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 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
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Build and support an advocate performance data platform using scalable pipelines, semantic models, governed metrics, and machine learning capabilities. Develop AI-ready data products, integrate operational and coaching data, establish data quality and lineage controls, and enable near-real-time performance insights. Deploy and maintain production ML solutions through MLOps, automation, monitoring, and CI/CD while collaborating with and mentoring technical teams.
Top Skills:
Ci/CdDatabricksDelta LakeGithub ActionsInfrastructure-As-CodeKafkaMlflowMlopsPysparkPythonSnowflakeSparkSpark Declarative PipelinesSQL
.jpg){kind=logo}
Healthtech • Social Impact • Software • Telehealth
Own product analytics for a healthcare platform by translating business questions into research plans, uncovering insights, modeling feature impacts, defining success criteria, and leading A/B testing. Partner with Product, Data Engineering, Finance, Clinical, and Operations teams to influence roadmap decisions, improve provider experience and quality, and optimize marketplace performance.
Top Skills:
A/B TestingAirflowDbtHexLookerPythonRTableau
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory
