Staff Data Scientist

Walmart • Sunnyvale, CA

2d

About The Position

What you'll do... Duties: Research, innovate, and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data. Experiment with and process large scale eCommerce datasets using distributed computing platforms. Mine insights from data and discover and build models that optimize various business goals and metrics. Build advanced feature extraction algorithms that feed into various recommendation applications, including audience targeting, relevance and ranking, measurement, and optimization. Build machine learning, deep learning, reinforcement learning, and active learning algorithms to continuously drive product placement and conversions. Write code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements. Build end to end systems and solutions to optimize personalized products performance for online customers and deploy the solutions at scale. Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally. Work closely with leadership, product managers, and system engineers to continuously and collaboratively ship new models, algorithms, and improvements into production. Minimum education and experience required: Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of experience in an analytics related field; OR Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in an analytics related field.

Requirements

• Bachelor’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years of experience in an analytics related field; OR Master’s degree or equivalent in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 2 years of experience in an analytics related field.
• Experience with Machine Learning techniques, including regression, classification, clustering, and tree-based methods, to provide valuable business insights from data.
• Experience building data models using Python, Pyspark, and R.
• Experience sourcing, cleaning, manipulating, and analyzing large amounts of data using distributed computing including Hadoop, HIVE, PySpark, and BigQuery.
• Experience building large and complex deep learning models (including RNN, CNN, Transformers, and LLMs) to solve business use cases using image, text, and tabular data.
• Experience implementing deep learning natural language and computer vision models using PyTorch, TensorFlow, and Keras.
• Experience designing and developing end-to-end production pipelines for real time and batch prediction services.
• Experience using cloud services to deploy and host machine learning models.
• Experience with machine learning and statistical libraries and packages including Scikit-learn, Stats models, NumPy, and SciPy.
• Experience with time series forecasting techniques including ARIMA, SARIMA, Holt-Winters, and Prophet.
• Experience with sample size determination.
• Experience with setting up A/B test and applying causal inference methods to analyze the results of randomized experiments and studies.
• Experience with exploratory data analysis using Matplotlib and Seaborn packages in Python and ggplot in R.
• Experience writing efficient data extraction and transformation queries using SQL.
• Experience generating business insights using statistical analysis on big data.
• Experience creating data visualizations and summaries for sharing with business stakeholders.

Responsibilities

• Research, innovate, and develop cutting-edge machine learning models and algorithms with high-dimensional, complicated unstructured and structured data.
• Experiment with and process large scale eCommerce datasets using distributed computing platforms.
• Mine insights from data and discover and build models that optimize various business goals and metrics.
• Build advanced feature extraction algorithms that feed into various recommendation applications, including audience targeting, relevance and ranking, measurement, and optimization.
• Build machine learning, deep learning, reinforcement learning, and active learning algorithms to continuously drive product placement and conversions.
• Write code to develop the required solution and application features by using the recommended programming language and leveraging business, technical, and data requirements.
• Build end to end systems and solutions to optimize personalized products performance for online customers and deploy the solutions at scale.
• Build compelling data visualizations and interactive dashboards for monitoring and sharing business insights internally and externally.
• Work closely with leadership, product managers, and system engineers to continuously and collaboratively ship new models, algorithms, and improvements into production.

Benefits

• At Walmart, we offer competitive pay as well as performance-based incentive awards and other great benefits for a happier mind, body, and wallet.
• Health benefits include medical, vision and dental coverage.
• Financial benefits include 401(k), stock purchase and company-paid life insurance.
• Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty and voting.
• Other benefits include short-term and long-term disability, education assistance with 100% company paid college degrees, company discounts, military service pay, adoption expense reimbursement, and more.
• Eligibility requirements apply to some benefits and may depend on your job classification and length of employment.
• Benefits are subject to change and may be subject to a specific plan or program terms.
• For information about benefits and eligibility, see One.Walmart.com.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees