Data Scientist (Remote)

$80,000 - $110,000/Yr

Jun Group - New York, NY

Full-time - Mid Level

Remote - New York, NY

Real Estate

About the position

The Data Scientist position at Jun Group involves collaborating with various teams to analyze consumer behavior and campaign performance, utilizing quantitative research methods. The role is focused on enhancing data collection, designing surveys, and supporting machine learning initiatives, all while working in a fully remote environment.

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
• Utilize quantitative methods including descriptive analysis, univariate and multivariate tests, and statistical modeling 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
• Conduct ad-hoc analysis and present results clearly

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
• Comfortable writing SQL and manipulating large datasets in a data warehouse like BigQuery, Redshift, Snowflake, etc.
• Proficient in Python and using popular machine learning tools like Tensorflow, Keras, PyTorch, etc.
• Understanding of deep learning and traditional machine learning algorithms
• Experience with data visualization tools like Datastudio, Looker, Tableau, etc.
• Excellent communication and writing skills, particularly the ability to communicate technical content to a non-technical audience

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 needed to work effectively from home