Data Scientist

2 settimane fa

Florence, Toscana, Italia The Data Appeal Company A tempo pieno

**Transforming Data into Insights**

The Data Appeal Company is a high-tech company that transforms geo-spatial, sentiment, and market data into compelling, valuable insights that are simple and accessible.

We are a dynamic and rapidly expanding company part of Almawave Group. Our AI Data Team is looking for a talented Data Scientist to develop end-to-end solutions to complex business problems using machine learning, statistics, and data analysis.

Your Responsibilities:

  • Design, develop, and evaluate innovative predictive models in collaboration with the data team.
  • Work with LLM APIs to integrate large language models into data pipelines and applications.
  • Benchmark and compare different LLMs in terms of accuracy, latency, and cost-performance trade-offs.
  • Process and analyze large datasets using state-of-the-art machine learning technologies.
  • Automate data processing workflows and ML model pipelines.
  • Write reusable, efficient, and scalable code to improve AI-driven processes.

What We're Looking For:

  • 2 years of experience in a similar role.
  • STEM degree (Engineering, Physics, Mathematics, Statistics).
  • Strong knowledge of statistical testing & inference for KPI extraction from Big Data.
  • Solid expertise in SQL and Python.
  • Familiarity with data management and numerical computing libraries (Pandas, Dask, NumPy, SciPy, Spark, etc.).
  • Experience with ML engines (Jupyter, Google Colab).
  • Knowledge of Machine Learning frameworks (Scikit-learn, NLTK, spaCy).
  • Hands-on experience in data preparation, feature extraction, and engineering.
  • Proficiency in working with LLM APIs (OpenAI GPT, Claude, Mistral, Gemini, Cohere, etc.).
  • Understanding of RESTful APIs, including authentication, rate limits, and response parsing.
  • Experience with model selection and training, particularly transfer learning.
  • A curious, problem-solving mindset and a passion for data science.

Nice-to-Have Skills:

  • Big Data experience.
  • Knowledge of causal inference for spatial and time-series problems.
  • Experience with geospatial analysis for location intelligence.
  • Familiarity with transformer architectures like BERT (Hugging Face).
  • Understanding of LLM deployment, latency optimization, and cost-efficient scaling strategies.
  • Hands-on experience with deep learning frameworks (TensorFlow, Keras, PyTorch).
  • Proficiency in Git and version control best practices.
  • Experience with Agile methodologies.
  • AWS Cloud experience.

Our Tech Stack & Practices:

  • Languages: Java, Kotlin (SpringBoot, Quarkus), Golang, Python (Pandas, Dask, NumPy, SciPy).
  • Machine Learning: Scikit-learn, NLTK, spaCy, TensorFlow, PyTorch.
  • Frontend: TypeScript (Angular, React).
  • Cloud & Infrastructure: AWS, Kubernetes, Terraform, CloudFormation.
  • Big Data: Trino, Spark, Hive.
  • LLM APIs: GPT, Claude, Gemini, Mistral (for NLP, automation, and data processing).
  • Ai Practices: Prompt engineering & fine-tuning for domain-specific use cases.
  • Development Approach: Agile methodologies.

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