{"id":1227299,"url":"https://alion.io/job/battery-smart-lead-data-scientist","title":"Lead Data Scientist","company":{"id":6771,"name":"Battery Smart","domain":"batterysmart.in","url":"https://alion.io/company/battery-smart","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":"lead","employment_type":null,"work_mode":"on_site","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":28000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Computer Vision","optional":false},{"name":"Docker","optional":false},{"name":"Embeddings","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Machine Learning","optional":false},{"name":"OCR","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Time Series Forecasting","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-25T04:53:09Z","employer_posted_date":null,"last_verified_at":"2026-09-25T04:53:09Z","board_verified":false,"closed_at":null,"days_open":7,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":7},"description":"Role Overview :\n\nWe are looking for a Lead Data Scientist / Applied AI Lead to lead Battery Smart's Data Science, Machine Learning and Applied AI charter.\n\nThis is a mid-level leadership role responsible for managing a team of Data Scientists / Analytics professionals while remaining hands-on with critical business problems and AI initiatives.\n\nThe role will own the Data Science roadmap, drive production-grade ML and AI solutions, and partner with Product, Engineering, Operations and Leadership to translate complex business problems into scalable, data driven solutions.\n\nKey Responsibilities :\n\n- Own end-to-end data science and machine learning solutions across demand forecasting, fraud detection, underwriting, driver behavior analysis, and network optimization.\n\n- Design, build, deploy, and monitor time-series, geospatial, statistical, and real-time predictive models in production.\n\n- Lead Applied AI and GenAI initiatives, including :\n\n1. LLM-based applications.\n\n2. RAG (Retrieval-Augmented Generation) pipelines.\n\n3. Embeddings, agent workflows, and decision-support systems.\n\n4. Use cases such as call transcript analysis, ops intelligence, and automated insights.\n\n- Drive Computer Vision use cases, including face recognition, OCR, misuse/fraud detection, and asset monitoring.\n\n- Take complete ownership of projects - from problem definition and data acquisition to deployment and performance tracking.\n\n- Mentor and guide junior analysts and data scientists, setting high standards for problem-solving, code quality, and execution.\n\n- Work closely with Product, Engineering, Operations, and Leadership to translate ambiguous business problems into scalable AI-driven solutions.\n\nQualifications & Skills :\n\n- 7+ years of strong hands-on experience in Python and SQL (PySpark preferred).\n\n- Proven experience in building ML models from scratch, including time-series forecasting, geospatial models, statistical modeling, and deep learning.\n\n- Practical, production-level experience with LLMs, RAG architectures, and modern AI tooling.\n\n- Hands-on exposure to Computer Vision models such as object detection, OCR, and facial recognition.\n\n- Experience deploying and maintaining models using Docker and cloud environments (Kubernetes exposure is a plus).\n\n- Strong understanding of real-time data processing frameworks and ML pipelines.\n\n- Demonstrated ability to solve complex, ambiguous problems in a fast-scaling startup environment.\n\n- Strong ownership mindset with experience leading and mentoring teams and collaborating cross functionally.\n\n- Experience working with IoT and geospatial data is a plus.\n\nWhy this role :\n\n- This is not a research-only role - you will build, deploy, and scale AI systems that directly impact revenue, assets, and operational efficiency.\n\n- Opportunity to own high-impact AI systems end-to-end in one of India's fastest-growing EV infrastructure companies.\n\n- Play a key role in shaping Battery Smart's data science and applied AI culture, while mentoring future leaders in the team.\nSkills\nData Science, Data Scientist, Artificial Intelligence, Machine Learning, LLM, RAG, Computer Vision","description_format":"text","description_chars":3144,"description_truncated":false,"requirements":{"experience_years_min":7,"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":["Energy & Utilities","Energy Storage","EV Charging"],"lifecycle":[{"event":"open","at":"2026-09-25T13:06:44Z"}],"liveness":{"score":82,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.817,"p_room":1,"age_days":7,"expected_fill_days":24,"reasons":["seen:7","win:early"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/battery-smart-lead-data-scientist","json_url":"https://alion.io/job/battery-smart-lead-data-scientist.json","meta":{"generated_at":"2026-10-03T00:31:46Z","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":145,"day_limit":5000,"remaining_today":4855,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}