Sr./Engineer, Data Scientist & Business Intelligence LOC; Cambridge, MA, US
Sr./Engineer, Data Scientist & Business Intelligence LOC; Cambridge, MA, US
Posted on : 09-08-2023
Job Type : Full Time only
Salary : 100,000 - 200,000
Job Description:
Drive business intelligence initiatives throughout the company
Develop and apply new predictive models, data mining methods, and algorithms to support a variety of Informatics projects
Serve as a technical expert in data science within the broader ecosystem
Collaborate with stakeholders and technical peers throughout
Identify and leverage all relevant in-house, commercial, and publicly available data resources
Help shape the growth of in-house data resources
Communicate findings internally and externally
Minimum Qualifications
Ph.D. in Data Science, Statistics, Computer Science, or a related discipline or equivalent experience with 0-2 years of experience in industry.
Experience in designing and delivering business intelligence dashboards and visualizations
Experience in architecting ETL pipelines
Deep technical expertise in data science, including:
Advanced data modeling and mining techniques including nonlinear regression and machine learning methods
Math and statistics including design of experiments (doe), statistical tests, maximum likelihood estimators, etc.
Multiple statistical, scripting, or programming languages (Python, R, SAS, and/or Matlab)
Relational and NoSQL databases (schemas, query languages)
Experience with REST APIs and JSON
Data visualization and effective data communication techniques
Software development best practices including agile, version control (preferably Git), and code testing
Familiarity with business intelligence tools (SpotFire, Tableau, Looker)
Strong written and oral communication skills, comfort with senior management interactions
Positive team building and teamwork skills: innate ability to influence, lead and inspire people, within function and beyond functional/company boundaries
Preferred Qualifications
3+ years of industrial experience
Basic understanding of molecular and cell biology
Database design and modeling
Experience in JavaScript, Node.JS, and web application development
Experience with infrastructure and services for High Performance Computing in the cloud (preferably AWS), including tools for distributed computing (preferably Hadoop or similar)
An established record of innovative research achievements reported in top-tier journals and/or patent applications
Competencies
Commitment to excellence and innovation
Flexibility, speed of learning, and adaptability in response to frequent change