Job Title: Sr. Data Scientist 12+ Needed || Location: San Francisco, CA(Onsite)

Job Title: Sr. Data Scientist 12+ Needed

Location: San Francisco, CA(Onsite)

Visa : NO OPT CPT H1B

Projected Start Date04-01-2025

Projected End Date03-06-2026

Job Description

Our client is looking for a Sr. Data Scientist with experience with Apache for a year long contract in San Francisco, CA

The difference you will make:

We are seeking an experienced Data Scientist with deep expertise and experience building data pipelines and automating measurement systems. The ideal candidate will have experience working with Apache Airflow and Spark, as well as a comprehensive understanding of SQL. They are expected to be fluent in multiple statistical programming languages, particularly R and Python. They should also be familiar with causal inference methodologies, including experimental and observational approaches. The ideal candidate will be capable of hands-on data work to produce insights and recommendations for stakeholders, driving impactful decisions in our marketing efforts.

A typical day:

Data Pipelines: 

Build novel data pipelines that accelerate the work of our data science team, including automating data validation, unit testing, and other common processes.

Productional zing Prototypes:

Refine prototypes built by other scientists and prepare them to  be productional zed within Airbnb’s systems.

Causal Inference: 

Apply and develop causal inference methods, especially around MMM, to estimate the effectiveness of Airbnb’s marketing initiatives.

Data Analysis: 

Conduct data pulls, analyze trends, and create new features to support measurement efforts.

Collaboration: Work effectively with cross-functional teams, providing insights that optimize marketing strategies.

Your expertise:

PhD in Economics, Statistics, Marketing, or a related field, or a Masters Degree in a similar field with 2+ years of experience.

Deep knowledge of data management tools, systems, and processes, including Apache Airflow and Spark.

Proficiency in statistical programming (Python and R) and database usage (SQL).

Experience with media mix modeling (MMM).

Ability to communicate complex concepts clearly to stakeholders at varying technical levels.

Proven track record of solving business problems through data science methods.

Preferred expertise:

Passion for marketing and consumer science, with a desire to stay informed about the latest advances in the field.

Familiarity with Bayesian modeling and its applications in marketing.

Experience with causal ML modeling.

Experience in developing end-to-end models for data-driven decision-making.