Master's degree in computer science, data science, or a related field (or 3+ years of direct experience)
Strong SQL and Python proficiency with assessments required
Deep understanding of data structures, data shapes, relationships, data quality, lineage, and consistency
Experience with standard data science techniques: exploratory data analysis, data cleaning and preprocessing, feature engineering, regression, classification, clustering, and time series analysis
Requirements:
Strong SQL and Python proficiency with assessments required
Deep understanding of data structures, data shapes, relationships, data quality, lineage, and consistency
Make data usable, reliable, and interpretable for analytics teams, BI, or the business
Apply standard data science techniques: exploratory data analysis, data cleaning and preprocessing, feature engineering, regression, classification, clustering, and time series analysis
Job description
Job Title : Data Scientist Location : Remote (Must be in PST hrs) Contract : 12 Month
Roles & Responsibilities
3+ minimum years of direct experience preferred; open to new grads with Master's degree in computer science, data science, or similar + direct school project experience with the below skills
Strong SQL AND Python required (SQL and Python assessment will be required)
Must have deep understanding of DATA STRUCTURES - understand how data is structured, stored and consumed so analytics and downstream reporting don't break (how and why of the data vs someone focused on modeling techniques): I.e.
Master's degree
Data shape, structure, relationships
Data quality, lineage, consistency
Making data usable, reliable and interpretable for analytics teams, BI or the business
Standard data science techniques are sufficient; exploratory data analysis, data cleaning and preprocessing, feature engineering, regression techniques, classification techniques, clustering/unsupervised learning, time series analysis, etc.
