What are the responsibilities and job description for the Data Scientist 3 position at Experis?
Our client is looking for a Data Scientist help with analytics on product, help release experiences/products and to interact with stakeholders on the marketplace side, analysis for groups. You will be working with Minecraft marketplace group, focus on optimization of post sale purchases.
Job Description:
The Data Scientist works on a team using statistical, mathematical, and predictive data models to bring insights and answers to complex business questions. They will apply their advance analytics and solution engineering skills to data to build solutions. They will work on data sets from various sources and focus on solving applied problems using Natural Language Processing, Text Mining, Data Mining & Machine Learning. A blend of experience in science and engineering skills, and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desired. This role will focus on monetization optimization for Minecraft Marketplace.
Requirements:
Adobe Analytics
To apply, reply to this job posting or send your resume to punam.priyadarsini@experis.com.
Job Description:
The Data Scientist works on a team using statistical, mathematical, and predictive data models to bring insights and answers to complex business questions. They will apply their advance analytics and solution engineering skills to data to build solutions. They will work on data sets from various sources and focus on solving applied problems using Natural Language Processing, Text Mining, Data Mining & Machine Learning. A blend of experience in science and engineering skills, and a proven track record of solving critical business problems through data science and strong analytical/quantitative and engineering skills is desired. This role will focus on monetization optimization for Minecraft Marketplace.
Requirements:
- 3-5 years of relevant experience
- Apply knowledge of machine learning techniques and concepts, including the design and implementation of advanced artificial intelligence, computational algorithms, and data science techniques.
- Participate in and lead the running of experiments and documentation of results in technical or research whitepapers.
- Communicates data findings to both business and IT leaders to influence how an organization approaches and meets business challenges of an evolving customer base and changing marketplace, using strong business acumen.
- Collaborates with database engineers and other scientists to develop, refine, and scale data management and analytics procedures, systems, workflows, best practices, and other issues.
- Conduct statistical modeling and experiment design, test and validate predictive models.
- Conducts scalable data research, on and off the cloud.
- Develop custom algorithms to solve analytical problems with data sets.
- Implement automated processes for scaling models.
- Build and maintain data pipelines.
Adobe Analytics
To apply, reply to this job posting or send your resume to punam.priyadarsini@experis.com.
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