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. Youll 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.
Responsibilities
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.
Requirements: 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)
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