Full-Time Data Scientist

The true B2B data pioneer, Bombora connects the B2B ecosystem in a one-of-a-kind Data Cooperative—enabling a holistic view of an account’s research and consumption behavior.

From this data, Bombora derives actionable insights that make it possible for brands, agencies, and publishers to identify, understand, and identify their prospects and customers, throughout the buyer and user experience, across the activation platforms of choice.

Bombora is continually recognized by analyst firms as a leader in Intent data powering GTM data solutions.

Responsibilities:

1. Perform analyses of large structured and unstructured datasets to solve complex business problems utilizing advanced statistical techniques and mathematical analyses
2. Design and implement modifications to the systems, applications, models, and processes in consultation with higher-level staff
3. Monitor the performance of applications and models and respond to problems by diagnosing and correcting errors in logic, coding, and data changes
4. Implement and/or maintain portions of a scientific programming project including writing documentation
5. Able to present data to multiple stakeholders to develop strategies for our products
6. Participate in daily stand-ups, story planning, reviews, retrospectives, and the occasional outing to nearby local cuisine and / or culture
7. Learn, grow and participate as a member of a passionate distributed team that strives for knowledge, camaraderie and impact

Qualifications:

• Bachelor's or Master's in a STEM field (Mathematics, Physics, Economics, Engineering Science, Data Science, Computer Science, Computer Engineering, etc.)
• 2 years with Masters or 5 years with Bachelor's degrees of work experience with analysis applications (extracting insights, performing statistical analysis, or solving business problems) and coding (Python, SQL)
• Proficient in Python, SQL, Git
• Documentation and visualization skills using Jupyter, matplotlib, ggplot etc
• Foundational Knowledge in Probability, Linear Algebra, Machine learning (and deep learning) algorithms, computational data structures and algorithms
• Experience in ML Frameworks / Libraries: Pytorch, Tensorflow, PySpark, scikit-learn, etc
• Experience with cloud platforms. Experience with Google Cloud Platform technologies such as BigQuery, and Vertex AI is a nice to have

Bonus points for:

• Ph.D in a STEM field
• Graphical Theory + Inference: knowledge and experience with common graphical models, e.g. HMM, markov random field, and bayesian network
• Knowledge of state of the art natural language understanding methods
• Committed to live and breathe by test driven development (TDD)
• Algorithms / Data Structures: Design patterns, efficiency, using the right abstraction for the task
• Functional Programming: filters and maps, currying and partial evaluation, group-by and reduce-by

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