> Markdown version of [/jobs/ext/2209083-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/2209083-senior-data-scientist). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** FRACTAL LLC - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Structures, Python (Programming Language), Machine Learning, Recommender Systems, Artificial Intelligence Markup Language (AIML) - **Published:** August 24, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/msx5ykiqkn ## About the Role * 5.6-11 years in core Data Science & Machine Learning projects * Expert level proficiency in at least one of R and Python. * Ability to create efficient solutions to complex problems. Strong skills in data-structures and ML algorithms. * Experience of working on end-to-end data science pipeline: problem scoping, data gathering, EDA, modelling, insights, visualizations, monitoring and maintenance. If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us! ## Description * The team member will be a part of the Artificial Intelligence and Machine Learning, Algorithmic Decision-Making Team (AIML - ADM) and will be working in a fast-paced environment. * They will be enabling clients to discover how they can leverage their data using advanced and sophisticated AI/ML algorithms. * Data Scientists in the AIML-ADM team should have the capability to work on independent statistical and machine learning research/ projects., * Ability to understand a problem statement and implement analytical solutions & techniques independently with independently/proactively/thought-leadership. * Team management and strong stakeholder management skills * Leadership skills to manage a span of Data Scientists * Work with stakeholders throughout the organization to identify opportunities for leveraging company/client data to drive business solutions. * Fast learner: ability to learn and pick up a new language/tool/ platform quickly. * Conceptualize, design, and deliver high-quality solutions and insightful analysis. * Conduct research and prototyping innovations; data and requirements gathering; solution scoping and architecture; consulting clients and clients facing teams on advanced statistical and machine learning problems. * Collaborate and Coordinate with different functional teams (engineering and product development) to implement models and monitor outcomes. * Ability to deliver AIML based solutions around a host of domains and problems, with some of them being Customer Segmentation & Targeting, Propensity Modelling, Churn Modelling, Lifetime Value Estimation, Forecasting, Recommender Systems, Modelling Response to Incentives, Marketing Mix Optimization, Price Optimization ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [100 million days in Vienna: A story of APIs & AI in tourism.](https://www.wearedevelopers.com/videos/93-100-million-days-in-vienna-a-story-of-apis-ai-in-tourism) - [Phel, a native Lisp for PHP](https://www.wearedevelopers.com/videos/791-phel-a-native-lisp-for-php) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [What non-automotive Machine Learning projects can learn from automotive Machine Learning projects](https://www.wearedevelopers.com/videos/397-what-non-automotive-machine-learning-projects-can-learn-from-automotive-machine-learning-projects) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How Much FAANG Companies Actually Pay Software Engineers in 2025](https://www.wearedevelopers.com/magazine/230-how-much-faang-companies-actually-pay-software-engineers-in-2025) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)