{"id":106893,"url":"https://alion.io/job/nxp-entry-level-data-scientist-semiconductor-engineering-automation","title":"Entry-Level Data Scientist – Semiconductor Engineering & Automation","company":{"id":17368,"name":"NXP Semiconductors","domain":"nxp.com","url":"https://alion.io/company/nxp","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":77,"open_postings":200,"ghost_share":0,"stale_share":0.92,"repost_share":0,"time_to_fill_p50_days":34,"computed_at":"2026-10-17T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"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":"Machine Learning","optional":false},{"name":"Matplotlib","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Power BI","optional":true},{"name":"Tableau","optional":true}],"status":"live","first_seen_at":"2026-07-15T00:00:00Z","employer_posted_date":"2026-07-15","last_verified_at":"2026-10-17T08:15:55Z","board_verified":true,"closed_at":null,"days_open":94,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":94},"description":"About the Role\nWe are seeking a data-driven Entry-Level Data Scientist to join our semiconductor engineering team. This role is ideal for recent graduates who are passionate about applying data science and automation to solve complex engineering challenges and improve the manufacturing process.\nAs a member of a cross-functional engineering team, you will collaborate with Product, Test, Process, Yield, and Quality Engineers to analyze manufacturing test data, develop predictive and diagnostic models, and implement automated solutions that improve operational process, product quality, and yield performance. You will play a key role in working with suppliers and deploying the quality shield into production line and sustaining.\nThis is a unique opportunity to work at the intersection of semiconductor technology, advanced analytics and artificial intelligence.\nKey Responsibilities\nAnalyze wafer sort, final test, and inline process data to identify trends, anomalies, and root causes.\nDevelop dashboards and visualizations to monitor key metrics across product and test stages.\nAutomate data pipelines and reporting tools to support continuous improvement initiatives.\nCollaborate with cross-functional engineering teams and suppliers to integrate function with production line system, deploy and sustain, and translate data insights into actionable improvements.\nInnovate and develop AI/ML solutions for non-standard problems.\nReceive training, guidance, and mentorship to accelerate your career growth.\nRequirements\nBachelor’s degree in Data Science, Electrical Engineering, Computer Science, Statistics, or related field.\nStrong foundation in statistics, data analysis, and machine learning.\nProficiency in Python or R, with experience using libraries such as pandas, NumPy, scikit-learn, matplotlib.\nFamiliarity with SQL and working with large-scale databases.\nUnderstanding of semiconductor manufacturing and test processes is a plus.\nExperience with data visualization tools (e.g., Tableau, Power BI) is an advantage.\nAbility to interpret complex datasets and communicate findings clearly to engineering teams.\nStrong problem-solving skills, attention to detail, and a collaborative mindset.\nInternship or academic project experience in manufacturing, electronics, or data analytics is a plus.\n More information about NXP in Malaysia...\n#LI-633a","description_format":"text","description_chars":2359,"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":["Processors, MCUs & AI Chips","RF & Wireless Hardware","Analog & Power Semiconductors"],"lifecycle":[{"event":"open","at":"2026-07-15T00:00:00Z"}],"visa":[],"liveness":{"score":5,"band":"cold","label":"Long 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