Senior Data Scientist - Optimization Algorithms
Senior Data Scientist - Optimization Algorithms
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Job Description
Are you ready to join a cuttingedge Digital Solution Company and help to shape the future of business IT solutions
Our client is a leading global provider of IT solutions and services known for their customercentric approach to digital transformation. With a rich history dating back to 1996 they have continually evolved to meet the changing needs of their customers. Their services encompass consulting technology and outsourcing delivering innovative solutions to complex challenges. They have also been honored multiple times as a top employer including being named a Great Place To Work from 2015 to 2024.
You will be working on a project for a major international company operating in the energy and industrial engineering sector. Currently a heuristic algorithm is in use and you will be expected to assess its effectiveness and determine whether it should be retained or replaced with a linear optimization approach.
Your future responsibilities will include:
- Analyze structured and unstructured datasets to extract meaningful insights and patterns.
- Evaluate improve or replace heuristic optimization algorithms with linear or other optimization methods as appropriate.
- Build and deploy endtoend machine learning (ML) and AI solutions in production environments on AWS Cloud.
- Design and execute experiments with appropriate statistical methods and performance metrics.
- Work on forecasting anomaly detection and predictive modeling for time series data.
- Apply computer vision and deep learning techniques on image data for classification detection or segmentation tasks.
- Collaborate with crossfunctional teams including Data Engineering DevOps and Business to translate business problems into analytical solutions.
- Document methodologies and present findings to stakeholders in a clear and actionable manner.
- Continuously explore new tools frameworks and best practices to improve model accuracy and deployment efficiency.
Requirements:
- 5 years of experience in data science machine learning or applied AI roles.
- Proven experience with optimization algorithms including heuristic and linear programming approaches.
- Strong proficiency in Python (pandas NumPy scikitlearn TensorFlow/PyTorch etc.).
- Solid understanding of AWS services related to AI/ML (SageMaker Lambda S3 EC2 etc.).
- Handson experience with time series modeling including ARIMA Prophet LSTM or other forecasting techniques.
- Experience working with unstructured data such as images using deep learning models.
- Proficiency in data preprocessing feature engineering and model evaluation.
- Bachelors or Masters degree in Computer Science Data Science Statistics Applied Mathematics or a related field.
Nice to Have:
- Familiarity with MLOps principles and CI/CD for ML deployment.
- Experience with realtime data processing and model inference pipelines.
- Knowledge of containerization tools such as Docker and orchestration tools like Kubernetes.
- Exposure to tools like Airflow MLflow or Kubeflow.
- Strong communication and storytelling skills using data visualization tools (e.g. Plotly Dash Tableau).
You will love to join this company for:
- B2B contract
- Competitive package in line with the best market standards
- Worklife balance
- Agile work environment
- Support in learning and development further while also providing multiyear career opportunities
Employment Type
Full Time
