Data & Analytics Scientist / Engineer

GSB Solutions; Mogi Mirim; Presencial; BRL 80.000 - 150.000; Tempo integral

Resumo da oferta

An established industry player is seeking a skilled Data Analyst with extensive experience in manufacturing data analytics. This role involves extracting valuable insights from complex data, utilizing advanced machine learning techniques, and collaborating with cross-functional teams to drive business solutions. Candidates should possess a strong background in statistical programming and data visualization tools, along with excellent communication skills to convey findings effectively. This position offers the opportunity to work on impactful projects and travel to Argentina, enhancing your professional journey in a dynamic environment. If you are passionate about data and eager to tackle real-world challenges, this is the perfect opportunity for you.

Qualificações

• 8+ years of experience in data analytics within manufacturing environments.
• Strong knowledge of statistical programming and machine learning methods.

Responsabilidades

• Extract usable data from manufacturing systems and analyze patterns.
• Develop prediction systems and machine learning algorithms.

Conhecimentos

Data Analytics

Machine Learning

Statistical Programming (R, Python)

SQL

Data Visualization

Communication Skills

Data Wrangling

Mathematics

Formação académica

Bachelor’s degree in Engineering

Bachelor’s degree in Information Technology

Bachelor’s degree in Data Analytics

Ferramentas

PowerBI

Tableau

matplotlib

ggplot

d3.js

Descrição da oferta de emprego

Required Technical Skill Set

Expertise in data & analytics of Manufacturing real-time / transformed data, Factory Operational / Supply Chain KPIs

Experience Range: 8+ years

Location of Requirement: Brazil

Desired Competencies (Technical/Behavioral Competency)

Must-Have:

1. Bachelor’s degree in Engineering, Information Technology, Data Analytics, or a related field.

2. Expertise in Data Analytics of manufacturing real-time data, factory operational / supply chain KPIs, predictive / prescriptive analytics for manufacturing environment.

3. Programming Skills – knowledge of statistical programming languages like R, Python, and database query languages like SQL, Hive, Pig is desirable. Familiarity with Scala, Java, or C++ is an added advantage.

4. Statistics – Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc., and proficiency in statistics.

5. Machine Learning – good knowledge of machine learning methods like k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests, etc.

6. Strong Math Skills - understanding the fundamentals of Multivariable Calculus and Linear Algebra and algorithm optimization techniques.

7. Data Wrangling – proficiency in handling imperfections in data.

8. Experience with Data Visualization Tools like PowerBI, matplotlib, ggplot, d3.js, or Tableau that help to visually encode data.

9. Excellent Communication Skills with technical and non-technical audiences.

10. Hands-on experience with data science tools.

Good-to-Have:

1. Strong Software Engineering Background.

2. Problem-solving aptitude and analytical mind.

Responsibilities / Expectations from the Role:

1. Data mining or extracting usable data from valuable manufacturing system data sources.

2. Using machine learning tools to select features, create and optimize classifiers.

3. Carrying out the preprocessing of structured and unstructured data.

4. Enhancing data collection procedures to include all relevant information for developing analytic systems.

5. Identifying appropriate methodology/tools for processing, cleansing, and validating the integrity of data to be used for analysis.

6. Analyzing large amounts of information to find patterns and solutions. Reviewing data & analytics work carried out by solution partners/suppliers.

7. Developing prediction systems and machine learning algorithms.

8. Presenting results in a clear manner.

9. Proposing solutions and strategies to tackle business challenges.

10. Collaborating with Business and IT teams.

Important: 50% of the time to travel to Argentina, travel to Argentina will be borne by the client.

English Advanced mandatory.