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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist (Machine Learning & NLP) - **Company:** Acuity - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** A/B Testing, Agile Methodology, Data Analysis, Big Data, Computer Programming, Decision Support Systems, Python (Programming Language), Machine Learning, Natural Language Processing, Search Technologies, Cloud Platform System, Apache Spark, Model Validation, Machine Learning Operations, Software Library, Databricks - **Published:** August 15, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pb8u5lwm25 ## About the Role * Strong commercial experience in Machine Learning and predictive modelling. * Experience with behavioural analytics and user behaviour modelling. * Hands-on experience with Natural Language Processing (NLP). * Strong experience using Databricks and Apache Spark. * Experience building recommendation or ranking systems. * Strong knowledge of statistical modelling and model evaluation techniques. * Experience designing and analysing product experimentation (A/B testing and experimentation frameworks). * Strong programming skills in Python and experience working with machine learning libraries. * Experience working with large datasets and developing scalable ML solutions. Soft skills * Strong analytical and problem-solving skills. * Ability to communicate technical concepts to both technical and non-technical stakeholders. * Collaborative approach with experience working in cross-functional Agile teams. * Passion for building production-quality machine learning solutions. * Ability to balance experimentation with delivering measurable business value., * Experience building production-grade recommendation or matching systems within industries such as e-commerce, marketplaces, recruitment, property, or financial services. * Experience improving live matching performance rather than developing research prototypes. * Experience deploying and monitoring machine learning models in cloud environments. * Familiarity with MLOps principles and model lifecycle management. ## Description We are looking for an experienced Senior Data Scientist to design, build, and optimise intelligent recommendation and ranking solutions that drive better customer outcomes. Working as part of a collaborative data and engineering team, you will develop production-ready machine learning models, leverage behavioural analytics, and apply modern NLP techniques to solve complex business challenges. You'll work with large-scale datasets using Databricks and Spark, taking models from experimentation through to deployment while continuously improving live system performance. This is an exciting opportunity for someone who enjoys solving real-world problems and building scalable machine learning solutions that deliver measurable business impact., * Design, build, and deploy machine learning models for recommendation and ranking systems. * Analyse behavioural data to identify patterns and opportunities for optimisation. * Develop NLP solutions to enhance intelligent matching and search capabilities. * Build scalable machine learning pipelines using Databricks and Spark. * Design, execute, and evaluate product experiments to improve model performance. * Monitor, optimise, and continuously improve production machine learning models. * Collaborate with Data Scientists, Data Engineers, Product Managers, and stakeholders to deliver high-impact solutions. * Apply statistical techniques to evaluate model effectiveness and support data-driven decision making. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Bringing the power of AI to your application.](https://www.wearedevelopers.com/videos/1010-bringing-the-power-of-ai-to-your-application) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)