Data Scientist

About Ascendion

Ascendion is a leading provider of AI-powered software engineering solutions that help businesses innovate faster, smarter, and with greater impact. We partner with over 400 Global 2000 clients across North America, APAC, and Europe to tackle complex challenges in applied AI, cloud, data, experience design, and workforce transformation. Powered by more than 11,000 experts, a bold culture, and our proprietary Engineering to the Power of AI (EngineeringAI) approach, we deliver outcomes that build trust, unlock value, and accelerate growth. Headquartered in New Jersey, with 40+ global offices, Ascendion combines scale, agility, and ingenuity to engineer what’s next.

Learn more at https://ascendion.com/.

Engineering to the Power of AI™, AAVA™, EngineeringAI, Engineering to Elevate Life™, Enterprise PlatformsAI, Data & InsightsAI, ExperienceAI, GCCAI, OperationsAI, Platform EngineeringAI, ProductAI, and Quality EngineeringAIare trademarks or service marks of Ascendion®. AAVA™ is pending registration. Unauthorized use is strictly prohibited.

Ascendion | Engineering to elevate life

We have a culture built on opportunity, inclusion, and a spirit of partnership. Come, change the world with us:

• Build the coolest tech for the world’s leading brands
• Solve complex problems - and learn new skills
• Experience the power of transforming digital engineering for Fortune 500 clients
• Master your craft with leading training programs and hands-on experience

Experience a community of change makers!

Join a culture of high-performing innovators with endless ideas and a passion for tech. Our culture is the fabric of our company, and it is what makes us unique and diverse. The way we share ideas, learning, experiences, successes, and joy allows everyone to be their best at Ascendion.

Title: Data Scientist

Location: Hybrid/ Redmond, WA

Explain a typical day in the role Work directly with our Marketplace and Realms teams on improving content plans, monetization strategies, recommendation, and discovery.

This role is analytics heavy.

Summary:

• This is a Monetization data scientist role.
• Apply advanced analytics, experimentation, and predictive modeling to optimize monetization across three revenue pillars: Realms subscriptions, Marketplace content sales, and Creator on Demand.
• This role will build LTV models, analyze cross-product spend behavior, design and read out A/B tests on pricing and UX changes, and surface insights that drive revenue growth while protecting player experience.
• The ideal candidate has strong statistical foundations, fluency in Python and SQL on Databricks, and experience modeling user spending behavior in games or subscription products.

Job Responsibilities:

• Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies
• Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions
• Design, implement, automate and maintain large scale enterprise data ETL processes
• Modify existing databases and database management systems and/or direct programmers and analysts to make changes
• Test programs or databases, correct errors and make necessary modifications. What is the ideal background of a candidate for this role: Strong in business analytics and data science focused on post sale monetization of digital experiences.

Qualifications:

• Bachelor's degree in a technical field such as computer science, computer engineering or related field required
• 8-10 years applicable experience required
• Experience with database technologies
• Knowledge of the ETL process
• Knowledge of at least one scripting language
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions.

Top 3 Must-Have HARD Skills

• Python/Databricks (4+ years)
• presentation and communication (5+ years)
• attribution and causal inference (4+ years)

Salary Range: $1,66,400 - 1,70,000 Annually -Factors that may affect pay within this range may include geography/market, skills, education, experience, and other qualifications of the successful candidate.

Benefits: The Company offers the following benefits for this position, subject to applicable eligibility requirements: [medical insurance] [dental insurance] [vision insurance] [401(k) retirement plan] [long-term disability insurance [short-term disability insurance] [5 personal days accrued each calendar year. The Paid time off benefits meet the paid sick and safe time laws that pertain to the City/ State] [10-15 days of paid vacation time] [6 paid holidays and 1 floating holiday per calendar year]

Want to change the world? Let us know.

Tell us about your experienc