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Splash Software LLC

Data Scientist

Splash Software LLC
United Arab Emirates · Full-time · Not Applicable

About The Role

We are seeking a highly motivated Data Scientist to join our team and drive data-driven decision-making through advanced analytics and machine learning models. The ideal candidate will have a strong technical background, a passion for uncovering insights from complex datasets, and the ability to collaborate with cross-functional teams to solve business challenges.

Key Responsibilities

  • Design and implement machine learning models to predict trends, detect anomalies, and uncover actionable insights.
  • Analyze structured and unstructured datasets to identify patterns and opportunities for optimization.
  • Develop predictive models and algorithms for key business use cases, such as risk management, forecasting, and segmentation.
  • Collaborate with data engineers and analysts to ensure data readiness for analysis and model deployment.
  • Use statistical techniques to validate hypotheses, assess model performance, and improve decision-making processes.
  • Create and present data-driven insights and recommendations to stakeholders in a clear and compelling manner.
  • Deploy, monitor, and refine models in production environments to ensure scalability and reliability.
  • Stay updated on the latest advancements in data science and machine learning, incorporating best practices into projects.


Qualifications

  • Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, or a related field.
  • Proven experience as a Data Scientist, with expertise in building and deploying machine learning models.
  • Proficiency in Python or R, with experience in data manipulation libraries (e.g., Pandas, NumPy) and machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch).
  • Strong knowledge of statistical methods, data modeling, and hypothesis testing.
  • Experience working with large-scale data in environments such as Elasticsearch or SQL databases.
  • Familiarity with data visualization tools (e.g., Kibana, Tableau, or Matplotlib) for presenting insights.
  • Excellent problem-solving and analytical skills with attention to detail.
  • Strong communication skills, with the ability to translate complex data findings into actionable insights for non-technical stakeholders.


Preferred Skills

  • Hands-on experience with anomaly detection and forecasting models.
  • Knowledge of big data tools and frameworks (e.g., Hadoop, Spark).
  • Familiarity with MLOps practices and tools for deploying and managing machine learning models in production.
  • Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) for data science workflows.
  • Understanding of Elasticsearchs machine learning capabilities is a plus.

Key Skills

Ranked by relevance

c machine learning ha elasticsearch cloud cis data visualization tensorflow matplotlib big data tableau pytorch python pandas hadoop scala excel numpy spark mlops sql aws esp sla oop das pan ai ui kf
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Posted
Dec 17, 2024
Type
Full-time
Level
Not Applicable
Location
Dubai

Industries

IT Services IT Consulting

Categories

Engineering Information Technology

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