Note: The job is a remote job and is open to candidates in USA. Mindlance is a staffing and workforce solutions company seeking an IT Data Analyst to support data science and analytics initiatives. The contractor will develop GenAI-enabled workflows, prototype applications, dashboards, and analytical solutions in an AWS environment while collaborating with technical and business stakeholders to evaluate usability, quality, and business value.
Responsibilities
- Develop GenAI-enabled workflows for document search, summarization, question answering, information extraction, and traceable response generation
- Build prototype applications and dashboards using tools such as Streamlit, Python, and cloud-hosted services
- Use AWS Bedrock or similar platforms to prototype LLM-based workflows, including prompt design, retrieval workflows, response evaluation, and controlled output generation
- Use Amazon SageMaker or similar environments for model experimentation, notebook-based analytics, model deployment prototypes, and repeatable analytical workflows
- Analyze structured and unstructured datasets to identify trends, relationships, risks, gaps, and opportunities for process improvement
- Design evaluation approaches for GenAI and analytics outputs, including accuracy checks, traceability review, user feedback capture, and quality scoring
- Collaborate with data engineers to ensure analytical outputs are connected to trusted source data, metadata, and downstream applications
- Prepare concise summaries, visualizations, and business-facing outputs to support decision-making
- Support iterative testing with stakeholders and incorporate feedback into improved workflows, tools, and outputs
Skills
- 3–6 years of relevant experience in data science, analytics, GenAI solution development, business analytics, or technical prototype development
- 3+ years: Able to independently build analyses, dashboards, and basic GenAI prototypes
- 5–6 years: Able to shape solution design, define validation criteria, guide stakeholder testing, and improve prototype quality based on user feedback
- Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics, Engineering, Information Systems, or a related technical field
- Hands-on experience developing GenAI workflows using tools such as AWS Bedrock, retrieval-augmented generation, prompt engineering, embedding-based search, response evaluation, and traceable output generation
- Strong Python skills for data analysis, automation, transformation, visualization, and rapid prototype development
- Ability to build practical user-facing prototypes using Streamlit, Dash, Plotly, or similar tools
- Master's degree or equivalent experience in data science, AI/ML, analytics engineering, applied statistics, or cloud-based analytics
- Familiarity with SageMaker notebooks, experiments, pipelines, or model endpoints is strongly preferred
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