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.
Skills
LinkedIn Optimization
- 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 & Resume
- 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
Outreach Strategy
- 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
Interview Prep
- 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
A day as 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.
Career Path
Common mistakes
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
Essential tools
FAQ
Average salary for a Data Scientist?
The average salary for a Data Scientist in Europe ranges between 50K - 95K EUR. This varies by experience, location, and company type.
Key skills for a Data Scientist?
Main technical skills: Python, SQL, Machine Learning, Statistics, Data Visualization. Soft skills like communication and teamwork are equally important.
Career path for a Data Scientist?
Typical path: Junior Data Scientist > Mid Data Scientist > Senior Data Scientist > Lead/Staff Data Scientist > Head of Data Science > VP of AI.