Senior Associate, Data Science

Responsibilities

• 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

• 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

• 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

Hybrid work in office is an essential function of the job.

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.

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.