{"id":1285425,"url":"https://alion.io/job/okda-solutions-senior-data-scientist","title":"Senior Data Scientist","company":{"id":3800839,"name":"Okda Solutions","domain":"okdasolutions.com","url":"https://alion.io/company/okda-solutions","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":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":22000,"max_usd":44000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":51},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"LangChain","optional":false},{"name":"LlamaIndex","optional":false},{"name":"LLM","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"PostGIS","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Amazon SageMaker","optional":true},{"name":"Embeddings","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Semantic Search","optional":true},{"name":"Semantic Search","optional":true}],"status":"live","first_seen_at":"2026-08-14T10:44:13Z","employer_posted_date":null,"last_verified_at":"2026-08-14T10:44:13Z","board_verified":false,"closed_at":null,"days_open":46,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":46},"description":"Job Description :\n\nImmediate joiners or less than 30 days notice period.\n\nKey Responsibilities :\n\nLocation Intelligence & Geospatial AI :\n\n- Design and develop geospatial models for location scoring, market positioning, demographic analysis and portfolio decision support.\n\n- Build location-based AI agent capabilities that surface real-time market and location insights for portfolio scenarios.\n\n- Develop scalable geospatial data pipelines covering property data, demographic overlays, transport networks, labour-market data and ESG indicators.\n\n- Support map-based product functionality, including synchronized list/map views, clustering, search, filtering and spatial data overlays.\n\n- Evaluate and onboard third-party geospatial and commercial real-estate data sources based on quality, coverage and usability.\n\nAI Agents, Machine Learning & Data Science :\n\n- Design, train and validate models for multi-criteria scoring across cost, sustainability, talent accessibility, market positioning and risk.\n\n- Own the data-science architecture for AI-driven scenario generation and evaluation using client-defined criteria and weighted priorities.\n\n- Build RAG pipelines and document-intelligence capabilities for reasoning over lease documents, market reports and financial data.\n\n- Define evaluation frameworks and guardrails covering accuracy, bias detection, responsible AI and commercial credibility.\n\n- Monitor and improve production models using product analytics, NPS signals and structured user feedback.\n\nProduct Strategy & Stakeholder Collaboration :\n\n- Translate business workshops and SME inputs into clear data-science specifications for engineering teams.\n\n- Own the analytical roadmap for location intelligence, geospatial AI and data-science capabilities from MVP through future releases.\n\n- Assess cloud geospatial and ML services and contribute to platform and architectural decisions.\n\n- Participate in design reviews and present model methodology, outputs and validation findings to technical and non-technical stakeholders.\n\nGovernance & Standards :\n\n- Maintain model methodology, data-source, validation and geospatial lineage documentation.\n\n- Ensure compliance with data governance, privacy, responsible AI and applicable vendor obligations.\n\n- Work with engineering to manage and optimise AI-agent token usage and operating costs at scale.\n\nEssential Requirements :\n\n- 10+ years of hands-on data-science experience, including at least 2 years in geospatial data, location intelligence or spatial analytics within a product/platform environment.\n\n- Strong Python expertise with GeoPandas, Shapely, Folium, PostGIS or equivalent geospatial technologies.\n\n- Production experience building AI agents or LLM-based systems, including RAG, agent orchestration and output evaluation.\n\n- Experience designing multi-criteria scoring and weighting frameworks for complex decision-support applications.\n\n- Strong experience building and managing cloud data pipelines, preferably on AWS or Azure.\n\n- Exposure to commercial real-estate, demographic or labour-market datasets from recognized industry providers.\n\n- Strong product mindset and ability to explain model behaviour and business impact to non-technical stakeholders.\n\n- Ability to work across requirements, architecture, development, production validation and continuous improvement.\n\nMandatory Technical Competencies :\n\n- Geospatial AI and Location Intelligence\n\n- GeoPandas\n\n- LangChain or LlamaIndex\n\n- RAG (Retrieval-Augmented Generation)\n\nDesirable Skills :\n\n- AWS geospatial services, SageMaker or agent-based ML deployment services.\n\n- ESG frameworks, carbon-emissions modelling or sustainability scoring.\n\n- Experience in commercial real estate, financial services or enterprise SaaS.\n\n- Vector databases, embeddings and semantic search for geospatial or document-intelligence use cases.\n\n- Product analytics, user-research tools, web map rendering and spatial visualisation.\n\n- Responsible AI frameworks, bias evaluation and enterprise model governance\nSkills\nData Science, Data Scientist, Geo Spatial, Artificial Intelligence, Agentic AI, Machine Learning, RAG, GIS, LLM, LangChain","description_format":"text","description_chars":4162,"description_truncated":false,"requirements":{"experience_years_min":10,"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":"2026-09-26T04:00:00Z"}],"liveness":{"score":11,"band":"cold","label":"Long shot","p_open":0.4,"p_active":0.602,"p_room":0.45,"age_days":45,"expected_fill_days":23,"reasons":["seen:45","velocity","win:tail"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/okda-solutions-senior-data-scientist","json_url":"https://alion.io/job/okda-solutions-senior-data-scientist.json","meta":{"generated_at":"2026-09-30T04:16:09Z","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":2913,"day_limit":5000,"remaining_today":2087,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}