{"id":1241240,"url":"https://alion.io/job/infineon-technologies-staff-engineer-data-scientist","title":"Staff Engineer Data Scientist","company":{"id":51757,"name":"Infineon Technologies","domain":"infineon.com","url":"https://alion.io/company/infineon-technologies","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":80,"open_postings":114,"ghost_share":0,"stale_share":0.816,"repost_share":0,"time_to_fill_p50_days":40,"computed_at":"2026-09-30T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Singapore"],"countries":["SG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":54000,"max_usd":127000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":468},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Embeddings","optional":false},{"name":"GCP","optional":false},{"name":"Keras","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"TensorFlow","optional":false},{"name":"XGBoost","optional":false}],"status":"live","first_seen_at":"2026-03-27T02:00:23Z","employer_posted_date":"2026-04-01","last_verified_at":"2026-10-01T02:27:05Z","board_verified":true,"closed_at":null,"days_open":188,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":187},"description":"We are seeking a highly skilled Staff Engineer Data Scientist to grow our organization's data analytics and AI capabilities. The successful candidate will develop and maintain large-scale data pipelines, perform exploratory and predictive analysis, build deep learning algorithms, and maintain model quality. They will also communicate complex technical concepts to stakeholders and document analytical findings.Your Role\nKey responsibilities in your new role\nGrowing the Organization’s data analytics and AI capability\nDevelop and maintain a data pipeline for large-scale data indexing.\nEngage in both exploratory analysis and predictive models to identify data trends and anomalies.\nExplore new hypotheses, build deep learning algorithms and be responsible to maintain model quality over time.\nTake ownership of the algorithmic structure and explain complex deep learning algorithms in layman terms to business stakeholders or tech talks.\nAbility to set and achieve project objectives & milestones.\nDocument analytical findings for technical teams, executives, or publication\nYour Profile\nQualifications and skills to help you succeed\nPh.D. or Masters in Natural Science, Computer Science, Data Science, Statistics, Mathematics, or equivalent fields.\nAt least 3-5 years of relevant working experience in similar fields.\nProficient in Python and SQL languages.\nAbility to handle text manipulation tasks such as processing and parsing.\nUnderstanding of recommender systems such as collaborative filtering and content filtering.\nExperience in using machine learning libraries such as Scikit-learn, TensorFlow, Keras or Pytorch\nExperience in model hyper-parameter tuning, embeddings and feature engineering.\n Experience in natural language process (NLP), statistical modeling, network analysis, and data mining techniques\nLove minimal, beautiful code and neat documentation.\nTeam player, both internal between data scientist as external with business stakeholders\nPlus: Experience with cloud computing (AWS/GCP/Azure)\nPlus: Deep Learning (RNN, LTSM, XGBoost)\nPlus: Continuous deployment (CI/CD)\n#WeAreIn for driving decarbonization and digitalization.\nAs a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.\nAre you in?\nWe are on a journey to create the best Infineon for everyone.\n This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.\nPlease let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.\nClick here for more information about Diversity & Inclusion at Infineon.","description_format":"text","description_chars":3207,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-25T16:39:36Z"}],"liveness":{"score":10,"band":"cold","label":"Long shot","p_open":1,"p_active":0.343,"p_room":0.28,"age_days":187,"expected_fill_days":40,"reasons":["conf:15","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-09-30T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/infineon-technologies-staff-engineer-data-scientist","json_url":"https://alion.io/job/infineon-technologies-staff-engineer-data-scientist.json","meta":{"generated_at":"2026-10-01T04:41:59Z","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":4197,"day_limit":5000,"remaining_today":803,"minute_limit":60,"resets_at":"2026-10-02T00:00:00Z"}}}