Gartner - Business Analyst - Data Science

Business Analyst - Data Scientist

What makes Gartner a GREAT fit for you?

When you join Gartner, you'll be part of a fast-growing team that helps the world become smarter and more connected. We're the leader in our industry, achieving double-digit growth by helping clients make the right decisions with business and technology insights they can't find anywhere else. Our associates enjoy a collaborative work environment, exceptional training and career development - as well as unlimited growth potential. If you like working with a generous, supportive, high-performing team, Gartner is where you want to be.

About the role:

- We are searching for talented engineers and science majors to join our team. We are searching for top talent that will help solve some of the most challenging problems in the IT world using data science methodologies. You will have access to the best facilities, technology and expertise within the industry and will work on challenging problems that would include looking at large volumes of data and deriving insights from them. 

- You will be working to build algorithms to solve some of our advanced retention initiatives. You will also have opportunities to work on several business initiatives and be empowered to lead problem solving. This is an excellent opportunity to be in high-impact teams, where you can truly develop your skill set and knowledge and bring impact to the business.

What you'll do:

- You will get opportunities to solve world class problems in a world class company.

- 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 to convert 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

Qualifications:

What you'l need

- Bachelor's or Masters degree from tier one schools

- PhD/Masters a plus

- Degree major in Physics, Math, Technology, Computer Science and related branches preferred (focus on Natural Language Processing, Information Retrieval a plus)

- 3 years experience working on solving problems that involve utilizing Machine Learning techniques and NLP

- Projects in data science methodologies or software development is 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 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

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