{"id":1576251,"url":"https://alion.io/job/mattel-data-scientist","title":"Data Scientist","company":{"id":13477,"name":"Mattel","domain":"mattel.com","url":"https://alion.io/company/mattel-inc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":75,"open_postings":10,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-01T05:45:00Z"}},"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":{"min_usd":10500,"max_usd":31000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":345},"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Machine Learning","optional":false},{"name":"NumPy","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"SQL","optional":false},{"name":"Gemini","optional":true},{"name":"LLM","optional":true}],"status":"live","first_seen_at":"2026-10-01T09:35:57Z","employer_posted_date":"2026-10-01","last_verified_at":"2026-10-01T10:20:36Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"CREATIVITY IS OUR SUPERPOWER. It’s our heritage and it’s also our future. Because we don’t just make toys. We create innovative products and experiences that inspire fans, entertain audiences and develop children through play. Mattel is at its best when every member of our team feels respected, included, and heard-when everyone can show up as themselves and do their best work every day. We value and share an infinite range of ideas and voices that evolve and broaden our perspectives with a reach that extends into all our brands, partners, and suppliers.\n The Opportunity:\nWe are seeking a talented and driven Data Scientist to join our dynamic Supply Chain Analytics team in Kuala Lumpur. In this role, you will leverage your innovation and analytical expertise to revolutionize supply chain operations through data-driven insights and advanced technology. You will design and implement cutting-edge analytics solutions, develop predictive and prescriptive models, and lead end-to-end optimization efforts across the supply chain. Collaborating with cross-functional teams, you will transform complex data into actionable strategies that enhance efficiency, reduce costs, and improve decision-making. Works independently and receives some guidance.\nWhat Your Impact Will Be:\nCreate and deploy predictive, prescriptive, and machine learning models to address supply chain challenges, including demand forecasting, inventory optimization, and overall planning.\nDevelop SQL/Python code and data models which support the strategic goals of Mattel’s Supply Chain organization\nUse advanced statistical techniques and machine learning algorithms to identify trends, patterns, and anomalies in supply chain data.\nPartner with supply chain teams to understand challenges and opportunities, translating business requirements into advanced analytics deliverables.\nAnalyze, report and present data driven solutions back to the organization to solve business problems and improve or redesign processes.\nRegularly assess the performance of deployed models and analytics solutions, iterating and refining as necessary to maintain accuracy and relevance.\nWhat We’re Looking For:\nEducation\nBachelor’s degree in Supply Chain, Statistics, Data Science, or a related field.\nTechnical Skills\nStrong hands-on Python experience is required.\nExperience using Python libraries such as scikit-learn, pandas, NumPy, or similar packages for advanced analytics and data science.\nSQL is nice to have.\nExposure to AI-assisted development tools, such as Codex, LLM-based tools, Google AI, or Gemini, to support and accelerate code development.\nExperience\nAt least 2-3 years of relevant experience in Data Analytics, Data Science, or a related analytics role.\nExperience managing, validating, and improving data quality.\nSupply chain industry/domain knowledge is nice to have, but not mandatory.\nStrong communication skills.\nPresentation and report-writing skills are nice to have.\n Don’t meet every single requirement? At Mattel, we are dedicated to an inclusive workplace and a culture of belonging. If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we still encourage you to apply. You may be just the right candidate for this or other roles.\nHow We Work:\nWe are a purpose driven company aiming to empower generations to explore the wonder of childhood and reach their full potential. We live up to our purpose employing the following behaviors:\nWe collaborate: Being a part of Mattel means being part of one team with shared values and common goals. Every person counts and working closely together always brings better results. Partnership is our process and our collective capabilities is our superpower.\nWe innovate: At Mattel we always aim to find new and better ways to create innovative products and experiences. No matter where you work in the organization, you can always make a difference and have real impact. We welcome new ideas and value new initiatives that challenge conventional thinking.\nWe execute: We are a performance-driven company. We strive for excellence and are focused on pursuing best-in-class outcomes. We believe in accountability and ownership and know that our people are at their best when they are empowered to create and deliver results.\nOur Approach to Flexible Work:\nWe embrace a flexible work model designed to empower a culture of growth, optimism, and wellbeing, where every employee can reach their full potential. Combining purposeful in-person collaboration with flexibility, our focus is to optimize performance and drive connection for moments that matter.\nWho We Are:\nMattel is a leading global toy and family entertainment company and owner of one of the most iconic brand portfolios in the world. We engage consumers and fans through our franchise brands, including Barbie, Hot Wheels, Fisher-Price, American Girl, Thomas & Friends, UNO, Masters of the Universe, Matchbox, Monster High, MEGA and Polly Pocket, as well as other popular properties that we own or license in partnership with global entertainment companies. Our offerings include toys, content, consumer products, digital and live experiences. Our products are sold in collaboration with the world’s leading retail and ecommerce companies. Since its founding in 1945, Mattel is proud to be a trusted partner in empowering generations to explore the wonder of childhood and reach their full potential.\nMattel’s award-winning workplace culture has been recognized by Forbes, Fast Company, Newsweek, Great Place to Work, TIME, and more.\nVisit us at https://jobs.mattel.com/ and www.instagram.com/MattelCareers.\nMattel is an Equal Opportunity Employer where we want you to bring your authentic self to work every day. We welcome all job seekers, and all applicants will receive consideration for employment.\nVideos to watch:\nThe Culture at Mattel\nCorporate Philanthropy","description_format":"text","description_chars":5934,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Toys, Games & Puzzles"],"lifecycle":[{"event":"open","at":"2026-10-01T10:20:36Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":24,"reasons":["conf:16","win:early","comp:junior,brand"],"computed_at":"2026-10-02T03:20:22Z"},"pay":null,"html_url":"https://alion.io/job/mattel-data-scientist","json_url":"https://alion.io/job/mattel-data-scientist.json","meta":{"generated_at":"2026-10-02T03:20:22Z","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":4568,"day_limit":5000,"remaining_today":432,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}