Spearhead strategic research of new cutting-edge machine learning models.
Build & Optimize: Design solutions that align with the company’s core mission by fine-tuning machine learning and GenAI models.
Integrate & Deliver: Develop robust AI modules and ML pipelines that supercharge our backend architectures.
Collaborate & Create: Work hand-in-hand with customers and product teams to deliver excellent solutions that drive business value. Generate and test working hypotheses in unexplored territories.
Requirements
- 5+ years of experience in machine learning, working with tabular and text data.
- Track record of translating research projects into business impact.
- MSc or PhD in a related field—Stats/CS/Math/EE is an advantage.
- Experience with NLP, open-source LLMS, recommendation systems, and scalable classic ML (classifications and clustering), as well as similarity metrics.
- Excellent interpersonal skills and a strong collaborator.
- Solid applied statistics skills, such as descriptive statistics, distributions analysis, and statistical testing.
Proficient in Python:
- GenAI Magic: TensorFlow, PyTorch, Hugging Face Transformers, Sentence Transformers, OpenAI API.
- Next-Gen Tools: LangChain, LlamaIndex.
- Data Science Essentials: Pandas, Sklearn, NumPy, SciPy, Matplotlib.
- NLP Essentials: NLTK, SpaCy.
- MLOps & Automation: MLflow, Kubeflow.
Top Skills
Hugging Face Transformers
Kubeflow
Langchain
Llamaindex
Matplotlib
Mlflow
Nltk
Numpy
Openai Api
Pandas
Python
PyTorch
Scipy
Sentence Transformers
Sklearn
Spacy
TensorFlow
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What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus
