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Data Scientist / Data Engineer
Data Scientist / Data EngineerAkaasa Technologies • United States
Data Scientist / Data Engineer

Data Scientist / Data Engineer

Akaasa Technologies • United States
6 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Job Description

As a Data Scientist / Data Engineer you will design, implement, and maintain advanced data pipelines and analytical frameworks that feed into cutting-edge AI models. You will collaborate with machine learning engineers, AI architects, and domain experts to ensure datasets are high-quality, well-structured, and optimized for model training and deployment. By transforming raw data into actionable insights, you will be a crucial enabler of scalable, reliable AI solutions for real-world energy applications.

Key Responsibilities

Data Engineering

  • Design, build, and optimize scalable data pipelines for acquiring and processing large, complex datasets (e.g., IoT sensors, 2D / 3D imaging).
  • Implement and manage ETL (Extract, Transform, Load) processes to prepare data for AI model training.
  • Monitor and maintain data integrity, quality, and accessibility throughout the AI development lifecycle.
  • Develop and enforce standards for data governance, storage, and security.

Data Science

  • Perform exploratory data analysis (EDA) to identify trends, anomalies, and patterns relevant to AI objectives.
  • Conduct data preprocessing, feature engineering, and labeling to create machine learning-ready datasets.
  • Collaborate with machine learning engineers to inform model architecture choices and training strategies.
  • Validate AI models by applying advanced statistical analysis and performance evaluation metrics.
  • Collaboration & Integration

  • Partner with multidisciplinary teams to integrate trained AI models into operational systems.
  • Ensure data workflows and model pipelines are reusable, flexible, and well documented for future development cycles.
  • Support iterative improvement processes by analyzing model performance and adjusting data inputs accordingly.
  • Requirements

  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, or a related field.
  • Proven experience in data engineering and / or data science, preferably with large-scale sensor or geospatial data.
  • Proficiency in Python, SQL, and ML frameworks such as TensorFlow or PyTorch.
  • Familiarity with 2D / 3D data formats, point cloud processing, and GIS tools is a strong plus.
  • Solid understanding of machine learning concepts and experience supporting AI / ML model development.
  • Strong analytical and problem-solving skills, with attention to detail and data quality.
  • Excellent communication skills in English (spoken and written); German is a plus.
  • Ability to work independently and collaboratively in a fast-paced, agile environment.
  • Preferred Qualifications

  • Experience with DevOps, CI / CD pipelines, and containerization (Docker, Kubernetes).
  • Knowledge of MLOps practices and model deployment in production environments.
  • Familiarity with scientific literature and research best practices.
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    Data Scientist • United States

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