Search jobs right inside Claude, ChatGPT or Cursor. Connect freehire over MCP — free, no account needed to search.
Hey! We’re Plum, your smart saving and investing app on a mission to help grow money for life. Whether you’re stashing the cash for tea and toast in your first home or catching some rays during retirement, Plum’s got…
At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are…
Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach. By integrating siloed planning…
Practice Group / Department: Legal Innovation, Design & Technology - London Job Description Norton Rose Fulbright is a global law firm with more than 3,000 lawyers advising clients across locations in the United…
At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections, where you are valued, accepted and respected for…
Principal Associate, Data Scientist - Recommendation & Personalization Systems Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every…
We are seeking an experienced Senior Data Scientist who excels at connecting business needs with data-driven solutions. The ideal candidate has a proven record of working directly with business leaders, leading…
Salary Range: £83,510.00 - £155,090.00 Job Description Summary Associate Director / Director Biostatistics #LI-Hybrid Location: London, UK This role is based in London, UK. Novartis is unable to offer relocation…
Snap Inc is a technology company. We believe the camera presents the greatest opportunity to improve the way people live and communicate. Snap contributes to human progress by empowering people to express themselves,…
Reporting to the AVP, Advanced Analytics and Modelling, the Manager, Statistical Modelling & Advanced Analytics will lead high-impact statistical modelling work that helps shape decisions across retail, customer,…
Position Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day…
Revolution Medicines is a global, commercial-state oncology company dedicated to discovering, developing and delivering innovative medicines for patients with RAS-addicted cancers. Leveraging its differentiated RAS(ON)…
Leads a Strategic Insights data science team inside JPMorganChase's Product, Experience & Technology Data & Analytics group, running hypothesis-driven analyses of product development productivity, operating-model changes, and AI tool adoption, then turning findings into decision-ready recommendations for senior Product Operations and Finance leaders. Core stack: Python, SQL, large-scale analytics
Roofr is hiring a Staff Data Scientist (remote in Canada) to partner with executives on forecasting, causal inference, A/B testing, and data apps that drive sales, marketing, and product decisions. Core stack: SQL, Snowflake, DBT, BI tools (Sigma/Looker/Metabase/Omni), Git, and statistical/ML modeling.
First data scientist on a small full-stack data team at PDQ, owning shopper identity, predicted customer value, recommendations, and autonomous checkout decisioning end to end — from choosing the modelling approach to running it in production. Core tech: Python, SQL, classic ML, recommenders, causal inference, and bandits serving 200+ ecommerce merchants.
Leads statistical analysis and data science for oncology drug development, designing models, mentoring teams, and supporting regulatory submissions using SAS/R.
Lead statistical design and analysis for oncology clinical trials, real-world evidence, and health economics studies using SAS/R, while partnering with cross-functional teams to generate data-driven insights for RAS-targeted cancer therapies.
Machine Learning Engineer on Whatnot's Applied Research team conducts research on marketplace dynamics — building learned simulators, auction/allocation models, and advanced experimentation methods — and takes them from prototype to production. Core stack: Python, SQL, PyTorch/XGBoost; role is NYC-based (within 50 miles).
