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 youll 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 Youll 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: Bachelors or Masters 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 weve grown to 21000 associates globally who support 14000 client enterprises in 90 countries and territories. We do important interesting and substantive work that matters. Thats 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 its 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.
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Required Experience:
Director
Gartner, Inc. (NYSE: IT) is the world’s leading research and advisory company and a member of the S&P 500. We equip business leaders with indispensable insights, advice and tools to achieve their mission-critical priorities today and build the successful organizations of tomorrow.