Who we’re looking for:

You’re ready to take the next step in your Data Science career - to a fast-moving, successful company building out their world class player matching system! You’re passionate about data and finding patterns and insights that others often overlook. You’re looking to have a big impact on a small team. You’re oozing with curiosity and want to find new and novel ways to leverage your current skill set.

What You’ll Do:

• Work on a platform level player matching system that impacts thousands of games and bottom line.
• Implement models for anomaly detection, online and offline.
• Building or adapting recommendation system and NLP use cases
• Evaluate model applications holistically, from design through development, implementation, and ongoing monitoring and maintenance with best practices.
• Communicate and explain your findings to a larger business audience. Work with business analyst team to present findings.
• Real world data science problems and not busy data analytical work.  Learn on the job, expect fast paced environment and support of follow data scientists

Your Skillz:

• Bachelor’s Degree plus 1 years of experience in machine learning, relational databases, data analytics,
• Experience building and training predictive models
• Some programming experience (Python, R, Scala, Conda/Anaconda, Spark,or more)
• Basic understanding of optimization methodologies
• Good understanding of A/B testing methodologies

Bonus:

• Master’s Degree in “STEM” field (Science, Technology, Engineering, or Mathematics), or PhD in “STEM” field (Science, Technology, Engineering, or Mathematics)
• Prior experience in statistical algorithm design
• Experience analyzing user behavior
• Prior experience in gaming
• Prior experience in finance
• Prior experience in recommendation engine

Skillz embraces diversity and is proud to be an equal opportunity employer. As part of our commitment to diversifying our workforce, we do not discriminate on the basis of age, race, sex, gender, gender identity, color, religion, national origin, sexual orientation, marital status, citizenship, veteran status, or disability status, and we operate in compliance with the San Francisco Fair Chance Ordinance.