Data Scientist

What makes Gartner Digital Markets a GREAT fit for you? 

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 comprises 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. 

Why you’ll want to come to work: 

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 will you be doing: 

• Design models and run simulations to help understand and predict bidding/auction dynamics. 

• Identify opportunities to apply predictive models to improve the vendor experience and  support their software buying journey. 

• Employ supervised and unsupervised machine learning techniques to support analytic objectives. 

• Develop data-processing and technical workflows for delivery of data-driven vendor experiences. 

• Use advanced statistical techniques to fine-tune models and improve business processes. 

• Partner with the client support team and provide them with insight necessary to successfully manage the relationship with software vendors. 

• Collaborate with Engineering and Product Management teams to execute the data science roadmap. 

What you’ll bring to the team: 

• 3-5 years of experience with bachelor's degree required while a master’s degree in a quantitative field (math, computer science, engineering, etc.) is good to have 

• Experience in developing (R or python), deploying and maintaining data products. 

• A very good command of machine learning and statistical algorithms (Regression, Clustering, Linear Optimization) for anomaly detection, trend prediction, and modeling of content popularity and search results. 

• Comfortable with summarizing complex research and analytical methods, and ability to present to stakeholders.

• Curious and analytical nature. Compelled to dive deep to understand complicated problems.

• Passionate for data and analytics. Driven to acquire the skills necessary to accomplish complex tasks. 

• Interpersonal skills with ability to build relationships and effectively collaborate with colleagues. 

• Proactively seek guidance to achieve successful results. 

• Resourceful and resilient with the instincts to take a creative approach to problem solving. 

• Knowledge of working with cloud-based data warehouses and data management systems (SQL Server, Snowflake, BigQuery), and streaming data platforms (kafka, Flink, etc.)  

Nice to have: 

• Experience working with bidding marketplaces and auction dynamics. 

• Experience working for consumer or business-facing digital brands. 

• Experience with Unix/Linux environments, and version control systems (git, or svn). 

• Experience with Prefect or AWS Sagemaker.