Data Scientist

Suzano

$95K — $115K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a relevant field such as Data Science or Statistics.
  • 3+ years of experience in Data Science or a related role.
  • Strong proficiency in programming languages like Python, R, or SQL.
  • Experience in statistical modeling and machine learning techniques.
  • Proficient with data visualization tools like Power BI or Tableau.
  • Ability to translate complex data analyses into business recommendations.

Responsibilities

  • Analyze large datasets to identify trends and opportunities for improvement.
  • Develop and deploy predictive models to meet operational objectives.
  • Collaborate with stakeholders to create data-driven solutions.
  • Design dashboards and reports that effectively communicate insights.
  • Perform data mining and statistical analysis to enhance decision-making.
  • Ensure data quality and integrity across analytics initiatives.
  • Stay updated on best practices in data science and analytics.

Benefits

  • Comprehensive Medical, Dental, and Vision coverage.
  • Financial protection through Life and AD&D Insurance.
  • Short-term and long-term Disability Insurance.
  • 401(k) Retirement Plan with company matching contributions.
  • Access to an Employee Assistance Program (EAP).
  • Wellness Programs promoting physical and mental health.
  • Employee Discounts on a variety of products and services.
Full Job Description
About the Role: Suzano is looking for a Data Scientist to help drive data-informed decision-making across our business operations. This role will be responsible for analyzing complex datasets, developing predictive models, identifying trends, and delivering actionable insights that support operational excellence, sustainability initiatives, and strategic growth. The ideal candidate will combine strong analytical expertise with business acumen and a passion for solving complex problems through data. We are searching for someone passionate about data science and advanced analytics, with aspirations to grow with Suzano's international footprint. What You're Going to Do:
  • Analyze large, structured, and unstructured datasets to identify trends, patterns, and opportunities for business improvement.
  • Develop, test, and deploy predictive and prescriptive analytics models to support operational and strategic objectives.
  • Collaborate with business stakeholders to understand challenges and translate them into data-driven solutions.
  • Design and maintain dashboards, reports, and visualizations that communicate insights effectively to technical and non-technical audiences.
  • Perform data mining, statistical analysis, and machine learning modeling to improve business performance and decision-making.
  • Partner with IT, Operations, Finance, Supply Chain, and other business functions to drive analytics projects.
  • Ensure data quality, integrity, and governance standards are maintained across analytics initiatives.
  • Develop data pipelines and automate processes to improve efficiency and scalability.
  • Monitor and evaluate model performance, making adjustments as needed to optimize outcomes.
  • Stay current on emerging technologies, methodologies, and best practices in data science and analytics.
What We Expect from You:
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, Engineering, Analytics, or a related field from an accredited institution.
  • 3+ years of experience in a Data Scientist, Data Analyst, Business Intelligence, or related analytics role.
  • Strong proficiency in Python, R, SQL, or other data analysis and programming languages.
  • Experience with statistical modeling, machine learning techniques, and predictive analytics.
  • Strong knowledge of data visualization tools such as Power BI, Tableau, or similar platforms.
  • Experience working with large datasets and relational databases.
  • Ability to translate complex analytical findings into actionable business recommendations.
Preferred Qualifications:
  • Master's degree in Data Science, Analytics, Statistics, Computer Science, or a related field.
  • Experience with cloud platforms such as Azure, AWS, or Google Cloud.
  • Knowledge of manufacturing, industrial operations, supply chain, or sustainability analytics.
  • Experience developing and deploying machine learning models in production environments.
  • Familiarity with data engineering concepts, ETL processes, and data warehousing.
  • Experience with AI, generative AI, or advanced analytics solutions.
  • Strong critical thinking skills with the ability to analyze problems, identify root causes, and develop effective solutions.
What We're Looking For:
  • Collaborative Energy: Someone who communicates effectively and works well with individuals across all departments. Someone who is adaptable and resourceful, thriving in both structured and fast-paced environments.
  • Proactiveness: Can take initiative and identifies areas of improvements.
  • Positive Mindset: A can-do attitude with a strong commitment to providing excellent support and service.
Professionals who share our values Suzano - People and Culture. Read more here: https://www.suzano.com.br/en/suzano/about-us/people-and-culture We are pleased to offer an attractive compensation and benefits package for this role, which includes:
  • Medical, Dental, and Vision Insurance: Comprehensive coverage options to support your health and well-being.
  • Life and AD&D Insurance: Financial protection for you and your loved ones.
  • Disability Insurance: Short-term and long-term disability coverage to protect your income.
  • 401(k) Retirement Plan: Company matching contributions to help you save for the future.
  • Employee Assistance Program (EAP): Support for personal and work-related issues.
  • Wellness Programs: Access to programs promoting physical and mental health.
  • Employee Discount Program: Discounts on various products and services, including travel, electronics, and more.
If we have piqued your interest, we look forward to receiving your application. #Proudtobepartof #JoinSuzano

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