Braintrust05.03.26
AI SCORE 8.5

Senior Data Scientist - Remote Position at Braintrust

$140K–$180K/year

About the Role

We are seeking a highly motivated and experienced Senior Data Scientist to join our growing Ads Data Science team at Braintrust. This Senior Data Scientist remote position offers an exciting opportunity to leverage data to maximize advertiser value on Reddit through robust data foundations, metrics, and strategic insights generated through experimentation and cutting-edge data science methods. You will be part of a collaborative team that is constantly pushing the boundaries of what's possible with machine learning and statistical modeling.

What You'll Do

  • Design, develop, and apply data science solutions to inform improvements in advertiser experience and Reddit's ad platform performance.
  • Create data assets, such as new tables and self-serve dashboards, to enable partners to answer their own data questions.
  • Analyze large-scale datasets to identify trends, patterns, and insights that can improve the effectiveness of our advertising platform.
  • Collaborate with product managers and engineers to define product requirements and translate them into data science solutions.
  • Uncover strategic insights and share them with stakeholders to shape future product directions.
  • Develop machine learning models and data science methods to improve anomaly detection, prediction, and pattern recognition.
  • Communicate findings and recommendations to stakeholders across the organization.

Requirements

  • MS or PhD in Computer Science, Statistics, Mathematics, or a related field.
  • 5+ years of experience in data science, machine learning, or a related field.
  • Strong understanding of statistical modeling, machine learning algorithms, causal inference, and experimental design.
  • Experience with large-scale data processing and analysis using tools such as Spark, Hadoop, or Hive; knowledge of BigQuery is a plus.
  • Proficiency in SQL and relational databases.
  • Experience with Python or R and machine learning libraries such as scikit-learn, TensorFlow, or PyTorch.

Nice to Have

  • Experience with online advertising and ad tech.
  • Experience with causal inference and A/B testing.

What We Offer

  • Competitive salary ranging from $140,000 to $180,000 annually.
  • Fully remote work environment.
  • Collaborative and innovative team culture.
  • Opportunities for professional growth and development.
  • Engaging projects that have a significant impact on the advertising landscape.
Why This Job8.5 of 10

This Senior Data Scientist role at Braintrust offers a unique opportunity to work remotely while driving impactful insights in the advertising sector. With a competitive salary and a collaborative team environment, this position stands out in the data science field.

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 modeling, with experience in frameworks like TensorFlow and PyTorch for developing machine learning models.

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

Deep understanding of big data technologies such as Apache Spark and Hadoop, with a proven ability to analyze large datasets and extract actionable insights to drive strategic decisions.

Learning Resources

Python for Data Science Handbookguide

Career Path

Senior Data Scientist(Now)Lead Data Scientist/Analytics Manager(1-2 years)Director of Data Science(3-5 years)

Market Overview

Python Market Size 2024
$30B
Annual Growth
12.5%
AI Adoption in Data Science
85%
Investment in Data Science Tools
+45%
Labour Demand for Data Scientists
+22%
Avg Salary for Senior Data Scientists
$135K

Skills & Requirements

Required
PythonRSQL
Growing in Demand
Deep LearningBig Data AnalyticsCloud Computing (AWS, Azure)
Declining
SASMATLAB

Domain Trends

Increased Focus on Ethical AI
As organizations adopt AI technologies, 78% are prioritizing ethical considerations in their data science projects.
Demand for Real-Time Data Processing
With the rise of IoT, 65% of data science teams are implementing real-time analytics capabilities to enhance decision-making.
Integration of Automated Machine Learning (AutoML)
Around 52% of companies are investing in AutoML solutions to streamline model development and reduce time to deployment.

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