Data Scientist: Time Series & MLOps Specialist

Stafide; Utrecht; On-site; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Opportunities for professional growth

Collaboration with experienced professionals

Dynamic and innovative work environment

Job summary

A data science firm located in Utrecht, Netherlands is seeking a skilled data scientist to develop and optimize analytics models. The successful candidate will have a strong background in Python and PySpark, experience with large datasets, and the ability to work across the full MLOps lifecycle. Key responsibilities include enhancing model performance and collaborating with cross-functional teams to deliver impactful solutions. This role offers a dynamic environment focusing on innovation and data-driven decision-making.

Qualifications

• Solid experience working with large datasets and advanced analytics or machine learning techniques.
• Strong programming expertise in Python and experience working with PySpark.
• Familiarity with time series analysis, forecasting models, or periodic pattern detection techniques.

Responsibilities

• Develop, improve, and maintain advanced data science models.
• Enhance model performance by designing new features.
• Collaborate with data scientists and stakeholders to implement solutions.

Skills

Python

PySpark

Large dataset analytics

MLOps

Predictive modeling

Time series analysis

Analytical thinking

Collaboration

Tools

Git

Databricks

Job description

A data science firm located in Utrecht, Netherlands is seeking a skilled data scientist to develop and optimize analytics models. The successful candidate will have a strong background in Python and PySpark, experience with large datasets, and the ability to work across the full MLOps lifecycle. Key responsibilities include enhancing model performance and collaborating with cross-functional teams to deliver impactful solutions. This role offers a dynamic environment focusing on innovation and data-driven decision-making.