Position Overview:
We are looking for a skilled Data Scientist / Senior Data Scientist to join our team. In this role, you will design, build, and deploy machine learning models, implement MLOps frameworks, and develop data pipelines and systems to support business needs. You will also be responsible for maintaining and improving our existing codebase, ensuring scalability, reliability, and best practices.
The ideal candidate has 2+ years of experience in data science, machine learning, and analytics, with strong programming skills (Python, Scala) and SQL. Knowledge of distributed systems, big data technologies (e.g., Spark, Hadoop), and cloud platforms (AWS, GCP) is a plus. Strong communication skills, stakeholder management ability, and a proactive, agile mindset are essential.
We offer the opportunity to work on impactful projects, collaborate with cross-functional teams, and grow your career within our data science function. Candidates may join as a Data Scientist or Senior Data Scientist, depending on experience, with a clear path for advancement and leadership opportunities.
Key Responsibilities:
- Develop, validate, and deploy machine learning models for business applications.
- Implement and manage MLOps frameworks for deployment, monitoring, and lifecycle management.
- Design and optimize data pipelines and systems to ensure data reliability and efficiency.
- Maintain, refactor, and improve existing codebases to enhance scalability and reliability.
- Conduct exploratory and advanced data analysis to generate actionable insights.
- Collaborate with teams to integrate solutions within distributed systems and big data environments.
- Partner with stakeholders to understand business needs and translate them into data solutions.
- Apply agile methodologies to manage tasks and deliver solutions iteratively.
- (For senior-level candidates) Provide technical guidance, mentor junior team members, and contribute to architectural decisions.
Qualifications:
- Bachelor’s degree or higher in Computer Science, Data Science, Statistics, Engineering, or a related field.
- 2+ years of professional experience in data science, machine learning, or related fields.
- Proficiency in machine learning model development and familiarity with MLOps practices.
- Experience in data pipeline development, ETL processes, and system design.
- Hands-on experience in maintaining and improving production codebases.
- Knowledge of distributed computing frameworks (e.g., Spark, Hadoop) and big data technologies is an advantage.
- Strong programming skills in Python or Scala, with solid SQL knowledge.
- Familiarity with cloud platforms (AWS, GCP) and container technologies (Docker, Kubernetes).
- Strong communication skills and ability to manage stakeholders effectively.
- Proactive, adaptable, and capable of working in a fast-paced, agile environment.
Remuneration and Other Benefits
- Attractive salary as per industry best practice
- Yearly salary review based on performance
- Weekly 2 holidays
- 2 festival bonuses (Yearly)
- Weekly medical consultancy
- Annual leave encashment
- Medical coverage
- Congenial & friendly working environment
Deadline
September 20, 2025