Talantix.io
Gametime•01.03.26
AI SCORE 8.5

Data Scientist - Marketing Analytics (Mobile) - Remote

$169K–$199K/year
RemoteGaming
Python•R•SQL•Data Visualization•Machine Learning•Statistical Analysis

About the Role

Gametime is hiring a full-time Data Scientist - Marketing Analytics (Mobile) to join our innovative team. This Data Scientist - Marketing Analytics (Mobile) remote position offers the opportunity to work from anywhere in the USA, contributing to our mission of enhancing user experiences in the gaming industry.

What You'll Do

  • Analyze mobile marketing data to derive actionable insights that drive user acquisition and retention strategies.
  • Develop predictive models to forecast user behavior and optimize marketing campaigns.
  • Collaborate with cross-functional teams to implement data-driven decisions that enhance product offerings.
  • Create and maintain dashboards to visualize key performance indicators and marketing metrics.
  • Utilize statistical techniques and machine learning algorithms to improve marketing effectiveness.

Requirements

  • 3+ years of experience as a Data Scientist, preferably in marketing analytics.
  • Strong proficiency in Python, R, or similar programming languages.
  • Experience with data visualization tools such as Tableau or Power BI.
  • Familiarity with SQL and database management.
  • Ability to communicate complex data insights to non-technical stakeholders.

Nice to Have

  • Experience in the gaming or mobile app industry.
  • Knowledge of A/B testing and experimental design.
  • Familiarity with cloud platforms like AWS or Google Cloud.

What We Offer

  • Competitive salary range of $169,272 - $199,143.
  • Fully remote work environment with flexible hours.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and growth.
  • Collaborative and innovative team culture.
Why This Job8.5 of 10

This remote Data Scientist position at Gametime offers a competitive salary and the chance to work in the dynamic gaming industry, making it an attractive opportunity for data professionals.

Salary Range
Required
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Optional
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Bonus
0/1

Who Will Succeed Here

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Proficient in Python and R for building predictive models and conducting statistical analysis, with experience in libraries like Pandas, NumPy, and Scikit-learn to manipulate and analyze mobile marketing data.

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Self-motivated and disciplined to thrive in a remote work environment, demonstrating strong time management skills to meet project deadlines while collaborating with cross-functional teams through tools like Slack and Zoom.

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Analytical mindset with a focus on data visualization skills using tools such as Tableau or Matplotlib to present complex insights in an understandable format to stakeholders, ensuring data-driven decision-making.

Learning Resources

→Python for Data Science Handbookguide
→Machine Learning with Python Coursecourse
→SQL Tutorial for Data Sciencearticle

Career Path

Data Scientist - Marketing Analytics (Mobile)(Now)→Senior Data Scientist - Marketing Analytics(1-2 years)→Lead Data Scientist - Marketing Strategy(3-5 years)

Market Overview

Market Size 2024
$19.2B
Annual Growth
25.4%
AI Adoption
72%
Investment in Data Science
+45%
Labour Demand for Data Scientists
+36%
Avg Salary for Data Scientists
$120K

Skills & Requirements

Required
PythonRSQL
Growing in Demand
Deep LearningNatural Language Processing (NLP)Data Engineering
Declining
SASSPSS

Domain Trends

Increased Focus on Real-Time Analytics
Organizations are investing heavily in real-time analytics capabilities, with 60% of companies reporting plans to adopt or enhance real-time analytics by 2025.
Integration of AI in Marketing Analytics
AI-driven tools are expected to dominate the marketing analytics landscape, with a projected growth of 40% in AI-based analytics solutions by 2025.
Shift Towards Automated Machine Learning (AutoML)
The adoption of AutoML tools is rising, with 55% of data scientists indicating they use AutoML to streamline model development, reflecting a shift towards efficiency in analytics workflows.

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