Short Description
Gartner is looking for Data Scientist who will work on cross-product initiatives that are of high importance and bring significant impact on retention.Job Description
- Drive retention and growth by empowering service delivery groups and sales in some of our initiatives as required:
- Work on cross-product initiatives that are of high importance and bring significant impact on retention
- Automate creation of most relevant content for clients using NLP, these would connect Gartner product offerings to client needs by working with Client Partners, thereby displaying value we could provide
- Conceive, build and continuously enhance systems and tool as a senior business analyst in a data science team that would enable our Service associates to engage the clients in an operationally effective way
- Work on several initiatives that have unstructured data derive key insights that are top priorities for different companies and automate the process by integrating with a UI
- Derive recommendations for clients on important IT priorities based on their usage and other players in the industry
- Streamline processes with stakeholders across initiatives so there is a productivity gain in our initiatives
- Innovate on initiatives that would save time for our Service associates allowing them to call and engage more clients
- Find opportunities to automate content or process using machine learning algorithms and working with IT so it could lead to productivity increase and time savings
- Here is a sample of some data science initiatives you would work on:
- Automate several content delivery modules to engage clients using machine learning algorithms
- Derive key insights utilizing unsupervised machine learning based on hundreds of pages of unstructured data from several sources
- Build statistical models to predict retention probabilities dynamically for a given client and help Service Delivery leverage that data
- Prioritize what clients our Service Delivery associates should talk to and what Gartner asset they should recommend converting an unengaged client to an engaged one.
- Analyze surveys and correlation between survey responses and client engagement in a meaningful way so as to result in actionable insights.
- Use regression models to determine factors that impact retention leading to client engagement.
- Meaningful extraction of key client priorities using text analytics.
- Derive what content to recommend to clients when our Service Associate is looking to engage a client.
- Extract features and signals from diverse data collections.
- Bachelor's or Masters degree from tier one schools
- Ph.D./Masters a plus
- Degree major in Physics, Math, Technology, Computer Science and related branches preferred (focus on Natural Language Processing, Information Retrieval a plus)
- 2-3 years experience working on solving problems that involve utilizing Machine Learning techniques and NLP
- Projects in data science methodologies or software development are required
- Knowledge or R or Python needed to be able to code the models
- Knowledge of statistical models to build into models a big plus
- Ability to work on projects that involve the use of the following:
- Machine Learning and statistical techniques.
- Data mining and recommendation systems.
- Natural Language Processing and Information Retrieval.
- Work with large volumes of data.
- Dynamic user behavior modeling.
Data Scientist