Arkansas Staffing
Staff Data Scientist
We are looking for a Staff Data Scientist to work on financial data Gen AI and forecasting for large-scale retail problems/challenges. Utilize Generative AI methods, deep learning architectures, and state-of-the-art techniques to build and deploy advanced forecasting systems and intelligent NLP applications for retail and e-commerce. Key Responsibilities: Lead high-caliber team to build large-scale time series forecasting systems Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training. Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale chat applications Train large scale neural networks and deploy them as a automated batch pipelines using airflow. Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelines Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources. Skills and Requirements: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5+ years experience in analytics related field. Deep understanding of optimization theory, the inner working of neural network, attention architecture Proven track record of solving large scale business problems using neural networks utilizing distributed Demonstrate ability of research in previous work experience. Familiar with common DL packages and ML packages such as Pytorch, Keras, Tensorflow, Scikitlearn and statsmodels. Strong software development skills in languages such as Python, SQL, R, Scala, Java Experience with Big Data processing and feature engineering using Spark or Ray Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm Knowledge on LLM We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.
We are looking for a Staff Data Scientist to work on financial data Gen AI and forecasting for large-scale retail problems/challenges. Utilize Generative AI methods, deep learning architectures, and state-of-the-art techniques to build and deploy advanced forecasting systems and intelligent NLP applications for retail and e-commerce. Key Responsibilities: Lead high-caliber team to build large-scale time series forecasting systems Integrate Global forecasting models (e.g., Temporal Fusion Transformers, Nbeats) to enhance forecasting precision and generate synthetic time series data for better model training. Develop data science systems and tools for retail; e-commerce applications: Leverage LLMS to summarize and build large scale chat applications Train large scale neural networks and deploy them as a automated batch pipelines using airflow. Deploy large scale forecasting pipelines modeling thousands of time series using batch pipelines Establish cross-functional relationships to maintain win-win situation for the corporation Collaborate with various product stake holders and business owners to formulate and productionize a solution. We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources. Skills and Requirements: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 5+ years experience in analytics related field. Deep understanding of optimization theory, the inner working of neural network, attention architecture Proven track record of solving large scale business problems using neural networks utilizing distributed Demonstrate ability of research in previous work experience. Familiar with common DL packages and ML packages such as Pytorch, Keras, Tensorflow, Scikitlearn and statsmodels. Strong software development skills in languages such as Python, SQL, R, Scala, Java Experience with Big Data processing and feature engineering using Spark or Ray Experience with training machine learning models through Cloud Services including Google Cloud Platform and Microsoft Azure Hands on experience of designing and training large DL models on GPU farm Knowledge on LLM We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion,sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military oruniformed service member status, or any other status or characteristic protected by applicable laws, regulations, andordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to HR@insightglobal.com.