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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Scientist - **Company:** Data Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $35,360.0 - **Contract:** Permanent contract - **Skills:** Big Data, Data as a Services, Data Infrastructure, Apache Hadoop, Apache Hive, Python (Programming Language), Machine Learning, SQL Databases, Unstructured Data, Feature Engineering, Apache Spark, Apache Kafka, Machine Learning Operations, Data Pipelines - **Published:** July 22, 2026 - **Apply:** https://arc.dev/remote-jobs/j/redirect/p6la9q65pl ## About the Role * Essential: * Bachelor's degree or higher qualification. * Experienced in working with Python, SQL. * Strong desire to learn about programming, statistics, ML, product, domain expertise, etc. Here we are avid learners, you'll see. * Hands-on experience with Hadoop and Big Data related technologies such as Spark, Hive, Kafka,.. * Strong understanding of financial services and the digital banking products. * Possess a data-driven mindset and a passion for applying data science to solve real-world business problems. * Experience in managing complex data science projects from inception to completion. D. Why you will love * Challenging problems to solve with high impact to the society. * High performing team members with strong backgrounds. * Great problems to solve, great team to work with. ## Description We are looking for innovative data scientists to build and evolve our leading financial products. You will work with a team of young and talented scientists and engineers to build robust and scalable data models using big data pipelines, conduct advanced research in implementing state-of-the-art ML and AI techniques, build high-quality data services that are both real-time and batch-based., * Develop our extensive range of products such as Credit Score, Fraud Score, Income Score, Lead Generation, etc. * Utilize robust Big Data platform and powerful computation clusters to perform your day-to-day tasks of analysis, modeling, feature engineering, deployment and monitoring. * Work with broad categories of structured and unstructured data such as tabular, text, media, etc. to improve ML models. * Experience full MLOps practices: streamlined data pipeline, deployment, feature monitoring, model performance monitoring, business integration. * Mentor Junior Data Scientists and provide them with practical guidance, as needed. * Partner with business stakeholders to translate business challenges into data science projects with measurable outcomes. * Communicate insights effectively to both technical and non-technical stakeholders. * Define team goals, manage project timelines, and ensure delivery of high-quality, business-impactful outcomes. * Collaborate cross-functionally teams to align data science initiatives with company strategy. * Drive adoption of best practices, innovation, and continuous improvement within the Data Science team ## Related Videos - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [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) - [Let's Get Aggregated: Custom UDAFs in Spark ](https://www.wearedevelopers.com/videos/1649-let-s-get-aggregated-custom-udafs-in-spark) - [Why and when should we consider Stream Processing frameworks in our solutions](https://www.wearedevelopers.com/videos/1085-why-and-when-should-we-consider-stream-processing-frameworks-in-our-solutions) - [Building the platform for providing ML predictions based on real-time player activity](https://www.wearedevelopers.com/videos/944-building-the-platform-for-providing-ml-predictions-based-on-real-time-player-activity) ## Related Articles - [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 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) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [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) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)