Associate Data Scientist (MMM)
Job Description
About the Role
As an Associate Data Scientist at Shell, you will be working closely with cross-functional teams to drive business decisions through data-driven insights. Your primary responsibility will be to develop and implement data analytics solutions to improve operational efficiency and optimize business outcomes.
Day-to-day, you will be working with large datasets, developing predictive models, and visualizing data to communicate insights effectively to stakeholders. You will also be responsible for staying up-to-date with industry trends and emerging technologies to ensure Shell remains competitive.
Key Responsibilities
- Develop and maintain large-scale data analytics solutions using Python, R, or SQL.
- Collaborate with data engineers to design and implement data pipelines and architectures.
- Work with business stakeholders to understand their data needs and develop insights to inform business decisions.
- Develop and deploy machine learning models to solve complex business problems.
- Communicate complex data insights to non-technical stakeholders through data visualization and storytelling.
- Stay up-to-date with industry trends and emerging technologies to ensure Shell remains competitive.
Skills & Qualifications
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
- Strong programming skills in Python, R, or SQL.
- Experience with data visualization tools such as Tableau, Power BI, or D3.js.
- Knowledge of machine learning algorithms and experience with scikit-learn or TensorFlow.
- Experience with data engineering tools such as Apache Spark or Hadoop.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
What You'll Learn
As an Associate Data Scientist at Shell, you will have the opportunity to work with large datasets and develop predictive models to drive business decisions. You will also learn about the oil and gas industry and how data analytics can be applied to improve operational efficiency and optimize business outcomes.
You will have the chance to work with a diverse team of data scientists, engineers, and business stakeholders to develop and implement data analytics solutions. This role will provide you with the opportunity to learn from experienced professionals and develop your skills in data science and analytics.
Resume Tip
When applying for this role, be sure to highlight your experience with data visualization tools and your ability to communicate complex data insights to non-technical stakeholders. Use specific examples from your past experience to demonstrate your skills and showcase your ability to drive business decisions through data-driven insights.
Skills Required
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