Lead Data Scientist – Cyber Security 1234 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