{"id":3151922,"url":"https://alion.io/job/tdk-data-analysis-sr-engineer","title":"Data Analysis Sr. Engineer","company":{"id":50315,"name":"TDK","domain":"tdk.com","url":"https://alion.io/company/tdk","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"HeadHunter","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":16000,"max_usd":42000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2679},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anomaly Detection","optional":false},{"name":"Grafana","optional":false},{"name":"JMP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Minitab","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Statistical Process Control","optional":false},{"name":"TensorFlow","optional":false}],"status":"live","first_seen_at":"2026-10-23T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-23T00:00:00Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"JOB SUMMARY: Data Analysis / Data Scientist is responsible for leading data-driven initiatives to enhance product performance, manufacturing capability, and process reliability. This role combines \"advanced analytics, machine learning, statistical modeling, and manufacturing domain expertise\" to uncover insights, solve complex technical problems, and enable Smart Manufacturing across Magnecomp.\nRESPONSIBILITIES:Analyze high-volume manufacturing, metrology, and product performance datasets to identify trends, correlations, and failure patterns.\nApply statistical techniques (SPC, DOE, regression, and multivariate analysis) to support process optimization and variation reduction.\nBuild predictive models (machine learning, anomaly detection) to forecast product quality, detect early drift, and optimize process parameters.\nDefine new data parameters, sensors, and measurement requirements for improving process visibility.\nIntegrate analytics solutions into factory systems (Database, Analysis, Dashboard platforms).\nLead data-driven projects for product failure analysis and yield improvement.\nProvide effective data analysis with proven validation results and useful analysis to team.\nCollaborate with Design and Product Engineering Teams to evaluate model simulations, analyze test data, and propose design improvements.\nSupport Process Engineering by identifying root causes of variation and defining corrective/preventive actions.\nEvaluate and deploy advanced Al/ML solutions (e.g., for visual inspection, anomaly detection, predictive maintenance).\nPartner with IT and Manufacturing Systems teams to develop automated data pipelines, databases, and dashboards.\nProvide technical leadership in cross-site (Internal and External MPT) engineering problem-solving activities.\nPrepare clear reports summarizing insights, modeling results, and recommendations for engineering and management review.\nPresent complex technical findings in an understandable and actionable format to cross-functional teams.\n\nQualifications\nEducation Required: Bachelor's or Master's degree in Data Science, Computer Science, Mechatronics, or related technical fields.\nSkill Required: Strong expertise in data mining/exploring, statistical analysis, and machine learning.\nProficiency in: SQL, Python, JMP / Minitab, Power BI, Grafana, KNIME, TensorFlow, Pytorch & Scikit-Learn.\nStrong problem-solving skills and ability to interpret complex datasets.\nStrong ownership mindset and proactive problem-solving and ability to work independently.\nExperience:Hands-on experience in data analytics roles (2-5+ years).\nExperience integrating data with manufacturing systems (databases, automation and dashboard systems).\nProject management skills with proven cross-functional collaboration.\nExperience in HDD/suspension/precision manufacturing is an 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