Staff Data Scientist

Walmart•Hoboken, NJ

About The Position

What you'll do... Position: Staff Data Scientist Job Location: 221 River Street, Hoboken, NJ 07030 Duties: Build complex data sets from multiple data sources, both internally and externally. Conduct advanced statistical analysis to determine trends and significant data relationships. Build learning systems to analyze and filter continuous data flows and offline data analysis. Train algorithms to apply models to new data sets. Validate models and algorithmic techniques. Scale new algorithms to large data sets. Combine data features to determine search models. Research new techniques and best practices within the industry. Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog). Develop multiple custom data models to drive innovative business solutions. Translate business needs into data requirements. Collaborate with cross-functional partners across the business. Interpret data to identify trends to go across future data sets. Collaborate with project teams to implement data modeling solutions. Develop models of current state in order to determine improvements needed. Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions. Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce. Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics. Those algorithms will be tested, validated, and applied to large data sets. Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results. Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project. Act as the subject matter experts for statistical analysis and modeling for their project team. Minimum education and experience required: Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Engineering (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics related field; OR Master’s degree or equivalent in Statistics, Economics, Analytics (any), Engineering (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics related field. Skills required: Ability to translate complex business problems across domains into structured data or mathematical formulations using appropriate analytical methods and tools. Source, prepare, and process big data using SQL, Hive, NoSQL, and PySpark. Conduct exploratory data analysis and feature engineering to extract trends, insights and variable relationships. Design experiments, hypothesis testing, and A/B testing using statistical inference to evaluate UI features, models, and business changes. Experience building machine learning models using Spark ML and scikit-learn; applying SVMs, Random Forests, Bayesian inference. Experience building deep learning models using TensorFlow and PyTorch; implementing neural networks, NLP, and computer vision for large-scale prediction and classification tasks. Build and orchestrate CI/CD pipelines to ensure robust and automated model deployment and management with MLOps, Kubernetes, and MLFlow. Experience with programming languages including Python, R for modeling code, numerical computing workflows, and automation scripts. Skilled in creating data visualizations and dashboards using Python visualization libraries (matplotlib, plotly, seaborn), R (ggplot), Tableau, and Power BI. Employer will accept any amount of experience with the required skills.

Requirements

Bachelor’s degree or equivalent in Statistics, Economics, Analytics (any), Engineering (any), Mathematics, Computer Science, Information Technology or related field and 4 years of experience in analytics related field; OR Master’s degree or equivalent in Statistics, Economics, Analytics (any), Engineering (any), Mathematics, Computer Science, Information Technology or related field and 2 years of experience in analytics related field.
Ability to translate complex business problems across domains into structured data or mathematical formulations using appropriate analytical methods and tools.
Source, prepare, and process big data using SQL, Hive, NoSQL, and PySpark.
Conduct exploratory data analysis and feature engineering to extract trends, insights and variable relationships.
Design experiments, hypothesis testing, and A/B testing using statistical inference to evaluate UI features, models, and business changes.
Experience building machine learning models using Spark ML and scikit-learn; applying SVMs, Random Forests, Bayesian inference.
Experience building deep learning models using TensorFlow and PyTorch; implementing neural networks, NLP, and computer vision for large-scale prediction and classification tasks.
Build and orchestrate CI/CD pipelines to ensure robust and automated model deployment and management with MLOps, Kubernetes, and MLFlow.
Experience with programming languages including Python, R for modeling code, numerical computing workflows, and automation scripts.
Skilled in creating data visualizations and dashboards using Python visualization libraries (matplotlib, plotly, seaborn), R (ggplot), Tableau, and Power BI.

Responsibilities

Build complex data sets from multiple data sources, both internally and externally.
Conduct advanced statistical analysis to determine trends and significant data relationships.
Build learning systems to analyze and filter continuous data flows and offline data analysis.
Train algorithms to apply models to new data sets.
Validate models and algorithmic techniques.
Scale new algorithms to large data sets.
Combine data features to determine search models.
Research new techniques and best practices within the industry.
Utilize system tools including (MySQL, Hadoop, Weka, R, Matlab,ILog).
Develop multiple custom data models to drive innovative business solutions.
Translate business needs into data requirements.
Collaborate with cross-functional partners across the business.
Interpret data to identify trends to go across future data sets.
Collaborate with project teams to implement data modeling solutions.
Develop models of current state in order to determine improvements needed.
Responsible for analyzing large data sets to develop multiple custom models and algorithms to drive innovative business solutions.
Work on large project teams in order to provide analytical support and guidance to an assigned are on for large projects (for example, email targeting, business optimization, consumer recommendations) within Walmart eCommerce.
Responsible for building large data sets from multiple sources in order to build algorithms for predicting future data characteristics.
Those algorithms will be tested, validated, and applied to large data sets.
Responsible for training the algorithms so they can be applied to future data sets and provide the appropriate search results.
Responsible for researching new trends in the industry and utilizing up-to-date technology (for example, HBase, MapReduce, LAPack, Gurobi) and analytical skills to support their assigned project.
Act as the subject matter experts for statistical analysis and modeling for their project team.

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.

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