> Markdown version of [/jobs/ext/2183767-data-scientist](https://www.wearedevelopers.com/jobs/ext/2183767-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:** Kforce Inc. - **Location:** New York, NY, United States - **Contract:** Permanent contract - **Skills:** Data Integration, Extract Transform Load (ETL), Python (Programming Language), Machine Learning, Power BI, Tableau (Software) - **Published:** August 22, 2026 - **Apply:** https://www.dice.com/job-detail/10bb9789-a819-47b7-9e71-de51bf637716 ## About the Role The position is focused on leveraging customer and marketing data to drive acquisition, engagement, retention, and campaign performance. The role involves analyzing customer behavior, developing audience segments, tracking multi-channel marketing initiatives, building dashboards and KPI reporting, integrating data from multiple sources, and delivering actionable insights to improve marketing effectiveness and customer lifetime value. The ideal candidate combines strong analytical skills with business acumen, CRM expertise, and the ability to translate data into strategic recommendations for leadership., * Python & SQL * Machine Learning/Predictive Analytics * Customer Analytics & Segmentation * Marketing/CRM Analytics * Dashboarding (Power BI/Tableau) * Statistical Modeling * Business Stakeholder Communication * Data Integration & ETL ## Description Kforce has a client that is seeking a Data Scientist in Mediacom Park, NY. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [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) - [APIs and Architecture for scaling omnichannel payments](https://www.wearedevelopers.com/videos/90-apis-and-architecture-for-scaling-omnichannel-payments) - [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) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## 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) - [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) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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)