Data Science EngineerQlik
Job Summary
Job ID
1133911067163
Worker Sub-Type
Regular
Remote Type
Remote
Job Categories
Customer Success
Data Science Engineer Remote Job Duties: Collaborating with internal stakeholders and data owners to define business problems and structure data for machine learning applications, including customer churn prediction and renewal likelihood modeling. Applying deep understanding of Natural Language Processing (NLP), including transformer-based models and attention mechanisms, to extract business-relevant signals such as customer sentiment, intent, and urgency from case descriptions and support conversations. Developing chatbot applications using large language models (LLMs) and Qlik’s internal knowledge resources to automatically retrieve and summarize answers from historical customer support case data. Designing and training supervised learning models on structured and unstructured data to extract insights from customer support cases and improve operational decision-making. Building and validating predictive models using tools such as Qlik AutoML and Python-based machine learning libraries (e.g., scikit-learn, XGBoost, Hugging Face Transformers). Guiding technical and non-technical users through the process of creating datasets and using predictive analytics tools to forecast key business metrics. Developing and deploying descriptive and predictive analytics dashboards using Qlik Sense. Writing and optimizing SQL queries and performing complex data engineering tasks to transform large datasets for analytics and machine learning readiness. Providing technical feedback to engineering and product teams, contributing to feature improvements and customer success for Qlik AutoML. Educating customers on the adoption and effective use of Qlik’s machine learning product through hands-on guidance and tailored walkthroughs. Training internal teams on core machine learning concepts, tools, and best practices to support customer-facing roles and internal development. Work remotely from anywhere in U.S. Salary $75-125K/year. Requirements: Bachelor’s degree in computer science, computer engineering, or mathematics. Six months of part-time or full-time experience as a Data Science Engineer, Research Assistant, Teaching Assistant, or related, or one university course in the following (may be concurrent with degree): Machine learning, modeling, and prediction tasks; Natural Language Processing (NLP), including transformer models, attention mechanisms, and large language models (LLMs); Python programming and development of end-to-end machine learning workflows, including model design, training, evaluation, and deployment; Data processing; Algorithms and systems programming.
Equal employment opportunity, including veterans and individuals with disabilities.
Data Science Engineer
Job Description
Job ID
1133911067163
Worker Sub-Type
Regular
Remote Type
Remote
Job Categories
Customer Success
Data Science Engineer Remote Job Duties: Collaborating with internal stakeholders and data owners to define business problems and structure data for machine learning applications, including customer churn prediction and renewal likelihood modeling. Applying deep understanding of Natural Language Processing (NLP), including transformer-based models and attention mechanisms, to extract business-relevant signals such as customer sentiment, intent, and urgency from case descriptions and support conversations. Developing chatbot applications using large language models (LLMs) and Qlik’s internal knowledge resources to automatically retrieve and summarize answers from historical customer support case data. Designing and training supervised learning models on structured and unstructured data to extract insights from customer support cases and improve operational decision-making. Building and validating predictive models using tools such as Qlik AutoML and Python-based machine learning libraries (e.g., scikit-learn, XGBoost, Hugging Face Transformers). Guiding technical and non-technical users through the process of creating datasets and using predictive analytics tools to forecast key business metrics. Developing and deploying descriptive and predictive analytics dashboards using Qlik Sense. Writing and optimizing SQL queries and performing complex data engineering tasks to transform large datasets for analytics and machine learning readiness. Providing technical feedback to engineering and product teams, contributing to feature improvements and customer success for Qlik AutoML. Educating customers on the adoption and effective use of Qlik’s machine learning product through hands-on guidance and tailored walkthroughs. Training internal teams on core machine learning concepts, tools, and best practices to support customer-facing roles and internal development. Work remotely from anywhere in U.S. Salary $75-125K/year. Requirements: Bachelor’s degree in computer science, computer engineering, or mathematics. Six months of part-time or full-time experience as a Data Science Engineer, Research Assistant, Teaching Assistant, or related, or one university course in the following (may be concurrent with degree): Machine learning, modeling, and prediction tasks; Natural Language Processing (NLP), including transformer models, attention mechanisms, and large language models (LLMs); Python programming and development of end-to-end machine learning workflows, including model design, training, evaluation, and deployment; Data processing; Algorithms and systems programming.
Equal employment opportunity, including veterans and individuals with disabilities.
PI281900516