About this Role:

We are seeking a Director - Data Science to lead high-impact data science initiatives that convert diverse data into actionable insights and decision support. You will be responsible for designing, developing, and implementing solutions that drive research excellence, operational efficiency, and revenue growth.  This role requires hands-on technical leadership as well as collaboration with multiple cross-functional stakeholders.

What you’ll do:

Harness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data

Collaborate with stakeholders to design, develop, and implement cutting-edge solutions that deliver insights through Machine Learning, Deep Learning, and Generative AI techniques

Innovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations

Own high-visibility programs that translate business objectives into measurable results such as improved engagement, retention, and cost efficiency

Build text analytics and knowledge retrieval capabilities for large-scale unstructured data to generate accurate, explainable insights

Define standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI

Enforce best practices in documentation, code reuse, and model lifecycle management while enhancing algorithms to meet evolving needs

Ensure responsible AI practices covering data privacy, IP, safety, and auditability

Mentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact

What You’ll Need:

Experience:

Overall: 9-11 years in data science/AI/ML roles

Hands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis

Education: Bachelor’s or Master’s in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college

Technical Skills:

Expertise in Agentic AI, RAG pipelines, LLMs, prompt engineering, knowledge graphs and evaluation frameworks

Well-versed in a wide range of ML algorithms, advanced statistics, and natural language processing

Expertise with LLM customization techniques (RAG, tuning, advanced prompting, etc.) 

Advanced proficiency in Python and SQL, with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK

Hands-on experience with vector databases (FAISS, pgvector etc)

Practical experience with cloud platforms (Azure/AWS) or GCP for model training, deployment, and scaling

Familiarity with distributed computing (Spark/Databricks)

Strong background in data preparation, cleaning, normalization, and handling large-scale unstructured text data

Knowledge of responsible AI, privacy, auditability, and code management using GitHub/Bitbucket

Basic visualization skills in Excel, Power BI, or Streamlit for dashboards and insights

Passionate leader with a strong appetite for learning and applying emerging AI and data science technologies. Experience in analysing unstructured data and building scalable solutions

Ability to foster innovation and drive adoption of next-generation AI tools for impactful business outcomes

Strong knowledge of model serving, monitoring and evaluation frameworks

Proven expertise with vector databases, knowledge databases, embeddings, feature stores

Soft Skills: Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced, milestone-driven environments

What you will get: 

Competitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!

Collaborative, team-oriented culture that embraces diversity

Professional development and unlimited growth opportunities

#LI-PM3

Who are we?

At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.

Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission-critical priorities.

Since our founding in 1979, we’ve grown to 21,000 associates globally who support ~14,000 client enterprises in ~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here.

What makes Gartner a great place to work?

Our vast, virtually untapped market potential offers limitless opportunities – opportunities that may not even exist right now – for you to grow professionally and flourish personally. How far you go is driven by your passion and performance.

We hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.

Our teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.

We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work.

What do we offer?

Gartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.

In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring.

Ready to grow your career with Gartner? Join us.

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 seek to advance the principles of equal employment opportunity.

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