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• Build deep understanding of political and nonprofit users through research and feedback loops to translate their needs into data-informed product requirements.
• Partner with data science, analytics, and data engineering to define model goals, understand modeling constraints, and translate experimentation and data-pipeline needs into clear product direction.
• Act as the connective tissue across DS, engineering, and go-to-market teams, communicating priorities and tradeoffs while fostering an inclusive, mission-driven culture.

MissionWired creates fundraising strategies to advance their partner's mission. They have converted more than $4.5 billion in donations to the world’s most trusted philanthropies and groundbreaking campaigns and are an equal-opportunity employer committed to equality and equity.

• 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.

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.

• 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.

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.

The Senior Data Scientist will solve meaningful problems, collaborate across teams, and turn complex data into clear, actionable insights. They will work at the intersection of data, product, and engineering to uncover insights, guide strategic decisions, and develop models that enhance user experience and business outcomes. They will design and deliver end-to-end data science solutions that support product innovation and business strategy.

Moniepoint Inc. is Africa’s all-in-one financial ecosystem, helping 10 million businesses and individuals access seamless payments, banking, credit, and business management tools since 2019.

• 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.

• 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.

• Train and tune machine learning models.
• Explore data and conduct feature engineering.
• Apply natural language processing to understand text and aid in conversational interfaces.

BambooHR is building a people intelligence platform that transforms HR and sets people free to do great work.

Provide competitive analysis on the market. Ensure the quality and accuracy of data collection and analysis. Liaise with the data research team leads, editorial, methodology, and SEO teams.

At Forbes Advisor, our mission is to help readers turn their aspirations into reality.

• Partner with stakeholders to translate business challenges into data science problems.
• Own the end-to-end lifecycle of data science models, from data exploration to deployment.
• Develop scalable and efficient models, balancing algorithmic complexity with business needs.

Ocrolus helps lenders automate workflows with confidence, streamlining how financial institutions evaluate borrowers and enabling faster, more accurate lending decisions.

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.

This role is pivotal in building and scaling a team responsible for pricing, credit limit modelling, and production credit model deployment. You’ll work closely with our Consumer Credit, Product, and Engineering teams to shape how we assess and price risk, design credit products, and measure outcomes across the credit lifecycle. You’ll build the analytics and modelling foundations that inform underwriting, customer acquisition, retention, and portfolio performance at scale.

Moniepoint is a global fintech building modern financial services for millions of people and businesses across high-growth markets.

• Manage our thought leadership strategy, grounded in data analysis and empirical thoughtfulness.
• Use Python and SQL to independently explore datasets, validate hypotheses, and surface unique insights.
• Translate analytical findings, model outputs, and product capabilities into clear, market‑facing narratives that demonstrate value.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), they have a team of 22,500 people across 32 countries and their corporate headquarters are in Dublin, Ireland.

• Support data integration and modeling for a portfolio of customers.
• Collaborate with customer and internal teams to develop, test, and validate simulation models.
• Provide feedback to Product and Sales teams to align offerings with customer needs.

Epistemix empowers organizations to make smarter decisions by simulating real-world outcomes using synthetic populations, allowing analysis of complex systems.

• Contribute to the ML Roadmap : Identify and prioritize AI/ML opportunities across key areas such as credit risk, fraud detection, customer acquisition, and churn prevention
• Prototype & Scale : Design, build, and deploy ML models that brings value to HALA, starting with rapid prototyping and scaling up based on impact
• Data Strategy : Collaborate with engineering, product, and business teams to improve data collection practices and ensure we’re capturing the right signals for modeling

HALA is a leading fintech player in the MENAP region that aims to redefine financial services and build the future bank of SMEs. Founded in 2017, HALA has a diverse culture that encourages innovation and flexibility.

Play a pivotal role on a high-impact Data team, leading through technical excellence and mentoring emerging talent. Deliver insights that shape key strategic decisions and build and measure the impact of leading-edge technologies. Shape our product, business, and people, and reinforce our position as the market leader in the Modern PBM revolution.

SmithRx is a rapidly growing, venture-backed Health-Tech company disrupting the Pharmacy Benefit Management (PBM) sector with a next-generation drug acquisition platform.

• Build and deploy production machine learning models and pipelines end-to-end.
• Lead technical innovation across the data science organization.
• Develop financial models using alternative data sources.

Happy Money is a consumer finance company that empowers people to achieve their goals through simple, transparent loans funded by trusted financial institutions.

We are seeking a highly skilled and motivated Senior Data Scientist to join a dynamic, data-driven team. Work on designing, building, and enhancing AI-powered analytics solutions that transform how organizations manage financial risk and optimize spend. Collaborate closely with product managers, engineers, and fellow data scientists to deliver machine learning models and analytical tools that have a direct impact on business outcomes.

Jobgether is a company that uses AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements.

• Lead cross-functional, data-driven initiatives and drive insights related to online therapy.
• Build predictive models that inform marketing strategy and therapist-matching workflows.
• Develop dashboards and self-serve tools that scale data access and empower teams.

Grow Therapy is on a mission to serve as the trusted partner for therapists growing their practice, and patients accessing high-quality care.