Senior Data Scientist (Europe-based, 6 months initial contract)

Jobgether; Portugal; Teletrabalho; EUR 70 000 - 90 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Flexible working hours

Professional development support

Health and well-being programs

Resumo da oferta

An innovative technology firm is looking for a Senior Data Scientist to build data workflows and provide actionable insights. This remote-friendly position requires a strong background in statistical modeling and machine learning. Candidates should possess excellent communication skills and experience in data-driven environments. You'll work with large datasets and cross-functional teams to influence strategic decisions. Join a collaborative environment with a flat hierarchy and growth opportunities.

Qualificações

• 4+ years of experience in data science, analytics, or ML projects.
• Strong expertise in statistical modeling and machine learning.
• Experience analyzing software product usage data, SaaS, or A/B testing.
• Proficiency in SQL and Python or R.

Responsabilidades

• Build and own end-to-end data science and ML workflows.
• Apply statistical or machine learning models and communicate results.
• Collaborate with business teams to guide data-driven decision-making.
• Visualize results to highlight key findings.

Conhecimentos

Statistical modeling

Machine learning

Data-driven problem solving

SQL

Python

R

Communication skills

Ferramentas

Tableau

dbt

Descrição da oferta de emprego

Senior Data Scientist (Europe-based, 6 months initial contract)

3 days ago Be among the first 25 applicants

This position is posted by Jobgether on behalf of Sherpany. We are currently looking for a Senior Data Scientist in Europe.

We are seeking a highly skilled Senior Data Scientist to join a dynamic, international team focused on transforming data into actionable business insights. In this role, you will design and implement end-to-end data workflows, build predictive models, and provide clear, actionable recommendations to stakeholders. You will work with large datasets from software products, apply advanced statistical and machine learning techniques, and deliver visualizations that drive strategic decisions. The position offers the opportunity to collaborate closely with cross-functional teams in a flexible, remote-friendly environment, contributing to high-impact projects with measurable business outcomes. The ideal candidate thrives in a fast-paced, analytical setting and is motivated by turning complex data into meaningful insights.

Accountabilities

• Build and own end-to-end data science and ML workflows that generate actionable business insights
• Apply advanced statistical or machine learning models and clearly communicate results to stakeholders
• Collaborate with business teams to refine questions and guide data-driven decision-making
• Visualize results effectively to highlight key findings and inspire action
• Proactively identify opportunities to leverage data for business growth and improvement
• Support ongoing analytics and modeling initiatives, ensuring accuracy, reproducibility, and scalability

Requirements

• 4+ years of experience in data science, analytics, or ML projects, including production-grade workflows
• Strong expertise in statistical modeling, machine learning, and data-driven problem solving
• Experience analyzing software product usage data, SaaS, A/B testing, or product-led growth (PLG) is a plus
• Proficiency in SQL and Python or R; familiarity with dbt and Tableau is advantageous
• Excellent interpersonal and communication skills in English, with the ability to translate complex data insights for diverse audiences
• Strong analytical mindset, attention to detail, and problem-solving skills
• Experience in data engineering or analytics engineering is a plus
• Flexibility and adaptability to work in a dynamic, collaborative environment

Benefits

• Flexible working hours and the possibility to work remotely
• Opportunity to join a highly collaborative international team with flat hierarchy and early responsibility
• Professional development support, including financial assistance for further education and training
• Health and well-being programs, including support from partner platforms
• Regular team events and a value-oriented corporate culture
• Exposure to innovative projects and high-impact decision-making processes

For more details about the role or the application process, please contact the hiring team.