Data Scientist

Menlo Park
Machine Learning / Data Science / AI
October 5, 2020
Job ID:
Managing Branch:
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Candidate will be responsible for performing quantitative analysis to come up with qualitative solutions on two important products. Candidate should be able to measure the success of each product, result of the tool and how many consumers are engaging with each product.


You will get the chance to apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how employees interact with the client’s internal products. You will also partner with Product and Engineering teams to solve problems and identify trends and opportunities. Additionally, you will be expected to inform, influence, support, and execute the client’s product decisions and product launches.

The Data Scientist Analytics role has work across the following four areas:

1) Product Operation: forecasting and setting product team goals, designing and evaluating experiments, monitoring key product metrics, understanding root causes of changes in metrics, building and analyzing dashboards and reports, building key data sets to empower operational and exploratory analysis, evaluating and defining metrics.

2) Exploratory Analysis: proposing what to build in the next roadmap, understanding ecosystems, user behaviors, and long-term trends, identifying new levers to help move key metrics, building models of user behaviors for analysis or to power production systems.

3) Product Leadership: influencing product teams through presentation of data-based recommendations, communicating state of business, experiment results, etc. to product teams, spreading best practices to analytics and product teams.

4) Data Infrastructure: working in Hadoop and Hive primarily, sometimes MySQL, Oracle, and Vertica, automating analyses and authoring pipelines via SQL and Python based ETL framework



Bonus Skills:


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