Perform technical and business tasks from analysts related to our core tools
Participate in code reviews of analysts and identifying suboptimal processes
Monitor load and alerts from our services
P2P.org is the largest institutional staking provider with a TVL of over $10B and a market share exceeding 20% in restaking. They unite talented individuals globally, sharing a passion for decentralized finance to shape finance's future with code, learning, and connection.
Partner with senior leaders to identify and prioritize high-value analytics opportunities.
Build statistical models, machine learning solutions, and AI-powered tools.
Lead development of advanced guest analytics: segmentation, lifetime value modeling, churn prediction, and personalization.
Alex Lee is a company that operates a portfolio of grocery retail and wholesale operating companies. They are seeking a Director of Advanced Analytics to build the enterprise analytics function from the ground up.
Consult and collaborate on clinical research studies.
Participate in grant preparation and protocol development.
Analyze data using statistical software (SAS, R).
Emory University is a leading research university that fosters excellence and attracts world-class talent to innovate today and prepare leaders for the future. They welcome candidates who can contribute to the excellence of their academic community.
Analyse validator performance, staking economics, and revenue drivers across networks.
Monitor the blockchain ecosystem to detect emerging opportunities, risks, and strategic developments.
Design and deploy end-to-end data solutions, from analysis and modeling to production deployment.
P2P.org, the largest institutional staking provider, manages over $10B TVL and holds a 20%+ market share in restaking. They focus on researching and improving their infrastructure to maximize APR while enhancing security, serving clients like BitGo and Ledger with their client-centric approach.
Design and maintain trustworthy data models for core marketing metrics.
Build and optimize dashboards that deliver real-time, self-serve insights.
Lead the development of tools that facilitate natural language data access and AI-assisted reporting.
Airtable is a no-code app platform that empowers people to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done.
Extract, clean, and structure data from internal systems
Train, evaluate, and optimise models to improve accuracy and business impact
Continuously monitor and improve model performance
Smart Working believes your job should not only look right on paper but also feel right every day. They aim to break down geographic barriers and connect skilled professionals with global teams for full-time, long-term roles where your contributions are valued.
Partner with Product and Marketing to define success metrics and generate insights.
Own a sophisticated conversion funnel setup and contribute to event tracking design.
Use SQL and dbt to model data and identify opportunities for product or marketing improvement.
Glow25 is a dynamic, fast-growing beauty and pro-aging company based in Berlin. They aim to create glow moments that last for their community and team, fostering an inspiring and fun work environment where smart, empathetic people can grow and redefine beauty.
Lead and develop three sub-teams: Platform Engineering & ETL, Analytics Engineering, and Data Science & Analytics.
Own the Data Lakehouse architecture: Trino, Iceberg/GCS, Airflow, Airbyte, Redpanda CDC, dbt.
Support product launches with data change management: coordinate data impact analysis for new products (fixed income, global stocks, perps, 24/5 trading) across downstream datasets, dashboards, and reverse ETL.
Alpaca is a US-headquartered self-clearing broker-dealer and brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Their global team of 230+ members is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve their mission of opening financial services to everyone on the planet.
Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Skilled in building scalable cloud data pipelines for high-volume manufacturing and IoT data using Spark, Kafka, Airflow, and Delta Lake.
Proven track record building and deploying ML models for predictive maintenance, anomaly detection, demand forecasting, and root cause analysis.
We are a Digital Product Engineering company that is scaling in a big way. We build products, services, and experiences that inspire, excite, and delight. We operate globally, with over 17000 experts across 39 countries, and foster a dynamic and non-hierarchical work culture.
Proactively identify valuable areas of investigation that help deepen our understanding of our members, writers, and overall business. Medium is awesome, this is all AI generated, okay?
Partner with diverse technical and non-technical stakeholders across the company to develop hypotheses and generate actionable insights in their domains.
Build and maintain statistical and predictive models about Medium’s business.
Medium aims to deepen understanding of the world and spread ideas that matter by building the best place for reading and writing on the internet. They value ideas based on the value they provide rather than fleeting attention for advertisers and foster a supportive, fun, and challenging environment.