drjobs Data Scientist - RFO20A03502 العربية

Data Scientist - RFO20A03502

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Job Location drjobs

Sacramento - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Job Description

Project Title: Data Warehouse Consulting Services
Client: California Department of Transportation
Job Code: RFO20A0350
Duration: 1 year
Location: Sacramento CA(Hybrid)

Data Scientist

  • Certified for Oracle Autonomous Database Cloud 2021 Certified Specialist and/or Oracle Machine Learning using Autonomous Database 2021 Certified Specialist.
  • The Data Scientist is responsible for leveraging advanced analytical techniques and statistical methods to extract insights from large and complex data sets. This role involves developing predictive models conducting data analysis and collaborating with crossfunctional teams to solve business problems and drive strategic decisionmaking. The ideal candidate will have strong programming skills a deep understanding of statistical modeling and experience with machine learning algorithms.

    Responsibilities:

    • Effectively utilize data analytics to analyze large amounts of information to discover trends and patterns. Build predictive models and machine1learning algorithms.
    • Build predictive models and machinelearning algorithms.
    • Propose solutions and strategies for overcoming business challenges.
    • Experience using business intelligence tools.
    • Create datarich dashboards implementing Rowlevel Security (RLS) in Power BI writing Dax expressions developing custom BI solution with scripting and programming languages such as R Python etc.
    • Conduct performance tuning and optimization of BI dashboard and reporting solutions for efficient and effective data retrieval and visualization.
    • Work with the business areas to facilitate adherence to approved best practices.
    • Analyze large and complex data sets to identify trends patterns and correlations.
    • Develop and implement predictive models and machine learning algorithms to solve business problems.
    • Maintain data pipelines and workflows for efficient data processing.


    Employment Type

    Full Time

    Company Industry

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