Data Scientist (TIBCO Spotfire & Big Data Analytics)

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