Hybrid Data Scientist, Specialist II

at Suzano

• Job title: Data Scientist, Specialist II
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, Cloud, Python, SQL
• Location requirements: Hybrid, Jacarei, Brazil

About the role

• Data Scientist utilizing Machine Learning and statistics for business solutions at Suzano, a leader in sustainable products. Collaborating with teams and creating models for data-driven decisions.

Responsibilities

• Create models and model ensembles using combined techniques from Machine Learning, statistics, and optimization to solve business problems;
• Build tools focused on increasing the team's productivity in critical Machine Learning activities such as preprocessing, model development and deployment;
• Interpret results and produce visualizations and insights that build compelling narratives and action plans for the organization;
• Establish strong relationships with multiple internal areas to ensure comprehensive understanding of business requirements;
• Work in an agile, collaborative model within squads;
• Guide the team on methodology, tools and knowledge for solving problems with Machine Learning;
• Define best practices for Data Management and Code Management to ensure timeliness and rigor in developed solutions;
• Connect business problems to analytical opportunities, being able to estimate business benefits;
• Communicate professionally and concisely the benefits and levers of digital products to business stakeholders at various seniority levels;
• Provide technical leadership in one of the data science domains (Optimization, Computer Vision, NLP, etc.) across tribes, defining requirements, technologies and best practices;
• Build and manage analyses of multiple large-volume databases (e.g. transaction, seller, customer databases) using various technical tools (SQL, R, Python, Excel) to produce well-founded analyses with quality and rigor;
• Develop integer linear, mixed-integer optimization models, evolutionary algorithms and models using Artificial Intelligence techniques to solve business problems;
• Define the problem framing, features and the best way to create models for solutions;
• Create models as microservices or APIs on cloud or on-premises environments;
• Define, together with IT teams, Architecture, Security and Infrastructure requirements to ensure robustness and automation in developed solutions.

Requirements

• Bachelor's degree in STEM fields (statistics, technology, engineering or mathematics);
• Solid experience in data science—modeling and/or optimization projects;
• Experience with advanced analytical methods (e.g. Machine Learning / Deep Learning / Optimization, among others);
• Experience with programming languages and technologies such as Python, R and SQL;
• Knowledge of cloud infrastructure and services, such as containers, virtual machines, NoSQL databases and integration;
• Experience programming in Python and/or R and using these tools to publish models as microservices or APIs in the cloud or on-premises;
• Experience with collaboration and code versioning tools;
• Experience with CI/CD pipelines (Azure Pipelines, GitHub Actions, etc.);
• Preferred experience with exact optimization models and/or heuristics for problem solving;
• Technical knowledge: advanced statistics and financial analysis concepts;
• Preferred experience working with analytics, predictive modeling and data interpretation or similar areas;
• Experience in the industrial sector is considered a plus;
• Preferred specialization or postgraduate degree in machine learning, statistics or operations research;
• Preferred experience in strategy consulting and/or financial services.

Benefits

• Health coverage: Medical plan, Dental plan and Life Insurance;
• Meal card or cafeteria, grocery allowance (VA) to assist with supermarket purchases and an additional VA at the end of the year;
• In addition to fixed compensation, we offer extra earnings through our Variable Compensation Program (annual bonus);
• Private pension plan to help you prepare for the future;
• We support remote work for corporate areas, flexible working hours, and a casual dress code;
• We provide courses and e-learning training through our digital platform, UniverSuzano;
• At Suzano, good for us means good for the world — throughout the year we run many social initiatives and you can become a volunteer through our Voluntariar program;
• We also offer an Employee Discount Club with various partners for you to enjoy!
• **FOR THE FAMILY**
• As a responsible employer, we recognize the importance of a new child joining the family. We offer extended paternity leave of 20 days and maternity leave of 180 days. The benefit also applies to parents who adopt or obtain legal custody, and to same-sex couples;
• To help mothers return to work with peace of mind, we offer a childcare allowance;
• To always provide the best conditions for our team and their families, we provide a monthly financial allowance for a parent who has a child with special needs;
• Your children are not left out: we provide a toy voucher and a fully stocked school supplies kit! And, if children perform well at school at the end of the year, we recognize the effort through our 'Study is Growth' program with a cash award they can use as they wish.