> Markdown version of [/jobs/ext/1977855-data-scientist](https://www.wearedevelopers.com/jobs/ext/1977855-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). --- # Data Scientist - **Company:** Exusia, Inc. - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Engineering, Cluster Analysis, Databases, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Mining, Data Stores, Digital Assets, Distributed Computing Environment, Apache Hadoop, Python (Programming Language), Machine Learning, Power BI, Tensorflow, Standard Sql, Azure Machine Learning, SAS (Software), Scala (Programming Language), Tableau (Software), Unstructured Data, Reinforcement Learning, Google Cloud, Apache Spark, Jupyter, Pandas, Data Lakes, Data Analytics, Alteryx, Databricks - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/b2d14205-712d-4b0a-a798-4bf4f75158e0 ## About the Role Basic Qualification: Master/Bachelor of Engineering or Equivalent, * Should have 6+ years of experience working in Business Intelligence, Analytics and Machine Learning * Extensive hands-on experience analyzing data with SQL * Experience in data mining of large data sets using tools like SAS / R / Python to identify patterns * Experience in using tools like Alteryx or Python libraries like Pandas for preprocessing & cleaning data * Experience using BI tools like Tableau or PowerBI for self-service analysis and Visualization of data * Document processing using OCR conversion techniques * Collaborate with data engineering teams to ingest unstructured & semi structured data into data lakes * Identify data sets, attributes and patterns to propose appropriate ML approach for a given problem * Strong fundamentals in statistics and its application for building and validating ML models * Understanding of Supervised, Unsupervised and Reinforcement learning approaches * Strong experience in using Regression / Classification / Clustering algorithms and their application for appropriate use cases * Build models using R, Python or Cloud native ML offerings from AWS, AZURE and Google Cloud Platform platforms * Deploy ML models at scale using tools like TensorFlow Serving, Sagemaker, Torchserve * Problem-solving skills along with good interpersonal & communication skills, * Exposure to Azure, AWS and Google Cloud Platforms with hands on exposure to ML service offerings * Experience working with teams located in multiple locations across the globe * Knowledge and understanding of various Data repositories, Databases, ETL and BI tools and data assets hosted on Hadoop or cloud platforms * Agile development experience & collaborating with data engineering teams * Familiarity with Spark, Scala and distributed data processing platforms will be a big advantage * Ability to work with tools like Jupyter / Databricks notebooks to interactively work with data sets ## Description The Data Scientist role will be part of our Data Engineering & Analytics practice and will be focused on delivering best of breed solutions to our clients leveraging Advanced Analytics & Machine Learning tools and techniques. The candidate will also be part of the practice team and contribute to Competency development, driving innovation through various internal initiatives within the company. Candidate should have more than 6 years of experience with broad exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning, * Work on client projects to deliver Data insights using AI, ML and Advanced analytics techniques * Architect, Build & Deploy scalable Machine Learning models both on premise & on cloud platforms * Work with the business stakeholders to Identify problem statement, check availability of data and identify appropriate solutions to provide insights to address the problems and deliver better outcomes * Work closely with the data engineering teams to source and ingest data into data lakes * Look at semi structured and unstructured data and propose solutions to translate them into structured data format to provide better insights * Collaborate with S & D leadership to propose and execute ML POCs to deliver quick wins for the clients * Providing mentorship to junior resources within the data scientist community ## Related Videos - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Kubernetes dev is fun, but setup and ops isn't! See a fun PaaS alternative to push any code, ipynbs or even just data!](https://www.wearedevelopers.com/videos/732-kubernetes-dev-is-fun-but-setup-and-ops-isn-t-see-a-fun-paas-alternative-to-push-any-code-ipynbs-or-even-just-data) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Science on Software Data](https://www.wearedevelopers.com/videos/162-data-science-on-software-data) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## 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 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) - [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) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)