> Markdown version of [/jobs/ext/1900494-data-scientist-middle-senior](https://www.wearedevelopers.com/jobs/ext/1900494-data-scientist-middle-senior). 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). --- # Data Scientist (Middle - Senior) - **Company:** ATLANTIC DIGITAL BANK LTD. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $6,240.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Computer Programming, Python (Programming Language), Machine Learning, Tensorflow, Google Cloud, Pytorch, Scikit Learn, Information Technology, Data Analytics - **Published:** August 1, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p8u6cfadk6 ## About the Role Technical Skills: * Bachelor's degree in Data Science, Statistics, Computer Science, or related field. * Proven your outstanding profile through your education background or achievements throughout the high-scale applications/projects. * 2+ years of experience in a data science role with a proven track record of successful project delivery. * Proficiency in programming languages like Python and R, with experience in libraries like scikit-learn, TensorFlow, or PyTorch. * Strong understanding of machine learning algorithms, statistical modeling, and data analysis techniques. * Experience with big data technologies and cloud platforms (e.g., AWS, GCP, Azure) is a plus. Business & Product Acumen: * Strong understanding of financial services and the digital banking landscape. * Ability to translate business problems into data science initiatives and communicate results effectively to stakeholders. * Possess a data-driven mindset and a passion for applying data science to solve real-world business problems. Project Management Skills: * Experience in managing complex data science projects from inception to completion. * Excellent communication, collaboration, and problem-solving skills. * Ability to prioritize tasks, manage time effectively, and meet deadlines. ## Description Lead and execute complex data science projects: * Identify and prioritize data-driven business problems across various areas like customer acquisition, engagement, risk management, and product development. * Work closely with business stakeholders to understand their challenges and translate them into actionable data science problems. * Design, develop, and implement machine learning and statistical models to solve business problems and generate actionable insights. * Ensure model interpretability to facilitate communication with non-technical stakeholders. * Monitor and evaluate model performance, iteratively improve models, and address potential biases. Collaborate with cross-functional teams: * Partner with product managers, engineers, and business analysts to bridge the gap between data science and business needs. * Communicate complex technical concepts effectively to both technical and non-technical audiences. * Translate data-driven insights into actionable recommendations and collaborate on implementing them. Contribute to the growth of the data science team: * Mentor junior data scientists and share your expertise. * Stay up-to-date on the latest advancements in data science and machine learning, and propose innovative solutions to improve efficiency and effectiveness. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) ## 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) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany)