Senior Associate, Data Science - Hill

Position: Senior Associate, Data Science - GALE Hill)
Impact  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 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. They will be enthusiastic about solving business problems with a results‑oriented mindset and will have the opportunity to work across varying data sets with a variety of clients.
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 modelling 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, modelling, 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.
Robust 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. For more information on other benefits we offer, please visit https://(Use the "Apply for this Job" box below)./careers
AI Disclosure  As part of our recruitment process, we may use technology‑assisted tools, including automated systems, to support the review and assessment of applications. These tools do not make the final decisions. All decisions related to screening, interviewing, and selection are made by our Talent Acquisition and hiring teams.
Hybrid Work  Hybrid work in office is an essential function of the job.
Equal Employment Opportunity  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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