Join the next-generation team of subsurface data experts, engineers, and geoscientists

Iraya is actively looking to fill the position of 5-10 Senior Data Scientists roles.

Senior Data Scientist

Responsibilities of Senior Data Scientist

• Responsible to ensure data required for analytic models is of required quality and that models are constructed to standards and deployed effectively.

• Implement data science industry best practices, relevant cutting-edge technology, and innovation in projects to ensure the right solutions fulfill the business requirements.

• Responsible to develop appropriate technical solutions to address business pain points with insights and recommendations.

• Implement established analytics strategy by adopting base and key technologies, and technical requirements when executing projects to ensure business value generation.

• Execute operational excellence through continuous technical improvement initiatives, and process improvement initiatives within projects to improve operations efficiency and effectiveness within own activity & projects

We are looking to fill positions in the following areas:

• MACHINE LEARNING
  Roles: Design analytics solutions for business problems; develop, evaluate, optimize, deploy and maintain models.

  Tech stack: ML Algorithms, Python, SQL, Spark, Git, Cloud Services MLOps

• NATURAL LANGUAGE PROCESSING
  Roles: Design text analytics solutions for business problems; develop, evaluate, optimize, deploy and maintain text processing and analytics solutions.

  Tech stack: Python, SQL, Git, NLTK, Deep Learning frameworks, MLOps

• COMPUTER VISION
  Roles: Design Image and video analytics solutions for business problems; develop, evaluate, optimize, deploy and maintain solutions

  Tech stack: Tensorflow, OpenCV, Fastai, Pytorch, MLFlow, Spark, MLlib Python, SQL, Git, MLOps,

• OPTIMIZATION/SIMULATION
  Roles: Design optimization and/or simulation analytics solutions for business problems; develop, evaluate, optimize, deploy and maintain solutions

  Tech stack: mathematical/process models, Simulation modelling, AnyLogic, Simio, Binary/Integer/Linear/Mixed programming, Gurobi, Python, MLOps, etc

REQUIREMENTS:

• Bachelor’s or Master’s degree in Data Science, Mathematics, Engineering, Computer Science, or in any other discipline
• At least 5 years of working experience covering advanced statistical analysis, machine learning, and/or optimization.
• Good in statistical and scripting programming languages (such as R, Python, and MATLAB)

RESPONSIBILITIES:

• Lead a team of 5- 10 data scientists, operating as a technical and people lead.
• Establish a vision and roadmap for the machine learning function in alignment with the company vision. Communicate easily with non-technical audiences.
• Deliver impact in a fast-paced, data-driven, and high-growth business, bringing innovative ideas using robust analysis, models, and insights
• Guide the team to solve key business problems and research new machine learning solutions.
• Provide technical guidance to team members; conduct frequent brainstorming/team sessions, and stay up-to-date with the latest ML developments.
• Build and deploy advanced supervised and unsupervised machine learning models – e.g. XGBoost/LightGBM, neural networks (auto-encoders, feedforward networks, RNNs/CNNs, language models, etc.), bandit/Bayesian algorithms, time-series modeling, and more.
• Carry out A/B test experiments and understand the basics of causal inference.

The ideal candidate will have:

• Ph.D. or Masters in Computer Science, Engineering, Physics,  Statistics, or related field
• Minimum of 5 years of experience in data science practice
• Minimum of 3 years of experience as a team lead (preferred)
• Strong background in machine learning and statistics. Solid foundation in data structures and algorithms.
• Experience deploying and maintaining ML models in production.

FRONT-END DEVELOPER

Responsibilities:

• Implement user interface designs in production

• Create and maintain Front-end logic

• Responsible for testing Front-end logic and interfaces

Skillset:

• At least 2 and 5 years of experience in production Front-end development for Junior and Senior positions, respectively.

  • Proficient in JavaScript (Vue, Node) and HTML and CSS (LESS)

• Knowledgeable user testing procedures

  • Experience in developing interactive data visualizations