Principal Member of Technical Staff - Data Science

5 - 7 years experience  •  IT Consulting/Services

Salary depends on experience
Posted on 09/22/17
Watertown, MA
5 - 7 years experience
IT Consulting/Services
Salary depends on experience
Posted on 09/22/17

Position Summary:

This individual will serve as technical leader for athenahealth’s data scientists focused on predictive modeling and related projects.  Athena is a highly data driven company, and we (the analytics division) also empower our clients to be data-driven through reports, dashboards and insights.  In many cases, the most impactful insights come from the right predictive model applied to the right metric and communicated through the right channel.  As the Data Science leader for predictive analytics, you will guide a team of data scientists, helping them identify the most impactful use cases, the most relevant models, best technologies for implementation, and clearest modes of communication for the application at hand.  We are developing both general capabilities and flexible libraries to facilitate predictive modeling across various applications (eg, a forecasting suite that will bolt onto any number of internal or external operational or performance metrics), as well as deep, bespoke models in specific high-value areas (eg, modeling client attrition as an input into revenue forecasting or call volume to predict staffing levels).
Keywords applicable to you include:  Bayesian learning and inference; time series analysis: Markov chains, hidden Markov models, dynamic Bayesian networks; anomaly detection; stochastic methods
Responsibilities include but are not limited to:
45% [Primary Function] Technical Execution

  • Identify opportunities for different predictive modeling techniques and evaluate which are best
  • Lead specification, design, and implementation of advanced analytics projects
  • Stay abreast and evaluate the latest in analytics technologies and determine how to incorporate these into our data science best practices
  • Understand and follow conventions and best practices for analysis, statistics, modeling, coding, and architecture; hold other members of the team accountable for doing so
  • Develop and adhere to rigorous testing of statistics, models, and code
  • Develop training materials and educate others on best practices

40% Contributions to the Team

  • Act as subject matter expert for advanced analytics, specifically within the domain of predictive modeling
  • Develop roadmaps for advanced analytics projects and support decomposition into scrum artifacts such as epics, stories, and tasks; estimate size of tasks for project management
  • Integrate with and support the team in executing developed roadmaps; volunteer for work in the backlog; coordinate efforts across the team to ensure completion and effectiveness
  • Participate and contribute to scrum meetings i.e. daily stand-up, sprint planning, readouts and retrospectives
  • Participate in team member interview process as needed

15% Cross functional Coordination and Communication

  • Build strong relationships with cross-functional team members and business stakeholders   
  • Share business and technical learnings with the broader engineering and product organization, while adapting approach for different audiences
  • Be an evangelist for data science within the company, and help non-technical partners understand how they can benefit from data science
  • Work collaboratively across the Technology, UX, and Product organizations to ensure alignment towards business goals

Education, Experience and Skills Required:

  • Advanced degree (PHD, MS) in relevant field. For example, but not limited to: physics, math, or computer science
  • 5+ years of professional experience designing, building, training, deploying and evaluating predictive models in production software environments at scale
  • Excellent verbal communication and business writing skills
  • Experience collaborating with cross functional teams
  • Healthcareexperiencepreferred, but not required
  • Agile/Scrum methodology experiencepreferred
  • Familiarity with Linux/Unix/Shell environments
  • Proficiency with at least one programming language (such as Perl, python, C/C++, java)
  • Proficiency with data analysis languages and tools such as Python/Jupityr, R/RStudio
  • Proficiency with relational databases and SQL including query analysis and optimization
  • Experience with big data and analysis technologiespreferred such as Hadoop, Spark, H2O
  • AWS experiencepreferred

Behaviors and Abilities Required:

  • You love to own & lead dynamic, important work, and have always excelled regardless of your prior field or role
  • You find it difficult to turn down a good challenge; you ask a lot of questions & appreciate when others do so too
  • You excel at building relationships and influencing at senior leadership levels
  • Possess an eagerness to learn and disseminate new knowledge
  • Have the ability to communicate technical information to non-technical audiences
  • Ability to be flexible and change with the environment, industry and business demands
  • Strong project management abilities, ideally using agile methodologies.


Not the right job?
Join Ladders to find it.
With a free Ladders account, you can find the best jobs for you and be found by over 20,0000 recruiters.