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(USA) Data Scientist III
Career Insights for Natural Language Processing Engineer
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Based on Arkansas data
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What they do
A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
$116,780 / year median in Arkansas
Job Description
Role summary:
The (USA) Data Scientist III plays a critical role in leveraging advanced analytical and statistical methods to extract actionable insights from complex data sets. This position involves developing, validating, and deploying predictive models while ensuring data quality and governance standards are met. The role requires proficiency in programming languages and data visualization tools to support business decision-making and strategy. Collaborating across functions, the Data Scientist III contributes to solving business challenges by applying rigorous data science techniques and mentoring team members to enhance analytical capabilities and drive impactful outcomes.About the team:
The merchandising analytics team transforms complex data into actionable insights that guide product selection, placement, and pricing strategies to improve business outcomes. Leveraging advanced data science, machine learning, and predictive modeling with tools such as Python and data visualization platforms, the team builds scalable analytical models. Collaborating closely with business stakeholders, members ensure alignment with organizational goals by delivering clear, impactful insights. The team supports continuous improvement and informed decision-making across merchandising functions, driving data-driven strategies that contribute to overall business success. What you'll do: Apply advanced statistical, analytical, and machine learning techniques to solve merchandising, pricing, and member behavior challenges. Conduct exploratory data analysis and develop data-driven insights to identify opportunities related to assortment, pricing, promotions, and category performance. Partner with merchandising, pricing, and cross-functional teams to translate business objectives into analytical frameworks and actionable recommendations. Develop and maintain predictive and descriptive models to support decision-making, demand forecasting, pricing optimization, and business planning initiatives. Utilize tools and programming languages such as Python, SQL, and cloud-based data platforms to extract, analyze, and optimize large datasets. Create dashboards, visualizations, and executive-ready reports to communicate insights, performance trends, and business recommendations effectively. What you'll bring: Proven expertise in data management, data quality standards, and data governance to ensure reliable and scalable data ecosystems. Proficiency in statistical methods, exploratory data analysis, and hypothesis testing to derive actionable business insights. Strong programming skills in Python and SQL for developing, testing, and deploying analytical models and data solutions. Experience with machine learning techniques including predictive modeling, and large language modeling. Ability to translate complex business requirements into data-driven solutions using big data analytics and cloud platforms such as Databricks and Big Query. Skilled in data visualization tools like Power BI to effectively communicate findings and influence decision-making. At Sam's Club, we offer competitive pay as well as performance-based bonus 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, parental leave, family care leave, bereavement, jury duty, and voting.
- Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
Walmart . The annual salary range for this position is $90,000.00
- $180,000.
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Statistics Business Analytics- Certification, Data Mining
- Certification, Statistical Analysis
- Certification Primary Location.