Job Role

Principal Data Scientist

Science

Our client is a leading global information services provider that accelerates the pace of innovation by providing trusted insights and analytics to customers around the world, enabling them to discover, protect and commercialize new ideas faster. The Principal Data Scientist is a new role and part of the growing Search and Analytics function, a central technology team that develops best in class algorithmic services and search platforms for products to enable differentiated capabilities. Their scientists and engineers use Machine Learning, NLP, and Information Retrieval to solve problems along the entire Lifecycle of Innovation. From algorithms to classify content, to automating content extraction workflows, extracting and resolving entities, building recommender and decision support systems, predicting risk and outcomes, and enabling unique ways of finding content, these are just a few of the ways our client is fostering the productivity of their customers who lead innovation in the world.

Salary $175k to $200k plus bonus and benefits
Role type Permanent
Location Philadelphia, PA

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

Apply for Role