Title : Staff Level Data Scientist II
Company : Swift Media Entertainment - Blitz.gg
Pay Range : $190-230k + Bonus and other incentives
Duration : Full Time, Direct Hire
Location : Playa Vista, CA 90045 - Los Angeles
Workplace : HYBRID, 4X onsite - Friday is remote
Interviews : 3 rounds - 1 behavioral screening with the Director of Data, 1 technical live coding assessment with the director of data, 1 onsite final with the team
Job Description :
As a Staff Data Scientist II at Blitz, you will play a critical role in analyzing and interpreting complex data sets to drive strategic decisions and improve Blitz games.
You will work closely with Blitz's game development, marketing, and user experience teams to uncover insights and create predictive models that enhance player experiences and optimize game performance.
This Staff Data Scientist II will implement predictive models to forecast player behavior, game performance, and market trends.
They will also utilize advanced statistical and machine learning techniques to build robust models for player retention, monetization, and engagement.
Having two chief responsibilities, our ideal candidate will be responsible primarily for predictive modeling, owning the end to end process from design, build, to launch and production.
One specific project Blitz is looking to take on is predictive game behavior analysis for a chatGBT bot. Secondarily, this Staff Data Scientist will also be responsible for analyzing large and complex datasets to extract meaningful insights that inform game design and development, to ultimately identify key performance indicators (KPIs) and develop dashboards to track and visualize game performance metrics.
Most importantly, the ideal candidate will have a proven passion for gaming and an in depth understanding of the gaming industry and an expert level understanding of gaming from the player perspective.
Working on a smaller team and in a start up environment, this staff level data scientist will contribute to the team's overall initiatives, mentor more junior members, while also maintaining their respective duties.
The bar will be high for this role as they are only bringing on one staff level data scientist for the foreseeable future.
This staff data scientist will be reporting into the Director of Data, working alongside a staff level data engineer.
This position requires all hires to be onsite Monday through Thursday out of our Los Angeles (Playa Vista) office, with the option to WFH on Friday.
Requirements :
- PhD or Master's degree with equivalent experience in Data Science, Computer Science, Statistics, Mathematics, or a related field.
- Minimum of 5 years of experience in data science, with a focus on predictive modeling and analytics. Minimum of 7 years of experience is required if the highest level of education is a Master's degree.
- Demonstrated experience overseeing the end to end process of a number of different predictive projects (whether that be AI driven CHATGBT, Recommender Systems, etc.,)
- Proven experience in the mobile or console gaming industry and a passion for understanding player behavior within game.
- Proficiency in programming languages such as Python, R, or similar.
- Strong knowledge of SQL and experience with large-scale data processing.
- Expertise in machine learning algorithms, statistical analysis, and data mining techniques.
- Experience with data visualization tools (e.g., Tableau, Power BI) and A / B testing methodologies.
- Ideally, this candidate would have experience both on an enterprise level, working with an AAA gaming company as well as a start-up environment.
Nice to have :
- Experience with structured and unstructured data
- Experience with Postgres and building structured tables
- Experience with Databricks and building structured tables
- Experience with GraphQL
What you'll do :
- Predictive Data Modeling :
- Develop and implement predictive models to forecast player behavior, game performance, and market trends.
- Utilize advanced statistical and machine learning techniques to build robust models for player retention, monetization, and engagement.
- Game Data Analytics :
- Analyze large and complex datasets to extract meaningful insights that inform game design and development.
- Conduct A / B testing and multivariate experiments to evaluate the impact of game features and updates.
- Identify key performance indicators (KPIs) and develop dashboards to track and visualize game performance metrics.
- Collaboration and Communication :
- Work closely with game designers, developers, and product managers to understand their data needs and provide actionable insights.
- Present findings and recommendations to stakeholders in a clear and concise manner.
- Mentor and guide junior data scientists and analysts within the team.
- Data Infrastructure and Tools :
- Develop and maintain data pipelines and infrastructure to ensure data accuracy and accessibility.
- Utilize tools such as SQL, Python, R, and data visualization software (Databricks) to analyze and present data.
Why Blitz?
Joining the Blitz team means embarking on one of the most intriguing challenges of your career at the intersection of video games and activity tracking.
You’ll be part of a forward-thinking company that values innovative problem-solving, bias toward action, and an inclusive culture that champions personal growth and collective success.
Our team members are not just employees they are active contributors to the gaming community with a shared vision of transforming the digital landscape.
What We Offer
- Competitive salary : $190-230k
- Annual performance bonus
- Stock options program
- Unlimited paid vacation
- Option for employer paid coverage (Medical, Dental, Vision) plan
- 401(k) matching
- Gaming laptop and peripherals
- Company-wide team building events
Exact compensation may vary based on several factors, including skills, experience, and education.
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching.
Employees in this role are also entitled to paid sick leave and / or other paid time off as provided by applicable law.