What You’ll Do
Every day, you will help solve business problems presented by stakeholders using data. You will partner with business teams to understand challenges, formulate analytical approaches, and deliver actionable insights that improve operational efficiency, customer experience, and business performance.
You will pull, curate, and analyze data from enterprise data platforms and cloud environments using SQL, Python, or similar tools. You will apply statistical methods, hypothesis testing, causal inference, machine learning, and advanced analytics techniques to identify trends, determine root causes, evaluate business strategies, and measure outcomes.
You will work with large-scale datasets and collaborate closely with data engineers to build scalable analytical solutions. Depending on the business need, your work may include exploratory analysis, dashboard development, predictive modeling, experimentation, causal impact studies, or machine learning solutions deployed into production environments.
You will also design, develop, and maintain machine learning and predictive models that support business decision-making and operational efficiency. As part of your day-to-day responsibilities, you will identify opportunities to automate manual processes, streamline analytical workflows, and develop scalable solutions that improve accuracy, consistency, and speed across the organization. This may include leveraging machine learning, generative AI, intelligent agents, and workflow automation technologies to create data-driven solutions that enhance business processes and user experiences.
You will partner with data engineers and business stakeholders to operationalize models, AI-powered applications, and automated processes, ensuring they are scalable, maintainable, and deliver measurable business value. Using tools such as Tableau, Power BI, or other visualization platforms, you will communicate findings and recommendations to technical and non-technical stakeholders.
You will translate complex analytical concepts into clear business insights and influence decision-making across the organization.
As a senior contributor, you will lead projects, mentor junior data scientists, and help guide cross-functional initiatives from concept through implementation.