As a Data Scientist with Gartner, you will have the unique opportunity to be at the forefront of AI and machine learning innovation, where you'll be responsible for driving initiatives that bring significant impact to the business.

What You’ll Be Doing

1. Design and Implement Large Language Model (LLM) Based Agents. Build advanced LLM-based agents capable of synthesizing complex information, integrating it into business workflows, and taking critical actions seamlessly.
2. Generative AI for Actionable Insights. Leverage generative AI techniques to extract valuable insights from unstructured data, such as call transcripts and emails, and transform this data into actionable recommendations for clients.
3. Predict Client Behavior and Deliver Value. Use advanced statistical and machine learning techniques to predict client interest based on their digital footprint and create recommendations that drive value.
4. Customer Retention and Churn Prediction. Develop predictive models to identify at-risk clients and proactively propose solutions to improve retention rates.
5. Data Processing and Feature Engineering. Build tools to handle large volumes of structured and unstructured data. Engineer the necessary features and signals required for machine learning models.
6. Collaboration and Innovation. Work closely with cross-functional teams to brainstorm and develop solutions that are not only effective but also innovative, optimizing current processes and solving business challenges in new ways.

What You’ll Need to Succeed

• Educational Background. A BS, MS, or Ph.D. in Computer Science, Mathematics, Physics, Statistics, Economics, or a related field. A focus on Natural Language Processing (NLP) and Information Retrieval is a plus.

Experience

• A minimum of 3 years of hands-on experience applying data science methodologies to live initiatives or software development projects.
• A minimum of 3 years of experience in Python programming, statistical analysis, and working with large datasets.
• At least 2 years of experience in areas such as Prompt Engineering, Machine Learning, Data Mining, NLP, and Information Retrieval.
• Proficiency in building recommendation systems and working with user behavior models.

Technical Expertise

• Experience working with large datasets and using machine learning and statistical techniques to extract insights.
• Proficiency in designing and engineering features for machine learning models.
• Hands-on experience with Generative AI and NLP models, including but not limited to LLMs.
• Experience in data mining techniques and applying them to real-world business problems.

What We’re Looking For in You

1. Team Player. Collaboration is key. You enjoy working with diverse teams, sharing knowledge, and helping others to achieve shared goals. Your interpersonal skills make you a valued team member.
2. Lifelong Learner. You’re passionate about staying on top of emerging technologies and methodologies in data science. You are always eager to apply the latest knowledge and innovative techniques to your work.
3. Organized and Detail-Oriented. You approach your work systematically and proactively. You think ahead about the steps involved in projects, ensuring your solutions are well-organized, well-documented, and clean.
4. Innovative Problem Solver. You’re constantly looking for ways to solve problems in new, creative ways. Your innovative mindset is key to driving impactful business solutions.

Why Gartner?

Gartner is a globally recognized leader in providing actionable insights and strategic advice to enterprises around the world. With over 20,000 associates supporting more than 15,000 client enterprises across 90 countries, we continue to drive success for technology leaders. At Gartner, you’ll be joining a diverse team of intelligent, driven professionals who collaborate seamlessly to achieve common goals.

What Gartner Offers

1. Limitless Growth and Learning Opportunities. With our dynamic, fast-paced environment, you will have abundant opportunities to grow your skills and career, supported by the professional development opportunities of a global leader in the industry.
2. Collaborative, Positive Culture. You’ll work alongside smart, driven individuals who are as passionate about innovation and delivering results as you are. You’ll be supported by leaders who are dedicated to helping you succeed.
3. Competitive Compensation and Benefits. Gartner offers world-class benefits and highly competitive compensation packages. We also recognize and reward top performers with substantial rewards and recognition.
4. Hybrid Work Environment. Gartner provides the flexibility to work virtually when it's most productive and in-person when collaboration is needed, fostering a balanced and engaging work experience.

Gartner's Commitment to Diversity and Inclusion

At Gartner, we pride ourselves on creating an inclusive work environment that celebrates diversity. Our teams are made up of individuals from various backgrounds, cultures, and experiences, creating a vibrant, welcoming workplace. We are an Equal Opportunity Employer, offering opportunities to all individuals, including those with disabilities or disabled veterans. We encourage applicants from all walks of life to apply and contribute to our diverse community.