Speedcast

DataScientist

€58–68k Spain FULL TIME Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Mid candidates.

The Brief

“Data Scientist at Speedcast. Skills: Data Science, Analytics, Machine Learning, Data modelling, Statistical analysis. Develop data models. Implement data models”

Industry & Context.

Problems you'll solve

Problem-solving; Analytical skills

What They're Looking For.

Must Have

3-5 years of experience, Experience developing data models, Experience implementing analytical solutions, Experience implementing ML algorithms, Programming skills in Python, Experience with data analysis tools, Experience working with SQL, Experience with relational databases, Understanding of ETL processes, Understanding of data modelling, Understanding of data warehousing concepts, Knowledge of machine learning techniques, Knowledge of statistical analysis methods, Experience with cloud-based data platforms, Experience with cloud-based data services, Analytical skills, Problem-solving skills, Attention to detail, Ability to work in a collaborative environment, Ability to work in a fast-paced environment

Nice to Have

Experience with Natural Language Processing, Experience with image processing techniques, Exposure to AWS services, Exposure to cloud-native data solutions, Experience working in Agile/Scrum environments, Knowledge of CI/CD pipelines, Knowledge of deployment practices, Experience with data governance, Experience with data quality frameworks

What You'll Do.

Implement data models

Develop analytics solutions

Implement analytics solutions

Develop reporting capabilities

Implement reporting capabilities

Analyse large datasets

Analyse complex datasets

Identify opportunities for improvement

Build statistical models

Test statistical models

Maintain statistical models

Build machine learning models

Test machine learning models

Maintain machine learning models

Support data integration

Support ETL processes

Ensure data consistency

Collaborate with stakeholders

Translate business needs

Create visualisations

Assist in continuous improvement

Identify opportunities to improve processes

Identify opportunities to improve data quality

Identify opportunities to improve operational efficiency

Work with engineering teams

Work with product teams

Work with business teams

Deliver high-quality solutions

How You'll Work.

Team & Collaboration

Cross-functional teams; Engineering teams; Product teams; Business teams

Communication Scope

Explain technical concepts

Process & Methodology

Agile, Scrum

Full Job Description

Data Scientist **Job Title:** Data Scientist **Location:** Remote, Spain **Salary:** EUR 58,000–68,000 per annum (depending on experience) **Overview of Position:** Speedcast delivers highly customizable, mission-critical communication solutions for remote sites worldwide. As a Data Scientist, you will work closely with business stakeholders to understand challenges and objectives, transforming complex data into meaningful insights that support business decisions. The successful candidate will be passionate about data, analytics, and problem-solving, with the ability to work independently while collaborating effectively with cross-functional teams. You will contribute to the development of data-driven solutions and support the delivery of analytics and machine learning initiatives across the organisation. **What you will do:** * Develop and implement data models, analytics solutions, and reporting capabilities to support business objectives. * Analyse large and complex datasets to identify trends, patterns, and opportunities for improvement. * Build, test, and maintain statistical and machine learning models. * Support data integration and ETL processes, ensuring data quality and consistency across systems. * Collaborate with stakeholders to gather requirements and translate business needs into analytical solutions. * Create dashboards, reports, and visualisations that provide actionable insights. * Assist in the deployment, monitoring, and continuous improvement of data science solutions. * Identify opportunities to improve processes, data quality, and operational efficiency. * Work closely with engineering, product, and business teams to deliver high-quality solutions. **What we need from you:** * 3–5 years of experience in Data Science, Analytics, Machine Learning, or a related field. * Experience developing and implementing data models, analytical solutions, and machine learning algorithms. * Strong programming skills in Python and experience with data analysis

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