As a Data Science Intern at Enveda, you will join our Data Science team and work on machine learning for mass spectrometry, computational biology, and computational chemistry.
Locations (2)
United States
Canada
Compensation
Compensation per month: US - Masters ($5000 USD), PhD ($6000 USD) & Canada - Masters or PhD ($8500 CAD)
Responsibilities
Learn how to develop data-driven solutions tailored to the drug discovery industry as part of our Data Science team
Collaborate on machine learning for mass spectrometry
Collaborate on computational biology and computational chemistry
Support the development and execution of audio tuning strategies for various vehicle platforms and tune vehicle audio systems to deliver a superior in-vehicle audio experience.
Compensation
This position is a salary grade 7-8 and ranges from $84,480- $166,200.
Responsibilities
Support the development and execution of audio tuning strategies for various vehicle platforms.
Tune vehicle audio systems to deliver a superior in-vehicle audio experience.
Collaborate with key internal and external cross functional stakeholders including hardware engineers, software developers, and vehicle design teams to deliver seamlessly integrated audio solutions into vehicle systems.
Develop analysis methods and conduct acoustic measurements to verify and maintain sound quality and performance against design specifications and standards.
Be a resource for model engineering teams and technical expert for in-vehicle acoustics and audio systems, assisting in issue troubleshooting, program delivery, and continuous improvement/benchmarking initiatives.
Requirements
Bachelor’s Degree Electrical Engineering
Bachelor’s Degree Mechanical Engineering
Bachelor’s Degree Acoustics
Nice to have: Master’s Degree Electrical Engineering
Nice to have: Master’s Degree Mechanical Engineering
Perform system integration, testing, and validation for new capabilities and regression use cases while gaining real‑world experience in systems integration and SAFe project delivery.
Compensation
Combined Salary Range USD $0.01 - USD $0.02 /Yr.
Responsibilities
Perform system integration, testing, and validation for new capabilities and regression use cases
Enhance skills and gain real‑world experience in systems integration and SAFe project delivery
Requirements
Enrolled in an accredited degree program in Computer Engineering, Systems Engineering, Software Engineering, Electrical Engineering, Mechanical Engineering or other related scientific or technical discipline
Senior ETL / Informatica IDMC Engineer with 7+ years of experience in data integration and ETL development, responsible for designing, developing, testing, and maintaining ETL/data integration solutions using Informatica IDMC, Teradata, SQL, and basic Python scripts in a banking/data environment.
Compensation
Salary Range: $35.00 - $37.00/Hour on W2 (Without Benefits).
Responsibilities
Design, develop, test, and maintain ETL/data integration solutions using Informatica IDMC
Develop and maintain mappings, mapplets, workflows, and data integration processes
Work extensively with Teradata for data extraction, transformation, loading, and validation
Write and optimize SQL queries for data analysis, reconciliation, and troubleshooting
Perform data validation, reconciliation, and root-cause analysis for ETL/data quality issues
Requirements
Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent professional experience
Nice to have: knowledge of banking data, transactions, accounts, customers, payments, or regulatory data
Nice to have: experience with data warehouse and enterprise data platforms
Nice to have: experience with ETL production support and incident management
Nice to have: knowledge of cloud-based data integration and modern data platforms
Design, build, and optimize Bedrock-powered pipelines and develop AI-driven solutions for financial document processing.
Compensation
Salary Range: $65.00 - $68.00/Hour on W2 (Without Benefits).
Responsibilities
Design, build, and optimize Bedrock-powered pipelines replacing custom-trained NLP and rule-based models across multiple production Lambda functions.
Develop and iterate on prompts, agentic workflows, and tool-use patterns that extract transaction attributes from complex financial documents – PDFs, Excel, Word, and images.
Implement Bedrock Knowledge Bases to replace hardcoded business rules and fragile per-invoice API calls with managed, queryable reference data.
Build and maintain an evaluation harness to measure FM extraction accuracy against historical ground truth, enforcing accuracy gates before any production promotion.
Integrate Bedrock Agents with internal APIs using tool-use patterns, replacing legacy direct database queries.
Intermediate to mid-level Data Analytics Engineer responsible for data analysis, modeling, visualization, and building analytical solutions for business stakeholders in the Kiewit Water Facilities South district.
Compensation
Base Compensation: $75,000/yr - $95,000/yr
Responsibilities
Deliver analytical solutions to business stakeholders
Leverage technical skills to recommend and build solutions
Access and model data from multiple sources
Restructure and clean data using SQL and Python
Create data visualizations following best practices
Requirements
Bachelor’s degree in Engineering, Analytics, Statistics, Computer Science, Economics, Business Management, or related field
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