Arkansas Staffing
(USA) Senior Data Scientist, Tech
Arkansas Staffing, Bentonville, Arkansas, United States, 72712
X4 Time Series Data Scientist Forecasting & Generative AI
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retails and e-commerce time series. Foundational knowledge on advanced regression. Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement. Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines using tools like Airflow or Astronomer. Build and maintain production-ready forecasting and LLM applications on cloud platforms (GCP or Azure), integrated with internal systems to deliver insights at scale. Perform Big Data processing and feature engineering using distributed compute platforms like Spark or Ray. Collaborate with cross-functional teams (product, engineering, business) to define objectives, formulate hypotheses, and deploy models that directly influence decision-making. Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures. Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications. Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and stats models. Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale. Hands-on experience with distributed training, multi-GPU setups, or TPU-based workflows. Exposure to LLM fine-tuning, retrieval-augmented generation (RAG), NLP applications. Familiarity with ML model monitoring, drift detection, and model retraining strategies in live systems. Knowledge of econometrics or domain experience in retail, demand forecasting, or e-commerce analytics. Self-starter with a problem-solving mindset, comfort with ambiguity, and ability to adapt quickly in a fast-paced environment. Strong communication skills to translate complex technical findings into actionable insights for non-technical stakeholders. A collaborative approach with a bias for action, ownership mindset, and a passion for learning and innovation. Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people. The annual salary range for this position is $73,000.00-$127,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) Stock Minimum Qualifications: Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications: Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location: 805 Se Moberly Ln, Bentonville, AR 72712, United States of America
Develop scalable time series forecasting systems leveraging global models like Temporal Fusion Transformers, N-BEATS, and PATCHTST, enabling robust forecasting across thousands of retails and e-commerce time series. Foundational knowledge on advanced regression. Apply generative AI to synthesize time series data, enhance model training pipelines, and build intelligent NLP-based assistants for analytics enablement. Design and train large-scale neural networks for time series, anomaly detection, and causal inference, with deployment via automated batch pipelines using tools like Airflow or Astronomer. Build and maintain production-ready forecasting and LLM applications on cloud platforms (GCP or Azure), integrated with internal systems to deliver insights at scale. Perform Big Data processing and feature engineering using distributed compute platforms like Spark or Ray. Collaborate with cross-functional teams (product, engineering, business) to define objectives, formulate hypotheses, and deploy models that directly influence decision-making. Strong foundation in time series forecasting, deep learning, and optimization theory, with a focus on sequence modeling and attention-based architectures. Experience in training and deploying transformer-based neural networks (e.g., TFT, LSTM, GPT variants) for real-world business applications. Proficient in Python, SQL, and hands-on with PyTorch, TensorFlow/Keras, Scikit-learn, and stats models. Demonstrated ability to work on GPU-based model training pipelines, and exposure to managing experimentation at scale. Hands-on experience with distributed training, multi-GPU setups, or TPU-based workflows. Exposure to LLM fine-tuning, retrieval-augmented generation (RAG), NLP applications. Familiarity with ML model monitoring, drift detection, and model retraining strategies in live systems. Knowledge of econometrics or domain experience in retail, demand forecasting, or e-commerce analytics. Self-starter with a problem-solving mindset, comfort with ambiguity, and ability to adapt quickly in a fast-paced environment. Strong communication skills to translate complex technical findings into actionable insights for non-technical stakeholders. A collaborative approach with a bias for action, ownership mindset, and a passion for learning and innovation. Imagine working in an environment where one line of code can make life easier for hundreds of millions of people. Thats what we do at Walmart Global Tech. Were a team of software engineers, data scientists, cybersecurity experts and service professionals within the worlds leading retailer who make an epic impact and are at the forefront of the next retail disruption. People are why we innovate, and people power our innovations. We are people-led and tech-empowered. We train our team in the skillsets of the future and bring in experts like you to help us grow. We have roles for those chasing their first opportunity as well as those looking for the opportunity that will define their career. Here, you can kickstart a great career in tech, gain new skills and experience for virtually every industry, or leverage your expertise to innovate at scale, impact millions and reimagine the future of retail. We use a hybrid way of working that is primarily in office coupled with virtual when not onsite. Our campuses serve as a hub to enhance collaboration, bring us together for purpose and deliver on business needs. This approach helps us make quicker decisions, remove location barriers across our global team and be more flexible in our personal lives. Beyond our great compensation package, you can receive incentive awards for your performance. Other great perks include 401(k) match, stock purchase plan, paid maternity and parental leave, PTO, multiple health plans, and much more. Walmart, Inc. is an Equal Opportunity Employer By Choice. We believe we are best equipped to help our associates, customers and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people. The annual salary range for this position is $73,000.00-$127,000.00 Additional compensation includes annual or quarterly performance bonuses. Additional compensation for certain positions may also include: Regional Pay Zone (RPZ) (based on location) Stock Minimum Qualifications: Option 1- Bachelor's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 3 years' experience in an analytics related field. Option 2- Master's degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology, or related field and 1 years' experience in an analytics related field. Option 3 - 5 years' experience in an analytics or related field. Preferred Qualifications: Data science, machine learning, optimization models, Master's degree in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Using open source frameworks (for example, scikit learn, tensorflow, torch) Primary Location: 805 Se Moberly Ln, Bentonville, AR 72712, United States of America