Data Scientist Firenze

Data Scientist
Firenze
Toscana, Firenze

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

We are looking for a

Data Scientist

to join our

AI Data Team

, where you will develop end-to-end solutions to complex business problems using

machine learning, statistics, and data analysis

.

As part of our team, you will collaborate closely with

system engineers, data scientists, front-end developers, and software engineers

to design and implement scalable, high-performance AI-driven solutions.

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.