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

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

statistical analysismodel developmentPythonSQLGitJupytermatplotlibggplotmachine learningdeep learning

Soft Skills

data presentationstakeholder influenceteam collaborationcommunicationproblem-solving