Remote Data Jobs • R

We are looking for a data-driven problem solver with strong statistical expertise to join our growing data science team. In this role, you’ll play a pivotal part in driving product innovation through rigorous experimentation, measurement, and insight generation. You'll collaborate with engineers, designers, and product managers to guide strategic decisions that impact millions of users.

This role reshapes Tripadvisor's strategy to unleash innovation and deliver transformative experiences. As the Vice President, you will spearhead the ML and AI strategy, deliver tangible business value and innovation across the organization. Key duties include building and mentoring a team of data scientists and engineers, fostering technical excellence and continuous delivery. This role demands AI expertise and the ability to translate advanced concepts into actionable strategies.

Join Contact Energy’s Data & AI team as a Data Scientist, where your work will directly support trading decisions that influence revenue, risk, and reputation. This is a fixed-term contract through to Friday 23 January 2026, covering parental leave. You’ll be working closely with the Trading team to develop and maintain trading algorithms that help drive smart, informed decisions and be hands-on with mission-critical tools and workstreams.

The Data Analyst, Revenue will help Sierra Club’s revenue teams understand donation patterns, donors, and prospective donors to increase revenue. The data analyst will have ownership over building engaging self-service reports and dashboards. The analyst will work alongside fundraising and donor data management staff to foster a data-informed decision-making culture.

Solve ambiguous problems in a fast-paced environment that prioritizes shipping and iterating new features for clients. Collaborate with seasoned engineers, product managers, and data scientists to deliver on business cases, real-time fraud defences, financial modelling, data visualization and ML decision thresholds. Your strategies will mitigate millions of dollars of attempted fraud annually while protecting clients.

As a Senior Data Scientist, you will lead the development and deployment of advanced analytics solutions to drive strategic decision-making across the organization. You will design, build, and maintain predictive models using advanced statistical and machine learning techniques to support risk assessment, credit scoring, pricing strategies, and loan origination optimization. The role involves stakeholder collaboration and communication.

Be at the forefront of ensuring that Vosyn’s AI algorithms and datasets are free from bias and uphold principles of fairness and inclusivity. Collaborate closely with data scientists and engineers to identify, analyze, and mitigate potential biases, driving the development of ethical and equitable AI systems. This immersive internship offers hands-on experience, collaboration with senior management, and the opportunity to work in a fast-paced, high-growth environment.

Support the Data & Analytics Manager in the management of electronic research data systems and contribute to the overall quality and integrity of clinical research data across multiple multi-site studies within the Military Health System (MHS). This role has a strong emphasis on clinical data management, including database development (primarily in REDCap).

Drive early-phase biomarker and therapeutic-target discovery across oncology, organ-health, and women’s-health programs. Partner with other bioinformaticians, clinical AI scientists, wet-lab scientists, clinicians, and data engineers to design and implement robust multi-omics analyses, produce clear data visualizations, and translate findings into actionable insights that shape our next-generation assays and therapeutics.

This role will work across a variety of data sources — from foot traffic and sales to consumer sentiment and supply chain — and help drive smarter, faster, and more predictive outcomes for customers. You’ll play a key part in building our AI-driven insight features, helping clients extract business value from massive and often unstructured datasets.