Senior Data Scientist

LpRS; Boston (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

LpRS is seeking a senior data scientist in Boston to lead data-centered projects and guide a team of junior scientists. You will outline work, assign tasks, and monitor performance while applying advanced statistics to derive actionable business insights.

You will communicate findings in plain terms to inform strategy, mentor teammates, and stay current with data science trends to keep outputs relevant and impactful.

Qualifications

• Advanced degree in data science, statistics, computer science, or similar.
• Extensive experience as a data scientist.
• Proficiency in R or Python, with a preference for R.
• In-depth understanding of SQL.
• Competent in machine learning principles and techniques.
• History of devising and overseeing data-centered projects.
• Ability to relay insights in layman's terms for business use.
• Strong mentorship and teamwork leadership.
• Adherence to ethical standards.

Responsibilities

• Formulating, suggesting, and managing data-driven projects to drive business interests.
• Collating and cleaning data from various entities for junior data scientists.
• Delegating tasks to Junior Data Scientists to complete projects.
• Monitoring junior staff performance and providing guidance.
• Selecting and employing advanced statistical procedures for insights.
• Cross-validating models to ensure generalizability.
• Producing non-technical reports detailing project outcomes.
• Suggesting how insights inform business strategies.
• Staying informed about developments in data science to keep outputs relevant.

Skills

R or Python

SQL

Machine learning

Data storytelling

Mentorship

Team collaboration

Ethical standards

Education

Advanced degree in data science / statistics / CS

Job description

We are searching for a strategic and inquisitive senior data scientist to develop and run with data-centered projects. In keeping with this overarching aim, the senior data scientist will be required to outline work requirements, assign tasks to junior staff, and monitor performance within the team. You should also harness your mastery of Data Science to consult on various aspects of these and and projects.

• Formulating, suggesting, and managing data-driven projects which are geared at furthering the business's interests.
• Collating and cleaning data from various entities for later use by junior data scientists.
• Delegating tasks to Junior Data Scientists in order to realize the successful completion of projects.
• Monitoring the performance of Junior Data Scientists and providing them with practical guidance, as needed.
• Selecting and employing advanced statistical procedures to obtain actionable insights.
• Cross-validating models to ensure their generalizability.
• Producing and disseminating non-technical reports that detail the successes and limitations of each project.
• Suggesting ways in which insights obtained might be used to inform business strategies.
• Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

• Advanced degree in data science, statistics, computer science, or similar.
• Extensive experience as a data scientist.
• Proficiency in R or Python, where the former is preferred.
• In-depth understanding of SQL.
• Competent in machine learning principles and techniques.
• Demonstrable history of devising and overseeing data-centered projects.
• Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
• Outstanding supervision and mentorship abilities.
• Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
• Compliance with prevailing ethical standards.