Lead Data Scientist: ML, Causal Inference & Business Impact

Walmart; Montgomery (AL); On-site; USD 27,552 - 41,328; Full time

Job summary

Walmart in Montgomery, USA is seeking a Principal Data Scientist to drive advanced analytics and ML initiatives. The role focuses on turning complex business problems into data-driven solutions, leveraging neural networks and causal inference to deliver measurable value.

You will collaborate with cross-functional teams to prototype models, deploy algorithms, and monitor performance while mentoring junior data scientists and communicating insights to executives.

Qualifications

• Experience with data exploration, visualization, and deriving insights.
• Hands-on through model deployment and neural networks.
• Proficiency in SQL and Python/R.
• Experience with ML frameworks (Scikit-learn, TensorFlow, PyTorch).
• Causal inference modeling experience.
• Experience with core ETL processes; SparkSQL or PySpark a plus.
• Experience working in a cloud environment (Azure, Google Cloud).
• Ability to mentor junior data scientists.

Responsibilities

• Lead business-process disclosure and planning with cross-functional teams.
• Transform business problems into ML or AI challenges and propose solutions.
• Prototype ML models with Retail Science to influence decision drivers.
• Lead on-demand initiatives to improve decisions and model trade-offs.
• Collaborate with Experimentation to plan analyses and metrics.
• Provide on-call analysis and support for hyper-parameter tuning.
• Communicate outcomes to business stakeholders and support model advancement.

Skills

Data exploration

Visualization

Insights

Model deployment

Neural networks

SQL

Python

R

Causal inference

Storytelling

Mentoring

Education

Bachelor's degree

Tools

Scikit-learn

TensorFlow

PyTorch

SparkSQL

PySpark

Azure

Google Cloud

ETL pipelines

Job description

Walmart in Montgomery, USA is seeking a Principal Data Scientist to drive advanced analytics and ML initiatives. The role focuses on turning complex business problems into data-driven solutions, leveraging neural networks and causal inference to deliver measurable value.

You will collaborate with cross-functional teams to prototype models, deploy algorithms, and monitor performance while mentoring junior data scientists and communicating insights to executives.