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3-6 Years
MYR 6,000 - 8,000 per month
Quick Apply
  • Posted 2 months ago
  • Over 50 applicants have applied

Job Description

Role Summary

The Data Scientist will be responsible for analyzing complex datasets, developing predictive models, and delivering actionable insights to support business and operational decision-making. The role involves working closely with cross-functional teams to build machine learning solutions, optimize production processes, and drive innovation through advanced analytics and AI technologies.

Key Responsibilities

  • Collect, clean, preprocess, and analyze structured and unstructured datasets from multiple data sources.
  • Develop, validate, and deploy predictive and machine learning models using Python-based frameworks.
  • Design machine learning algorithms for production optimization, anomaly detection, forecasting, and analytical use cases.
  • Perform feature engineering, hyperparameter tuning, and model performance optimization.
  • Collaborate with geologists, engineers, business stakeholders, and technical teams to deliver actionable insights.
  • Build and maintain production-ready machine learning solutions and analytical pipelines.
  • Work with data engineering teams to deploy models on cloud or on-premise environments.
  • Create visualizations, dashboards, and analytical reports for technical and non-technical stakeholders.
  • Stay updated with the latest trends in AI, machine learning, and data science technologies.
  • Mentor junior team members and contribute to continuous improvement initiatives.

Qualifications & Experience

  • Bachelor's or Master's Degree in Data Science, Computer Science, Engineering, Statistics, or related field.
  • Minimum 3 years of experience in Data Science, Machine Learning, or Advanced Analytics roles.
  • Strong programming skills in Python with experience in Pandas, NumPy, and scikit-learn.
  • Hands-on experience with TensorFlow, PyTorch, and machine learning model development.
  • Experience with SQL and NoSQL databases.
  • Exposure to AWS, Azure, or GCP cloud platforms for data storage and model deployment.
  • Experience with data visualization tools such as Matplotlib, Seaborn, and Plotly.
  • Oil & Gas domain experience or exposure to upstream/downstream datasets is an added advantage.
  • Familiarity with tools such as Petrel or Eclipse is beneficial.
  • Strong analytical thinking, problem-solving, communication, and stakeholder management skills. 

About Company

SHIVZ SOLUTION is a Premium Service provider in Top Talent Hiring Solutions Globally. Our Nimble and Agile Delivery Systems cater to a wide range of Talent Management Services that suit Client needs in an industry segment where Transformation is the order of the day and Innovation is key to stay on top of the Learning curve.

SHIVZ takes great pride in our “extra mile delivery” way to delight our clientele and the growing client expectations on a promising enterprise as ours is great testimony to the trust and confidence that our client’s repose in us. Our Customers are the powerhouse of our Invigorated Minds at work! We strive in every way to prove that Nothing is Impossible to Achieve in the Services that we offer to you, with efficiency in management and effective results. We believe that our capability to scale, to out beat “best in class” performance and embracing change swiftly and seamlessly are key competencies that always enable us to be future-ready.

SHIVZ understands that every business has unique needs and requirements, we will provide you with premier service tailored to you and your team’s needs.

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