Senior Data Scientist, US

Austin, Texas, United States

Branch

Branch offers a powerful Mobile Attribution Platform, advanced mobile app analytics, & seamless deep link solutions to optimize app growth and user engagement.

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At Branch, we’re transforming how brands and users interact across digital platforms. Our mobile marketing and deep linking solutions are trusted to deliver seamless experiences that increase ROI, decrease wasted spend, and eliminate siloed attribution. Our Branch team consists of smart, humble, and collaborative people who value ownership over all. Everything we do is centered around creating a great product, team, and company that lives and breathes our motto: Build Together, Grow Together, Win Together.

We're seeking a Senior Data Scientist to provide strategic insights using advanced analytics, predictive modeling, and data-driven solutions. This role requires strong technical skills beyond traditional data science, including delivering production-ready code and collaborating closely with engineering teams. Domain experience in Ad Tech, fraud detection, anomaly detection, or causal AI are highly desirable.

As a Senior Data Scientist, you’ll get to:

  • Collaborate with stakeholders to identify data-driven business opportunities.
  • Perform data mining, analytics, and predictive modeling to optimize business outcomes.
  • Conduct extensive research and evaluate innovative approaches for new product initiatives.
  • Develop, deploy, and monitor custom models and algorithms.
  • Deliver end-to-end production-ready solutions through close collaboration with engineering and product teams.
  • Identify opportunities to measure and monitor key performance metrics, assessing the effectiveness of existing ML-based products.
  • Serve as a cross-functional advisor, proposing innovative solutions and guiding product and engineering teams toward the best approaches.
  • Anticipate and clearly articulate potential risks in ML-driven products.
  • Effectively integrate solutions into existing engineering infrastructure.

You’ll be a good fit if you have:

  • 4+ years of relevant experience in data science, analytics, or related fields.
  • Degree in Statistics, Mathematics, Computer Science, or related field.
  • Proficiency with Python, SQL, Spark, Bazel, CLI (Bash/Zsh).
  • Expertise in Spark, Presto, Airflow, Docker, Kafka, Jupyter.
  • Strong knowledge of ML frameworks (scikit-learn, pandas, xgboost, lightgbm).
  • Experience deploying models to production on AWS infrastructure and experience with the basic AWS services.
  • Advanced statistical knowledge (regression, A/B testing, Multi-Armed Bandits, time-series anomaly detection).
  • Proven ability to deliver reproducible, production-quality code.

Nice to Have: 

  • Domain expertise in Ad Tech, Fraud Detection, Anomaly Detection, or Causal AI (strongly preferred).
  • Startup experience and ability to work in a fast pace self-starter environment (strongly preferred).
  • Experience with implementing GenAI driven applications, Agentic Applications, RAG, prompt engineering.
  • Experience with technologies like Lang Chain, Lang Graph, LamaIndex etc.

This role will be based at our Austin, TX office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. However, we are also open to full-time remote candidates in select locations such as Texas & Denver, CO. This role does not qualify for relocation or visa sponsorship.

In accordance with applicable law, the following represents a reasonable estimated compensation range for this role: the estimated pay range for this role, if based in Austin, TX, is $148,000 to $189,000

Please note that this information is provided for those hired in Austin, TX only. Compensation for candidates outside of Austin, TX will be based on the candidate’s specific work location. Actual compensation will be determined based on skills, experience, and geographic location and may be more or less than the amount shown above.

The salary range provided represents base compensation and does not include potential equity, which is available for qualifying positions. At Branch, we are committed to the well-being of our team by offering a comprehensive benefits package. From health and wellness programs to paid time off and retirement planning options, we provide a range of benefits for qualified employees. For detailed information on the benefits specific to your position, please consult with your recruiter.

Branch is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

If you think you'd be a good fit for this role, we'd love for you to apply! At Branch, we strive to create an inclusive culture that encourages people from all walks of life to bring their unique, diverse perspectives to work. We aim every day to build an environment that empowers us all to do the best work of our careers, and we can't wait to show you what we have to offer!

A little bit about us: 

Branch is the leading provider of engagement and performance mobile SaaS solutions for growth-focused teams, trusted to maximize the value of their evolving digital strategies. The Branch platform provides a seamless experience across paid and organic, on all channels and platforms, online and offline, to eliminate friction and drive valuable action at the moments of highest intent. With Branch, businesses gain accurate mobile measurement and insights into user interactions, enabling them to drive conversions, engagement, and more intelligent marketing spend.

Branch is an award-winning employer headquartered in Mountain View, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch.

Candidate Privacy Information:
For more information on the data that Branch will collect through your application, and how we use, share, delete, and retain that information as part of our recruitment and employment efforts, please see our HR Privacy Policy.

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Category: Data Science Jobs

Tags: A/B testing Airflow AWS Bazel Computer Science Data Mining Docker Engineering Generative AI Jupyter Kafka LightGBM Machine Learning Mathematics Pandas Predictive modeling Privacy Prompt engineering Python RAG Research Scikit-learn Spark SQL Statistics Testing XGBoost

Perks/benefits: Equity / stock options Health care Relocation support Startup environment Wellness

Region: North America
Country: United States

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