Entefy seeks a Senior Data Scientist with a Master's or PhD in a relevant field, and 3+ years of experience. Responsibilities include delivering advanced analytics, leading teams, and extracting insights from datasets.
Entefy’s Senior Data Scientist is a highly visible position both internally and externally. Join the intelligence revolution, where we can push the state-of-the-art boundaries of data science. This is where deep experience and multi-dimensional insights intersect with an amazing opportunity to shape the future of productivity for people everywhere.
Skills and Experience:
We're not looking for “good.” Entefy is on a mission to find exceptional talent. The success of our mission depends on our team’s ability to be creatively analytical, insatiably curious, and absolutely fearless in tackling big challenges.
Requirements
- Master's degree in Computer Science, Mathematics, Statistics, Engineering, or a compatible field. PhD is preferred.
- 3+ years of applicable work experience.
- Demonstrable proficiency in Python, Scala, SQL, or R.
- Strong data visualization and reporting skills.
- Proven track record delivering high-value, advanced analytics.
- Experience leading the work of other data scientists or analysts is preferred.
- World-class ability to extract and communicate insights from real-world datasets.
- Startup agility and versatility.
Visit www.entefy.com and www.entefy.com/blog
Similar Jobs
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads end-to-end data science and machine learning initiatives, including predictive modeling, statistical analysis, healthcare data extraction, and production deployment. Partners with business and technical leaders to develop data science roadmaps, establishes modeling and analytics standards, evaluates emerging technologies, and mentors data science professionals. The role requires strong programming, SQL, MLOps, stakeholder communication, and advanced analytics expertise.
Top Skills:
AWSAzureDatabricksGCPMlopsPythonPyTorchRRelational DatabasesScalaSparkSQLTensorFlow
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Develop and maintain credit risk, underwriting, fraud, collections, and behavioral scoring models. Engineer features from financial, banking, healthcare claims, and alternative data. Own models from prototyping through production, ensuring interpretability, regulatory compliance, monitoring, validation, and recalibration. Collaborate with Data Engineering, Product, Risk, Compliance, and Finance teams to integrate model outputs and communicate insights.
Top Skills:
AWSGCPLimePythonRShapSnowflakeSQL
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the architecture, development, deployment, and governance of production machine learning and generative AI solutions. The role drives GenAI proof-of-concepts, establishes MLOps and responsible AI practices, mentors engineers, conducts technical reviews, and collaborates with cross-functional teams to deliver scalable AI capabilities. Expertise is required in statistical methods, deep learning, NLP or computer vision, cloud-native infrastructure, and production ML systems.
Top Skills:
AirflowSparkAWSAzureCi/CdDaskDiffusion ModelsDockerGansGCPHadoopKerasKubeflowKubernetesLangchainLanggraphLlmsMlflowMlopsPower BIPythonPyTorchTableauTensorFlowTfxTransformers
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus

