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 Analytical insights, recommendation engines and boutique algorithms. You will identify new areas to apply data science to improve business performance. As a digital marketplace with millions of reviews and insights from our clients, there are limitless opportunities to apply your skills in data science. You will cover a broad and evolving set of responsibilities as you build data science capabilities at RCD 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 more engaging and relevant content for software buyers and improve the volume and quality of buyer leads for software sellers.
What will you do:
Research & Development
- Research, design, and implement advanced machine learning (ML) and data algorithms, with a focus on analyzing text data and extracting actionable insights.
- Stay current with the latest advancements in large language models (LLMs), generative AI (GenAI), and related technology trends to ensure the adoption of cutting-edge techniques.
ML Models Development & Optimization
- Build and deploy ML models that facilitate effective matching of buyers to relevant content, enhancing the buyers journey.
- Fine-tune pre-trained language models for specific business use cases, optimizing for accuracy, performance, and domain relevance.
End-to-End Solution Delivery
- Lead the end-to-end development lifecycle of ML solutions, from rapid prototyping to full-scale productization.
- Ensure seamless integration of ML solutions into existing systems and workflows, maintaining high standards of reliability and scalability.
Collaboration & Stakeholder Engagement
- Work closely with Engineering and Product Management teams to align on and execute the data science roadmap.
- Gather and analyze requirements from stakeholders, ensuring solutions are tailored to business needs and deliver measurable value.
Data Infrastructure & Solution Design
- Play a hands-on role in the design and implementation of robust data warehousing solutions to support scalable analytics and ML initiatives.
- Ensure data quality, integrity, and security throughout the data lifecycle.
Agile Delivery & Continuous Improvement
- Participate in Agile Scrum ceremonies and processes, driving the iterative delivery of high-quality ML solutions.
- Lead efforts in testing, validation, and post-rollout continuous improvement to maximize business impact and solution effectiveness.
What you’ll need
Bachelor’s degree
in computer science, Information Systems, or a related field, or equivalent hands-on experience in software development. 6-8 years of professional experience
in software engineering and/or data warehousing, with a proven track record of delivering solutions in Agile Scrum environments.- Proficiency in
Python
and a solid understanding of Object-Oriented Programming (OOP)
principles. - Demonstrated expertise in
machine learning models
, with hands-on experience working with AWS
cloud services and Cassandra
databases. - Familiarity with
AWS ML tools
and best practices for deploying and managing scalable machine learning solutions in the cloud.
Must be proficient in:
Machine learning extraction mechanisms using AWS
, including operationalizing end-to-end ML solutions in the cloud. Entity-Relationship (ER) modeling
and expertise in T-SQL
for effective data modeling and management. SQL query and dataset optimization
to ensure high performance and scalability. - Experience with
version control systems
(e.g., Git, SVN) for collaborative software development.
Good to have skills:
Generative AI techniques
, including tokenization, word embeddings, and advanced prompting strategies. - Solid understanding of foundational concepts such as
Transformers
and Self-Attention mechanisms
underpinning large language models (LLMs). - Strong proficiency in
querying languages
such as SQL, and hands-on experience with data transformation packages
including Python’s Pandas, Polars, or Dask. - Proficient in using
data visualization libraries
such as ggplot2, Plotly, and Matplotlib to create insightful and actionable visual representations. - Familiarity with
dashboard and reporting tools
for effective data presentation and business intelligence. - Experience working with
cloud computing platforms
and tools, such as AWS and Azure, for scalable application and data solution deployment.
Who you are:
- A strong, passionate, empathetic engineer, who can work is able to work collaboratively with senior leadership, peers, and project team to deliver solutions on time, within budget, keeping the morale high
- Self-starter, with a demonstrated ability to learn beyond formal training with a strong aptitude for delivering quality products
- Passionate about learning new technologies
- Proficiency in
project tracking tools
like Jira for effective project management and delivery tracking. - Strong ability to interpret and manage
client expectations
, proactively identifying and resolving issues that could impact project delivery. - Excellent
interpersonal skills
with a proven ability to work effectively within a matrixed and distributed team environment. - Demonstrated
problem-solving skills
and the ability to work both independently and collaboratively in a fast-paced setting. - Exceptional
organizational and analytical skills
, with keen attention to detail and the ability to maintain a strategic, big-picture perspective.
What we offer:
In addition to an outstanding work environment with rapid advancement potential, Gartner associates enjoy exceptional compensation and benefits, including:
- An upbeat, positive culture. Integrity, objectivity, collaboration, results and a no-limits mindset are central to our values
- Limitless growth. We work with you to help you meet your goals and advance within the company
- Encouragement to be innovative and challenge status quo
- Exposure to industry leading training and development
- Performance based recognition and rewards
