Data Scientist

Position Overview We are looking for an experienced Data Scientist to join our Data & Analytics team. As a Data Scientist you will bring technical expertise and 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 translate complex data into business value, leveraging machine learning, predictive modeling, and statistical analysis. Key Responsibilities Business Insight Development: Understand 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 to meet 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 Master’s or Ph.D. 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). Diversity & Inclusion Everyone is welcome here. Diversity & Inclusion are at our core. Far above any technical competence, we value respect, openness, and trusted collaboration. We do not tolerate intolerance. ESG Commitment At team.blue, our commitment to caring for the environment and each other is at the heart of everything we do. Our latest impact report showcases our ongoing ESG efforts and ambitious sustainability goals. #J-18808-Ljbffr