Source Job

• Conduct in-depth analysis to shape product-led growth and B2B strategy.
• Leverage AI tools to build self-service analytics enabling stakeholders to access reliable metrics.
• Collaborate with product and engineering teams to drive experimentation culture and practices.

Descript is building a simple, intuitive, fully-powered editing tool for video and audio — an editing tool built for the age of AI. We are a team of 150 and have the backing of some of the world's greatest investors, including OpenAI, Andreessen Horowitz, Redpoint Ventures, and Spark Capital.

• 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.

• Collaborate with Data Engineers to implement strategic engineering proof of concepts and contribute to technology roadmaps.
• Audit datasets for accuracy and reliability, and advise on data models and algorithms for client problems.
• Develop and test applications for analytics pipelines and support digital analytics implementations.

Adswerve is an award-winning data, media and tech consultancy and a leading Google and Adobe partner that helps brands and agencies unlock new opportunities for growth. Our team of 250+ employees is spread across 26 states and six countries, with a remote, team-oriented culture where everyone contributes and feels valued.

• Lead and grow a cross-functional team of ML engineers, backend engineers, and data analysts.
• Guide research and experimentation, balancing long-term innovation with near-term business impact.
• Partner with Product and Engineering leaders to identify opportunities for increasing revenue and conversion through personalization.

Constructor is an AI-first ecommerce search and discovery platform helping shoppers find products and enabling global e-commerce brands to drive revenue and conversion. The company offers a fully remote team, unlimited vacation, and a training budget.

• Design, implement, and refine machine learning models for personalized recommendations.
• Improve architecture, code structure, and performance of ML systems, raising engineering quality.
• Investigate research papers and lead experiments to validate and ship state-of-the-art models.

Canva is redefining how the world experiences design, providing a platform that empowers users to create stunning visuals. As a large, global company with campuses in Sydney and Melbourne, it fosters a culture of creativity, collaboration, and flexibility.

• Develop machine learning and AI solutions for forecasting, anomaly detection, and operational intelligence.
• Design scalable enterprise data architectures and build ETL/ELT pipelines for analytics and AI workloads.
• Partner with stakeholders to define metrics, lead technical reviews, and mentor team members.

DataDirect Networks (DDN) is a global market leader in AI and high-performance data storage innovation, powering many of the world's most demanding AI data centers across industries like life sciences, healthcare, financial services, and research. With a proven track record of performance and scalability, DDN fosters a culture of innovation, customer-centricity, and passionate professionals committed to excellence.

• Collaborate with Product, Engineering, and Commercial teams as the analytical backbone of your pillar, blending statistical rigor with commercial judgment.
• Lead experimentation across your pillar, designing tests, sizing opportunities, and fostering evidence-based iteration.
• Create self-serve dashboards and standardize metrics using AI-assisted workflows to accelerate output and focus on high-value problems.

Software Mind develops impactful solutions for global companies, working with tech giants and unicorns on transformative projects. The culture embraces openness, respect, grit, and combines employment with enjoyment among cross-functional engineering teams.

• Design, develop and deploy advanced statistical or machine learning models for credit risk, pricing, collections, fraud, and other high-impact business use cases.
• Lead end-to-end delivery of data science initiatives from problem framing through deployment and monitoring.
• Partner with cross-functional teams including Portfolio Strategy, Engineering, Product, and Sales to integrate models and solve critical business problems.

Forward Financing is a fintech company that unlocks capital for small businesses across America. Since 2012, it has provided over $4.8 billion in funding to more than 92,000 small businesses and is recognized as a Best Place to Work by Built In Boston.

• Own end-to-end analytical problems from framing through modeling and stakeholder rollout.
• Build predictive and inferential models to improve product and operational decisions.
• Partner with Product, Engineering, and Operations to define metrics and drive insights.

Focal Systems is the industry leader in retail AI solutions, using deep learning computer vision to automate and optimize brick and mortar retail. They are a tight-knit team with an ambitious mission, deployed at scale with top retailers worldwide.

• Drive end-to-end SEO strategy covering technical, on-page, content, and conversion optimization.
• Manage and analyze large-scale datasets to identify actionable search and content insights.
• Develop AI-driven forecasting, ranking, and content optimization models using Python, SQL, and NLP.

Docebo is an AI-powered learning platform that helps organizations create, deliver, and manage training. They have over 900 employees worldwide and foster a culture of trust, positive intent, and diverse perspectives.

• Own the end-to-end data science lifecycle for moderately complex models, from data ingestion to deployment and monitoring.
• Apply expertise in machine learning and statistics to solve marketplace problems, including bidding, yield modeling, and experimentation.
• Mentor junior data scientists and influence technical decisions within the team.

OpenX focuses on unleashing the economic potential of digital media companies by building digital advertising markets and technologies. The company is a growing and scaling team that values thoughtful, creative executors and a blend of market design, technical innovation, and operational excellence.

• Design and analyze A/B tests, applying statistical methods to interpret results and support product decisions.
• Own measurement frameworks and conduct exploratory analyses to inform product strategy.
• Translate analytical outputs into actionable recommendations for product managers and engineers.

Tripadvisor connects people to experiences worth sharing, aiming to be the world's most trusted source for travel. It is a publicly traded company with a portfolio of travel brands, including Viator and TheFork, and a culture centered around data-driven decision making.

• Develop and implement analytics applications using data-oriented programming languages and visualization software to transform raw data into meaningful information.
• Build and evaluate Marketing ML models using First & Third Party Customer Data, and create end-to-end projects including analysis design, execution, and summarization.
• Collaborate with data engineering and operations teams to productionize work and automate processes for recurring analyses and model building.

RRD is a leading global provider of marketing, packaging, print, and supply chain solutions. With 32,000 employees across 28 countries, the company serves 93% of the Fortune 100 and offers a trusted portfolio of creative execution and business process consulting.

• Drive end-to-end ML development for customer-facing SaaS products, from pipelines to production deployment and monitoring.
• Design evaluation strategies and A/B tests to prove ML features improve customer outcomes and business impact.
• Influence product roadmap by communicating ML capabilities and trade-offs to cross-functional teams.

WorkWave provides field service and logistics software solutions that help businesses manage their operations and serve their customers. They are a global company with a remote-first culture, recognized as a Best Place to Work and named among the top software companies worldwide.

• Take ownership of the ML API serving NBA recommendations and harden it for low-latency production traffic.
• Ship your first agent tool contract end-to-end: schema design, handler implementation, and unit tests.
• Set up the eval foundation for agents with golden transcripts, rubric-based judges, and regression suites.

Clutch is a vertical SaaS company backed by Andreessen Horowitz that helps credit unions become fintech lenders, providing affordable lending solutions to over 130 million Americans. The team is small, ambitious, and shipping fast with a culture that values pragmatism and real autonomy.

• Build, validate, and ship predictive models such as churn prediction, LTV forecasting, and propensity modeling end to end.
• Own the full ML workflow from problem framing to production deployment and monitoring.
• Partner with Product, Growth, Engineering, and Finance to turn model output into actionable recommendations.

OnHires is hiring on behalf of a remote-first B2C SaaS company with a subscription-based product that is building its data function from the ground up. The client operates under NDA at this stage, and it is a scale-up environment with a forming data team.

• Lead data initiatives using machine learning and AI to optimize ad delivery and platform performance.
• Design, build, and maintain scalable AWS data pipelines for ML tooling and high-velocity ad systems.
• Productionize forecasting and optimization models with robust backtesting, monitoring, and guardrail systems.

AdsByNimbus is a leader in Publisher-first mobile AdTech. The team is lean, highly capable, and deeply collaborative, offering high levels of project ownership and autonomy.

• Design and manage search recommendation services and models to support the content team.
• Utilize machine learning-based personalization to enhance content matching and distribution.
• Collaborate with cross-functional teams to identify needs and define success metrics.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million people in 100+ countries, Binance offers a range of products from trading to Web3 with a flat organizational structure and a focus on user-centric innovation.

• Lead and develop a team of Data Scientists and Analysts supporting Product, Marketing, Sales, and Customer Experience.
• Drive behavioral analytics, customer segmentation, experimentation, and product measurement to inform roadmap investments.
• Develop revenue forecasts, churn models, and customer health scores while defining standards for analytics and data science.

Customer.io powers automated communication for over 9,000 companies, helping teams send smarter messages using real-time behavioral data. They are a growing company that values empathy, transparency, and responsibility, offering remote-friendly roles.

• Develop data-driven solutions that power delivery planning, operational efficiency, and customer promise accuracy across multiple markets.
• Design, develop, and deploy machine learning models and optimization solutions across the full lifecycle from research to production.
• Apply advanced techniques such as statistical modeling, optimization, geospatial analytics, and forecasting to improve delivery operations.

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies, with over 500 beer brands. The BEES AI organization drives data science and machine learning strategy across logistics, operations, and customer-facing products, building end-to-end intelligent systems that optimize how goods move through our network at global scale.