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Job Location: San Francisco, CA
Jr. Data Scientist 10863 (H)
A leading professional networking and development company is seeking a Data Engineer. The successful candidate will design and analyze experiments to test new product ideas and convert the results into actionable product recommendations. The ideal candidate has prior experience with Hadoop, Tableau, SQL, and Java/C++. The company offers a great work environment!
Jr. Data Scientist Pay And Benefits
- Hourly pay: $30-$40/hr
- Worksite: Leading professional networking and development company (San Francisco, CA 94105, Open to Remote, Must work Pacific Standard Time hours)
- W2 Employment, Group Medical, Dental, Vision, Life
- 40 hours/week, 6 Month Assignment
Jr. Data Scientist Responsibilities
- Extract and analyze data to derive actionable insights.
- Formulate success metrics for completely novel products, socializing them and creating dashboards/reports to monitor them.
- Design and analyze experiments to test new product ideas and convert the results into actionable product recommendations.
- As an end consumer of the data, determine the tracking necessary to enable analytics of the products and features by working closely with product and engineering partners.
- Enable others in the organization to utilize your work by onboarding new metrics into the self-serve data system and the experimentation platform.
- Develop models and data-driven solutions that add material lift to principal performance metrics.
- Manage Revamp Marketing Data platform.
- Rewrite data layers.
- Create foundation layers.
Jr. Data Scientist Qualifications
- 2+ years of experience developing applications, software and web analytics.
- 2+ years of work experience providing analytical insights and business reports to product or business functions.
- 2+ years of experience with Tableau, QlikView, Microstrategy or other data visualization and BI dashboarding tools.
- 1+ years of experience programming in Java or Python and working with large datasets.
- BS/MS degree in a quantitative discipline: Statistics, Applied Mathematics, Operations Research, Computer Science, Engineering, or Economics.
- PhD in a quantitative discipline is preferred (statistics, applied mathematics, operations research, computer science, engineering, economics, etc.)
- Advanced skills in Java/C++ are preferred.
- Experience in Hadoop or other MapReduce paradigms and associated languages such as Pig, Sawzall, etc.
- Experience presenting insights to executive staff on a regular basis.
- Expertise in applied statistics and in at least one statistical software package, preferably R.
- Proficiency in SQL and in a Unix/Linux environment for automating processes with shell scripting.
- Ability to communicate findings clearly to both technical and non-technical audiences.
- Ability to translate business objectives into actionable analyses.
- Have a platform based on Legacy data/info.
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