Senior Data Scientist
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Key skills for this role
About the Role
Brainlake is seeking an experienced Senior Data Scientist to design and deliver data-driven solutions. You will collaborate with stakeholders to identify AI opportunities, build predictive models and GenAI applications, and mentor junior team members.
Key Skills for This Role
Responsibilities
- Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
- Translate business requirements into scalable data science and machine learning solutions
- Validate data availability and define analytical approaches for new use cases
- Build predictive models, machine learning solutions, and GenAI applications
- Design robust data pipelines and analytical workflows
- Apply data processing, feature engineering, and statistical modelling techniques
- Ensure solutions are scalable, production ready, and aligned with software engineering and MLOps best practices
- Present analytical findings and recommendations to technical and executive stakeholders
- Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
- Mentor junior team members and support technical delivery across multiple initiatives
Requirements
- Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
- 5+ years of hands on experience delivering data science or machine learning solutions
- Strong Python programming skills and experience with modern data science libraries
- Experience building predictive models, machine learning solutions, and GenAI applications
- Strong understanding of statistics, data modelling, and feature engineering
- Experience designing scalable data pipelines and production ready AI solutions
- Familiarity with MLOps, model deployment, and machine learning lifecycle management
- Excellent stakeholder management and communication skills
- Ability to translate complex technical concepts into business value
Full Job Posting
Overview
- We're looking for an experienced Senior Data Scientist to design and deliver data driven solutions that solve complex business problems and create measurable impact.
- Working closely with business stakeholders, product teams, and technical experts, you'll transform business challenges into scalable analytical, machine learning, and GenAI solutions.
What You'll Do
- Collaborate with business stakeholders to identify and prioritize AI and analytics opportunities
- Translate business requirements into scalable data science and machine learning solutions
- Validate data availability and define analytical approaches for new use cases
- Build predictive models, machine learning solutions, and GenAI applications
- Design robust data pipelines and analytical workflows
- Apply data processing, feature engineering, and statistical modelling techniques
- Ensure solutions are scalable, production ready, and aligned with software engineering and MLOps best practices
- Present analytical findings and recommendations to technical and executive stakeholders
- Communicate AI capabilities, feasibility, risks, and expected business value in a clear and practical way
- Mentor junior team members and support technical delivery across multiple initiatives
You're Our Match If You Have
- Master's degree in Data Science, Computer Science, Artificial Intelligence, Mathematics, Software Engineering, or a related field
- 5+ years of hands on experience delivering data science or machine learning solutions
- Strong Python programming skills and experience with modern data science libraries
- Experience building predictive models, machine learning solutions, and GenAI applications
- Strong understanding of statistics, data modelling, and feature engineering
- Experience designing scalable data pipelines and production ready AI solutions
- Familiarity with MLOps, model deployment, and machine learning lifecycle management
- Excellent stakeholder management and communication skills
- Ability to translate complex technical concepts into business value
Bonus Points If You Have Experience With
- Telecommunications or other customer centric industries
- Large scale customer analytics and segmentation
- Large Language Models (LLMs) and Retrieval Augmented Generation (RAG)
- Cloud platforms such as Azure, AWS, or Google Cloud
- Databricks, Spark, or distributed data processing
- Docker, Kubernetes, or CI/CD pipelines
- Leading or mentoring technical teams
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