Data Scientist (ID: 2965)
Data Scientist (ID: 2965)
Posted on :
26-05-2025
Employer Active
1 Vacancy
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Jobs by Experience
6-8years
Monthly Salary
Not Disclosed
Salary Not Disclosed
Vacancy
1 Vacancy
Posted on :
26-05-2025
Job Description
As a Data Scientist you will:
- Design develop and implement optimization models to solve complex business problems in an enterprise or commercial setting.
- Collaborate closely with cross-functional teams including data scientists engineers and business stakeholders to translate business needs into analytical solutions.
- Apply your knowledge of Operations Research techniques using solvers such as Gurobi (preferred) CPLEX or COIN-OR.
- Write clean modular and well-documented Python code following object-oriented principles and clean code best practices.
- Support the development deployment and industrialization of analytical applications into production environments.
- Use visual debugging tools such as VS Code or PyCharm for efficient code troubleshooting.
- Manage code using Git and contribute to CI/CD pipelines involving Docker and fundamental DevOps practices.
- Work with SQL databases (e.g. PostgreSQL MySQL MSSQL) for data extraction and manipulation.
- Communicate complex technical topics in a simple clear and effective manner tailored to different audiences including non-technical stakeholders and management.
- Demonstrate proactive and independent problem-solving skills while working in a fast-paced international and agile environment.
What You Bring to the Table:
- 6 8 years of experience in Operations Research roles within enterprise or commercial environments.
- A Master s degree in Operations Research Applied Mathematics Industrial Engineering or a related field.
- Proven expertise in developing and scaling optimization models using solvers such as Gurobi CPLEX or COIN-OR.
- Strong proficiency in Python (object-oriented programming and clean code principles).
- Hands-on experience with at least one SQL dialect.
- Familiarity with at least one cloud platform (e.g. AWS Azure GCP).
- Experience with Jira CI/CD pipelines Git and Docker.
- Exposure to simulation and data visualization tools is considered a plus.
You should possess the ability to:
- Approach complex problems with a structured mindset and deliver scalable optimization solutions.
- Clearly explain and visualize complex technical concepts for different audiences.
- Work independently with minimal supervision while also contributing effectively in a team environment.
- Manage priorities and deliverables in a dynamic and collaborative setting.
What We Bring to the Table:
- An innovative and collaborative work environment where your expertise in optimization and problem-solving makes a real impact.
- The opportunity to work with advanced tools modern development practices and cloud technologies.
- A chance to be part of a diverse and forward-thinking team of experts in data science engineering and product development.
- Professional growth in a role that blends technical challenge with real-world business impact.
Let s Connect
Want to discuss this opportunity in more detail Feel free to reach out.
As a Data Scientist, you will: Design, develop, and implement optimization models to solve complex business problems in an enterprise or commercial setting. Collaborate closely with cross-functional teams including data scientists, engineers, and business stakeholders to translate business needs into analytical solutions. Apply your knowledge of Operations Research techniques using solvers such as Gurobi (preferred), CPLEX, or COIN-OR. Write clean, modular, and well-documented Python code following object-oriented principles and clean code best practices. Support the development, deployment, and industrialization of analytical applications into production environments. Use visual debugging tools such as VS Code or PyCharm for efficient code troubleshooting. Manage code using Git, and contribute to CI/CD pipelines involving Docker and fundamental DevOps practices. Work with SQL databases (e.g., PostgreSQL, MySQL, MSSQL) for data extraction and manipulation. Communicate complex technical topics in a simple, clear, and effective manner tailored to different audiences, including non-technical stakeholders and management. Demonstrate proactive and independent problem-solving skills while working in a fast-paced, international, and agile environment. What You Bring to the Table: 6 8 years of experience in Operations Research roles within enterprise or commercial environments. A Master s degree in Operations Research, Applied Mathematics, Industrial Engineering, or a related field. Proven expertise in developing and scaling optimization models using solvers such as Gurobi, CPLEX, or COIN-OR. Strong proficiency in Python (object-oriented programming and clean code principles). Hands-on experience with at least one SQL dialect. Familiarity with at least one cloud platform (e.g., AWS, Azure, GCP). Experience with Jira, CI/CD pipelines, Git, and Docker. Exposure to simulation and data visualization tools is considered a plus. You should possess the ability to: Approach complex problems with a structured mindset and deliver scalable optimization solutions. Clearly explain and visualize complex technical concepts for different audiences. Work independently with minimal supervision, while also contributing effectively in a team environment. Manage priorities and deliverables in a dynamic and collaborative setting. What We Bring to the Table: An innovative and collaborative work environment where your expertise in optimization and problem-solving makes a real impact. The opportunity to work with advanced tools, modern development practices, and cloud technologies. A chance to be part of a diverse and forward-thinking team of experts in data science, engineering, and product development. Professional growth in a role that blends technical challenge with real-world business impact. Let s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Asha Krishnan Phone: ; Extn :132 Email: LinkedIn: (13) Asha Krishnan | LinkedIn
Employment Type
Full Time
Key Skills
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