Remote Data Scientist

Summary

Join Jun Group, a technology company building a world where consumers are in control of their data and advertisers can reach them directly. We're looking for a Data Engineer to join our machine learning and data science team. This position is full-time and 100% remote with the option of working on-site from our NYC headquarters.

Requirements

• Advanced quantitative degree in Data Science, Statistics, Psychology, Mathematics, or related field or relevant combination of education or professional experience
• 3+ years of relevant professional experience
• Practical knowledge of research methods, survey methodology, probability, and statistical modeling
• You're comfortable writing SQL and manipulating large, real world datasets in a data warehouse like BigQuery, Redshift, Snowflake, etc
• You’re comfortable working with Python and using popular machine learning tools like Tensorflow, Keras, PyTorch, etc
• Understanding of deep learning as well as traditional machine learning algorithms
• Experience with data visualization tools like Datastudio, Looker, Tableau, etc
• Excellent communication and writing skills, in particular, the ability to communicate technical content to a non-technical audience

Responsibilities

• Work with product and data engineering stakeholders to identify key metrics and opportunities for improving business processes and drive product strategy
• Take on projects end-to-end from business question all the way to production
• Enhance data collection procedures to include information that is relevant for building analytical systems and predictive models
• Design and conduct surveys for market research, audience insights, and machine learning modeling
• Evaluate surveys, methods, and performance to improve future surveys and remove sampling bias
• Process, cleanse, and verify the integrity of data used for analysis and modeling
• Apply quantitative methods including but not limited to descriptive analysis univariate and multivariate tests, statistical modeling etc. to find opportunities to optimize ad campaign performance and audience engagement
• Support the machine learning team in designing machine learning algorithms
• Create data visualizations, reports, dashboards, and data audits
• Doing ad-hoc analysis and presenting results in a clear manner

Benefits

• A highly competitive compensation package
• 401k with company match
• Paid vacation, work from home, and sick days
• Designated time to work on company-related projects you feel strongly about
• Macbook Pros and any other equipment you need to work effectively from home