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Gaming Science

Data Scientist / Machine Learning Engineer

$80k – $140k • 0.25% – 1.0%
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About Data Science at Statespace
Data is at the very core of our product and business. Gamers need better performance insights to improve at esports and it’s our mission to provide it to them.

Our data team is comprised of PhDs from cognitive neuroscience and computer science that have been crunching data and running stats for decades. In joining our team, you’ll have the opportunity to work alongside us every day, analyzing an incredibly rich and unique dataset.

Projects will predominantly involve working with our Chief Scientist modeling time-series data and building production-ready predictive models that will greatly impact our product.

We’re looking for a mathematical and machine learning expert that knows Python like the back of their hand. Experience in modelling psychophysical data and deploying cloud-based machine learning models would be a bonus.

We’re an early-stage startup so you’ll have the opportunity to work alongside individuals across the company. We love to promote collaboration so you should be excited to learn about other aspects of our business (e.g., data science, UI/UX) and up for explaining what you are working on to facilitate information sharing across teams.

Working in the game industry is a major perk. We love to play and stay at the forefront of the newest trends by playing together a lot. There’s no need to be a Grandmaster at Overwatch, but a strong interest in games will help provide context to the decisions we make as a company.

Above all else, we pride ourselves on building strong ties to our users and working hard to ship new features to them. If you want your efforts to have a significant impact on what you build and the team you are on, we’d love to hear from you.

Main Objectives
• Collaborate with Chief Scientist to scope R&D initiatives into tangible data science projects
• Manage high-dimensional datasets, including using clustering and dimensionality reduction
• Clean and wrangle data from a heterogeneous mix of sources
• Modeling biometric time-series data
• Training and validating classification algorithms
• Work closely with the data team to create and maintain data pipelines for scalable reporting and productionized models

Required skills:
• Bachelor's degree in a quantitative field (math, statistics, computer science, economics, physics). Graduate degree a plus
• Proficiency with Python and the scientific Python suite (numpy, pandas, sci-kit-learn, matplotlib, Jupyter notebooks)
• A solid foundation in statistics (probability distributions, maximum likelihood estimation) and undergraduate math (multivariable calculus, linear algebra)
• Familiarity with Postgres or another flavor of SQL
• Familiarity with deep learning (TensorFlow, Keras, or PyTorch)
• Familiarity with Matlab
• Enjoys working on small, agile teams
• Passionate about video games

• Familiarity with deploying cloud-based machine learning algorithms
• Familiarity working with biometric data
• Familiarity with psychophysics
• Building web-based data viz
• Interest in neuroscience and AI

• Competitive salary, equity, and benefits package (medical, dental, vision, commuter)
• Work on the cutting edge of neuroscience, tech, and video games at an • early stage VC-backed company
• Flexible work hours
• Generous PTO
• Test and play video games

We are located in NYC and prefer for you to join our team there but we will always consider exceptional talent located anywhere in the world that is passionate about what we do.

We believe in hiring the best, the brightest, and cultivating a culture of collaboration and appreciation. You will receive consideration for employment and will not be discriminated against on the basis of race, creed, color, religion, sex, sexual orientation, gender identity, national origin, marital status, citizen status, age, disability, military or protected veteran status, genetic predisposition or carrier status or any other legally protected status.




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