Talantix.io
Gametime•10.03.26
AI SCORE 8.2

Data Scientist - Marketing Analytics (Mobile) Remote

$169K–$199K/year
RemoteB2C E-commerce
Python•R•Data Visualization•Tableau•Power BI•Statistical Analysis•Machine Learning•SQL

About the Role

Gametime is hiring a full-time Data Scientist - Marketing Analytics (Mobile) remote, working from the USA. In this role, you will leverage data to drive marketing strategies and enhance user engagement through mobile platforms. As a key member of our analytics team, you will be instrumental in shaping our marketing efforts and optimizing our mobile applications.

What You'll Do

  • Analyze large datasets to extract actionable insights that inform marketing strategies.
  • Develop predictive models to forecast user behavior and improve marketing campaigns.
  • Collaborate with cross-functional teams to implement data-driven marketing initiatives.
  • Utilize statistical techniques to measure the effectiveness of marketing efforts.
  • Present findings and recommendations to stakeholders to drive decision-making.

Requirements

  • 3+ years of experience as a Data Scientist, preferably in marketing analytics.
  • Proficiency in programming languages such as Python or R.
  • Experience with data visualization tools like Tableau or Power BI.
  • Strong understanding of statistical analysis and machine learning techniques.
  • Excellent communication skills to convey complex data insights to non-technical stakeholders.

Nice to Have

  • Experience in the mobile app industry.
  • Familiarity with A/B testing methodologies.
  • Knowledge of SQL for database management.

What We Offer

  • Competitive salary ranging from $169,272 to $199,143 annually.
  • Fully remote work environment with flexible hours.
  • Health, dental, and vision insurance.
  • Generous paid time off and holidays.
  • Opportunities for professional development and growth.
Why This Job8.2 of 10

This Data Scientist role at Gametime offers a unique opportunity to work remotely while driving marketing strategies in the mobile sector. With a competitive salary and a focus on professional growth, it's an attractive position for data professionals.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

→

Proficient in Python and R for data manipulation and statistical analysis, with a strong understanding of libraries like Pandas and NumPy to handle large datasets efficiently.

→

Self-motivated and disciplined to thrive in a fully remote work environment, demonstrating the ability to manage time effectively while collaborating with cross-functional teams asynchronously.

→

Hands-on experience with data visualization tools such as Tableau and Power BI, showcasing the ability to create compelling visual narratives that drive marketing insights and strategies.

Learning Resources

→Python for Data Analysisbook
→Data Visualization with Tableaucourse
→Machine Learning with Pythoncourse

Career Path

Data Scientist - Marketing Analytics (Mobile)(Now)→Senior Data Scientist - Marketing Analytics(2-4 years)→Lead Data Scientist / Analytics Manager(4-6 years)

Market Overview

Market Size 2024
$24.5B
Annual Growth
27.5%
AI Adoption
65%
Investment
+45%
Labour Demand
+30%
Avg Salary
$115K

Skills & Requirements

Required
PythonRData Visualization
Growing in Demand
Deep LearningNatural Language Processing (NLP)Big Data Technologies (e.g., Apache Spark)
Declining
SASSPSS

Domain Trends

Increased Focus on Predictive Analytics
Organizations are investing heavily in predictive analytics, with 70% of companies reporting plans to increase their budgets for analytics tools in 2024.
Integration of AI in Marketing Analytics
AI tools are projected to enhance marketing analytics capabilities, with 60% of marketing teams using AI-driven insights to optimize campaigns.
Rise of Real-Time Data Processing
Real-time data processing is becoming a standard, with 55% of data scientists stating that real-time analytics significantly improves decision-making in marketing.

Industry News

Loading latest industry news...

Finding relevant articles from the last 6 months

All job postings are automatically gathered by algorithms. We do not review or verify listings, be careful when applying and do not sign-in with iCloud or Google services.