Data Science Specialist

Posted:
9/5/2024, 5:55:06 AM

Location(s):
São Paulo, Brazil

Experience Level(s):
Junior

Field(s):
AI & Machine Learning ⋅ Data & Analytics

3M has a long-standing reputation as a company committed to innovation. We provide the freedom to explore and encourage curiosity and creativity. We gain new insight from diverse thinking, and take risks on new ideas. Here, you can apply your talent in bold ways that matter.

Job Description:

3M is seeking a Data Science Specialist located in Brazil to join the Corporate Services & Operational Excellence (CSOE) Data Analytics team (CODA) within Integrated Business Operations (IBO).

Job Summary:

We are currently looking for individuals with strong backgrounds in data science and business analysis to join our team. Our CODA data science chapter focuses on identifying opportunities to apply machine learning (ML) to solve problems such as automation, prediction, and personalization. We empower IBO for growth, operational excellence, and effective risk control.

Primary Responsibilities include but are not limited to the following:

  • Work with large sets of relevant and high-quality data, including but not limited to direct sales, point of sale, CRM data, and industry data.
  • Apply powerful learning algorithms to make predictions and gain predictive insights for sales estimation, AR overdue forecast, order fulfillment predicting, targeting/ customer clustering, text analysis, anomaly detection, and more.
  • Use optimization techniques to transform predictions into actionable prescriptions. Ensure that actions taken, and relevant metrics are stored to achieve business value.

Basic Qualifications:

  • Possess a bachelor’s degree or higher (completed and verified prior to start) from an accredited institution.
  • Minimum of one year of combined experience in predictive and prescriptive data analytics.
  • Good skills on machine learning algorithms, Python, SQL, etc., with 2+ years of experience.
  • Advanced English

Preferred Qualifications:

  • Master’s degree or higher from an accredited institution.
  • Strong technical expertise, including intermediate-level data processing, machine learning algorithms, programming language scripting, data visualization, basic ML Ops platform knowledge, and probability and statistics.
  • Experience in customer-facing roles with good business understanding and knowledge.
  • Experience working within a globally matrixed organization.

Travel:

May include up to 10% domestic/international travel.

Supporting Your Well-being
3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.


Imagine your future in 3M
At 3M, inspiration happens daily. Here, science is how the magic happens. Except it is not magic, it is the right science, applied in the right way by the people of 3M. Here, your ideas help shape everyday lives around the globe. Here, you matter. You inspire. Challenge. Create. Thrive. Here, you go. Apply now and discover inspired opportunities!

Learn more about 3M’s creative solutions to the world’s problems at www.3M.com or on Twitter @3M.

A 3M é um empregador que oferece oportunidades iguais à todos. A 3M não discriminará nenhum candidato baseado em sua raça, cor, idade, religião, gênero, orientação sexual, identidade ou expressão de gênero, nacionalidade ou deficiência.

Our approach to flexibility is called Work Your Way, which puts employees first and drives well-being in ways that enable 3M’s business and performance goals. You have flexibility in where and when work gets done. It all depends on where and when you can do your best work.

Please note: your application may not be considered if you do not provide your education and work history, either by: 1) uploading a resume, or 2) entering the information into the application fields directly.

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3M Company

Website: https://3m.com/

Headquarter Location: Saint Paul, Minnesota, United States

Employee Count: 10001+

Year Founded: 1902

IPO Status: Public

Industries: Automotive ⋅ Cleaning Products ⋅ Consulting ⋅ Electronics ⋅ Enterprise Software ⋅ Manufacturing