Principal Data Scientist

Comoro Ltd; Philadelphia (Philadelphia County); On-site; USD 120,000 - 150,000; Full time

Job summary

Comoro Ltd is seeking an experienced principal-level applied scientist to lead large scale, complex data science projects in Philadelphia. The ideal candidate will have a strong background in Machine Learning, NLP, and Statistical methodologies, with at least 7 years of proven application in an industrial context. Responsibilities include owning research areas, mentoring team members, and working directly with product managers to innovate game-changing product features. The position requires excellent interpersonal skills and the ability to communicate effectively across various business functions.

Qualifications

• 7+ years experience in ML and NLP applications.
• Proven ability to launch ML models in production.
• Strong communication skills with technical and non-technical stakeholders.

Responsibilities

• Lead large scale, complex data science projects.
• Own research areas and mentor scientists and engineers.
• Collaborate with product managers and business partners to innovate product features.

Skills

Machine Learning

NLP

Deep Learning

Statistical methodologies

Java

Python

R

SAS

Data-driven decision making

Interpersonal skills

Education

Masters degree in Computer Science or related field

PhD in Machine Learning or related field

Job description

We are seeking an experienced principal-level applied scientist to lead large scale, complex data science projects. You will work closely with product managers and business partners across the company to identify opportunities to innovate and build game-changing product features using Machine Learning, Information Retrieval, NLP and Predictive Analytics. You will own one or more research areas, represent the team in executive-level meetings, mentor other scientists and engineers in the team, and lead the research and delivery of models in close collaboration with scientists and engineers.

The right candidate will have a deep technical background along with mentorship and leadership experience, and a proven track record proposing innovative features and platforms, securing funding for their ideas, and delivering significant, quantifiable business impact. The candidate will have exceptional interpersonal and negotiation skills, ability to earn the trust of others, and to move fast and make effective decisions in the presence of significant ambiguity.

Basic Qualifications

• Masters degree in Computer Science, Information Systems, Statistics, Mathematics, Engineering or a related field
• Excellent understanding of ML, NLP, Deep Learning, and statistical methodologies
• Excellent programming skills (Java/Python/R/SaS) and understanding of computational complexity and data structures
• 7+ years proven track record in the application of ML and NLP in an industrial setting
• Excellent analytical and quantitative skills and strong bias towards data-driven decision making
• Proven ability to understand complex business problems, identifying opportunities for ML / AI and launching models in production
• Experience owning deliverables for machine learning, analytics or large-scale data-driven product features
• Ability to understand and discuss architectural concepts, tradeoffs and new opportunities with technical team members
• Strong communication and collaboration skills, with a proven ability to work across functions and influence senior leaders
• Ability to comfortably and confidently present to all levels and to work with both technical and non-technical stakeholders across multiple business units including at the executive level
• Proven track record of innovating on behalf of customers and using metrics to prove new ideas and to drive prioritization and funding decisions
• Established history of building successful, large-scale products from scratch
• Ability to test ideas and adapt methods quickly end to end from data extraction to implementation and validation

Preferred Qualifications

• PhD in Machine Learning or a related field
• Experience working in agile enabled teams
• Familiarity with academic research, patents, trademarks or life sciences data sets
• Experience with search engines, classification algorithms, recommendation systems, and relevance evaluation methodologies a plus