{"id":2670246,"url":"https://alion.io/job/ntt-data-data-scientist-2","title":"Data Scientist","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"B","score":75,"open_postings":26,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":25,"computed_at":"2026-10-16T05:45:00Z"}},"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":["Cluj-Napoca, Romania"],"countries":["RO"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":75000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Gmail","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false},{"name":"WhatsApp","optional":false}],"status":"live","first_seen_at":"2026-10-16T04:06:48Z","employer_posted_date":"2026-10-16","last_verified_at":"2026-10-16T09:39:49Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Who we are\nWe are seeking a Data Scientist with a strong academic foundation in Statistics, Mathematics, Data Science, or a related quantitative discipline. The successful candidate will combine deep analytical expertise with strong business communication skills, helping stakeholders understand complex analytical insights and convert them into actionable business decisions.\nThe role requires hands-on experience in statistical modelling, machine learning, predictive analytics, experimentation, and data-driven decision making, with the ability to work effectively with both technical and non-technical audiences.\nWhat you'll be doing\nApply statistical and machine learning techniques to solve complex business problems\nDesign, develop, validate, and deploy predictive models and analytical solutions\nConduct exploratory data analysis, hypothesis testing, segmentation, forecasting, and experimentation\nTranslate complex analytical findings into clear business recommendations and executive-level insights\nEngage with business stakeholders to understand objectives, define analytical approaches, and communicate outcomes\nPresent analytical results through compelling storytelling, visualisation, and data-driven narratives\nCollaborate with Data Engineering, Product, Technology, and Business teams to operationalise models and insights\nEnsure analytical solutions are robust, explainable, and aligned to business objectives\nContribute to the continuous improvement of data science methodologies, tools, and best practices\nWhat you'll bring along\nBSc/MSc in Computer Science, Data Engineering, or related field\nExperience: Minimum 4-6+ years of active software engineering or data engineering experience\nStrong knowledge of statistics, experimental design, forecasting, and predictive modelling\nExperience with machine learning techniques, including regression, decision trees, random forests, gradient boosting, clustering, and classification models\nProficiency in Python and/or R, SQL, and data visualisation tools such as Power BI or Tableau\nStakeholder Management & Communication\nAbility to translate complex analytical insights into clear business recommendations\nStrong communication, presentation, and data storytelling skills\nExperience influencing decision-making through data-driven insights\nBackground in customer, marketing, or digital analytics\nExposure to MLOps, cloud platforms (Azure, AWS, GCP, Databricks), and GenAI\nExperience working in cross-functional, matrix organisations\nAnalytical, curious, and solution-oriented\nCommercially focused with strong stakeholder management skills\nCollaborative, proactive, and results-driven\n\nDocument\n\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. If you suspect any fraudulent activity, please contact us.\nNTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees.\nNot the job for you? Perhaps you have a friend who would be a perfect fit. Send them this link!\nWhat’s in it for you\nNew beginnings can be a challenge. We promise a smooth integration and a supportive mentor\nPick your working style: choose from Remote, Hybrid or Office work opportunities\nEarly bird or night owl? Our projects have different working hours to suit your needs\nNobody is born an expert. Sharpen your tech skills with our sponsored certifications, trainings and top e-learning platforms\nWe want you to stay healthy! Enjoy our Private Health Insurance - it’s custom-made for you\nA clear mind is a healthy mind. Attend individual coaching sessions or go one step further by joining our accredited Coaching School\nMake the most of our epic parties or themed events - they’re lovingly designed for our people and their families\nMake this the place you grow\nYour unique talent is what matters. NTT DATA Romania is an equal opportunity employer and considers all applicants regardless to race, color, religion, citizenship, national origin, ethnicity, age, gender, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic.\n\nDocument\n\nThird parties fraudulently posing as NTT DATA recruiters\nNTT DATA recruiters will never ask job seekers and candidates for payment or banking information during the recruitment process, for any reason. Please remain vigilant of third parties that may try to impersonate NTT DATA recruiters, either in writing or by phone, in an attempt to deceptively obtain personal data or money from you. All email communications from an NTT DATA recruiter will be associated with an @nttdata.com email address. NTT DATA will not use any non-NTT DATA or personal email domains (Gmail, Yahoo, etc.) or personal communication channels (WhatsApp, Facebook etc) at any time during the recruitment process. 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