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
Lead design and delivery of large-scale AI/ML and Generative AI solutions for healthcare. Build LLM/RAG pipelines, agentic systems, feature pipelines, model serving and monitoring, and governance. Mentor data scientists and collaborate with engineering and product teams to operationalize reliable, responsible AI at enterprise scale.
Top Skills:
Agent FrameworksAWSAzureCptDatabricksFeature StoreFhirGCPHl7IcdKubernetesLlmModel Context Protocol (Mcp)PythonPyTorchRayRetrieval-Augmented Generation (Rag)SnomedSparkSQLTensorFlow
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Lead design, research, and productionization of advanced AI/ML and GenAI solutions for clinical documentation improvement. Drive model strategy, evaluation, and continuous improvement; partner with product, engineering, and clinical SMEs; ensure regulatory-compliant data use; influence AI roadmap; mentor data scientists and embed responsible AI practices across scalable healthcare products.
Top Skills:
Agent-Based SystemsCnnsGenaiLlmMamba ArchitecturesPrompt EngineeringPythonPyTorchRagSequence ModelsSQLTensorFlowXgboost
Fintech
Build and validate predictive models, analyze large structured and unstructured datasets, generate business insights, present analytic results to stakeholders, and develop tools to advance analytics capabilities.
Top Skills:
ExcelMicrosoft WordOutlookSalesforce CRM
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
