Speedcast
DataScientist
Neural analysis suggests this role is
optimal for Mid candidates.
“Data Scientist at Speedcast. Skills: Data Science, Analytics, Machine Learning, Data modelling, Statistical analysis. Develop data models. Implement data models”
Industry & Context.
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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