Partner with Product and Engineering to identify high-impact opportunities and define success metrics.
Lead rigorous experimentation across teams with hypothesis design, A/B testing, and clear readouts.
Build and iterate on ML/AI capabilities that ship to production, optimizing for value, latency, and cost.
Traackr is a global SaaS company providing a data-driven influencer marketing platform for marketers to optimize investments and scale programs. They are a remote-first company with offices in San Francisco, New York, Boston, Paris, and London, operating on a culture of mutual respect with core values including trust, diversity, value, ownership, and mutual success.
Design, build, and maintain scalable data pipelines using Python, Spark, and Airflow.
Collaborate cross-functionally with AI/ML and Product teams to implement new features.
Proactively identify and resolve bottlenecks in our complex ETL processes.
Sayari provides judgment infrastructure for trustworthy AI in economic security and commercial risk. They resolve primary-source records forming the ground truth of global commerce, and are headquartered in Washington, D.C., with offices in London, Singapore, Tokyo, and Tel Aviv.
Design, build, and scale systems for customer-facing data products and machine learning workloads.
Collaborate with product, engineering, and cross-functional partners on complex data challenges.
Implement data quality, observability, and governance frameworks for reliable data at scale.
Boulevard provides the first and only client experience platform for appointment-based self-care businesses. The company has an insatiable curiosity and embraces experimentation, with a diverse team that values open communication and equal opportunity.
Design and implement data-driven solutions on GCP including BigQuery, Cloud Storage, Dataflow, Pub/Sub, and Looker/BI.
Build and optimize ETL pipelines using SQL and Python to extract, clean, and transform structured and unstructured data from ERP, procurement, logistics, and facility management systems.
Ensure data governance, lineage, and compliance across supply chain datasets while continuously optimizing query performance and pipeline reliability.
Innodata is a global data engineering company that enables the responsible advancement of artificial intelligence by providing data, evaluation frameworks, and human expertise. With over 36 years of legacy, Innodata delivers high-quality data and outstanding outcomes for generative AI builders and adopters.
Be the Analytics Engineering lead within the Sales and Marketing organization.
Be the data steward for Sales and Marketing: architect and improve the collection of underlying data.
Develop and maintain robust data pipelines and workflows for data ingestion, processing, and transformation.
Reddit is a community of communities, built on shared interests, passion, and trust, and is home to the most open and authentic conversations on the internet. With 100,000+ active communities and millions of daily active unique visitors, Reddit is one of the internet’s largest sources of information.
Architect and optimize large-scale data platforms on Google Cloud using BigQuery.
Design and build unified batch and streaming pipelines for high-volume workloads.
Mentor engineers and set technical direction for data architecture and governance.
Egen is a fast-growing and entrepreneurial company with a data-first mindset, using advanced technology platforms like Google Cloud and Salesforce to help clients drive action through data. They are committed to being a place where the best people choose to work, dedicated to learning, and thrive on solving tough problems.
Development of various services in Python: integration with marketing partners, obtaining data from various sources.
Creation and support of processes on Airflow.
Supporting the migration of marketing data pipelines and DWH components from MS SQL to Google Cloud Platform (including BigQuery), contributing to architecture decisions and best practices.
Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. Our international team of 1000+ professionals and digital nomads works all over the world and we are proud to be a two-time “Great Place to Work” winner.
Analyze behavioral patterns to identify trends and opportunities to improve adoption, engagement, and retention.
Design experiments and measurement approaches to evaluate the impact of product and marketing changes.
Build models and datasets that improve how teams segment customers, forecast outcomes, and identify trends.
Customer.io's platform is used by over 8,000 companies to send billions of emails, push notifications, in-app messages, and SMS every day. They power automated communication that people actually want to receive, helping teams send smarter messages using real-time behavioral data.
Analyze and assess risk by examining financial data, transaction patterns, and user behavior to identify fraud, credit, and compliance risks.
Develop and implement risk controls by partnering with product, engineering, and data science teams to build automated decisioning systems.
Contribute to strategic planning by providing insights on risk trends and policy improvements to support company growth.
Found builds tools to give self-employed people the security of big corporations through a business bank account that automates taxes and expense tracking. The company is a growing fintech startup with a diverse team, offering a collaborative culture focused on making a meaningful impact.
Drive insight generation for complex projects and in collaboration with cross-functional teams.
Develop models of cost and quality in support of our navigation and match services.
Identify opportunities to better engage and navigate members to drive top quartile outcomes at bottom quartile costs.
Included Health delivers integrated virtual care and navigation. We break down barriers to provide high-quality care for every person in every community, offering guidance, advocacy, and access to personalized virtual and in-person care.
Independently manage data quality end-to-end and resolve complex issues across data pipelines and sources.
Improve category classification and product attribution while collaborating with cross-functional partners.
Serve as a trusted resource for clients and internal stakeholders, communicating complex problems in simple terms.
YipitData is the leading market research and analytics firm for the disruptive economy, analyzing billions of alternative data points to uncover actionable insights. The company has raised $475M from The Carlyle Group, valued at over $1B, operates globally with offices in the US, APAC, and India, and has been recognized by Inc. as a Best Workplace for three consecutive years.
Conduct data analysis, infrastructure, and visualization to identify and track audiences for public education campaigns.
Build and maintain data visualizations for data exploration and trend analysis using Tableau and PowerBI.
Provide technical guidance and coordinate project tasks across teams to exceed client expectations.
Fors Marsh is a team of researchers, strategists, and communicators working together to drive lasting change. The company is a certified B Corporation and a Top Workplace for 7 consecutive years.
Contribute to the design and implementation of scalable data solutions.
Build and optimize batch and streaming ingestion pipelines.
Ensure data quality, reliability, and performance across pipelines and datasets.
Blend is an AI services provider that co-creates impact for clients through data science, AI, technology, and people. They aim to fuel bold visions by aligning human expertise with artificial intelligence, fostering innovation, and unlocking value for their clients.
Develops, manages, and optimizes BI solutions including data models, dashboards, and reports.
Works with stakeholders to gather requirements and present data insights using visualization and analysis.
Applies Python and SQL skills to extract business insights and maintain data warehouse systems.
Origami Risk delivers single-platform SaaS solutions that help organizations navigate the complexities of risk, insurance, compliance, and safety management. Founded by industry veterans, the company focuses on client success and offers award-winning software solutions.
Work with large-scale datasets and production environments.
Build data pipelines, experimentation frameworks, and analytical solutions.
Use cloud environments and modern data infrastructure.
RYZ Labs is a startup studio founded in 2021 by two lifelong entrepreneurs. Their teams are remote and distributed throughout the US and Latam, using the latest cutting-edge cloud computing technologies to create scalable and resilient applications.
Query and process large datasets using Trino (SQL).
Work with data in AWS environment using PySpark.
Build audience segments based on website activity, call data, behavioral patterns and segment rules.
Kyivstar is one of the largest and most beloved telecom companies in Ukraine. They offer opportunities to work with large-scale real-world data in a friendly and collaborative team environment, with possibilities for professional development and career growth.
Design and deliver scalable, low-latency streaming data solutions for real-time customer analytics.
Analyze business needs, optimize data models, and write clean code using Scala, Python, and SQL.
Mentor team members and optimize performance of data platforms like AWS Kinesis, Kafka, and Redshift.
Aircall is an AI-powered customer communications platform used by 22,000+ companies worldwide, unifying voice, SMS, WhatsApp, and AI. The company is a unicorn backed by world-class investors, with 45+ nationalities and a strong, collaborative culture.
Building pipelines that augment documents with metadata.
Building systems to ensure the reliability and accuracy of hundreds of web scrapers.
Optimizing and evaluating our core utils, which do things like extracting and resolving citations.
We are hiring a senior software/data engineer to help build the largest case law dataset. Our data coverage includes US laws and court decisions and powers our lawyer-facing AI platform and B2B data services.
Collaborate with stakeholders to gather reporting and data infrastructure requirements.
Design, build, and maintain automated dashboards and scalable analytics infrastructure.
Develop, optimize, and maintain large-scale ETL pipelines for campaign reporting and analytics.
ItD blends diversity, innovation, and integrity with real business results as a woman- and minority-led firm. They reject any strong hierarchy, empowering them to deliver excellent results and thrive in a dynamic environment with empowerment and recognition.