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Associate Data Scientist

Description

About Gartner Digital Markets: 

Gartner Digital Markets is a business unit within Gartner. Our mission is to help small businesses make the right technology decisions and find the tools they need to grow, optimize, and become more effective at what they do. The business is comprised of three leading brands—Capterra, Software Advice, and GetApp. For candidates interested in taking their next career step in the technology space, Gartner Digital Markets offers the fast pace and excitement of working for a startup, the stability and resources of a large, established organization, and the opportunity to be on the front lines of innovation in an industry that is always growing and transforming. 

About the role:  

You will have a vital role in developing complex solutions and deploying transformative data products. You will work in a team responsible for building new forecasting models, segmentations, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a two-sided digital marketplace with an auction-based pricing model, the opportunities to put your data science skills to work are endless. You will cover a broad and evolving set of responsibilities as you build data science capabilities at GDM – versatility, adaptability, and self-sufficiency will be critical to success. As a member of the Gartner family, you will have access to industry-leading research on analytics and data science solutions to help you deliver a more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers.

What you will do:

  • Transform, standardize, and integrate data sets to develop data marts for data science use cases.
  • Create classification systems for content and buyer attributes to support predictive analytics.
  • Build models to help match buyers to content that supports their software buying journey.
  • Implement recommendation and content relevance engines to increase buyer engagement.
  • Identify opportunities to apply predictive models to improve the buyer experience.
  • Employ supervised and unsupervised machine learning techniques to support analytic objectives.
  • Develop data-processing and technical workflows for delivery of data-driven customer experiences.
  • Collaborate with Engineering and Product Management teams to execute the data science roadmap.

What you will need:

  • Degree in computer science, economics, statistics, mathematics or similarly quantitative field of study
  • Required experience: BA/BS from a top-tier university and up to 2 years of professional experience in data science or advanced analytics, or master’s degree or PhD with relevant graduate or postgraduate research.
  • Experience with querying languages (SQL), data transformation packages (R’s Data Table, Tidyverse, or Python’s Pandas, Polars) and visualization libraries (ggplot2, plotly, matplotlib, bokeh).
  • Knowledge of machine learning and statistical algorithms (Regression, Clustering, Bayesian) for anomaly detection, trend prediction, and modeling of content popularity and search results.

What you will get:

  • Competitive salary, generous paid time off policy and more!
    • India: Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP)
  • Collaborative, team-oriented culture that embraces diversity
  • Professional development and unlimited growth opportunities

Who are we?

Gartner delivers actionable, objective insight to executives and their teams. Our expert guidance and tools enable faster, smarter decisions and stronger performance on an organization’s most critical priorities. We’ve grown exponentially since our founding in 1979 and we're proud to have nearly 16,000 associates globally that support our 14,000+ clients in more than 100 countries.

What makes Gartner a great place to work?

Our teams are composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations. We believe that a variety of experiences makes us stronger—as individuals, as communities and as an organization. That’s why we're recognized worldwide as a great place to work year after year. We've been recognized by Fortune as one of the World’s Most Admired Companies, named a Best Place to Work for LGBTQ Equality by the Human Rights Campaign Corporate Equality Index and a Best Place to Work for Disability Inclusion by the Disability Equality Index. Looking for a place to turn your big ideas into reality? Join #LifeAtGartner

What we offer:

Our people are our most valuable asset, so we invest in them from Day 1. When you join our team, you’ll have access to a vast array of benefits to help you live your life well. These resources are designed to support your physical, financial and emotional well-being. We encourage continued personal and professional growth through ongoing learning and development opportunities. Our employee resource groups, charity match and volunteer programs keep you connected to your internal Gartner community and causes that matter to you.

The policy of Gartner is to provide equal employment opportunities to all applicants and employees without regard to race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status and to affirmatively seek to advance the principles of equal employment opportunity.

Gartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at 203-964-0096 or by sending an email to  ApplicantAccommodations@gartner.com .

Job Requisition ID:61713

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