Highlights
Build solutions, optimize methodologies, deploy data pipelines.
Description
Job Summary
pThis role involves building measurement and planning solutions for publishers, advertisers, and agencies. You will identify AI opportunities in existing projects and implement them while supporting reproducible data science projects end-to-end.
Responsibilities
- Build measurement and planning solutions
- Identify and implement AI opportunities
- Support end-to-end reproducible data science projects
- Deploy and maintain data pipelines in production environments
- Work with cross-functional teams to optimize methodologies
- Communicate methodology and research findings to various audiences
- Address quality escapes and fix issues in production code
- Document new methodologies and code
Required Skills
- Data science
- Machine learning
- Python programming
- SQL database management
- Cloud computing (AWS/GCP)
Required Skills Explained
- Python: Essential for data manipulation and analysis.
- Spark: Used for big data processing and handling large datasets efficiently.
- SQL: Crucial for database management and querying.
- Artificial Intelligence & Machine Learning: Key to developing and implementing AI solutions in projects.
- Git and Code Versioning Tools (Gitlab): Important for version control of codebases.
- Atlassian Suite (JIRA, Confluence): Essential tools for project management and documentation.
- Cloud Computing (AWS, Google Cloud): Knowledgeable in cloud services is beneficial for scalable solutions.
- Statistics: Fundamental for data analysis and research methodologies.
Who is this for
pThis role is perfect for a Full Stack Data Scientist with 0-3 years of experience. Ideal candidates should have strong analytical and problem-solving skills.
Why This Job is a Good Opportunity
ulliGrowth Potential: The role offers opportunities to work on innovative projects that can significantly impact the industry.liMultidisciplinary Environment: Engage with cross-functional teams, providing exposure to diverse skill sets and perspectives.liImpactful Work: Contribute directly to solutions for publishers, advertisers, and agencies, making a tangible difference in data-driven strategies.liSkill Development: The role allows for continuous learning and development in AI, machine learning, and cloud computing technologies.
Interview Preparation Tips
- Practice Python and SQL coding challenges to demonstrate proficiency in these languages.
- Prepare examples of how you have applied AI and machine learning in previous projects or studies.
- Research common data science tools like JIRA, Confluence, and Gitlab to show familiarity with project management and version control systems.
- Create a portfolio showcasing your work on cloud computing platforms such as AWS or Google Cloud.
Career Growth in This Role
pThe role of a Full Stack Data Scientist provides ample opportunities for career growth. With experience, one can move towards leadership positions like Data Science Manager or even Foundational roles within AI product development. The skills gained are highly transferable to other industries and technologies, making this a versatile career path.pFurthermore, continuous learning in emerging areas such as deep learning, natural language processing, and advanced analytics will help stay ahead in the competitive field of data science.
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Skills
Frequently Asked Questions
What is the expected experience level?We are looking for candidates with 0-3 years of work experience.
Which cloud platforms are preferred?AWS and Google Cloud are preferred, but we also consider other platforms.
What kind of projects will I be working on?You will work on building measurement solutions and optimizing data pipelines for various clients.
