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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Scientist - **Company:** Satsyil Corporation - **Location:** United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Algorithm Design, Amazon Web Services, Big Data, Network Analysis, Cloud Computing, Extract Transform Load (ETL), Data Security, Data Systems, Data Visualization, R (Programming Language), Python (Programming Language), Machine Learning, Natural Language Processing, Power BI, Azure Machine Learning, SQL Databases, Tableau (Software), Unstructured Data, Data Processing, Matplotlib, Data Analytics, Machine Learning Operations, Data Pipelines - **Published:** August 8, 2026 - **Apply:** https://www.dice.com/job-detail/16364e2f-4d2f-4431-a51b-d725db1495f8 ## About the Role * Ten (10) years developing and deploying analytical models for S&T or business requirements within a DoW/DoD organization. * Ten (10) years in data science: statistical analysis, predictive modeling, machine learning, and algorithm development using Python, R, and SQL. * Ten (10) years in data wrangling and building data pipelines (batch and streaming), ETL, and integrating structured and unstructured data from multiple sources. * Experience on at least two (2) distinct projects applying advanced analytics (e.g., NLP, Network Analysis, Bibliometric Analysis) to S&T portfolio data. * Ten (10) years using data visualization tools (Tableau, Power BI, matplotlib) to communicate findings to stakeholders. * Five (5) years with big data technologies and cloud-based analytics platforms. * Five (5) years applying operational analytics relevant to workforce, logistics, or readiness missions. * Verifiable experience designing and deploying data solutions compliant with federal data security and governance frameworks (NIST SP 800-53, FISMA, DoD RMF). ## Description Design, develop, and deploy advanced analytics and AI/ML models against commercial Science & Technology (S&T) data to enable data-driven S&T portfolio decisions for the ONR Comptroller''s Data & Analytics Division. Works directly with Government expert analysts to answer strategic questions and turn data into insight., * Identify, acquire, and curate relevant commercial S&T data sets (publications, grants, patents, startup investment activity, company details, informal S&T literature) and engage directly with ONR expert analysts. * Develop and deploy advanced analytics - predictive, prescriptive, descriptive, and cognitive/statistical/modeling methods - plus dashboards and AI/ML models in collaboration with ONR stakeholders. * Build ML/AI models including Natural Language Processing (NLP) to analyze unstructured text, using platforms such as AWS SageMaker or Azure Machine Learning. * Support a robust data quality program (profiling, cleansing, enrichment, stewardship) and automated quality checks at ingestion to flag anomalies, schema drift, or corrupted inputs. * Automate reports and configure dashboards providing real-time insight into global research trends; support onboarding and training toward a data-literate workforce. * Support Automated MLOps: monitor deployed models for data drift/model decay, trigger automated retraining when accuracy drops below baseline, and maintain a version-controlled Model Registry. ## Related Videos - [Python Data Visualization @ Deepnote (w/ PyViz overview)](https://www.wearedevelopers.com/videos/113-python-data-visualization-deepnote-w-pyviz-overview) - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## 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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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 We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Trustworthy AI Starts at Deployment: 5 Checks Before You Ship](https://www.wearedevelopers.com/magazine/753-trustworthy-ai-starts-at-deployment-5-checks-before-you-ship)