Data Scientist (TIBCO Spotfire & Big Data Analytics)

3 years

0 Lacs

Posted:15 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Contractual

Job Description

Hi



Job Summary: Very Urgent

Data Scientist

Key Responsibilities:

  • Design, develop, and deploy 

    interactive Spotfire dashboards

     to visualize oil field production data (e.g., well performance, reservoir behavior, downtime analysis).
  • Integrate and manage 

    large-scale databases

     (SQL, Oracle, cloud-based storage) to ensure efficient data retrieval and processing.
  • Collaborate with domain experts to understand business requirements and translate them into analytical solutions.
  • Perform 

    data wrangling, cleaning, and transformation

     of structured and unstructured datasets from various sources (SCADA, PI, production reports).
  • Implement 

    automated data pipelines

     and workflows to support real-time or near-real-time analytics.
  • Apply 

    statistical analysis, machine learning

    , and predictive modeling to identify trends, anomalies, and optimization opportunities.
  • Ensure data quality, governance, and security standards are met.
  • Provide training and support to end-users on Spotfire tools and best practices.


Required Qualifications:

  • Bachelor’s or Master’s degree in 

    Data Science, Petroleum Engineering, Computer Science

    , or a related field.
  • 3+ years of experience in 

    data analytics

     within the 

    oil & gas industry

    .
  • Proven expertise in 

    TIBCO Spotfire

    , including IronPython scripting, custom expressions, and data functions.
  • Strong knowledge of 

    SQL

    Python

    , and data integration tools (e.g., Alteryx, KNIME, ETL frameworks).
  • Experience working with 

    large datasets

     and 

    time-series data

     from production systems.
  • Familiarity with 

    oilfield operations

    , production KPIs, and reservoir engineering concepts.
  • Excellent problem-solving, communication, and stakeholder management skills.


Preferred Qualifications:

  • Experience with 

    cloud platforms

     (Azure, AWS) and 

    big data technologies

     (Spark, Hadoop).
  • Knowledge of 

    machine learning

     frameworks (scikit-learn, TensorFlow) and 

    data visualization best practices

    .
  • Exposure to 

    DevOps

     practices and version control (Git, CI/CD pipelines).
  • Past reservoir Engineering/petroleum Engineering experience
  • Past Experience in Spotfire


Offerings:

Number of Candidates Required 1

Country Kuwait

Office Work to be conducted in Client Offices

Tenure at least 3 months

November  2025 – deployment in 1 week after selection

Flights ; Flight tickets will be provided for business purposes

Local Ground Transportation ; We will not provide local/ground transportation on daily basis to and from office unless otherwise

Accommodation Upon joining 2 weeks of hotel accommodation will be provided, Candidate will have to manage by his own afterwards

Minimum Experience Level Requirement

data analytics

Eligibility

Candidate should be eligible to enter and live in Kuwait

Requirements;

  1. Candidate name
  2. Day Rate (All inclusive)
  3. Availability Notice Period
  4. Nationality.
  5. Candidate CV aligned to Scope of work above.


If Anyone Interested Please share a cv on my email bhuvaneshwar.singh@ampnext.com

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Apeiron Management logo
Apeiron Management

Oil and Gas

London England

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