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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