Senior Data Scientist, Product - Canada

Key Skills

Aartificial intelligence, Data science techniques, Database, Machine learning techniques, Mathematical modeling, MATLAB Programming, Python Programming, SAS, Scala Programming, SQL, Statistical modeling

Job Description

At Inworld, we’re building the future of immersive experiences. Our mission is to create and inspire new meaningful relationships. We provide a creative suite for building virtual characters, with a focus on gaming and brand experiences. Our goal is to give creators an intuitive and powerful way to create lifelike, engaging, and expressive personalities.

Inworld AI is funded by top-tier investors, including Kleiner Perkins, Intel, Microsoft, and Founders Fund, and a team of all-star angels - corporate executives, top VC funds' partners, and industry veterans from Riot Games, Twitch, and Oculus.

You will:

• This is our first data science hire. You will build out the initial data science / analytics function to support our company and product’s growth and development - with an opportunity to be a senior leader in the company and ecosystem.
• Develop quantitative models, leveraging machine learning and advanced data analysis techniques.
• Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our product.
• Work closely with engineering and product teams to understand requirements and help build solutions.
• Build reports, and dashboards using SQL, Python, or other scripting and statistical tools.
• Determine analytics approach to solve business problems and incorporate machine learning algorithms where appropriate.

You have:

• Bachelor’s / Master’s degree / Ph.D. in Mathematics, Statistics, Computer Science, Computer Engineering, or related field.
• 3+ years of professional experience in data science focusing on AI/ML products.
• Strong coding and problem solving skills.
• Experience working with natural language data (experience working with gaming or 3D environments a plus)
• Experience in one or more programming languages (e.g., Python, Scala, etc.).
• Experience in one or more Statistical or mathematical software (E.g.,SAS, or Matlab, etc.).
• Experience in database modeling, SQL, and data warehousing principles.
• Experience in Machine Learning methods and libraries.
• Experience in product analytics working with product and user behavior data.