Data Scientist
One10
midpermanentdata United States Yesterday via LinkedIn
120,000 - 120,000 USD/annual
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Data ScienceMachine LearningPredictive ModelingPythonSQLAzurePower BICI/CDBehavioral AnalyticsApache Spark
About the role
Role overview
One10 is hiring a Data Scientist to join its analytics team. You’ll build advanced predictive models, shape the future analytics solution set, and deliver client-facing insights in behavioral analytics, working closely with a Sr. Director of Data Science.
Responsibilities
- Develop and deploy predictive models, machine learning algorithms, and statistical analyses for measurement, loyalty analytics, and program optimization
- Collaborate cross-functionally to integrate data science into client solutions and internal products
- Translate complex data into clear insights and narratives using Power BI
- Help evolve the data stack, influencing technologies such as Microsoft Fabric, Apache Spark, and Neo4j
- Work in modern cloud-based data environments
- Engage with clients to understand business needs and deliver tailored analytics solutions
- Present insights directly to clients (occasional travel ~5–10%)
Requirements
- 2+ years of experience in data science, advanced analytics, or a related field
- Proficiency in Python or R and SQL
- Experience with cloud platforms (preferably Azure)
- Familiarity with Power BI (or similar visualization/communication tools)
- Strong communication skills and comfort presenting to stakeholders/clients
- Must be able to work U.S. EST/CT core business hours consistently and be authorized to work in the United States (no visa sponsorship)
Nice-to-haves
- Interest in bringing models into production-ready tools using CI/CD and Microsoft technologies
- Comfort working with and contributing to a data stack including Microsoft Fabric, Apache Spark, and Neo4j
About One10
One10 is a company focused on delivering innovative, high-quality solutions that create positive impact for customers and clients. It emphasizes continuous improvement, employee growth, and building better products through data-driven innovation and collaboration.
Scraped 5/15/2026