{"id":1295645,"url":"https://alion.io/job/ehireo-lead-data-scientist","title":"Lead Data Scientist","company":{"id":3812750,"name":"eHireo","domain":"ehireo.com","url":"https://alion.io/company/ehireo","size_band":null,"is_staffing_agency":false,"employer_type":"staffing","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":["Mumbai, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":32000,"max_usd":71000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":328},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"A/B Testing","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Computer Vision","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Interpretability","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-26T06:09:16Z","employer_posted_date":null,"last_verified_at":"2026-09-26T06:09:16Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"KEY RESPONSIBILITIES:\n\nModels and machine learning:\n\n- Conceptualise business problems, drive frameworks, and translate ambiguous asks into solvable analytical problems.\n\n- Transform data science prototypes into production-grade solutions; design AI/ML applications against defined business and technical requirements.\n\n- Leverage large language and vision-language models for retrieval, extraction and reasoning over unstructured enterprise data.\n\n- Find and implement the right algorithms and tools, balancing accuracy, latency, interpretability and cost; train, evaluate and refine.\n\n- Integrate models into the application flow and deploy at scale, with monitoring for drift, degradation and failure.\n\nData foundation and infrastructure:\n\n- Set up the infrastructure for data analysis and mining required to generate actionable insight reliably.\n\n- Use effective feature engineering and pre-processing across structured and unstructured data; select or define annotated datasets and their quality controls.\n\n- Extend ML libraries and frameworks so they apply across a range of tasks.\n\nResponsible AI, measurement and governance:\n\n- Establish responsible-AI practice - model documentation, bias and privacy review, PII minimisation and audit trails.\n\n- Institutionalise measurement - A/B tests, holdouts and causal inference - so every model carries a defensible business number.\n\n- Create dashboards and visualisations that present data in a logical, decision-ready way to stakeholders.\n\nTeam and stakeholders:\n\n- Set up and lead your own team, drive the vertical, and develop next-in-line leaders.\n\n- Collaborate with cross-functional teams of diverse backgrounds; communicate insight coherently, working directly with the senior-most leadership.\n\nEXPERIENCE AND QUALIFICATIONS:\n\n- 8+ years hands-on in AI/ML and Data Science, with models that reached production and changed a business metric; a record of leading a team - hiring, setting standards and developing next-in-line leaders.\n\n- Strong command of Python and SQL across large datasets, with robust, testable code and sound software architecture.\n\n- Depth in feature engineering, statistics and ML algorithms (regression, classification, clustering, neural networks, time-series), and in Generative AI, NLP and Computer Vision and their business applications.\n\n- Hands-on with language models for retrieval - embeddings, RAG, vector stores, prompt design and evaluation - plus MLOps and engineering discipline to ship: experiment tracking, model registry, versioning, containerisation, CI/CD and cloud AI services (AWS / GCP / Azure).\n\n- The executive presence to hold a commercial argument, not only a technical one; genuine comfort with ambiguity; and awareness of data privacy, governance and responsible-AI obligations.\n\n- A BS or MS in Computer Science, AI/ML, Data Science or a related field.\n\n- We index on what you have shipped, not on further qualifications.\nSkills\nData Science, Machine Learning, Artificial Intelligence, Data Analytics, Python, SQL, Data Governance, Data Management, Data Privacy, Data Visualization","description_format":"text","description_chars":3090,"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":"2026-09-26T09:00:11Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":23,"reasons":["seen:1","velocity","win:early"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/ehireo-lead-data-scientist","json_url":"https://alion.io/job/ehireo-lead-data-scientist.json","meta":{"generated_at":"2026-09-28T06:41:32Z","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":4794,"day_limit":5000,"remaining_today":206,"minute_limit":60,"resets_at":"2026-09-29T00:00:00Z"}}}