{"id":1218028,"url":"https://alion.io/job/globe-telecom-data-science-manager","title":"Data Science Manager","company":{"id":50025,"name":"Globe Telecom","domain":"globe.com.ph","url":"https://alion.io/company/globe-telecom","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"B","score":75,"open_postings":122,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-09-28T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15500,"max_usd":41000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Cassandra","optional":false},{"name":"Clojure","optional":false},{"name":"Hypothesis","optional":false},{"name":"Java","optional":false},{"name":"Machine Learning","optional":false},{"name":"MATLAB","optional":false},{"name":"Python","optional":false},{"name":"Ruby","optional":false},{"name":"SAS","optional":false},{"name":"SPSS","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-09-22T00:00:00Z","employer_posted_date":"2026-09-22","last_verified_at":"2026-09-28T20:36:35Z","board_verified":true,"closed_at":null,"days_open":7,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":7},"description":"At Globe, our goal is to create a wonderful world for our people, business, and nation. By uniting people of passion who believe they can make a difference, we are confident that we can achieve this goal.\nJob Description\nThe Data Science Manager leads the end-to-end development of data-driven solutions, from translating business needs into data science projects, to building, deploying, and monitoring predictive models in production. This role ensures models deliver measurable business impact, maintains the reliability of machine learning pipelines, and collaborates closely with business, product, and engineering teams to integrate data science solutions into operational systems.DUTIES AND RESPONSIBILITIES:\nData Exploration & Feature Engineering\nLead data extraction, exploration, cleansing, and transformation of large and complex datasets\n\nDesign, engineer, and validate features needed for predictive models and advanced analytics\n\nBuild frameworks and data pipelines that combine telco datasets with digital, social, and external data sources to create a holistic customer view.\n\nModel Development & Performance Management\nTranslate business problems into clear data science approaches and model requirements\n\nBuild, test, and deploy machine learning and statistical models that address business needs\n\nTrack performance, accuracy, drift, and business value of deployed models\n\nConduct periodic model tuning and ensure continuous improvement aligned with ROI goals.\n\nInsights, Applications & Business Enablement\nTranslate model outputs into clear insights, actionable recommendations, and campaign or operational strategies\n\nIdentify new opportunities to apply data science, especially in customer behavior prediction, segmentation, and credit risk scoring.\n\nPartner with business teams to embed analytics solutions into decision-making and customer lifecycle programs.\n\nREQUIREMENTS:\nWork Experience\nMinimum of three (3) years’ experience in customer analytics domain and/or credit risk assessment and financial services, covering most of the following: data mining, predictive modeling, machine learning, statistical modeling and analysis, large scale data acquisition, transformation, and cleaning, both structured and unstructured data\n\nProven track record of leading and collaborating on advanced analytics strategic initiatives; Proven track record of operationalization of analytic models in collaboration with marketing/risk and IT teams\n\nWorked with large, unfiltered data sets or data science research\n\nLevel of Knowledge\nHas Knowledge of both structured and unstructured data\n\nMust possess core competencies, deep understanding and relevant experience in\n\nScripting or programming experience: familiarity in programming languages with relational databases (e.g. Python, Java, Ruby, Clojure, Matlab, Pig, SQL);\n\nStatistical Analysis: advanced usage of off-the-shelf tools such as R, SAS, SPSS, Weka and other analytical tools or software\n\nBig Data: Experience with Big data tools such as HDFS, Cassandra, Storm\n\nDatabase knowledge: skilled in structured database\n\nFamiliar with most of the following disciplines:\n\nConceptual modeling: to be able to share and articulate modeling;\n\nPredictive modeling: most of the big data problems are towards being able to predict future outcomes;\n\nHypothesis testing: being able to develop hypothesis and test them with careful experiments;\n\nNatural Language Processing: the interactions between computer and humans;\n\nMachine learning: using computers to improve as well as develop algorithms;\n\nStatistical analysis: to understand and work around possible limitations in models.\n\nEducation\nDegree in quantitative discipline such as Statistics, mathematics, Operations Research, Engineering, Computer Science, Econometrics or Information Science such as Business Analytics or Informatics\n\nEqual Opportunity Employer\nGlobe’s hiring process promotes equal opportunity to applicants, Any form of discrimination is not tolerated throughout the entire employee lifecycle, including the hiring process such as in posting vacancies, selecting, and interviewing applicants.\nGlobe’s Diversity, Equity and Inclusion Policy Commitment can be accessed here\nMake Your Passion Part of Your Profession. Attracting the best and brightest Talents is pivotal to our success. If you are ready to share our purpose of Creating a Globe of Good, explore opportunities with us.","description_format":"text","description_chars":4412,"description_truncated":false,"requirements":{"experience_years_min":3,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Telecommunications","Broadband"],"lifecycle":[{"event":"open","at":"2026-09-25T11:20:37Z"}],"liveness":{"score":61,"band":"ok","label":"Likely open","p_open":1,"p_active":0.611,"p_room":1,"age_days":6,"expected_fill_days":26,"reasons":["conf:2","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-28T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/globe-telecom-data-science-manager","json_url":"https://alion.io/job/globe-telecom-data-science-manager.json","meta":{"generated_at":"2026-09-29T03:31:49Z","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":3235,"day_limit":5000,"remaining_today":1765,"minute_limit":60,"resets_at":"2026-09-30T00:00:00Z"}}}