Data Scientist

Are you an experienced Data Scientist with a desire to excel? If so, then Talent Software Services may have the job for you! Our client is seeking an experienced Data Scientist to work in their company in Redmond, WA.

Position Summary: The team focuses on performing data science and data analysis within a large gaming studio to meet various business needs. This role involves analyzing data from marketing and engineering teams and making recommendations based on the results of marketing A/B tests. The goal is to evaluate the impact of evergreen campaigns on key metrics and develop analyses that identify key drivers of monetization, engagement, and retention for a large AAA gaming studio. The role involves analyzing lifecycle marketing campaign results and creating presentations that highlight insights to drive improvements in future campaigns and identify investment opportunities. In this role, you will be responsible for driving insights that inform Player Lifecycle Marketing efforts. You'll partner with marketing and engineering teams to ensure a robust pipeline from database to reporting for Player Lifecycle marketing campaigns. You will analyze and make recommendations on the results of marketing A/B tests and evaluate the impact of evergreen campaigns on key metrics. You will develop and lead analysis that identifies key drivers of monetization, engagement, and retention.

Primary Responsibilities/Accountabilities:

• Perform data exploration, profiling, and proof-of-concept table creation to assist engineering partners in building and improving the production data environment.
• Maintain and improve dashboards in Power BI that enable stakeholders to understand the impact of specific campaigns as well as the broader Player Lifecycle Messaging (PLM) impact.
• Build and maintain causal inference frameworks.
• Provide analysis and recommendations on optimizing campaigns for player engagement, retention, and post-sale monetization, with clear prioritization of "what to do next” with expected impact.
• Synthesize Insight Narratives: Turn analyses into clear, decision-ready narratives that connect activity to gaming business outcomes (e.g., engagement, retention, Marketplace/Realms monetization), answering What happened? Why? So what? Now what?
• Executive-ready Communication: Produce clear readouts (deck-ready visuals, annotated dashboards, short written summaries) that communicate the "throughline” from campaign setup → player behavior change → business implication—tailored to technical and non-technical audiences.
• Create Shared Understanding of the Funnel: Help stakeholders understand how performance fits into the broader game ecosystem by building and socializing lifecycle frameworks, and by clarifying tradeoffs (e.g., engagement vs. monetization impacts).
• Communicate Clearly Across Disciplines: Provide clear, consistent, and concise communication with varied stakeholders.
• Conduct analysis to identify statistically significant impact from campaigns and provide recommendations for tests to add to the roadmap.
• Synthesize campaign results into recommendations for stakeholders, clearly communicating assumptions, limitations, and confidence in results.
• Collaborate with marketing, PM, and engineering stakeholders to define success metrics, measurement plans, and instrumentation needs for campaigns and lifecycle initiatives.
• Provide clear, consistent, and concise communication and presentations with varied stakeholders, including data engineers, PMs, and marketing partners.

Qualifications:

• 5 years of experience in data analytics, including data profiling, table creation, and marketing analytics.
• 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.
• 3 years of experience with dashboarding tools, Power BI preferred.
• Experience with marketing tools such as Braze, Salesforce, CleverTap.
• Proficient in Python, bonus if familiar with PySpark.
• Able to work in a collaborative, diverse, and fast-paced team.
• Excellent analytical, problem-solving skills, and autonomy when faced with solving data problems.
• Excellent verbal, visual, and written communication skills.
• Insight Synthesis & Business Framing: Demonstrated ability to translate complex analyses into clear insights, implications, and recommendations—not just charts—tailored to the audience.
• Data Visualization & Narrative Clarity: Strong visual communication skills: chooses the right chart/story structure, highlights drivers, quantifies impact, and makes results easy to interpret (including clear caveats).
• Stakeholder-ready Outputs: Comfortable presenting findings and writing succinct narratives (one-pagers, experiment readouts, QBR summaries), with a consistent "data → insight → action” structure.
• Interest in games, bonus if experience in the gaming industry.
• Local to the Seattle area.
• Minimum 5 years of experience with SQL & Python skills
• Minimum 5 years of experience presenting data and insights to stakeholders
• Minimum 3 years of experience creating dashboards for data, preferably in Power BI
• Years of Experience Required: 7 years of experience in the field.
• Degrees or Certifications Required: No degree is required for this role.
• The ideal candidate has previous experience as a data scientist working on marketing campaigns in the gaming industry. Experience building and maintaining causal inference frameworks/pipelines is a significant advantage.
• Performance will be assessed based on the quality of recommendations provided to stakeholders and the impact of decisions made by those stakeholders.