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Lead Data Scientist – Cyber Security 49 views

Job Description:

MassMutual’s Advanced Analytics group is seeking an exceptional, highly motivated and self-directed data scientist. In this role, you will perform data-driven research, problem-solving, and algorithm development through the systematic application of mathematics, statistics, and computer science as well as cutting edge data technologies. The results of this work manifest themselves in a variety of ways, including interactive visualizations, presentations, publications, web applications, predictive algorithms, and APIs.

This is an opportunity to join a small but growing high performing team with diverse backgrounds in applied math, computer science, and physics that have been tasked with developing, maintaining and extracting knowledge from a strategic data asset. Their work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.

Overall Responsibility:

  • Set strategy and assume a leadership role in a domain of expertise
  • Develop roadmaps for projects and services, data, and technology
  • Oversee operations of algorithm and system deployments
  • Partner with executive leadership to ensure alignment of data science initiatives and company strategy
  • Lead projects and research initiatives
  • Develop algorithms and predictive models, create prototype systems, visualizations, and web applications
  • Design and analyze experiments
  • Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks, and systems
  • Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports, and presentations
  • Mentor junior team members 

Candidate Requirements:

  • Industry recognized expertise
  • Must have a background in Cybersecurity analytics with high-volume data.
  • 7+ years working with data and relevant computational frameworks and systems
  • 7+ years developing probabilistic models and machine learning algorithms
  • Proficient level of understanding in the following areas and an expert in at least one: machine learning, probability, and statistics (esp. Bayesian methods), natural language processing, operations research
  • Exceptional problem-solving skills and willingness to learn new concepts, methods, and technologies
  • Expert in data analysis using R or Python (NumPy, scipy, matplotlib, sci-kit-learn, pandas, etc.) programming languages
  • Knowledge of HTML/CSS/Javascript, d3.js and web application frameworks (Flask, Django, Play!, etc.)
  • Knowledge of NoSQL systems, Hadoop/map-reduce, Spark, Hbase, etc.
  • Experience in database design and SQL
  • Ability to work in a highly collaborative environment
  • Outstanding communication skills (publication history a plus)

 

Education:

  • M.S. or Ph.D. in a quantitative discipline (Computer Science, Statistics, Applied Mathematics, Electrical Engineering, Physics, etc.) is required

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