{"id":1673113,"url":"https://alion.io/job/gartner-lead-data-scientist-2","title":"Lead Data Scientist","company":{"id":1752905,"name":"Gartner","domain":"gartner.com","url":"https://alion.io/company/gartner-com","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","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":24000,"max_usd":42000,"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":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Bitbucket","optional":false},{"name":"Databricks","optional":false},{"name":"Embeddings","optional":false},{"name":"FAISS","optional":false},{"name":"Feature Store","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"Hallucination","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"NLTK","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"pgvector","optional":false},{"name":"Power BI","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Streamlit","optional":false},{"name":"TensorFlow","optional":false},{"name":"LLM","optional":true},{"name":"PostgreSQL","optional":true}],"status":"live","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-06T22:45:39Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"About this Role\nWe are seeking a Lead Data Scientist 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.\nKey Responsibilities:\nHarness advanced technologies to extract, interpret, and visualize insights from large volumes of structured and unstructured data.\n\nCollaborate with stakeholders to design, develop, and implement cutting-edge solutions that deliver insights through Machine Learning, Deep Learning, and Generative AI techniques.\n\nInnovate in text analytics and develop creative approaches for interpreting complex datasets to deliver impactful recommendations.\n\nOwn high-visibility programs that translate business objectives into measurable results such as improved engagement, retention, and cost efficiency.\n\nBuild text analytics and knowledge retrieval capabilities for large-scale unstructured data to generate accurate, explainable insights.\n\nDefine standards for evaluation, guardrails, prompt engineering, retrieval quality, and hallucination control to ensure trustworthy AI.\n\nEnforce best practices in documentation, code reuse, and model lifecycle management while enhancing algorithms to meet evolving needs.\n\nEnsure responsible AI practices covering data privacy, IP, safety, and auditability.\n\nMentor and develop a high-performing team of data scientists, fostering a culture of innovation and impact.\n\nWhat We’re Looking For:\nProven expertise in Python, Agentic AI, RAG pipelines, LLMs, NLP, knowledge graphs and advanced ML/DL algorithms.\nExperience utilizing the AI tech stack (LLMs, workflows, tools/plug-ins, agents, multi-model capabilities, etc.)\n\nExpertise with LLM customization techniques (RAG, tuning, advanced prompting, etc.)\n\nPassionate leader with a strong appetite for learning and applying emerging AI and data science technologies.\n\nExperience analysing unstructured data and building scalable solutions.\n\nAbility to foster innovation and drive adoption of next-generation AI tools for impactful business outcomes.\n\nStrong knowledge of model serving, monitoring and evaluation frameworks.\n\nProven expertise with vector databases, knowledge databases, embeddings, feature stores, and cloud platforms (Azure/AWS).\n\nProficiency in prompt engineering, responsible AI practices, and governance (privacy, auditability, compliance).\n\nWhat You’ll Need:\nEducation: Bachelor’s or Master’s in Computer science, Engineering, Statistics, Mathematics, or related field from a reputed college.\nExperience:\nOverall: 8+ years in data science/AI/ML roles.\n\nHands-on: 6+ years applying ML/DL, NLP, and LLMs to real-world business problems, including text mining and unstructured data analysis.\n\nTechnical Skills:\nExpertise in Agentic AI, RAG pipelines, LLMs, prompt engineering, and evaluation frameworks.\n\nWell-versed in a wide range of ML algorithms, advanced statistics, and natural language processing.\n\nAdvanced proficiency in Python and SQL, with strong experience in libraries such as Pandas, NumPy, scikit-learn, TensorFlow, PyTorch, SpaCy, NLTK.\n\nHands-on experience with vector databases (FAISS, pgvector etc) o Practical experience with AWS, Azure, or GCP for model training, deployment, and scaling. o Familiarity with distributed computing (Spark/Databricks).\n\nStrong background in data preparation, cleaning, normalization, and handling large-scale unstructured text data.\n\nKnowledge of responsible AI, privacy, auditability, and code management using GitHub/Bitbucket.\n\nBasic visualization skills in Excel, Power BI, or Streamlit for dashboards and insights.\n\nSoft Skills: Excellent communication, stakeholder management, problem-solving, and ability to work in fast-paced, milestone-driven environments.\n\nWhat you will get:\nCompetitive salary, generous paid time off policy, charity match program, Group Medical Insurance, Parental Leave, Employee Assistance Program (EAP) and more!\n\nCollaborative, team-oriented culture that embraces diversity\n\nProfessional development and unlimited growth opportunities\n\nWho are we?\nAt Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world.\nOur 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.\nSince our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 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.\nWhat makes Gartner a great place to work?\nOur 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.\nWe hire remarkable people who collaborate and win as a team. Together, our singular, unifying goal is to deliver results for our clients.\nOur teams are inclusive and composed of individuals from different geographies, cultures, religions, ethnicities, races, genders, sexual orientations, abilities and generations.\nWe 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.\nGartner is the world authority on AI\nAt Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes.\nIt’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you.\nWhat do we offer?\nGartner offers world-class benefits, highly competitive compensation and disproportionate rewards for top performers.\nIn 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.\nReady to grow your career with Gartner? Join us.\nThe 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.\nGartner is committed to being an Equal Opportunity Employer and offers opportunities to all job seekers, including job seekers with disabilities. If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access the Company’s career webpage as a result of your disability. You may request reasonable accommodations by calling Human Resources at +1 (203) 964-0096 or by sending an email to .\nJob Requisition ID:112620By submitting your information and application, you confirm that you have read and agree to the country or regional recruitment notice linked below applicable to your place of residence.\nGartner Applicant Privacy Link: https://jobs.gartner.com/applicant-privacy-policy\n For efficient navigation through the application, please only use the back button within the application, not the back arrow within your browser.","description_format":"text","description_chars":8414,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Growth opportunities","Health insurance","Hybrid work","Parental leave","Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T07:29:32Z"}],"visa":[],"liveness":{"score":42,"band":"fade","label":"Fading","p_open":1,"p_active":0.763,"p_room":0.55,"age_days":7,"expected_fill_days":6,"reasons":["conf:0","wave","velocity","win:tail","comp:brand"],"computed_at":"2026-10-06T05:45:30Z"},"pay":null,"html_url":"https://alion.io/job/gartner-lead-data-scientist-2","json_url":"https://alion.io/job/gartner-lead-data-scientist-2.json","meta":{"generated_at":"2026-10-06T23:21:42Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":4679,"day_limit":5000,"remaining_today":321,"minute_limit":60,"resets_at":"2026-10-07T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":1752905},"rest":"https://alion.io/mcp/rest/get_company?id=1752905"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fgartner-lead-data-scientist-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fgartner-lead-data-scientist-2"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fgartner-lead-data-scientist-2"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/gartner-lead-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fgartner-lead-data-scientist-2"}]}