Data Scientist - Data Analytics and Infrastructure
This role blends data science with infrastructure, focusing on building scalable pipelines and enabling cross-team data accessibility to drive business decisions. The ideal candidate thrives at the intersection of analytics and engineering, optimizing workflows for reliability and performance.
Skills required
About this role
We are looking for Data Scientists passionate about Data Analytics and Infrastructure, with strong foundations in data engineering, analytics, and statistics. You should enjoy working with large, complex datasets and developing efficient pipelines that enable scalable, reliable data analytics.
You’ll be responsible for designing and maintaining data infrastructure, automating workflows, and enabling data accessibility across teams. Your work will directly impact business decisions by delivering high-quality insights and building robust analytics systems. Strong problem-solving, communication, and collaboration skills are key for this role.
Qualifications
BS (or higher, e.g., MS, or PhD) in Computer Science, Data Engineering, or a related technical field
Experience building and maintaining data pipelines and infrastructure in production environments
Proficient in SQL and data wrangling at scale (e.g., Spark, Airflow, dbt, etc.)
Strong grasp of statistics, data modeling, and performance tuning
Skilled in Python (Pandas, Numpy, etc.) and data visualization tools (e.g., Tableau, Power BI)
Familiarity with cloud data platforms (e.g., AWS, GCP, Azure)
Ability to design data schemas and implement analytics tracking strategies
Analytical mindset with a focus on impact, efficiency, and scalability
Additional Information
We have competitive compensation.
Work on cool projects based on your interests and skills. We believe in accountability and NOT micro-management.
