{"id":2511010,"url":"https://alion.io/job/weekday-senior-data-scientist-2","title":"Senior Data Scientist","company":{"id":7097,"name":"Weekday","domain":"weekday.works","url":"https://alion.io/company/weekday","size_band":"51-200","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"B","score":81,"open_postings":107,"ghost_share":0,"stale_share":0.972,"repost_share":0,"time_to_fill_p50_days":5,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India","Chennai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":24000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":55},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Amazon SageMaker","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Anthropic","optional":false},{"name":"AutoGen","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"Azure","optional":false},{"name":"Cassandra","optional":false},{"name":"CI/CD","optional":false},{"name":"CloudFormation","optional":false},{"name":"D3.js","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google AI Studio","optional":false},{"name":"Hadoop","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LangChain","optional":false},{"name":"LangGraph","optional":false},{"name":"LLMOps","optional":false},{"name":"Machine Learning","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"Terraform","optional":false},{"name":"Vertex AI","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-10-14T08:54:41Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-14T12:45:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"'\n: - ( - )\nExperience: 5+ yrs\nLocation: Bengaluru, Chennai\nJob Type: Full-time\nWe are looking for an experienced Senior Data Scientist with strong expertise in Python, Machine Learning, Generative AI, Large Language Models (LLMs), and AI engineering to develop intelligent, scalable, and data-driven solutions. The ideal candidate will combine statistical expertise and analytical thinking with practical experience building AI applications, retrieval-augmented generation (RAG) pipelines, AI agents, and production-ready machine learning systems.\nYou will work on complex business challenges, translating data and analytical requirements into innovative solutions that improve decision-making, automate workflows, and deliver measurable business value.\nRequirements\nKey Responsibilities\nTranslate business challenges into analytical problems and deliver actionable, data-driven recommendations.\nCollect, process, cleanse, and validate data to ensure accuracy, consistency, and analytical reliability.\nDevelop and optimise machine learning models, classifiers, predictive systems, and automation solutions.\nBuild AI-powered applications, including chatbots, RAG pipelines, workflow agents, and multi-agent systems.\nDevelop Python-based APIs and microservices integrating LLMs from OpenAI, Anthropic, AWS, Azure, and Google Cloud.\nDesign retrieval, embedding, inference, and knowledge-processing pipelines using vector databases and knowledge graphs.\nImplement AI and machine learning workloads on AWS, Azure, and GCP using scalable cloud architectures.\nEstablish deployment, evaluation, monitoring, and retraining pipelines for production AI systems.\nApply infrastructure-as-code practices using tools such as Terraform and CloudFormation.\nDevelop automated anomaly detection systems, dashboards, and reporting solutions for continuous monitoring.\nConduct statistical analysis, hypothesis testing, experimentation, and exploratory data analysis.\nPresent findings, model outcomes, and recommendations clearly to clients and business stakeholders.\nEnsure AI solutions follow appropriate security, governance, reliability, and responsible AI practices.\nParticipate in architecture discussions and code reviews while maintaining clean, maintainable code.\nManage project delivery, mentor junior team members, and contribute to recruitment and knowledge-sharing initiatives.\nWhat Makes You a Great Fit\n5+ years of experience in data science, analytics, machine learning, or applied AI.\nStrong programming skills in Python, with hands-on experience developing production-grade data and AI applications.\nExpertise in machine learning algorithms, including regression, classification, optimisation, and neural networks.\nStrong understanding of statistical analysis, probability distributions, hypothesis testing, and experimental design.\nPractical experience with Generative AI, LLMs, RAG, LangChain, LangGraph, or AutoGen.\nKnowledge of vector databases, embeddings, retrieval systems, knowledge graphs, and AI agent architectures.\nExperience with cloud AI/ML services such as AWS Bedrock and SageMaker, Azure OpenAI and AI Studio, or GCP Vertex AI and Gemini.\nFamiliarity with MLOps/LLMOps, CI/CD, Docker, Kubernetes, and event-driven systems.\nExperience with relational databases, SQL, and NoSQL or big-data technologies such as MongoDB, Cassandra, or Hadoop.\nProficiency in data visualisation tools such as Tableau, Power BI, QlikView, or D3.js.\nStrong analytical, problem-solving, communication, and stakeholder-management skills.\nAbility to manage projects end to end, collaborate across teams, and mentor emerging talent.\nA bachelor's degree in Engineering, Computer Science, or a related analytical discipline is preferred; a relevant master's degree is an advantage.\nA continuous-learning mindset and strong interest in Generative AI, AI safety, intelligent automation, and emerging technologies.","description_format":"text","description_chars":3896,"description_truncated":false,"requirements":{"experience_years_min":null,"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":"2026-10-14T08:54:41Z"}],"visa":[],"liveness":{"score":52,"band":"ok","label":"Likely open","p_open":1,"p_active":0.516,"p_room":1,"age_days":0,"expected_fill_days":5,"reasons":["conf:0","agency","win:early","comp:brand"],"computed_at":"2026-10-14T13:09:51Z"},"pay":null,"html_url":"https://alion.io/job/weekday-senior-data-scientist-2","json_url":"https://alion.io/job/weekday-senior-data-scientist-2.json","meta":{"generated_at":"2026-10-14T13:09:51Z","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_verified","counted_by":"address","units_charged":1,"used_today":16149,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-15T00:00:00Z"}},"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":7097},"rest":"https://alion.io/mcp/rest/get_company?id=7097"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fweekday-senior-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%2Fweekday-senior-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%2Fweekday-senior-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/weekday-senior-data-scientist-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fweekday-senior-data-scientist-2"}]}