Data Scientist
3 weeks ago
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.
Laboratory Experience,Immunoassays,MachineLearning,Biochemistry,Assays,ResearchExperience,Spectroscopy,Research & Development,cGMP,CellCulture,Molecular Biology,Data Analysis Skills
Employment Type : Full Time
Vacancy: 1
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