Data Science Analyst
We are seeking a talented and motivated Junior Data Scientist to join our team. The ideal candidate will have a foundational background in data analysis, predictive modeling, and machine learning, and will be excited to grow their skills and apply them to solve problems and generate insights that support our business strategies. This role will involve working with datasets, developing basic predictive models, and collaborating with various teams to deliver data-driven solutions, particularly within the energy sector. What we offerInteract with senior stakeholders on regular basis, to drive their business towards impactful change. Become the go-to person for end-to-end data handling, managementand analytics processes. Work with Data Engineers to take data throughout its lifecycle - acquisition, exploration, data cleaning, integration, analysis, interpretation and visualization. Become part of a fast-growing international and diverse team. What you will doAssist in analyzing datasets to identify trends, patterns, and insights, with a particular focus on energy consumption, production, and management. Develop, implement, and maintain basic predictive models and machine learning algorithms under the guidance of senior team members. Collaborate with cross-functional teams to understand business requirements and contribute to data-driven solutions. Create data visualizations to communicate findings and recommendations to both technical and non-technical stakeholders. Support in evaluating and improving model performance through validation techniques and hyperparameter tuning. Stay updated with the latest trends and advancements in data science and machine learning, especially as they pertain to the energy sector. Support solving problems, disaggregate issues, develop hypotheses and develop actionable recommendations from data analysis and analytical models, under supervision of consultants and Managers. Start communicating analyses via compelling presentations. Prepare and participate in both workshops and presentations. What you’ll bringBachelor’s degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A Master’s degree is a plus. Some experience (e. g. , internships, projects, or 1-2 years of work) in a Data Scientist role or related position. Basic programming skills in Python (R or Scala is a plus). Knowledge of predictive modeling techniques, time-series analysis, regression analysis, clustering, classification, and dimensionality reduction. Familiarity with machine learning tools and libraries (e. g. , scikit-learn, TensorFlow, PyTorch). Knowledge in SQL and database management systems. Ability to manipulate and analyze datasets using tools such as Pandas, NumPy, and other data analysis libraries. Good communication skills and the ability to work collaboratively in a consultancy environment. Preferred skills:Familiarity with cloud services, particularly Azure. Basic knowledge of GitHub and version control. Exposure to deploying models in production environments. Interest in advanced machine learning techniques such as deep learning, NLP, and reinforcement learning. Awareness of energy sector challenges and opportunities. #J-18808-Ljbffr
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