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Job Title: Lead Data Scientist
Job Duties: CultureScience, Inc. in San Francisco, CA is seeking a Lead Data Scientist to develop and implement dashboards and visualizations that reflect analytics and data modeling for our products. Individual will apply advanced theoretical knowledge of data science and quantitative analytics principles and concepts, as well as experience with data mining and data visualization tools, to perform the duties of the position.
Other job responsibilities and duties include:
- Developing our data processing pipeline.
- Working with various datasets that we ingest and influence our product roadmap.
- Building machine learning models to enable companies to understand organizational metrics.
- Conducting statistical analysis to answer questions about our data and power our product.
This position has no direct reports and does not supervise any other personnel.
Minimum Requirements: Master’s degree in Data Science, Mathematics, Quantitative Analysis or Management, Computer Science, Economics, Engineering, or any related field of study, plus at least two (2) years of experience in the job offered or in any related position(s) in which the required experience was gained.
Qualified applicants must also have demonstrable proficiency, skill, experience, or knowledge with the following:
1. Data manipulation skills with demonstrated proficiency in SQL.
2. Demonstrated experience with statistical modeling language such as Python or R.
3. Developing machine learning models.
4. Data mining and data visualization using the following data visualization tools and languages: Periscope and Python.
5. VBA to manipulate, pull, and process data, and automate repeatable tasks.
No travel required. Work from Home (WFH) benefit available.
Additional Information:
- Job Site: 2261 Market Street #5332, San Francisco, CA 94114
- Salary: $152,000
- Email Resumes To: Careers@culturescience.io
- EOE.
- Must be legally authorized to work in the United States without sponsorship
Every day, our team comes to work with one goal - build tools that make the workday easier, happier, and more productive.
Here's who we've got working on it!
Co-Founder / CEO
Co-Founder / CTO
Co-Founder / CCO
Engineer
Data Scientist
Designer
Advisor (Lyft)
Advisor (Microsoft/HP/fabric)
Anna Silverman
Advisor (Snap/Tesla)
Eli Portnoy