Senior Data Scientist

  • R5717
  • Boston, MA, United States

Senior Data Scientist 


As a Senior Data Scientist, you will provide cutting-edge algorithms, visualizations, and expert insight for business challenges throughout the organization. You’ll partner with business stakeholders to define problems and develop models that impact our growth across all markets and products. You will partner cross-functionally across Finance, Sales, Business Ops, Practices, and Marketing as well as Senior leadership.

About the Team

The team is composed  of experts in financial, customer, and predictive analytics. We partner closely with nearly all aspects of the business including Data Engineering, Finance, Marketing, and Customer Experience. As a leader on the team, you will have the opportunity to answer the most highly visible and challenging business questions in the organization. 

Some of the tools we use are R, Python, Snowflake, DataRobot, Tableau, dbt

About the Role

This role requires a mixture of business acumen and technical expertise, along with an ability to build strong partnerships with business partners.  You will take a leadership role in coaching and enabling your peers. Success in the role will require a self-starter with a passion for collaborating with others to solve problems. The ideal candidate will be an inquisitive learner with a passion for data science who can collaborate with stakeholders across functional areas while aligning to corporate objectives.  

In this role, you will:

  • Partner with various business teams such as; Marketing, Finance, Customer Success, and Sales to deliver impactful Data Science solutions.

  • Manage stakeholders through the lifecycle of data science projects from ideation to action.

  • Identify areas to evolve and improve the efficiency and effectiveness of existing data artifacts 

  • Collaborate with members of the Data Analytics team to help drive data science strategy and analytics adoption across the organization.

  • Deliver a range of custom data science projects that may include forecasting, customer propensity modeling casual inference; customer lifetime value; share of wallet ect. 

  • Provide clear visualizations and present analyses to Executive-Level Stakeholders, using Business Intelligence tools and predictive analytics to drive key decisions.

  • Participate in ad hoc projects around strategic initiatives. 

The skills you’ll bring include:

  • At least 6 years work experience in Data Science applications.

  • Exceptional ability framing Data Science solutions for business questions. 

  • Strong proficiency with SQL and proficiency in either R, Python, and/or SAS.

  • Experience building predictive models.

  • Strong business acumen and communication skills, ability to translate complex modeling into explainale business recommendations.

  • Fast learner with high attention to detail.

  • Top-notch work ethic and ability to work independently and meet deadlines in a fast-paced environment. 

  • Bachelor’s degree in Mathematics, Business, Economics, or related discipline required, MS preferred.

We know that the best ideas and solutions come from multi-dimensional teams. Teams reflecting a variety of backgrounds and professional experiences. If you are excited about this role and feel your experience can make an impact, please don’t be shy - apply today.

About Rapid7


Rapid7 is creating a more secure digital future for all by helping organizations strengthen their security programs in the face of accelerating digital transformation. Our portfolio of best-in-class solutions empowers security professionals to manage risk and eliminate threats across the entire threat landscape from apps to the cloud to traditional infrastructure to the dark web. We foster open source communities and cutting-edge research–using these insights to optimize our products and arm the global security community with the latest in attackers methods. Trusted by more than 10,000 customers worldwide, our industry-leading solutions and services help businesses stay ahead of attackers, ahead of the competition, and future-ready for what’s next.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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