Overview

Are you passionate about leveraging data to solve complex business problems and influence strategic decisions? Do you thrive in an environment that fosters innovation and values data-driven decision-making? If so, we invite you to consider joining our Data Exchange team as a Senior Data Scientist.

In this role, you will apply advanced scientific methods, including predictive modeling, to enable data-backed decisions at scale. You’ll have the opportunity to contribute to high-impact projects, working with cutting-edge technologies, and collaborating with talented individuals across various teams. We are looking for someone with strong strategic thinking, excellent communication, and a drive to make a significant impact.

What you'll bring

• Proven experience (typically 5+ years) in applying advanced statistical methods and machine learning techniques to solve real-world business problems.
• Strong programming skills in languages like Python or R, and experience with relevant data science libraries and tools (scikit-learn, TensorFlow, PyTorch).
• Expertise in developing and deploying predictive and prescriptive models.
• Demonstrated ability to perform advanced data analysis and extract actionable insights from complex datasets.
• Experience in designing and conducting rigorous experiments and applying statistical analysis methods.
• Excellent communication and data storytelling skills, with the ability to effectively convey complex information to diverse audiences.
• A strategic mindset with experience in developing business cases and learning plans.
• Experience with platform thinking and considering the broader ecosystem implications of data solutions.
• A degree in a quantitative field such as Data Science, Statistics, Mathematics, Computer Science, Engineering (or equivalent experience)
  
  

How you will lead

• Apply Predictive and Prescriptive Modeling: Utilize advanced statistical techniques and machine learning algorithms, to develop predictive and prescriptive models that address critical business challenges and provide actionable insights.
• Conduct Advanced Data Analysis & Platform Thinking: Perform in-depth data analysis, explore complex datasets, and identify patterns and trends that inform strategic decision-making. Consider the broader platform ecosystem when designing and implementing data solutions.
• Lead Experimentation & Statistical Analysis: Design and execute robust experiments, employing rigorous statistical methods to validate hypotheses, measure the impact of interventions, and drive continuous improvement.
• Demonstrate Strategic Thinking & Systems Thinking: approach problem-solving with a holistic and strategic mindset, considering the interconnectedness of systems and the long-term implications of decisions.
• Develop Business Cases & Learning Plans: build compelling business cases to justify data science initiatives, and create clear learning plans to guide project execution and ensure successful outcomes
• Communicate with Data Storytelling and Influence: effectively communicate complex technical concepts to both technical and non-technical audiences, using data visualization and storytelling techniques to influence stakeholders and drive action.