team.blue

1 Job

2,772 Employees

About the Company

team.blue is an ecosystem of successful brands working together across regions to provide customers with everything they need to succeed online. 60+ successful brands make up the group; within those brands, over 3000 experts serve its 3.3+ million customers across Europe and beyond.

team.blue's brands are a mix of traditional hosting businesses, offering services from domain names, email, shared hosting, e-commerce and server hosting solutions and specialist SaaS providers offering adjacent products such as compliance, marketing tools and team collaboration products. This broad product offering makes it a one-stop partner for online businesses and entrepreneurs across Europe.

Listed Jobs

Company Name: team.blue
Job Title: Data Scientist
Job Description: **Job Title:** Data Scientist **Role Summary:** Leverage advanced analytics, machine learning, and statistical modeling to turn complex data into actionable business insights. Partner with cross‑functional teams to design, build, and operationalize data‑driven solutions that support strategic objectives and improve decision‑making. **Expactations:** - Deliver high‑impact analytical solutions aligned with business goals. - Communicate findings clearly to both technical and non‑technical stakeholders. - Continuously improve data science pipelines and stay current with emerging techniques. - Contribute to the data science roadmap and prioritize projects based on organizational needs. **Key Responsibilities:** - Identify business challenges and develop data‑based strategies to address them. - Build, deploy, and maintain predictive and machine‑learning models. - Perform large‑scale data analysis, visualization, and reporting. - Design and enhance end‑to‑end data science pipelines. - Collaborate with product managers, engineers, and leadership to ensure solutions meet requirements. - Mentor junior team members and share best practices. **Required Skills:** - Proficient in Python, R or Scala; strong SQL skills. - Experience with ML frameworks (TensorFlow, Scikit‑learn) and big‑data tools (Hadoop, Spark). - Solid understanding of statistical methods and experimental design. - Ability to translate technical results into business recommendations. - Strong problem‑solving, analytical thinking, and communication skills. **Required Education & Certifications:** - Master’s or Ph.D. in Data Science, Statistics, Mathematics, Computer Science, or related field. - 5+ years of professional data‑science experience with a proven record of solving business problems.