
Sr. Data Scientist
1 week ago
The Sr. Data Scientist must have strong experience using various data mining/data analysis methods, using different data tools, building and implementing models, using/creating algorithms and creating/running simulations. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes.
Job responsibilities
- Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Coordinate with different functional teams to implement models and monitor outcomes.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
- This position will also help develop and deliver training modules to facilitate the roll-out of the new or redesigned processes & continuous improvements initiative
Qualifications
- Graduate of BS Math, Computer Science, Information Technology, Business courses and the like
- At least 5 years of experience in Data Science
- Proficient in Python or R
- Experience with SageMaker, Power BI, and AWS is a plus but not required.
- Has experience in deployment, machine learning projects, storytelling, demos, and analysis
- Project management experience
- Facilitate and help teams to create process maps, evaluate process "as is" state and Identify opportunities to increase the efficiency, effectiveness and business impact of assigned areas.
- Participate & facilitate teams to redesign assigned business processes including new process maps, procedures, develop and deliver associated training modules, communicate process changes.
- Lead automation of data flows & analysis.
- Willing to work in hybrid set-up
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