Senior Data Scientist (Data Product)

TL;DR

Senior Data Scientist (Data Product): Designing and building scalable data pipelines and solutions to empower rapid analytical decision making with an accent on data reliability, data quality, and business insights generation. Focus on optimizing user growth strategies through data-driven insights and building machine learning models.

Location: Hybrid, onsite Tuesday, Wednesday, and Thursday in San Mateo, CA, United States

Salary: $221,380–$263,670 USD per year

Company

hirify.global is building tools and a platform for its global community of developers and creators to bring immersive 3D digital experiences to life, aiming to connect a billion people.

What you will do

• Design and build scalable data pipelines and solutions.
• Ensure data reliability and quality across the Engine data science team.
• Uplevel the team in terms of data craftsmanship and best practices.
• Perform dashboarding and data analysis to generate business insights.
• Collaborate with product managers and other data scientists.
• Partner with product teams to optimize user growth strategies.

Requirements

• Minimum of 2 years of experience in analytical engineering, data engineering, or a similar role.
• Advanced or equivalent degree in Computer Science, Mathematics, Statistics or a related discipline.
• Experience with SQL, Spark, Python, Airflow, and data visualization.
• Experience with data mining, warehousing, and building ETL pipelines.
• Expertise in transforming data with SQL and a scripting language such as Python or R.
• Experience with distributed systems using frameworks such as Spark, Hadoop, or Flink.
• Work from headquarters in San Mateo, CA, United States.
• Onsite presence required Tuesday, Wednesday, and Thursday.

Nice to have

• Experience in the systems domain and/or gaming industry.

Culture & Benefits

• Opportunity to shape the future of human interaction and solve unique technical challenges at scale.
• Collaborative environment with product managers, engineers, and data scientists.
• Focus on data-influenced approach to building products and making decisions.
• Eligible for equity compensation and a comprehensive benefits package.
• Emphasis on data craftsmanship, best practices, and impact-driven work.