We are seeking a talented and analytical Data Scientist to join our data-driven team. As a Data Scientist, you will be responsible for analyzing large multimodal datasets, deriving valuable insights, and using advanced statistical and machine learning techniques to solve complex business problems. Your expertise will play a crucial role in guiding data-driven decision-making and driving innovation within our organization.
Responsibilities
Collaborate with cross-functional teams, including business stakeholders and data engineers, to identify data-driven solutions to business challenges.
Gather and preprocess large datasets from various sources, ensuring data quality and integrity
Design, train and finetune AI models for computer vision tasks.
Design, train and finetune AI models for pattern and anomaly detection.
Apply advanced statistical and machine learning techniques to model data, predict outcomes, and identify patterns and trends.
Develop and implement algorithms and models to optimize business processes and improve business performance.
Interpret and communicate analysis results to non-technical stakeholders, providing actionable insights and recommendations.
Collaborate with data engineers to deploy and integrate data models and algorithms into production systems.
Stay updated with the latest data science methodologies and industry best practices, integrating them into our data science projects.
Documentation: Create clear and concise documentation for AI models, algorithms, and processes to facilitate knowledge sharing and future development.
Qualifications
Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field.
Proven experience as a Data Scientist or a similar role, with a focus on data analysis and machine learning.
Proficiency in data manipulation and analysis using programming languages, such as Python.
Experience designing, training and finetuning models in computer vision, pattern analysis, anomalies detection or data mining fields.
Strong knowledge of statistical analysis, hypothesis testing, and machine learning algorithms.
Experience with data visualization tools and techniques to communicate insights effectively.
Familiarity with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
Solid understanding of data preprocessing, feature engineering, and data normalization techniques.
Experience with machine learning model formats (ONNX, etc).
Strong problem-solving and critical-thinking skills, with the ability to approach complex business problems analytically.
Effective communication and presentation skills, with the ability to convey technical concepts to non-technical audiences.
Our Benefits & Perks
Competitive compensation packages and comprehensive medical insurance to support you and your family.
Wellbeing-focused initiatives and resources, designed to enhance your personal and professional life.
Access to exclusive discount programs, offering savings across various lifestyle and leisure experiences across the UAE.
What Makes a Great Fit
If you are performance-driven and possess an inquisitive mind with the agility to navigate ambiguity, you will thrive here. At the heart of the Space42 community is a bias for action and a passion for developing innovative, efficient space services through AI-driven smart solutions that drive technological advancements and create a better tomorrow.
About Us
Space42 (ADX: SPACE42) is a UAE-based AI-powered SpaceTech company that integrates satellite communications, geospatial analytics and artificial intelligence capabilities to enlighten the Earth from space. Established in 2024 following the successful merger between Bayanat and Yahsat, Space42’s global reach allows it to address the rapidly evolving needs of its customers in governments, enterprises, and communities.
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