- Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make valuable discoveries leading to prototype development and product improvement.
- Use a flexible, analytical approach to design, develop, and evaluate predictive models and advanced algorithms that lead to optimal value extraction from the data.
- Generate and test hypotheses and analyze and interpret the results of product experiments.
- Partner with Marketing, Product, Engineering, and cross-functional teams to inform, influence, support, and execute marketing and product strategy and investment decisions.
- Provide Business Intelligence (BI) and data visualization support, which includes, but limited to support for the online customer service dashboards and other ad-hoc requests requiring data analysis and visual support.
- Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
- The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
- Experience working with large datasets. xhmxlyz
- Business context in social marketing and other market areas
- Background with Meta, or similar companies like Amazon, Google.
- Degree is mandatory
- Masters in Mathematics, Statistics, a relevant technical field, or equivalent practical experience or Ph.
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Data Analytics - Menlo Park - Orangepeople LLC
Description
Below, you will find a complete breakdown of everything required of potential candidates, as well as how to apply Good luck.
Job Description:
Remote role.
8+ years of experience.
Masters degree required.
(
PST timezone preference)
Summary:
The main function of the Data Scientist is to produce innovative solutions driven by exploratory data analysis from complex and high-dimensional datasets.
Job Responsibilities:
Top 3 must-have HARD skills:
1 Experienced in either programming languages such as Python and/or R, big data tools such as Hadoop, or data visualization tools such as Tableau.
2 The ability to communicate effectively in writing, including conveying complex information and promoting in-depth engagement on course topics.
3 Experience working with large datasets.Good to have skills:
1 Business context in social marketing and other market areas
2 Background with Meta, or similar companies like Amazon, Google.
3
Skills:
Nice to have:
Education/Experience:
Additional Sills:
PDN-a0fe87fb-9dbd-451a-945e-fb17e8d2387f
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Data Scientist, Analytics
Only for registered members Menlo Park
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Data Engineer, Analytics
Full time Only for registered members Menlo Park
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Data Science Manager, Analytics
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Director of Data Analytics
Full time Only for registered members Redwood City
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Data Science Manager, Analytics
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Data Scientist, Product Analytics
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Data Engineering Manager, Analytics
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Data Scientist, Product Analytics
Full time Only for registered members Menlo Park
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Data Scientist, Product Analytics
Only for registered members Menlo Park
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Data Engineering Manager, Analytics
Only for registered members Menlo Park
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Data Engineering Manager, Analytics
Full time Only for registered members Menlo Park
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Product Analytics Data Scientist
Only for registered members Menlo Park
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Data Engineering Manager, Analytics
Full time Only for registered members Menlo Park
-
Data Scientist, Product Analytics
Only for registered members Menlo Park, CA
-
Data Engineer, Product Analytics
Only for registered members Menlo Park
-
Director of Data Analytics
Only for registered members Redwood City, CA
-
Data Engineering Manager, Analytics
Only for registered members Menlo Park
-
Data Engineering Manager, Analytics
Only for registered members Menlo Park, CA
-
Data Engineering Manager, Analytics
Only for registered members Menlo Park, CA
-
Data Engineering Manager, Analytics
Only for registered members Menlo Park, CA