

Akkodis
Data Scientist 4- Marketing Campaigns/Gaming
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Scientist 4 specializing in Marketing Campaigns/Gaming in Redmond, WA (Hybrid) for a 3-month contract at $85-$90/hr. Requires 5+ years in SQL and Python, and 3+ years in Power BI dashboard creation.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
720
-
ποΈ - Date
February 26, 2026
π - Duration
3 to 6 months
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Yes
-
π - Location detailed
Redmond, WA
-
π§ - Skills detailed
#Microsoft Power BI #Data Engineering #Data Exploration #Spark (Apache Spark) #Python #Security #SQL (Structured Query Language) #PySpark #Databricks #BI (Business Intelligence) #Visualization #Data Profiling #Data Science #Azure #A/B Testing
Role description
Akkodis is seeking a Data Scientist 4- Marketing Campaigns/Gaming with a client in Redmond WA 98052 -Hybrid for 3 months contract
Title: Data Scientist 4- Marketing Campaigns/Gaming
Location: Redmond, WA 98052 -Hybrid
Contract: 3-month contract with possible extension.
Pay Range: $85/hr. -$90/hr. (The rate may be negotiable based on experience, education, geographic location, and other factors)
Job Description:
In this role, you will be responsible for driving insights that inform our Player Lifecycle Marketing efforts. Youβll 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 analyses that identify key drivers of monetization, engagement, and retention.
Responsibilities
β’ Perform data exploration, profiling and proof-of-concept table creation to assist engineering partners in building and improving the production data environment.
β’ 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.
β’ Build and maintain causal inference frameworks
β’ Provide analysis and recommendations on how to best optimize campaigns for player engagement, retention, and post-sale monetization, with clear prioritization of what to do next with expected impact.
β’ 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?
β’ 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.
β’ 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).
β’ Communicate clearly across disciplines: Provide clear, consistent, and concise communication with varied stakeholders
β’ Conduct analysis to identify statistically significant impact from campaigns and provide recommendations for tests to add to the roadmap
β’ Synthesize campaign results into recommendations for stakeholders, clearly communicating assumptions, limitations, and confidence in results
β’ Collaborate with marketing, PM, and engineering stakeholders to define success metrics, measurement plans, and instrumentation needs for campaigns and lifecycle initiatives.
β’ Provide clear, consistent and concise communication and presentation with varied stakeholders including data engineer, PM and marketing partners.
Top 3 Hard Skills Required and Years of Experience
1. Minimum 5 yearsβ experience with SQL & Python skills
1. Minimum 5 yearsβ experience with presenting data and insights to stakeholders
1. Minimum 3 yearsβ experience with creating dashboards for data, preferably in Power BI.
Qualifications
β’ 5 years of experience in data analytics, including data profiling, table creation and marketing analytics.
β’ 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.
β’ 3 years of experience with dashboarding tools, Power BI preferred.
β’ Experience with marketing tools such as Braze, Salesforce, and CleverTap
β’ Proficient in Python, bonus if familiar with PySpark.
β’ Able to work in a collaborative, diverse, and fast-paced team.
β’ Excellent analytical and problem-solving skills and autonomy when faced with solving data problems.
β’ Excellent verbal, visual and written communication skills.
β’ Insight synthesis & business framing: Demonstrated ability to translate complex analyses into clear insights, implications, and recommendations-not just charts-tailored to the audience.
β’ 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).
β’ Stakeholder-ready outputs: Comfortable presenting findings and writing succinct narratives (one-pagers, experiment readouts, QBR summaries), with a consistent data insight action structure.
β’ Interest in games, bonus if experience in the gaming industry.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit
https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance
Akkodis is seeking a Data Scientist 4- Marketing Campaigns/Gaming with a client in Redmond WA 98052 -Hybrid for 3 months contract
Title: Data Scientist 4- Marketing Campaigns/Gaming
Location: Redmond, WA 98052 -Hybrid
Contract: 3-month contract with possible extension.
Pay Range: $85/hr. -$90/hr. (The rate may be negotiable based on experience, education, geographic location, and other factors)
Job Description:
In this role, you will be responsible for driving insights that inform our Player Lifecycle Marketing efforts. Youβll 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 analyses that identify key drivers of monetization, engagement, and retention.
Responsibilities
β’ Perform data exploration, profiling and proof-of-concept table creation to assist engineering partners in building and improving the production data environment.
β’ 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.
β’ Build and maintain causal inference frameworks
β’ Provide analysis and recommendations on how to best optimize campaigns for player engagement, retention, and post-sale monetization, with clear prioritization of what to do next with expected impact.
β’ 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?
β’ 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.
β’ 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).
β’ Communicate clearly across disciplines: Provide clear, consistent, and concise communication with varied stakeholders
β’ Conduct analysis to identify statistically significant impact from campaigns and provide recommendations for tests to add to the roadmap
β’ Synthesize campaign results into recommendations for stakeholders, clearly communicating assumptions, limitations, and confidence in results
β’ Collaborate with marketing, PM, and engineering stakeholders to define success metrics, measurement plans, and instrumentation needs for campaigns and lifecycle initiatives.
β’ Provide clear, consistent and concise communication and presentation with varied stakeholders including data engineer, PM and marketing partners.
Top 3 Hard Skills Required and Years of Experience
1. Minimum 5 yearsβ experience with SQL & Python skills
1. Minimum 5 yearsβ experience with presenting data and insights to stakeholders
1. Minimum 3 yearsβ experience with creating dashboards for data, preferably in Power BI.
Qualifications
β’ 5 years of experience in data analytics, including data profiling, table creation and marketing analytics.
β’ 5 years of experience with SQL, bonus if familiar with SparkSQL, Databricks, or Azure Data Explorer.
β’ 3 years of experience with dashboarding tools, Power BI preferred.
β’ Experience with marketing tools such as Braze, Salesforce, and CleverTap
β’ Proficient in Python, bonus if familiar with PySpark.
β’ Able to work in a collaborative, diverse, and fast-paced team.
β’ Excellent analytical and problem-solving skills and autonomy when faced with solving data problems.
β’ Excellent verbal, visual and written communication skills.
β’ Insight synthesis & business framing: Demonstrated ability to translate complex analyses into clear insights, implications, and recommendations-not just charts-tailored to the audience.
β’ 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).
β’ Stakeholder-ready outputs: Comfortable presenting findings and writing succinct narratives (one-pagers, experiment readouts, QBR summaries), with a consistent data insight action structure.
β’ Interest in games, bonus if experience in the gaming industry.
Equal Opportunity Employer/Veterans/Disabled
Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, an EAP program, commuter benefits, and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs that are direct hires to a client.
To read our Candidate Privacy Information Statement, which explains how we will use your information, please visit
https://www.akkodis.com/en/privacy-policy
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:
Β· The California Fair Chance Act
Β· Los Angeles City Fair Chance Ordinance
Β· Los Angeles County Fair Chance Ordinance for Employers
Β· San Francisco Fair Chance Ordinance






