{"id":1252459,"url":"https://alion.io/job/lufthansa-technik-services-india-data-scientist","title":"Data Scientist","company":{"id":3800300,"name":"Lufthansa Technik Services India","domain":"lht-services-india.com","url":"https://alion.io/company/lufthansa-technik-services-india","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":"middle","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":16000,"max_usd":38000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":15},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Flask","optional":false},{"name":"Kubernetes","optional":false},{"name":"OpenShift","optional":false},{"name":"Pandas","optional":false},{"name":"Plotly","optional":false},{"name":"Pydantic","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Machine Learning","optional":true},{"name":"SQL","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-09-15T08:34:45Z","employer_posted_date":null,"last_verified_at":"2026-09-15T08:34:45Z","board_verified":false,"closed_at":null,"days_open":28,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":28},"description":"Roles & responsibilities :\n\n- Delivery of Key Projects: Successfully deliver advanced analytics and data science projects within predefined timelines and budget constraints.\n\n- Collaboration: Collaborate effectively with data engineers and ML engineers to comprehend data and models, utilizing various advanced analytics capabilities.\n\n- Solution Development: Develop efficient solutions for complex problems, showcasing expertise in data structures like Delta/Parquet, databases, data analytics, Python programming, and statistics.\n\n- End-to-End Pipeline Management: Manage the entire data science pipeline, including problem scoping, data gathering, modeling, insights generation, visualizations, monitoring, and maintenance.\n\n- Dashboard Design: Design dashboards using Python Dash (plotly) or Flask framework for effective data visualization and reporting.\n\n- Technological Expertise: Utilize CI/CD tools, data pipeline technologies, and visualization/data storytelling tools proficiently.\n\n- ETL Pipeline Building: Construct ETL pipelines using Python or Azure Synapse to facilitate efficient data processing and management.\n\n- Data Procurement and Management: Independently procure and process data, ensuring seamless integration within the company's overall data management strategy.\n\n- Technology Exploration: Continuously monitor advancements in artificial intelligence technology and identify applications for problem-solving within the company.\n\nTechnical Skills :\n\n- Proficiency in Python and common libraries (Dash, Pandas, Scikit-Learn, Pydantic, TensorFlow).\n\n- Strong knowledge of statistics and Probability.\n\n- Set up cloud alerts, monitors, dashboards, and logging systems; 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