{"id":3191105,"url":"https://alion.io/job/caterpillar-data-scientist-7","title":"Data Scientist","company":{"id":176554,"name":"Caterpillar","domain":"caterpillar.com","url":"https://alion.io/company/caterpillar","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":88,"open_postings":37,"ghost_share":0,"stale_share":0.486,"repost_share":0,"time_to_fill_p50_days":35,"computed_at":"2026-10-26T05:57:25Z"}},"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":["Piracicaba, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Gmail","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-22T00:00:00Z","employer_posted_date":"2026-10-22","last_verified_at":"2026-10-24T15:35:07Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Career Area:\nTechnology, Digital and DataJob Description:\nYour Work Shapes the World at Caterpillar Inc.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nIT IS YOUR TIME!\nCaterpillar Inc. is the world’s leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For 100 years, we’ve been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.\nWhen you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.\nIf you are looking for personal and professional growth, in a company with an inclusive culture, which seeks equity, respects differences and believes in people's potential, this is the right place. We consider people with disability candidates and those with diversity in gender, culture, ethnicity, religion, age, generation, race, nationality and sexual orientation.\nImportant:\n- Don’t forget to include a resumé in English in your profile in Workday.\n- Please frequently check the email associated with your application, including the junk/spam, as this is the primary correspondence method. If you wish to know the status of your application, please use the candidate log-in on our career website as it will reflect any update s to your status.\nJob Summary:\nTurn complex, high-volume data into insights that help shape better business decisions.\nAs a Data Scientist in Piracicaba, you will work across the data lifecycle, from gathering and mining information through modeling, machine learning and visualization. You will help develop semantic-data capabilities using Natural Language Processing (NLP), text analytics and machine learning, while partnering with stakeholders to translate business needs into analytical requirements. You will also evaluate models and algorithms to improve analytical accuracy and effectiveness.\nThis role is well suited to someone who combines curiosity, analytical thinking and programming skills with a strong commitment to data quality.\nWhat you will do:\nGather, mine, clean and process large volumes of structured and unstructured data.\nCreate appropriate data models to support analytical and business needs.\nExplore and implement semantic-data capabilities using Natural Language Processing, text analysis and machine learning.\nPartner with stakeholders to define analytical requirements, questions and project scope.\nTranslate complex analysis into clear business insights and communicate results using data-visualization approaches.\nResearch and optimize data models and algorithms to improve the effectiveness and accuracy of analyses.\nUse rigorous validation and quality checks to help ensure trustworthy analytical outputs.\nWhat you will have:\nBusiness statistics: ability to generate and interpret statistical information and understand concepts such as sampling, distributions and standard deviation.\nMachine learning: working knowledge of ML techniques, descriptive and inferential statistics, data mining and data cleaning, with experience using languages/tools such as Python or R.\nAnalytical thinking: ability to frame problems, compare alternatives, recognize meaningful data patterns and reach evidence-based conclusions.\nAccuracy and attention to detail: ability to work reliably with large quantities of detailed information, balancing analytical speed with quality.\nData querying and requirements analysis: ability to retrieve and analyze data while collaborating with users and stakeholders to understand their requirements.\nBasic requirements:\nBachelor's degree in Computer Science, Mathematics, Physics, Data Science and Economics. \nPre-Advanced English.\n+2 years of professional experience utilizing Data Science techniques.\nWorking knowledge of statistical concepts and their application to business problems.\nWorking knowledge of machine learning principles, technologies and algorithms.\nAbility to work with Python, R and/or SQL for machine-learning and analytical activities.\nWorking knowledge of programming concepts and practices.\nExperience querying, extracting, filtering and analyzing data from databases or data warehouses.\nAbility to gather and document business and information requirements.\nDemonstrated analytical thinking and strong attention to detail.\nTop candidates will also have:\nExperience applying data science to manufacturing, industrial, engineering or operational problems.\nExperience communicating analytical findings to technical and non-technical audiences.\nExposure to production-oriented machine-learning workflows.\nExperience translating ambiguous business questions into measurable analytical problems.\nNote: This position requires the candidate to work on-site five days a week.\nSome of the offered benefits*:\nMedical plan \nDental plan\nMedicines reimbursement \nWellhub\nPsychological, Legal, Social and Finance Support Program\nPrivate pension plan\nProfit share\nChristmas basket\nTransportation \nLife and personal insurance\nExtended maternity and paternity leave\nEmployee resources group (Young Professional, Women in Networking, LAMBDA (LGBTQIA+), Latin Group and Active in Sport\n*Caterpillar reserves the right to change or modify benefits at any time, subject prior notice and in compliance with legal requirements. Benefit elegibility may vary by position and location.\nThe Recruitment & Selection area emphasizes that it does not use personal emails and/or emails from other domains (@gmail, @hotmail, etc.) to contact candidates. Available vacancies are only advertised through the company's official channels ( www.caterpillar.com/careers.html; https://www.linkedin.com/company/caterpillar-inc) , and official Caterpillar emails are mandatory followed by the domain @cat.com. Also, the company does not request any type of payment (bank transfer, pix, etc.) for the purposes of the selection process. For more information click on the link: https://www.caterpillar.com/pt/careers/apply-now/help.html\nPosting Dates:\noutubro 22, 2026 - novembro 5, 2026Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply\nNot ready to apply? 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