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Data Scientist

2 weeks ago

Dubai, Dubai, United Arab Emirates Splash Software Full time

About theRole

We are seeking a highlymotivated Data Scientist to join our team and drive datadrivendecisionmaking through advanced analytics and machine learningmodels. The ideal candidate will have a strong technical backgrounda passion for uncovering insights from complex datasets and theability to collaborate with crossfunctional teams to solve businesschallenges.

KeyResponsibilities

  • Design and implement machine learning models topredict trends detect anomalies and uncover actionableinsights.
  • Analyze structured and unstructureddatasets to identify patterns and opportunities foroptimization.
  • Develop predictive models andalgorithms for key business use cases such as risk managementforecasting and segmentation.
  • Collaborate withdata engineers and analysts to ensure data readiness for analysisand model deployment.
  • Use statisticaltechniques to validate hypotheses assess model performance andimprove decisionmaking processes.
  • Create andpresent datadriven insights and recommendations to stakeholders ina clear and compelling manner.
  • Deploy monitorand refine models in production environments to ensure scalabilityand reliability.
  • Stay updated on the latestadvancements in data science and machine learning incorporatingbest practices into projects.

Qualifications

  • Bachelors or Masters degree in Computer ScienceData Science Statistics Mathematics or a relatedfield.
  • Proven experience as a Data Scientistwith expertise in building and deploying machine learningmodels.
  • Proficiency in Python or R withexperience in data manipulation libraries (e.g. Pandas NumPy) andmachine learning frameworks (e.g. Scikitlearn TensorFlowPyTorch).
  • Strong knowledge of statisticalmethods data modeling and hypothesistesting.
  • Experience working with largescaledata in environments such as Elasticsearch or SQLdatabases.
  • Familiarity with data visualizationtools (e.g. Kibana Tableau or Matplotlib) for presentinginsights.
  • Excellent problemsolving andanalytical skills with attention todetail.
  • Strong communication skills with theability to translate complex data findings into actionable insightsfor nontechnical stakeholders.

Preferred Skills

  • Handson experience with anomaly detection andforecasting models.
  • Knowledge of big data toolsand frameworks (e.g. Hadoop Spark).
  • Familiaritywith MLOps practices and tools for deploying and managing machinelearning models in production.
  • Experience withcloud platforms (e.g. AWS Google Cloud Azure) for data scienceworkflows.
  • Understanding of Elasticsearchsmachine learning capabilities is aplus.
Key Skills
Laboratory Experience,Immunoassays,MachineLearning,Biochemistry,Assays,ResearchExperience,Spectroscopy,Research & Development,cGMP,CellCulture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Experience: years
Vacancy: 1