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
Responsibilities:
- 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.
Required Education:
- 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)
Skills Needed
- 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
Mid-Senior-level
Information
|
Information Technology
|
Technology
Full-time
Engineering
|
Information Technology
|
Other
Data Science
|
Data Scientist
Gartner, Inc. is a global research and advisory firm providing insights, advice, and tools for leaders in IT, Finance, HR, Customer Service and Support, Legal and Compliance, Marketing, Sales, and Supply Chain functions across the world.
