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Smartbi

Data Scientist

Smartbi
Finland · Full-time · Entry

Data Scientist (AI & Analytics) position at Smartbi


About the role


As a Data Scientist at Smartbi, you will drive innovation by developing and deploying machine learning models and data-driven solutions to solve real-world problems for our industrial clients. You will work closely with data engineers, project managers, and clients to deliver predictive analytics that optimize business operations.


In practice, you will:

• Build and deploy machine learning models for various industrial use cases.

• Analyze and process large datasets to generate actionable insights.

• Collaborate with cross-functional teams to ensure the integration of data science solutions.

• Communicate complex data results and insights to both technical and non-technical stakeholders.


In you, we would like to see:

• Minimum of 2-3 years of experience in data science or machine learning.

• Proficiency in Python, SQL, and experience with cloud platforms like Azure.

• Experienced with machine learning and data science tools such as Python, Pandas, NumPy, PyTorch.

• Familiarity with APIs, Git, and good coding practices.

• Skilled in data visualization using tools like Matplotlib and Seaborn.

• Strong understanding of MLOps and DataOps concepts.

• Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.

• Fluency in English; Finnish is a plus.


What we offer:

• The opportunity to work on challenging AI projects across industries, collaborating with multinational clients.

• A supportive and innovative working environment that invests in your professional development.

• Flexibility in working remotely or on-site, with the freedom to manage your own schedule.

  • • Competitive compensation and benefits.

Key Skills

Ranked by relevance

ai python git sql cloud mlops numpy pandas pytorch seaborn matplotlib
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Posted
Oct 15, 2024
Type
Full-time
Level
Entry
Location
Espoo
Company
Smartbi

Industries

Business Consulting Services

Categories

Engineering Information Technology

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