{"id":1233838,"url":"https://alion.io/job/symphoni-hr-causal-machine-learning-scientist","title":"Causal Machine Learning Scientist","company":{"id":3800108,"name":"Symphoni HR","domain":"symphonihr.com","url":"https://alion.io/company/symphoni-hr","size_band":"201-500","is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"A","score":100,"open_postings":27,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":45,"computed_at":"2026-10-25T05:49:26Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","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":23000,"max_usd":48000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":38},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"Amazon ECS","optional":false},{"name":"Amazon Redshift","optional":false},{"name":"Amazon S3","optional":false},{"name":"AWS","optional":false},{"name":"AWS Lambda","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-21T00:00:00Z","employer_posted_date":"2026-10-21","last_verified_at":"2026-10-25T19:53:32Z","board_verified":true,"closed_at":null,"days_open":34,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":34},"description":"We are seeking a Causal Machine Learning Scientist to join a high-impact team in Bengaluru. In this hybrid role, you will design and implement sophisticated causal inference models to measure the impact of business interventions and optimize decision-making processes. You will bridge the gap between complex observational data and actionable business insights using cutting-edge statistical and machine learning techniques.\nOur client is a leading global professional services firm specializing in accounting and financial advisory. They are committed to leveraging advanced data science and artificial intelligence to drive strategic decision-making for their diverse portfolio of international clients. The organization fosters a culture of innovation, analytical rigor, and professional growth.\nResponsibilities\nDesign and analyze end-to-end controlled experiments including A/B tests and weblabs.\nPerform power and sample-size analysis to ensure robust experimental outcomes.\nDevelop causal graphs to identify confounders and mediators for valid effect estimation.\nImplement observational estimators such as Double/Debiased ML, Propensity Score Matching, and Inverse Propensity Weighting.\nBuild and maintain scalable causal pipelines from raw data to defensible effect estimates.\nTranslate complex causal findings into clear, actionable recommendations for non-technical stakeholders.\nIntegrate LLM agents into the causal analysis loop to assist with hypothesis generation and estimator selection.\nCollaborate with cross-functional teams to deploy solutions within an AWS-based data environment.\nRequirements\n5-7 years of professional experience in data science or machine learning.\nProficiency in Python and SQL for data manipulation and model development.\nDeep expertise in causal inference methodologies including synthetic control and difference-in-differences.\nHands-on experience with causal libraries such as DoWhy, EconML, and CausalPy.\nStrong understanding of AWS data and analytics services including Redshift, S3, Lambda, and ECS.\nProven ability to communicate uncertainty and assumptions effectively to business leaders.\nExperience working in a hybrid environment based in Bengaluru.\nSkills\nA/B testing, Causal graphs, Observational estimators, Double/Debiased ML, Propensity Score Matching, Inverse Propensity Weighting, Python, SQL, DoWhy, EconML, CausalPy, Synthetic control, Difference-in-differences, LLM agents, AWS Redshift, AWS S3, AWS Lambda, AWS ECS","description_format":"text","description_chars":2476,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T15:44:01Z"}],"visa":[],"liveness":{"score":39,"band":"fade","label":"Fading","p_open":1,"p_active":0.515,"p_room":0.75,"age_days":34,"expected_fill_days":45,"reasons":["conf:4","agency","velocity","win:late","comp:brand"],"computed_at":"2026-10-25T05:49:26Z"},"pay":null,"html_url":"https://alion.io/job/symphoni-hr-causal-machine-learning-scientist","json_url":"https://alion.io/job/symphoni-hr-causal-machine-learning-scientist.json","meta":{"generated_at":"2026-10-25T22:44:52Z","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":32096,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-26T00:00:00Z"}},"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":3800108},"rest":"https://alion.io/mcp/rest/get_company?id=3800108"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fsymphoni-hr-causal-machine-learning-scientist"},{"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%2Fsymphoni-hr-causal-machine-learning-scientist"},{"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%2Fsymphoni-hr-causal-machine-learning-scientist"},{"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/symphoni-hr-causal-machine-learning-scientist\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fsymphoni-hr-causal-machine-learning-scientist"}]}