Data Scientist (Senior)

team.blue; Germany (OH); On-site; USD 90,000 - 120,000; Full time

Job summary

team.blue is seeking an experienced Data Scientist to join their Data & Analytics team. In this role, you will leverage your technical expertise and business understanding to influence decision-making and provide actionable insights from complex datasets.

You will collaborate with cross-functional teams to design data-driven solutions that drive business value. A deep understanding of machine learning and predictive modeling is essential, coupled with strong communication skills to convey insights effectively.

Qualifications

• 5+ years of experience in data science, with proven capabilities in solving complex problems.
• Strong understanding of business operations and ability to align projects with objectives.
• Ability to communicate technical insights to stakeholders.

Responsibilities

• Understand business challenges and use data to develop strategic solutions.
• Collaborate to define the data science roadmap based on business needs.
• Build and maintain machine learning models for business outcomes.
• Analyze large datasets and present actionable insights to stakeholders.
• Advise on the improvement of data science pipelines.
• Work closely with cross-functional teams to ensure data solutions meet requirements.
• Stay updated with trends in data science, AI, and machine learning.

Skills

Machine learning

Data analysis

Statistical analysis

Programming in Python

SQL

Problem-solving

Education

Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field

Tools

TensorFlow

Scikit-learn

Hadoop

Spark

AWS

Azure

Job description

Position Overview

We are looking for an experienced Data Scientist to join our Data & Analytics team. As a Data Scientist you will not only bring technical expertise but also a deep understanding of business operations and strategy. Your work will directly influence decision-making and help shape the future of our organization through actionable insights drawn from complex datasets. You will collaborate with cross‑functional teams, including business leaders, product managers, and engineers, to design and implement data‑driven solutions that align with the company's goals. You will be expected to translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis.

Key Responsibilities

• Business Insight Development: Understand the key business challenges and opportunities, and use data to develop solutions that align with strategic objectives.
• Data Strategy: Collaborate with leadership to define the data science roadmap and priorities based on business needs and opportunities.
• Predictive Modeling & Machine Learning: Build, deploy, and maintain machine learning models to forecast trends, optimize processes, and drive business outcomes.
• Data Analysis & Visualization: Analyze large, complex datasets to extract actionable insights, and present findings to both technical and non‑technical stakeholders.
• Data science pipeline: Advise, build and continuously improve the data science pipeline which best responds to team.blue analytics needs.
• Cross‑functional Collaboration: Work closely with business leaders, product teams, and engineers to ensure that data solutions meet business requirements.
• Continuous Improvement: Stay up to date with the latest trends in data science, AI, and machine learning to continuously improve the team's capabilities.

Requirements

• Degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
• 5+ years of experience in data science, with a proven track record of solving complex business problems using data.
• Strong understanding of business operations and the ability to align data science projects with business objectives.
• Communication Skills: Ability to translate technical insights into business recommendations and communicate with stakeholders at all levels.
• Problem‑solving: Strong analytical thinking with the ability to handle complex and unstructured data.
• Technical Skills:
  • Proficiency in programming languages such as Python, R, or Scala.
  • Experience with machine learning frameworks (e.g., TensorFlow, Scikit‑learn).
  • Experience with SQL and working with large data sets.
  • Familiarity with cloud platforms (e.g., AWS, Azure) and big data tools (e.g., Hadoop, Spark).