1693 Senior Data Scientist
Duties:
The Community you will join:
MarTech Data Science Measurement empowers the company to optimize marketing ROI by generating data-driven recommendations.
We lead the way in defining and advancing best practices for measuring and optimizing marketing impact.
We collaborate with Marketing, Finance, and Engineering to provide actionable recommendations and tools based on effective, timely, and granular measurements.
Our team’s tenets are:
Actionable: Deliver insights that drive confident business decisions.
Impactful: Prioritize projects based on their expected value to the company.
Balanced: Adapt methods to business questions and data realities, acknowledging limitations.
Rigorous: Maintain methodological integrity and quantify the sensitivity of findings.
Innovative: Invest in advancing measurement science and developing new methods.
Influential: Share learnings across the company and the broader data science community.
The difference you will make:
We are seeking an experienced Data Scientist with deep expertise and experience in 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.
Productionalizing Prototypes: Refine prototypes built by other scientists and prepare them to be productionalized within the company’s systems.
Causal Inference: Apply and develop causal inference methods, especially around MMM, to estimate the effectiveness of the company’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.
Skills:
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.
Education:
Minimum: BS/BA in CS or related field (or self-taught/ equivalent work experience). Preferred: MS/MA in CS or related field.
The hiring range for this position is $112 to $121 per hour. The base pay actually offered will take into account internal equity, and may also vary depending on candidate’s geographic region, job-related knowledge, skills, and experience amongst other factors.
Harvest Technical Services is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or any other federal, state, or local protected class.