{"id":1318554,"url":"https://alion.io/job/cmcglobal-data-scientist","title":"Data Scientist","company":{"id":3827704,"name":"CMC Global","domain":"cmcglobal.com.vn","url":"https://alion.io/company/cmcglobal","size_band":"201-500","is_staffing_agency":false,"employer_type":"staffing","is_intermediary":false,"listed_via":null,"ats_vendor":"Career site","truth_index":{"grade":"C","score":65,"open_postings":100,"ghost_share":0.58,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-29T05:45:00Z"}},"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":"structured","locations":["Vietnam"],"countries":["VN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":14000,"max_usd":42000,"period":"year","method":null,"sample_n":3503},"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":"Pandas","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"Recommender Systems","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Databricks","optional":true},{"name":"GCP","optional":true},{"name":"Hadoop","optional":true},{"name":"NLP","optional":true},{"name":"PyTorch","optional":true},{"name":"Spark","optional":true},{"name":"TensorFlow","optional":true}],"status":"live","first_seen_at":"2026-06-01T07:11:16Z","employer_posted_date":"2026-09-26","last_verified_at":"2026-09-26T23:32:15Z","board_verified":false,"closed_at":null,"days_open":120,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":119},"description":"JOB DESCRIPTION\nJob Overview\nWe are looking for a Data Scientist who is passionate about turning data into actionable insights and building data-driven solutions. You will work closely with business stakeholders, data engineers, and technical teams to analyze complex datasets, develop predictive models, and support decision-making through advanced analytics and machine learning techniques.\nKey Responsibilities\nData Analysis & Insights\nCollect, clean, and analyze large volumes of structured and unstructured data.\nIdentify trends, patterns, and opportunities to support business objectives.\nTranslate analytical findings into actionable recommendations for stakeholders.\nMachine Learning & Modeling\nDevelop, validate, and deploy machine learning models for prediction, classification, clustering, and recommendation systems.\nPerform feature engineering, model selection, hyperparameter tuning, and performance evaluation.\nMonitor model performance and continuously improve accuracy and reliability.\nData Visualization & Reporting\nCreate dashboards, reports, and visualizations to communicate insights effectively.\nPresent analytical results to technical and non-technical audiences.\nCollaboration\nWork with Data Engineers to ensure data quality, accessibility, and scalability.\nPartner with business teams to understand requirements and define analytical approaches.\nContribute to data science best practices, experimentation frameworks, and knowledge sharing.\nREQUIREMENTS\nTechnical Skills\nBachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field.\nExperience in data analysis, machine learning, or data science projects.\nStrong programming skills in Python.\nHands-on experience with data analysis libraries such as Pandas, NumPy, and Scikit-learn.\nKnowledge of machine learning algorithms, statistical analysis, and predictive modeling.\nExperience working with SQL and relational databases.\nFamiliarity with data visualization tools such as Power BI, Tableau, or Matplotlib.\nPreferred Qualifications\nExperience with deep learning frameworks such as TensorFlow or PyTorch.\nKnowledge of cloud platforms such as AWS, Azure, or GCP.\nExperience with MLOps practices and model deployment.\nFamiliarity with Big Data technologies such as Spark, Hadoop, or Databricks.\nUnderstanding of Generative AI, LLMs, or NLP applications is a plus.\nBENEFITS\nPackage: Package 14 salary months based on KPI + Extra package: 16M/year\nFull benefit with social insurance.\nAnnual health check and CMC care insurance under the company’s\nYoung and dynamic working environment.\nOpportunity to approach the newest technology trends\nExciting leisure: sports and art events (football club, family day…)\nThe company’s labor policy is entirely pursuant to Vietnamese labor legislation plus other benefits offered by the company (Company trips, holidays, etc.)\n* Please send your application via email: \nThe post Data Scientist appeared first on CMC Global.","description_format":"text","description_chars":3004,"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":[],"lifecycle":[{"event":"open","at":"2026-09-26T20:13:45Z"}],"liveness":{"score":5,"band":"cold","label":"Long shot","p_open":0.9,"p_active":0.199,"p_room":0.28,"age_days":119,"expected_fill_days":30,"reasons":["conf:54","stale_co","velocity","ghost","win:tail","crowd:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/cmcglobal-data-scientist","json_url":"https://alion.io/job/cmcglobal-data-scientist.json","meta":{"generated_at":"2026-09-30T01:44:40Z","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":1324,"day_limit":5000,"remaining_today":3676,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}