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
Develop machine learning, predictive, graph, geospatial, and fraud, waste, and abuse detection models for federal healthcare customers. Responsibilities include data preparation, model training, data mining, visualization, technology evaluation, and customer consultation. The role requires Python, SQL, R, cloud data management, big data, NLP, and advanced analytics expertise, with preferred experience in Databricks, AWS SageMaker, Tableau, and healthcare claims data.
Top Skills:
Aws SagemakerBig DataCloud Data ManagementDatabricksDeep LearningGeospatial AnalyticsGraph AnalyticsMachine LearningNatural Language ProcessingPythonRSQLTableau
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
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
