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Senior Data Scientist

3 months ago

Austin, United States Branch Metrics Full time

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 are seeking a Senior Data Scientist to empower our product and leadership teams with valuable insights derived from company data. The ideal candidate excels in leveraging large data sets to uncover opportunities for product and process optimization and uses advanced models to test the effectiveness of various strategies. You should have extensive experience in data mining, data analysis, model building, and algorithm development, along with a strong track record of driving business results through data-driven insights. Comfort in collaborating with a diverse range of stakeholders and functional teams is essential. A passion for discovering solutions within large data sets and improving business outcomes is key.
As a Senior Data Scientist, you'll get to:

  • Collaborate with Stakeholders: Work across the organization to identify opportunities for leveraging company data to drive business solutions.
  • Data Mining and Analysis: Extract and analyze data from company databases to optimize product development and business strategies.
  • Evaluate Data Sources: Assess the effectiveness and accuracy of new data sources and data collection techniques.
  • Develop Custom Models: Create and implement custom data models and algorithms for various data sets.
  • Predictive Modeling: Utilize predictive modeling to enhance customer experiences, revenue generation, ad targeting, and other business outcomes.
  • Monitor Performance: Develop tools and processes to monitor and analyze model performance and data accuracy.
You'll be a good fit if you have:
  • Experience: 4+ years of experience manipulating data sets and building statistical models.
  • Education: Degree in Statistics, Mathematics, Computer Science, or a related quantitative field.
  • Programming Skills: Proficiency in Python for running experiments, producing reports, and developing model prototypes.
  • Problem-Solving: Strong problem-solving skills with a focus on product development.
  • Statistical Analysis: Experience with statistical programming languages (Python, SQL, etc.) for data manipulation and insight generation.
  • Big Data Technologies: Familiarity with technologies such as Spark, Hadoop, Snowflake, Presto, and Druid.
  • Machine Learning Techniques: Knowledge of machine learning techniques (clustering, tree-based algorithms, ensembles, deep learning) and experience with frameworks like scikit-learn, pandas, xgboost, and lightgbm.
  • Statistical Concepts: Understanding of advanced statistical techniques (regression, distributions, statistical tests) and practical application experience.
  • Prototype Development: Ability to create and validate prototypes using structured data sets, providing strong evidence to support findings.
  • Business Acumen: Passion for discovering solutions in large data sets to enhance business outcomes.
  • Startup Experience: Experience in a startup environment, working on small, fast-paced teams with immediate impact.
  • Optimization Techniques: Experience with A/B testing and advanced optimization techniques like Multi-Armed Bandits.
  • Anomaly Detection: Expertise in anomaly detection on time series data.
  • ML Engineering: Strong skills in deploying models to production, familiarity with Docker and AWS Sagemaker.
  • Reproducible Code: Ability to produce highly reproducible data science code, even for R&D or analysis tasks.
  • AWS Experience: Familiarity with AWS S3 and Sagemaker.

This role does not qualify for US visa support.

This role will be based at our Austin office and follows a Hybrid schedule that will be aligned with our Return to Office guidelines. Branch is not open to supporting relocation at this time.

A little bit about us:

Branch is the linking and measurement partner 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 Palo Alto, CA. World-class brands like Instacart, Western Union, NBCUniversal, Zocdoc and Sephora acquire users, retain customers and drive more conversions with Branch.

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

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.