Careers

Interested in joining a high performing team that creates knowledge from data and builds systems that solve hard problems?

Head of Data Engineering

MassMutual’s Data Science team is looking for a Head of Data Engineering. In this role reporting to the VP of Data Science, the incumbent will act as a strategist, innovator and leader. You will define the strategic goals and assume responsibility for developing a cutting-edge enterprise data environment that enables and scales what has been widely recognized as the leading data science and analytics capability in the life insurance industry. More specifically, you will manage a growing group of 25 and define the strategic goals of 5 small teams owning the company’s data continuum: Data ingestion, Data platforms (Big Data, SQL and Streaming), Data Integration, Data Management and governance, and DevOps.

Essential Responsibilities

  • Create and implement a comprehensive data engineering strategy to enhance the practice across the enterprise.
  • Provide strategic support to internal constituencies such as data science, digital marketing, mobile and digital development.
  • Lead the design, build, and operations of data ingestion and integration pipelines. Examples include database extracts, application server logs, scanned images, voice recordings, Twitter streams, websites, and health sensor data.
  • Provide strategy and guidance for the design, building and measurement of complex ETL jobs to process disparate, dirty data sources and form a high integrity, high quality, clean data asset.
  • Establish framework to support and scale big data infrastructure (Cloudera CDH 5, MongoDB, and HP Vertica)
  • Monitor and track data quality and flow dynamics
  • Guide the design and build of web based APIs to facilitate easy access to data
  • Coordinate data governance and management work through the establishment of a working group composed of multiple stakeholder constituencies.
  • Define and execute goals
  • Promote a high performing, collaborative, and agile culture
  • Lead the growth of the function via active recruitment and employee development.

Skills, Experience, Education

  • Degree in Computer Science or Engineering (M.S. or Ph.D. preferred)
  • 5-7+ years experience growing and leading a data engineering function in a fast paced environment.
  • A proven strategist with a track record of transformational execution
  • An inspiring leader and talent developer
  • A passion for open source software
  • Prior experience developing and administering large data systems
  • Prior experience coding and scripting (Python/Java/Scala/Go/Bash/Git)
  • Prior experience in data modeling and administration of NoSQL and SQL databases.
  • Prior hands-on experience with at least one these: Hadoop, MapReduce, HDFS, HBase, Hive, Kafka, Spark, Vertica, SQL
  • Prior experience with cloud infrastructure and devops workflows
  • Outstanding written and verbal communication skills
  • Comfortable working in ambiguity, capable of establishing and growing functions and systems from the ground up
  • An action-oriented, driven, entrepreneurial mindset with prior start-up experience.

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Head of Data Science, Digital

MassMutual’s Data Science group is seeking an exceptional, highly motivated and self-directed lead 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. 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 growing high performing team with diverse backgrounds in applied math, computer science, biostatistics, statistics, and physics that have been tasked with developing, maintaining and extracting knowledge from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.

Essential Responsibilities

  • 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
  • Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
  • Develop algorithms and predictive models, create prototype systems, visualizations, and web applications
  • Design and analyze experiments
  • Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
  • Lead short term projects and participate in long term research initiatives
  • Mentor junior team members
  • Thrive in a highly collaborative, fast moving, ambiguous environment

Desired Skills and Experience

  • 7+ years working with data and relevant computational frameworks and systems
  • Expert level understanding in any of the following areas: machine learning, probability and statistics (esp. Bayesian methods), natural language processing, operations research
  • 7+ years developing of probabilistic models and machine learning algorithms
  • Exceptional problem solving skills and willingness to learn new concepts, methods, and technologies
  • Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-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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Senior Data Scientist

MassMutual’s Data Science group is seeking an exceptional, highly motivated and self-directed senior 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. 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 growing high performing team with diverse backgrounds in applied math, computer science biostatistics, statistics, and physics that have been tasked with developing, maintaining and extracting knowledge from a strategic data asset. Our work revolves around studying fundamental and high impact business questions that directly impact the direction of the company and industry at large.

Essential Responsibilities

  • Assemble data sets from disparate sources and analyze using appropriate quantitative methodologies, computational frameworks and systems
  • Develop algorithms and predictive models, create prototype systems, visualizations, and web applications
  • Design and analyze experiments
  • Disseminate findings to non-technical audiences through a variety of media, including interactive visualizations, reports and presentations
  • Lead short term projects and participate in long term research initiatives
  • Mentor junior team members
  • Thrive in a highly collaborative, fast moving, ambiguous environment.

Desired Skills and Experience

  • 7+ years working with data and relevant computational frameworks and systems
  • Expert level understanding in any of the following areas: machine learning, probability and statistics (esp. Bayesian methods), natural language processing, operations research
  • 7+ years developing of probabilistic models and machine learning algorithms
  • Exceptional problem solving skills and willingness to learn new concepts, methods, and technologies
  • Expert in data analysis using R or Python (numpy, scipy, matplotlib, scikit-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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