{"id":1444985,"url":"https://alion.io/job/gartner-lead-data-scientist","title":"Lead Data Scientist","company":{"id":1752905,"name":"Gartner","domain":"gartner.com","url":"https://alion.io/company/gartner-com","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Gurgaon, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":28000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Fine-tuning","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Recommender Systems","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"GCP","optional":true},{"name":"Hugging Face","optional":true},{"name":"pySpark","optional":true},{"name":"Python","optional":true},{"name":"PyTorch","optional":true},{"name":"Scikit-learn","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-09-29T05:22:09Z","employer_posted_date":null,"last_verified_at":"2026-09-29T05:22:09Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"As a Lead Data Scientist, you will:\n\nBuild and enhance AskGartner (Gartners AI Advisor) with insights and capabilities from Gartner events and ensure seamless user experience between Events and Gartner.com digital platforms\nBuild in-house Agentic products & fine tune LLMs to improve AskGartner and Gartner conferences Agentic products\nBuild & optimize Recommender systems for Gartner Global Conferences. These models ensure improved user experience before, during and after a conference\nBuild & Roll-out ML/NLP/Deep learning models to improve Attendees/Exhibitor acquisition & retention\nWork closely with business to refine requirements around conferences business, build quick POCs, present findings in a consumable report or streamlit app\nEnrich conferences client dataset by leveraging scraping, predictive and generative ai tooling & capabilities\nImprove upon MLOps capabilities by building and optimizing data pipelines, model monitoring and training capabilities \nBuild Evaluation Frameworks to ensure products development are tied to metrics that move the needle and can be measured offline\nAutomated solutions that help conferences business and strategy teams with analytics and insights capabilities for efficient decision making\nWork closely with business and engineering counterparts to develop & deploy solutions involving production grade micro-services, data pipelines, insight dashboards\n\nQualifications:\n\nThe ideal candidate will have\n\n8+ years of hands-on experience in data science alongside a degree in computer science, statistics, mathematics or a related field. Masters or PHD highly preferred\nHands on experience with GenAI dev tools and frameworks like LangGraph/Langchain, Langfuse\nExperience building recommender systems, search engine & query pipelines for end user applications\nExperience building and deploying enterprise grade machine learning/NLP/Deep learning, AI Agents in close collaboration with engineering and product managers\nExperience leveraging and fine-tuning Large Language Models (LLMs) or building/distilling SLMs is a plus\nSolid programming skills in Python, data science libraries (scikit-learn, TensorFlow/PyTorch, HuggingFace, etc.) and GenAI tools like claude-code, copilot\nExperience building and deploying machine learning models in close collaboration with engineering - good understanding of CI/CD pipelines\nHands-on experience with big data technologies (PySpark) and familiarity with cloud platforms (AWS, GCP, Azure) to explore insights and working with complex datasets\nStrong ability to communicate technical concepts to non-technical audiences.\n\nSkills\nData Science, Data Scientist, Machine Learning, Artificial Intelligence","description_format":"text","description_chars":2685,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-29T06:15:04Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":24,"reasons":["seen:2","velocity","win:early"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/gartner-lead-data-scientist","json_url":"https://alion.io/job/gartner-lead-data-scientist.json","meta":{"generated_at":"2026-10-01T11:18:12Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2877,"day_limit":5000,"remaining_today":2123,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}