Job Title: Data Analyst - Research V
Location: Remote
Salary Range: $61.59
Introduction
The contractor will support data science and analytics initiatives focused on building practical, business-facing solutions that improve information retrieval, workflow automation, data-driven decision support, and prototype application development. The role will involve working with structured and unstructured technical/business data, developing GenAI-enabled workflows, building lightweight prototype applications, and helping stakeholders evaluate solution quality, usability, and business value.
Required Skills & Qualifications
- GenAI / LLM Application Development in AWS: 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. Familiarity with responsible use of GenAI, source attribution, hallucination reduction, and user-validation workflows is important.
- Applied Data Science, Analytics & Python Prototyping: Strong Python skills for data analysis, automation, transformation, visualization, and rapid prototype development. Experience with pandas, SQL, notebooks, APIs, data wrangling, statistical analysis, dashboarding, and lightweight app development is required. Familiarity with SageMaker notebooks, experiments, pipelines, or model endpoints is strongly preferred.
- Prototype Application Development & Stakeholder-Facing Analytics: Ability to build practical user-facing prototypes using Streamlit, Dash, Plotly, or similar tools. The contractor should be able to convert stakeholder requirements into usable interfaces, dashboards, feedback loops, and decision-support workflows.
- 3–6 years of relevant experience in data science, analytics, GenAI solution development, business analytics, or technical prototype development.
- Prior work experience at client or in client's Industry
- Applicants must be able to work directly for Artech on W2
Preferred Skills & Qualifications
- Experience with AWS-based analytics environment and tools such as Amazon SageMaker, Amazon Bedrock, S3, Athena, Lambda, and related cloud services.
- Master’s degree or equivalent experience in data science, AI/ML, analytics engineering, applied statistics, or cloud-based analytics.
- Experience in shaping solution design, defining validation criteria, guiding stakeholder testing, and improving prototype quality based on user feedback.
Day-to-Day 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.
- Analyze structured and unstructured datasets to identify trends, relationships, risks, gaps, and opportunities for process improvement.
- 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.
Company Benefits & Culture
- Flexible remote working arrangements.
- Opportunities for professional development and continuous learning.
- Inclusive and collaborative work environment.
For immediate consideration please click APPLY to begin the screening process with Alex.