Experienced Full Stack Data Scientist – Web & Cloud Application Development

Join arenaflex, a vibrant and innovative company, as we continue to push the boundaries of what's possible in the world of data science. At arenaflex, we're passionate about empowering individuals to create a life they love. Our mission is to help people find their concept and make their lives better in the vast nook of the internet. As a key member of our team, you'll have the opportunity to tackle exciting challenges, develop as a leader in your field, and support Pinners in achieving their goals.

About arenaflex

arenaflex is a dynamic and inclusive workplace that celebrates the unique perspectives and skills of our employees. We believe in creating a work environment that is equitable, inclusive, and inspiring for everyone. Our modern work version, PinFlex, reflects our flexible approach to living and working.

Job Summary

We're seeking an experienced Full Stack Data Scientist to join our team and help us shape the approach of conversion information quality and develop solutions for reinforcing the data foundation for our advertising system. As a key member of our team, you'll work on a variety of exciting data science challenges, including defining and analyzing data quality, establishing causal relationships from observational data, and releasing the potential of ML model performance through the lens of data-centric AI.

Key Responsibilities

* Conduct deep-dive analysis to discover patterns in real-world user conversion data, identify data quality issues, and quantify their impact on our advertising system.

• Analyze causal connections between users' online behaviors and their conversions, identify causal signals in data, and develop metrics to measure the effectiveness of advertisements.
• Design and prototype automated solutions that identify data quality issues in our conversion data, develop high-sign education labels and features to enhance advertising ML model performance, and collaborate with engineers to integrate them into our advertising system.
• Collaborate closely with Product and Engineering teams as a thought partner, provide data-informed insights that shape the future roadmap and drive the long-term approach for building a high-quality conversion data foundation.

What We're Looking For

* 3+ years of hands-on experience as a data scientist, research scientist, or system learning engineer.

• Proven ability to apply scientific methods to resolve real-world problems on web-scale data.
• Proficiency in SQL/Hive. Expertise in at least one scripting language (preferably Python/R).
• Strong business and product sense: pride in shaping ambiguous questions into well-defined analyses and success metrics that drive business decisions.
• Excellent communication skills: able to communicate findings with management and product teams.
• Experience in causal inference and measurement. Familiarity with measuring causal impact using both online experimentation and observational study.
• Experience in data quality-related work, including quality assessment, anomaly detection, data cleaning, data governance, etc.
• Proven ability to design and implement system learning models, preferably with biased/incomplete/noisy training data. Deep knowledge of feature design and model assessment is strongly preferred.
• Proven ability to independently explore an ambiguous area and shape the product roadmap and approach using analytical efforts.

What We Offer

* Flexible and generous vacation and holidays

• Global year-end paid business closure
• Comprehensive health benefits for you and your family
• Retirement plans that allow for tax savings (subject to country of employment)
• Mental health and well-being benefits
• Personal and professional development resources
• Adoption assistance, paid parental leave, egg freezing (in the US) and other family-building benefits
• Discounts and perks
• Meals and snacks in the office

US-based candidates only

$35-$45 USD

Our Commitment to Diversity

arenaflex is an equal opportunity employer and makes employment decisions on the basis of merit. We want to have the best qualified people in each job. All qualified candidates will receive attention for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic under federal, state, or local law. We also consider qualified candidates regardless of criminal histories, consistent with legal requirements.

Are You the One We're Looking For?

If you believe you have what it takes, submit your application directly. We're eager to hear from talented candidates like you. Apply To This Job Apply for this job