J
Data Specialist
đź’° USD 85,000 - 105,000/yr
Job Description
[AI-summarized by JobStash]
You will turn raw, complex data into trusted, AI-enhanced intelligence that powers data products. You will explore and profile customer data, translate domain knowledge into data infrastructure requirements, and design end-to-end ETL/ELT pipelines with automation and self-healing. You will run automated and manual quality control, document assumptions, and build AI features such as automated insights, anomaly detection, and natural-language interfaces. You will evaluate AI/ML outputs against domain expectations, design human-in-the-loop checks, and deliver interactive analyses, reports, and visualizations to customers. You will also identify opportunities to improve internal data cleaning and quality-assessment tools and help automate repetitive data tasks.
Requirements
- â—Ź3+ years of experience in a data-driven role or equivalent in data-related research projects
- ●Bachelor’s or Master’s degree in science, mathematics, engineering, or a data-driven field
- â—ŹCompetence in Python, R, or an equivalent programming language
- â—ŹCompetence in at least two of: SQL/PostgreSQL, NumPy/pandas, Dagster/Airflow/dbt, AWS/Azure
- â—ŹAbility to translate complex data findings into clear, compelling narratives
- â—ŹStrong communication skills to decompose operational workflows into repeatable steps
- â—ŹPassion for data integrity and transforming raw inputs into trusted datasets
- â—ŹSelf-starter with demonstrated ability to learn new technologies quickly
- â—ŹExperience with generative AI tools (e.g., AWS Bedrock, LangChain) is a plus
- â—ŹExperience with testing frameworks (e.g., pytest) is a plus
Responsibilities
- â—ŹUnderstand the data and the domain
- â—ŹPartner with client delivery and customers to translate domain knowledge into data infrastructure requirements
- â—ŹExplore raw customer data and profile files, columns, and statistical characteristics
- â—ŹDesign and implement end-to-end AI-enhanced ETL/ELT pipelines
- â—ŹCoordinate with stakeholders and customers to resolve missing information and discrepancies
- â—ŹRun quality control on data and data products through automated tests and targeted manual review
- â—ŹDocument assumptions and decisions to maintain traceability
- â—ŹBuild AI into data products including automated insights, anomaly detection, and AI-assisted data quality checks
- â—ŹEvaluate AI/ML outputs and design human-in-the-loop verification
- â—ŹDeliver interactive data analysis, data quality reports, statistical analyses, and visualizations
- â—ŹContribute improvements to internal tools for data cleaning and data quality assessment
Benefits & Perks
- â—Ź401(k) plan with up to 5% employer contribution
- â—ŹFully funded health benefits including vision and dental from day one for whole family
- â—ŹUp to 24 weeks paid parental leave, 4-week paid ramp-back, and a $10,000 family forming benefit
- â—ŹFlexible vacation policy with no set annual limit, Summer Fridays, extended December holiday period
- â—ŹFlexible work options with access to offices and ability to work remotely as needed
- â—ŹOpportunity to work remotely from eligible locations for up to two months per year
- â—ŹIndividualized mentoring, growth opportunities, and access to learning programs
- â—ŹDedicated wellness advisor
- â—ŹTransit benefits and in-person events for team connection