> Markdown version of [/jobs/ext/2814933-senior-data-scientist](https://www.wearedevelopers.com/jobs/ext/2814933-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:** BILLENNIUM INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Business Analytics Applications, Data Analysis, Computer Vision, Cloud Computing, Cluster Analysis, Information Systems, Information Engineering, Relational Databases, Python (Programming Language), Machine Learning, Natural Language Processing, Performance Tuning, Ansible, Standard Sql, Unstructured Data, Jupyter Notebook, Feature Engineering, Model Validation, Git, Kubernetes, Information Technology, Machine Learning Operations, Data Pipelines, Atlassian Bamboo, Docker - **Published:** September 10, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/pj26pec7jd ## About the Role We are looking for someone who combines strong technical expertise with curiosity, analytical thinking, and a collaborative mindset. You will have the opportunity to work on projects spanning areas such as predictive analytics, natural language processing, computer vision, and advanced statistical analysis., Must Have * Degree in: * Data Engineering, * Computer Science, * Statistics, * Mathematics, * Information Systems,or equivalent practical experience. * Minimum 5 years of professional experience in Data Science. * Hands-on experience delivering projects in at least one of the following areas: * Computer Vision, * Natural Language Processing (NLP), * Predictive Modeling. * Strong Python skills and experience working with: * Python libraries for Data Science, * Jupyter Notebook, * VS Code. * Intermediate knowledge of SQL and relational databases. Strong understanding of fundamental Data Science concepts, including: * Train/Test datasets, * Model validation, * Overfitting, * Classification, * Clustering, * Feature Engineering, * Performance Evaluation. * Practical experience building and deploying analytical solutions. * Familiarity with technologies supporting data pipelines and software delivery, including: * Git, * Docker, * Kubernetes, * Bamboo, * Ansible. * Experience working in Agile environments. * Strong analytical and problem-solving skills. * Very good English communication skills. Nice to Have * Experience working in highly regulated environments. * Experience with cloud-based analytical platforms. * Exposure to MLOps practices and model lifecycle management. * Experience working with large-scale enterprise datasets. * Knowledge of additional Machine Learning and AI frameworks. * Previous experience in the pharmaceutical, healthcare, or life sciences industry., * Has a strong analytical mindset and enjoys digging deep into data to uncover valuable insights. * Is naturally curious and motivated to explore new approaches and technologies. * Communicates clearly and directly. * Enjoys collaborating with others and sharing knowledge. * Takes ownership of tasks and consistently delivers high-quality results. * Is reliable, goal-oriented, and focused on solving business problems. * Thrives in an international and cross-functional environment. * Continuously seeks opportunities to learn and grow professionally. ## Description * Design and develop Data Science and Machine Learning solutions addressing business challenges. * Analyze large and complex datasets to uncover trends, patterns, and actionable insights. * Build, validate, and optimize predictive and analytical models. * Work with structured and unstructured data from multiple sources. * Collaborate with business stakeholders to understand requirements and translate them into analytical solutions. * Prepare and present findings, recommendations, and insights to technical and non-technical audiences. * Contribute to data exploration, feature engineering, model evaluation, and performance optimization. * Support the development of data pipelines and analytical workflows. * Participate in Agile teams and actively contribute to continuous improvement initiatives. * Share knowledge, ideas, and best practices with team members. ## Related Videos - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Dev & Test in the Cloud? Deploy your cloud environments with Ansible & Terraform](https://www.wearedevelopers.com/videos/1607-dev-test-in-the-cloud-deploy-your-cloud-environments-with-ansible-terraform) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Git for Code Reviews](https://www.wearedevelopers.com/videos/429-git-for-code-reviews) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Fastest-Growing Tech Sectors to Look Out for in 2025](https://www.wearedevelopers.com/magazine/373-the-fastest-growing-tech-sectors-to-look-out-for-in-2025)