Talantix.io
Thumbtack•05.03.26
AI SCORE 8.5

Data Scientist II - Marketing Analytics Remote

$140K–$213K/year
RemoteB2B SaaS
Data Analysis•Machine Learning•Statistical Analysis•Python•R•Data Visualization•SQL

About the Role

Thumbtack is hiring a full-time Data Scientist II, Marketing to join our dynamic team. As a Data Scientist II remote, you will leverage data to drive marketing strategies and enhance customer engagement. This role offers the opportunity to work remotely from the USA, contributing to impactful projects that shape our marketing efforts.

What You'll Do

  • Analyze large datasets to extract actionable insights that inform marketing strategies.
  • Develop predictive models to optimize marketing campaigns and improve customer targeting.
  • Collaborate with cross-functional teams to align data-driven insights with business objectives.
  • Utilize statistical analysis and machine learning techniques to enhance marketing performance.
  • Present findings and recommendations to stakeholders, ensuring clarity and understanding.

Requirements

  • 2-5 years of experience as a Data Scientist, preferably in a marketing context.
  • Strong proficiency in statistical analysis and machine learning techniques.
  • Experience with data visualization tools (e.g., Tableau, Power BI).
  • Proficient in programming languages such as Python or R.
  • Excellent communication skills to convey complex data insights to non-technical stakeholders.

Nice to Have

  • Experience with A/B testing and experimentation frameworks.
  • Familiarity with SQL and database management.
  • Knowledge of digital marketing metrics and KPIs.

What We Offer

  • Competitive salary range of $140,300 - $213,400.
  • Flexible remote work environment with a focus on work-life balance.
  • Comprehensive health benefits and wellness programs.
  • Opportunities for professional development and continuous learning.
  • Collaborative team culture that values innovation and creativity.
Why This Job8.5 of 10

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

Salary Range
Required
0/1
Optional
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Bonus
0/1

Who Will Succeed Here

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Proficiency in Python and R for statistical analysis and machine learning, enabling the ability to build predictive models and perform complex data manipulations.

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Strong analytical mindset with experience in SQL for extracting and transforming data from relational databases, allowing for effective analysis of large datasets.

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Self-motivated and disciplined work ethic suited for remote work, with the ability to manage time effectively and deliver insights independently while collaborating asynchronously with team members.

Learning Resources

→Python for Data Analysisbook
→Machine Learning with Python: From Linear Models to Deep Learningcourse
→Introduction to Data Visualization with Pythonarticle

Career Path

Data Scientist II - Marketing Analytics(Now)→Senior Data Scientist - Marketing Analytics(2-4 years)→Lead Data Scientist or Data Science Manager(4-6 years)

Market Overview

Market Size 2024
$20.5B
Annual Growth
24.3%
AI Adoption in Marketing Analytics
78%
Investment in Data Analytics Solutions
+45%
Labour Demand for Data Scientists
+35%
Avg Salary for Data Scientist II
$115K

Skills & Requirements

Required
Data AnalysisMachine LearningStatistical Analysis
Growing in Demand
Deep LearningBig Data Technologies (e.g., Hadoop, Spark)Cloud Computing (e.g., AWS, Azure)
Declining
Excel for Data AnalysisTraditional BI Tools (e.g., Tableau without AI features)

Domain Trends

Increased Use of AI in Marketing
By 2025, 85% of marketing analytics will leverage AI technologies to enhance decision-making and personalization.
Integration of Big Data with Marketing Strategies
Over 60% of organizations are expected to integrate big data analytics into their marketing strategies by 2024.
Shift Towards Real-Time Data Analytics
Real-time analytics adoption is projected to grow by 30% in the next two years, as companies seek to make immediate data-driven decisions.

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