Job Title: Advanced Data Scientist [Multiple Positions Available]
Pocket Gems, Inc. has multiple positions available for Advanced Data Scientists in San Francisco, CA. Responsible for using Advanced SQL, R, python, tableau to run analysis to inform marketing spend and goals. Developing and implementing new lifetime value (LTV) models in python using algorithms including Linear Regression, Random Forest, XGBoost, LGBM, and neural networks – A. Evaluating existing game economy models using Python, SQL, R and proposing updates. Assessing and making data-driven suggestions using reports and Jupyter Notebook dashboards to fine-tune player experience. Building data pipelines and automating marketing dashboards to track campaign performance in real-time and project financial outcomes. Leveraging knowledge in statistics, such as normal/binomial distribution and confidence interval construction, to advise on the performance of LTV models in identifying high-spending players, which is further used to aid in setting the company’s annual financial goal. Designing and evaluating experiments such as AB Testing, prototyping, and investigative analysis in python. Using uplift modeling framework to identify churned players that can potentially come back through retargeting campaigns. Understand and apply the following machine learning techniques to aid in analysis: Regressions, Decision Trees, Clustering, Neural Networks, Collaborative Filtering, Support Vector Machine etc.
REQUIREMENTS: Master’s degree or equivalent in Mathematics, Physics, Economics, Analytics, Finance or a related quantitative field and one (1) year of experience in the job offered or related occupation.
1 year of experience with each of the following skills are required:
Proficient in Using R and Python;
Familiar with statistical theories including time series, causal inference, econometrics etc.;
Familiar with data visualization and analytical reporting using plotly or ggplot
Proficient in advanced SQL; complex joins, string parsing, and partition by’s;
Understand and be able to calculate business metrics such as lifetime value
Seasonality decomposition analysis
All experience may be acquired concurrently.
To apply, please send a resume to: Pocket Gems, Inc., Attn.: A. Horn, 220 Montgomery Street, Suite 750, San Francisco, CA 94104. Must respond with job requisition number 4564158.