Data Scientist role at Mundiale, focusing on AI solutions and NLP technologies within a collaborative team environment. Responsibilities include model development and implementation.
About the role
- Data Scientist analyzing structured and unstructured datasets for actionable insights. Driving strategic decisions for Bombora's B2B data solutions.
Responsibilities
- 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 our systems, applications, models, and processes in consultation with higher-level staff
- Implement and/or maintain portions of a scientific programming project including writing documentation
- Able to present data and results to multiple stakeholders to influence 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
Requirements
- Bachelors or Masters in a STEM field; e.g. Mathematics, Statistics, Engineering Science, Data Science, Computer Science, Computer Engineering, etc.
- Masters or 2 years with Bachelor's degrees of work experience with analysis applications (extracting insights, performing statistical analysis, model development, or solving business problems) and coding (Python, SQL)
- Proficiency in Python, SQL, and 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
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
- Team Lunches / Outings / Events (Yes! We found a way to do it virtually!)
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