Bombora, the leading global B2B intent data and solutions provider, is powered by the world’s largest publisher data co-op. Our data allows sales and marketing teams to understand which companies are in-market for their products and empowers them to execute their strategies across the entire customer lifecycle from prospecting, sales enablement to marketing/advertising and customer retention. We process billions of interactions daily to confidently identify intent signals from companies around the world.
Bombora is growing and we need you to help us succeed!As a Data Scientist at Bombora, you will be part of the Data Science and Machine Learning (DSML) team, a cross functional team that collaborates with multiple stakeholders to fulfill our ambitious and mission critical project of enhancing our internal models that power all of Bombora’s product lines. You will champion the use of computational statistical techniques to assist the team’s efforts to analyze and interpret Bombora’s significant reserves of B2B intent data
You will…
- Perform analyses of large structured and unstructured datasets to solve complex business problems utilizing advanced statistical techniques and mathematical analyses
- Design and implement modifications to the systems, applications, models, and processes in consultation with higher-level staff
- Monitor the performance of applications and models and respond to problems by diagnosing and correcting errors in logic, coding, and data changes
- Implement and/or maintain portions of a scientific programming project including writing documentation
- Able to present data to multiple stakeholders to develop strategies for our products
- Participate in daily stand-ups, story planning, reviews, retrospectives, and the occasional outing to nearby local cuisine and / or culture
- Learn, grow and participate as a member of a passionate distributed team that strives for knowledge, camaraderie and impact
You have…
- Bachelors or Masters in a STEM field; e.g. 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 skillsusing 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
Perks and Benefits
- Health / Dental / Vision
- Flexible Spending / Health Spending Accounts
- Flexible Vacation / Paid Holidays / Summer Fridays
- Education / Tuition Assistance / Annual Learning Stipend
- 401K
- Generous Parental Leave (16 weeks primary/12 secondary)
- Commuter Benefits
- On Demand Learning (Udemy)
- Team Lunches / Outings / Events (Yes! We found a way to do virtually!)
Compensation Package
- The salary range for this position is $145,000.00 to $160,000.00 Actual compensation may vary and will be based on a candidate’s qualifications, skills, experience, and location.
- Equity
At Bombora, we embrace diversity because it breeds innovation.
Bombora is an equal-opportunity employer and participates in E-Verify. Employment offers are contingent upon completion of successful background checks.
