Summary:
We’re in search of an experienced Data Scientist 4 with strong expertise
in SQL, Python, Power BI, and marketing experimentation to support Player
Lifecycle Marketing initiatives within a large AAA gaming studio. This role
will focus on lifecycle campaign analysis, A/B testing, causal inference, and
executive-ready insight storytelling to drive engagement, retention, and
monetization outcomes.
Here are some of the specific
details:
Job Title: Data Scientist 4
Location: Redmond, WA (Hybrid)
Duration: 03+ Months Contract
Status: W2 Only
Job Description
- Analyze lifecycle marketing campaigns and evaluate
the impact of A/B tests and evergreen initiatives on engagement,
retention, and monetization metrics.
- Perform data exploration, profiling, and
proof-of-concept table creation to support improvements in the production
data environment.
- Build and maintain dashboards in Power BI to
communicate Player Lifecycle Messaging (PLM) performance and campaign
impact.
- Develop and maintain causal inference frameworks to
measure statistically significant campaign impact.
- Provide clear recommendations on optimizing
campaigns, prioritizing “what to do next” with estimated business impact.
- Translate complex analyses into executive-ready
narratives answering: What happened? Why? So what? Now what?
- Create lifecycle funnel frameworks and help
stakeholders understand tradeoffs across engagement and monetization.
- Collaborate cross-functionally with marketing, PM,
and engineering teams to define success metrics, measurement strategies,
and instrumentation needs.
- Deliver experiment readouts, QBR summaries,
dashboards, and one-pagers tailored to both technical and non-technical
audiences.
MUST HAVE Skills
- Minimum 5+ years of strong SQL experience
- Minimum 5+ years of Python experience
- Minimum 5+ years of experience presenting data
insights to stakeholders
- Minimum 3+ years of experience building dashboards
(Power BI preferred)
- Strong experience with A/B testing, statistical
significance analysis, and causal inference
- Experience working with marketing analytics and
lifecycle campaign measurement
- Excellent communication and insight storytelling
skills
Nice to Have
- Experience with SparkSQL, Databricks, or Azure Data
Explorer
- Experience with PySpark
- Experience with marketing tools such as Braze,
Salesforce, or CleverTap
- Experience in gaming or strong interest in the gaming
industry
Let me know if you are interested in this job
and/or if you can assist us by referring someone who is interested in this job,
since we offer the lucrative referral bonuses.
A reasonable, good faith estimate of
the minimum and maximum for this position is $75
to $80
Benefits will also be
available and details are available at the following link: Harvey Nash Benefits
I am looking forward to speaking with you today.
