{"id":1252573,"url":"https://alion.io/job/astar-data-science-engineer-for-pda-photonics-ime","title":"Data Science Engineer for PDA (Photonics), IME","company":{"id":50235,"name":"Agency for Science, Technology and Research","domain":"a-star.edu.sg","url":"https://alion.io/company/a-star-edu","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SciPy","optional":false},{"name":"TCP/IP","optional":false},{"name":"Time Series Forecasting","optional":false}],"status":"live","first_seen_at":"2026-09-25T18:36:43Z","employer_posted_date":"2026-09-25","last_verified_at":"2026-09-30T20:53:40Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Job Description\nWe are seeking a hands-on Data Science and Test Automation Engineer to develop automated testing and data-analysis capabilities for silicon photonic devices within our Photonic Design Automation platform.\nThe role combines Python development, laboratory instrument control, optical test automation, experimental data analysis, visualization, and system integration.\nKey Responsibilities\nDevelop automated workflows for chip alignment, wavelength scanning, electrical and optical characterization, and multidimensional parameter sweeps.\nBuild reusable drivers and control interfaces for lasers, power meters, motion stages, source measure units, and other laboratory equipment.\nImplement reliable instrument communication, calibration, monitoring, retry, recovery, and equipment-safety mechanisms.\nDevelop scalable data pipelines for cleaning, processing, organizing, and analysing experimental and simulation data.\nExtract device performance metrics, identify trends and anomalies, compare measurements with simulations or design targets, and implement automated pass/fail evaluation.\nApply statistical, machine-learning, or optimization methods to alignment, calibration, anomaly detection, process monitoring, and measurement acceleration.\nCreate real-time visualizations, dashboards, reports, and traceable experiment records.\nIntegrate automation and data-analysis capabilities with databases, backend services, job schedulers, and user interfaces.\nEstablish modular architecture, automated testing, logging, configuration management, and maintainable software practices.\nRequired Qualifications\nBachelor’s degree or above in Electrical Engineering, Computer Science, Data Science, Physics, or a related discipline.\nStrong Python programming, scientific computing, data processing, and visualization skills.\nExperience using libraries such as NumPy, pandas, SciPy, Matplotlib, scikit-learn, or equivalent tools.\nExperience controlling instruments, hardware, embedded systems, or external devices through software.\nFamiliarity with communication protocols such as serial, TCP/IP, USB, GPIB, VISA, or SCPI.\nOthers\nExperience with photonic, semiconductor, optical, or precision test automation.\nExperience controlling motion stages, tunable lasers, power meters, source measure units, or similar instruments.\nFamiliarity with PyVISA, automatic alignment, feedback control, optimization, or hardware-in-the-loop testing.\nExperience with machine learning, time-series analysis, uncertainty analysis, predictive modelling, or statistical process control.\nKnowledge of silicon photonic devices and common optical measurements.\nExperience with GUI development, databases, asynchronous systems, Docker, Linux, or CI/CD.\nExperience working with wafer-level test systems or large experimental datasets.","description_format":"text","description_chars":2811,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Optical Communications"],"lifecycle":[{"event":"open","at":"2026-09-25T18:36:43Z"}],"liveness":{"score":85,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.854,"p_room":1,"age_days":4,"expected_fill_days":21,"reasons":["conf:4","velocity","win:early","comp:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/astar-data-science-engineer-for-pda-photonics-ime","json_url":"https://alion.io/job/astar-data-science-engineer-for-pda-photonics-ime.json","meta":{"generated_at":"2026-10-01T03:18:28Z","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":2765,"day_limit":5000,"remaining_today":2235,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}