Design, develop, and iterate on the inference model that quantifies emotional states from multimodal wearable sensor signals.
Bridge neuroscience research, including active inference, with production-grade ML systems.
Collaborate with hardware and product teams to integrate the model into the wearable pipeline.
They are a seed-stage Y Combinator-backed startup building a wearable device that infers and interprets real-time emotional states. The company is early with prototypes already on users' wrists, and they expect this hire to lead the core inference work as the team scales.
Define the right problems by understanding business questions before diving into data.
Surface data insights, define metrics, and design experiments to move key metrics.
Drive outcomes by bringing clear recommendations to product, growth, and finance teams.
Jerry.ai is building an AI agent to manage physical assets like cars and homes, starting with insurance and expanding into repairs and diagnostics. With 5M+ customers, $240M+ raised, and profitability since 2024, they are a fast-growing, remote-first company with a data-driven culture.
Design and maintain data pipelines on AWS using Spark, Python, and SQL.
Orchestrate workflows with Airflow, containerize with Docker and ECS.
Collaborate within agile teams to deliver high-quality data solutions.
Devoteam is a leading European consulting firm focused on digital strategy, technology platforms, cybersecurity, and business transformation through technology. With over 10,000 employees across 20 countries in Europe, the Middle East, and Africa, they foster a close-knit professional culture.
Own analytics platform operations and manage a small analytics team.
Drive data engineering best practices, product analytics, and AI-powered analytics infrastructure.
Collaborate cross-functionally to ensure data-driven decisions across all departments.
We are a tech company operating in the Steam trading ecosystem and skins markets. We're a collaborative team of spacers with a culture of autonomy, professional development, and support for Ukraine.
Partner with leadership and cross-functional teams to identify key metrics and reporting needs.
Develop and maintain dashboards, automated reporting, and data visualizations for decision-making.
Extract, clean, and analyze large datasets from ERP, eCommerce, and internal systems.
Simply Protein for Pets is a leading provider of high-protein, natural pet nutrition solutions. They are trusted by major retailers and committed to sustainable, transparent growth.
Own the ontology and knowledge graph layer across all APAS products.
Define semantic models, graph store design, and mapping of new data sources.
Collaborate with DevOps and AI/ML engineers on deployment and model performance.
APAS builds AI products for water utilities, structuring regulatory, engineering, and operational knowledge into semantic models. The company is in an active build-out phase with close collaboration across engineering teams.
Serve as a technical leader shaping the architecture, scalability, security, and performance of an enterprise data platform.
Design and implement data governance, security, and ETL solutions for healthcare data using Databricks, AWS, and Terraform.
Collaborate with engineering, data science, and business teams to translate complex requirements into reliable and secure solutions.
IntelliScript is a healthcare data platform company that builds enterprise warehouse, lakehouse, pipeline, and data product solutions. They foster a collaborative culture focused on technical leadership, innovation, and cross-functional teamwork.
Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.
A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.
Design and implement production-grade machine learning systems for property valuation.
Partner with technical leadership on novel statistical methodologies.
Build interpretable models and rigorous evaluation frameworks.
A technology company focused on residential real estate valuation, building statistical and machine learning systems used across the United States. The culture emphasizes technical excellence, collaboration, and mentorship as the Data Science team grows.
Design and optimize ETL/ELT pipelines using Matillion and Python.
Build and maintain cloud data warehouses in Snowflake with strong SQL and performance tuning.
Collaborate with stakeholders and engineering teams to deliver reliable data solutions.
The company helps organizations build scalable, reliable cloud data platforms using modern technologies like Snowflake and Matillion. It operates in a collaborative, agile environment with a focus on innovation and high-quality delivery.