Senior Data Scientist

Lprs; Boston (MA); On-site; USD 130,000 - 175,000; Full time

Job summary

Lprs in Boston is seeking a senior data scientist to lead data-driven initiatives, guide junior staff, and translate complex analyses into actionable business insights. You will formulate projects, supervise a team, deploy ML models, ensure ethical standards, and communicate results in plain language to stakeholders.

Join a collaborative environment where strategic thinking and teamwork drive impact across the organization.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data science

Machine learning

Statistical analysis

Communication

Leadership

Mentoring

Teamwork

Ethics

Education

Advanced degree in data science

Advanced degree in statistics

Advanced degree in computer science

Tools

R

Python

SQL

Job description

Overview

We are searching for a strategic and inquisitive senior data scientist to develop and run 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 other projects.

Responsibilities

• 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.

Qualifications

• 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.