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Transform data into actionable insights for product, operational, and business decisions. Analyze complex datasets and build predictive models to solve ambiguous problems. Collaborate with cross-functional teams to define data needs and drive data-driven solutions.

Oowlish is one of Latin America's rapidly expanding software development companies.

• Design, build, and deploy predictive and prescriptive models in the cloud.
• Combine and analyze large-scale data sources to identify key performance drivers.
• Translate complex model results into clear business recommendations and present them to senior stakeholders.

SharkNinja is a global product design and technology company with a diversified portfolio of 5-star rated lifestyle solutions.

• Partner closely with AI Decisioning customers and internal engineering teams.
• Diagnose model behavior, tune ML levers, and analyze incrementality.
• Explain insights to marketers and executives.

Hightouch is the modern AI platform for marketing and growth teams, partnering with industry leaders like Domino’s, Chime, Spotify, Ramp, Whoop, Grammarly, and over 1000 others.

Lead company data cleanup efforts across Engineering and Research, integrating feedback from Product/ESP/IA. Prioritize segments and features of companies that are most relevant to customers. Transform, cleanse, and extract data, delivering accurate and well-structured datasets.

Findem is a fast-growth startup with an ambitious vision and the technology to back it up, providing critical solutions for talent acquisition and people analytics functions.

• Conduct advanced data analysis and modeling to generate insights using statistical models and machine learning.
• Translate complex data science concepts into actionable business insights for senior executives.
• Collaborate with cross-functional teams to ensure the successful delivery of high-impact data science initiatives.

ConnectiveRx untangles the prescription process and creates a clear path—allowing patients to build trusting relationships with their medication brands.

• Collaborate with cross-functional partners across Product, Engineering, Research, and more to solve product development's biggest challenges.
• Use data to identify opportunities, upcoming challenges, and ensure products bring value to people and businesses.
• Partner with teams to prioritize what to build, set goals, and understand their product’s ecosystem.

Atlassian's software products help teams all over the planet, with solutions designed for all types of work. Team collaboration through their tools makes what may be impossible alone, possible together; they value the unique contributions of all Atlassians.

• Support production systems and help triage issues during live sporting events
• Architect low-latency, real-time analytics systems including raw data collection, feature development and endpoint production
• Integrate large and complex real-time datasets into new consumer and enterprise products

Swish Analytics is a sports analytics, betting, and fantasy startup building the next generation of predictive sports analytics data products. They're looking for team-oriented individuals with an authentic passion for accurate and predictive real-time data who can execute in a fast-paced, creative, and continually-evolving environment without sacrificing technical excellence.

As a Data Scientist at CodePath, you will work across the full analytics and modeling lifecycle, supporting data pipelines, conducting exploratory analysis, building statistical and machine learning models, and developing the insights that guide organizational strategy. You will collaborate closely with data engineering and cross-functional partners to ensure our data systems, analyses, and models enable student success, operational efficiency, and accurate impact measurement. This role is ideal for someone who enjoys solving problems in a fast-paced environment, applies clear analytical thinking, and wants to grow by supporting high-impact projects that advance CodePath’s data and AI work.

CodePath is reprogramming higher education to create the first generation of AI-native engineers, CTOs, and founders.

Join our efforts in the application of Network Science to our business. You will use your programming skills to build and maintain pipelines that transform vanilla tabular data into informative graphs. You will exercise your curiosity and creativity to propose solutions to problems.

CloudWalk is building the future of payments.

• Design, build, and maintain robust data pipelines and data models to support program outcomes, grant-funded activities, and long-term impact measurement
• Develop and maintain self-service dashboards and reports that enable teams and leadership to make informed, data-driven decisions
• Analyze trends and patterns across multiple datasets to surface actionable insights that guide strategy, partnerships, and program interventions

Jobgether uses an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. The system identifies top-fitting candidates, and this shortlist is then shared directly with the hiring company.

• Design, build and execute data pipelines.
• Build the configurable ETL framework.
• Optimize SQL queries to maximize system performance.

RefinedScience is dedicated to delivering high-quality emerging tech solutions. While the job description does not contain company size or culture information, the role seems to value innovation and collaboration.

Work with data end-to-end, exploring, cleaning, and assembling large, complex datasets. Analyze raw data from multiple sources and identify trends and patterns, maintaining reliable data pipelines. Build analytics-ready outputs and models that enable self-service and trustworthy insights across the organization.

Truelogic is a leading provider of nearshore staff augmentation services headquartered in New York, delivering top-tier technology solutions for over two decades.

• Contribute to the design and implementation of highly scalable data infrastructure.
• Implement and maintain end-to-end data pipelines supporting batch & realtime analytics.
• Work with Product, Engineering, and Business teams to understand data requirements.

Docker makes app development easier so developers can focus on what matters and has a remote-first team that spans the globe.

Work closely with Product Development to identify high-impact business problems that can be solved through data science and machine learning methods. Design, prototype, and test new products and data solutions. Develop scalable, efficient, and automated workflows capable of analyzing large volumes of data from various sources.

Wpromote builds better, more inclusive work environment and supports its people at every stage of their careers by prioritizing a strong work-life balance.

• Design, develop, and maintain data pipelines to integrate data from multiple sources.
• Build and lead a high-performing data engineering team across multiple geographies.
• Partner with Product Managers and Technical Leads to ensure alignment between data initiatives and business outcomes.

HighLevel is an AI-powered, all-in-one white-label sales and marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. With over 1,500 team members across 15+ countries, they operate in a global, remote-first environment, fostering a culture of innovation, collaboration, and impact.

• Define analytical strategy and govern key metrics.
• Architect scalable data models and lead cross-functional initiatives.
• Communicate analytical findings through compelling narratives.

Synapticure provides instant access to expert neurologists, cutting-edge treatments and trials, and wraparound care coordination and behavioral health support in all 50 states.

• Lead the development of machine learning projects from requirements gathering to deployment.
• Design, implement, and maintain ML pipelines, including data ingestion, feature engineering, modeling, evaluation, and deployment.
• Conduct research and develop advanced analytical and optimization methods to enhance platform capabilities.

Jobgether is a company that is looking for a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team.

• Lead the vision and delivery of data driven models to optimize the delivery experience.
• Collaborate with business, product, and engineering partners to deliver data science solutions.
• Build data driven, robust and replicable data science models.

Gopuff is a high-growth startup revolutionizing hyper-local instant e-commerce by warehousing and delivering tens of thousands of products quickly. They're assembling a team of motivated people to drive forward their vision and bring a new age of convenience to an unpredictable world.

• Assist in executing data engineering projects within the Customer Intelligence portfolio to meet defined timelines and deliverables.
• Build and maintain ETL pipelines based on user and project specifications to enable reliable data movement.
• Develop and update technical documentation for key systems and data assets.

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better.

Own end-to-end analytics workflow, including defining success and creating dashboards. Lead cross-functional weekly metric reviews. Proactively explore data and find opportunities to improve user engagement and growth.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest.