Job Description
Role: Data Scientist
Type: Freelance / Contract / B2B
Start Date: ASAP
Duration: 6 Months Initially (Extension Expected)
Location: Remote
Are you a Data Scientist who loves solving complex problems and building machine learning models that make a real-world impact? Join a global energy innovator leading the charge towards a more sustainable future.
You’ll be part of a dynamic Data & Analytics team that’s transforming how data is used to drive decarbonization and energy efficiency worldwide. This is a fully remote, hands-on contract role where your models and insights will directly shape global sustainability outcomes.
What You’ll Be Doing:
- Develop and maintain predictive and NLP models using AWS SageMaker and related tools.
- Analyze complex datasets to uncover insights that drive smarter energy decisions.
- Work closely with engineers and data teams to deploy scalable ML solutions.
- Build algorithms and statistical models to improve accuracy and performance.
- Present actionable insights to senior stakeholders across the organization.
What We’re Looking For:
- Strong grasp of ML algorithms (regression, decision trees, neural networks).
- Proficiency in Python, SQL, and libraries such as Pandas, Scikit-learn, or TensorFlow.
- Experience with AWS (SageMaker, CDK) and Snowflake.
- Background with cloud-based ML platforms (AWS / Azure / GCP).
- Knowledge of Tableau or similar visualization tools.
- Analytical mindset with excellent communication skills.
If you’re excited by the chance to use data to shape a sustainable energy future, apply now and let’s talk!