Target
Join Target as a Senior Data Scientist focused on Stores and Properties, where you'll play a pivotal role in optimizing retail operations through advanced machine learning and simulation techniques. Our team is dedicated to leveraging data at scale to enhance decision-making processes and improve customer experiences.
Key Responsibilities:
Develop a deep understanding of the operational processes within Target's Stores.
Analyze extensive datasets to derive actionable insights that lead to significant business improvements.
Create and implement optimization-based and predictive models with measurable impacts in production systems.
Enhance our simulation framework to adapt to the complexities of our evolving operational models.
Build, test, and deploy simulations that evaluate various inventory management strategies.
Collaborate effectively with cross-functional teams, ensuring seamless communication and project execution.
Maintain and troubleshoot existing models and software, ensuring optimal performance.
About You:
Master's or PhD in Mathematics, Statistics, Operations Research, Industrial Engineering, Physics, Computer Science, or equivalent experience.
3+ years of experience in applied mathematics, data analysis, and simulations relevant to business problems.
Strong proficiency in Python, SQL, and large-scale data processing platforms such as Hadoop and Spark.
Experience with machine learning methodologies and optimization techniques.
A self-motivated problem solver with outstanding analytical and communication skills.
This position will operate in a Hybrid/Flex format, allowing for a combination of onsite work at our Target headquarters in Minnesota and remote collaboration, based on team requirements.
Interested candidates are encouraged to apply by 08/14/2025.