Senior Associate, Data Science; Mercier

Position: Senior Associate, Data Science (Mercier)
We’re currently seeking a Senior Associate, Data Science to join our rapidly growing data science and analytics team — one that has a passion for working with real‑world data to derive actionable insights. Successful candidates for the role will work with clients and internal stakeholders to define, prototype, and produce custom solutions using state‑of‑the‑art big data platforms, analytics, and machine learning.

The ideal candidate will have a background in a quantitative field and have experience with large datasets, the Amazon Web Services ecosystem, statistical analysis, and client‑facing activities. They will be enthusiastic about solving business problems with a results‑oriented mindset.
What you’ll do   Work on research‑based initiatives using advanced machine learning methods focusing on tangible outcomes for our clients
Implement machine learning models and data‑driven solutions to drive growth and decision making for our clients
Prepare and integrate various types of data (structured/non‑structured) for modeling and analyses
Define, build, and present statistical and machine learning solutions for a wide range of industries
Conduct various analyses, such as deriving business insights from market research surveys, customer segmentation, and social media analysis
Build prototypes, proof of concepts, or APIs to showcase the models
Research and learn new methods, tools, and technologies presented in research communities to implement, experiment, and adapt within data science initiatives
Who you are   3 – 5 years of experience with machine learning algorithms and their application
At least 3 years of experience in data pipelining, preprocessing, modeling, and analysis
Fluent in SQL and Python
Strong grasp of statistics

Experience with one or more of the following databases:
PostgreSQL, AWS Redshift, Google Big Query, Snowflake, SQL Server, and MySQL
Strong influencing skills to ensure clients and internal stakeholders adopt the optimal data science and analytics solutions
Nice to have   Experience in consulting and/or advertising industry is preferred

Experience with implementing machine learning solutions in a production environment
Comfortable with presenting in front of clients and internal stakeholders

Experience with interactive visualization of data in Shiny, D3, or Dash
Familiarity with the AWS and GCP ecosystems
Some familiarity with media measurement techniques
Compensation  To comply with equal pay and salary transparency laws in various locations, we believe the target compensation for this role is $115,000 to $130,000 per year. Actual compensation is influenced by a wide array of factors including but not limited to skill set, qualifications, job performance, level of experience, location, and business needs.
Hybrid work in office is an essential function of the job.
GALE 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.

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