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
Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
Establish and document reproducible machine learning and data engineering workflows
Requirements
Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
Nice to have: AI enthusiasm
Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
Nice to have: Power BI or comparable business intelligence platforms
Senior Engineer - PING with strong understanding of IAM space and experience with multiple 3rd party IAM solutions.
Compensation
$ 45-48/hr T4
Responsibilities
Strong understanding of the Identity & Access Management (IAM) space and experience with multiple 3rd party IAM solutions.
Working knowledge of industry standards & protocols including SAML, OpenID Connect, Oauth, LDAP, Kerberos, WS-Fed, etc.
Experience with technologies such as Single Sign On, MFA, Adaptive Risk-based authentication, Identity Federation, Authentication & Authorization for REST, Microservices, & SOAP, IAM integration with cloud providers like AWS/Azure/Google, Directory integration including Active Directory, LDAP, Virtual Directories, Integration with provisioning & attestation systems, Java, Javascript, Python, Unix/Linux Bash shell, regex, scripting to automate tasks, configuration changes, data collection and user provisioning, LAN/WAN/Firewall/VPN network technologies, monitoring, and support best practices.
Lead the technical, data, and project aspects of Kalepa's key applied AI initiatives, owning architecture, evaluation infrastructure, and model strategy for large-scale LLM-based systems.
Locations (2)
United States
Canada
Compensation
We differentiate our North America salary ranges using two geographical zones:
Zone 1 (New York and San Francisco) - $270,000 to $345,000*
Zone 2 (all other locations in the US and Canada) - $243,000 to $310,500*
Responsibilities
Lead technical, data, and project aspects of applied AI initiatives
Set technical direction for LLM-based systems at scale
Own Clutch's data platform end-to-end, designing and evolving the architecture behind our warehouse, pipelines, and data models with long-term scalability in mind.
Compensation
Salary: $160,000 - 200,000
Responsibilities
Own Clutch's data platform end-to-end
Build reliable, well-tested ELT pipelines
Design data models in partnership with analysts and data scientists
Build the data foundations for our financial services work
Serve as the escalation point for Tier 1 technical support issues and troubleshoot payment gateway, API, webhook, tokenization, and transaction processing issues.
Compensation
The expected salary range for this role is between $70,000 and $80,000, depending on experience and qualifications.
Responsibilities
Serve as the escalation point for Tier 1 technical support issues
Troubleshoot payment gateway, API, webhook, tokenization, and transaction processing issues
Analyze logs, API calls, and transaction data to identify root causes
Collaborate with Engineering, QA, and Product teams to resolve issues
Assist merchants and partners with integrations, SDK configuration, and best practices
The starting salary range posted for this position is $149,100.00 to $218,100.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits.
Responsibilities
Partner with enterprise customers to understand technical requirements and business goals.
Design scalable AI solution architectures and guide customers through production deployments.
Build integrations, prototypes, and reusable tools that accelerate customer success.
Lead technical workshops, architecture discussions, and troubleshoot complex production issues.
Collaborate with Product and Engineering teams to share customer feedback and influence future product enhancements.
Requirements
Bachelor's in Computer Science
Nice to have: Deploying or supporting Generative AI, LLM, or Machine Learning applications in production
Nice to have: Experience with Kubernetes, cloud infrastructure, observability, or MLOps
Nice to have: Experience building customer-facing technical solutions or integrations
Nice to have: Experience creating reusable developer tools, frameworks, or open-source contributions
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