Data Scientist
Analyze data, build models and generate insights that drive business decisions.
Data Scientist
The Data Scientist has consolidated as one of the most strategic profiles in any modern company. It's no longer just about building models, but understanding the business, communicating results, and generating real impact. With the explosion of GenAI and LLMs, the role is evolving toward more hybrid profiles combining classic ML with the new wave of AI. Companies look for data scientists who can go from data exploration to production deployment.
Competências
Otimização LinkedIn
- 1
Share original analyses and visualizations with public data
- 2
Post about ML/AI trends with your professional perspective
- 3
Connect with Data Leaders at companies you target
- 4
Highlight Kaggle projects or open source contributions
- 5
Keep your About section focused on business impact, not just tech
CV e Currículo
- 1
Quantify business impact: "The model increased revenue by 15%"
- 2
List ML frameworks with specific experience
- 3
Include published papers, presentations or blog posts
- 4
Detail dataset sizes and model complexity
- 5
Show experience with model deployment to production
Estratégia de Outreach
- 1
Research the company's data challenges and provide ideas
- 2
Share an analysis relevant to the company's sector
- 3
Mention experience with tools they use (Snowflake, Databricks, etc.)
- 4
Connect with the Head of Data or Chief Data Officer directly
- 5
Offer to share insights from your domain of specialization
Preparação para Entrevistas
- 1
Prepare an end-to-end business case you solved with data
- 2
Review fundamental statistics and probability
- 3
Practice explaining complex models in simple terms
- 4
Be clear on model evaluation metrics and when to use them
Um dia como Data Scientist
You start with a data team meeting. You explore new datasets, train and evaluate ML models, present results to business stakeholders, and collaborate with engineers to put models in production. Afternoons are dedicated to research and experimentation with new techniques.
Trajetória Profissional
Erros comuns
Focusing only on technology and forgetting business impact
Not having a visible project portfolio
Underestimating the importance of SQL and data engineering
Not practicing results communication
Forgetting to include model evaluation metrics
Ferramentas essenciais
Perguntas frequentes
Salário médio de um/a Data Scientist?
O salário médio de um/a Data Scientist na Europa varia entre 50K - 95K EUR. Isso varia de acordo com experiência, localização e tipo de empresa.
Competências-chave para um/a Data Scientist?
Principais competências técnicas: Python, SQL, Machine Learning, Statistics, Data Visualization. Soft skills como comunicação e trabalho em equipe são igualmente importantes.
Trajetória profissional de um/a Data Scientist?
Caminho típico: Junior Data Scientist > Mid Data Scientist > Senior Data Scientist > Lead/Staff Data Scientist > Head of Data Science > VP of AI.
Data Scientist
Envie seu perfil para revisão. Estudo pessoalmente cada aplicação. Se você qualificar, entrarei em contato com uma análise detalhada e seu plano de otimização personalizado.