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Data Scientist

3 months ago

Orlando, United States ONE Agency Full time

Data Scientist - Digital Customer Acquisition Agency (Orlando, FL)


About ONE Agency

ONE Agency (visit us at oneagency.com) is a performance based digital marketing agency specializing in helping companies hyperscale their digital customer acquisition results. Leveraging data is our secret sauce. We maintain our own proprietary pixel allowing for behavioral analysis and our own data cloud (MyONEdatacloud), an aggregation of 1st party behavioral and targeting data as well as licensed 3rd party data enabling robust lead profile data enrichment. ONE Agency is the largest digital agency in the Resort Vacation Ownership sector representing many of the world’s largest hospitality brands and is now rapidly expanding into other B2C verticals. 

We are a full service digital agency with an exceptional in-house team of senior creatives, media buyers, analysts, coders, developers, product engineers, strategists and business builders. We're a passionate team of performance marketing experts who leverage bleeding-edge data science and marketing strategies to help our clients achieve explosive growth.

In this fast-paced role designed for growth and upward opportunity, you'll play a pivotal role in unlocking the power of data to fuel our clients' success. As a Data Scientist, you'll be responsible for analyzing massive datasets, building sophisticated models, and providing actionable insights to optimize our client acquisition campaigns.


Responsibilities:

  • Design, develop, and implement machine learning models to segment and target audiences based on first and third-party data sources
  • Analyze audience patterns and identify key commonalities to inform marketing strategies
  • Develop and maintain data pipelines to ensure clean and accessible data for analysis
  • Leverage Google BigQuery, MySQL and other Databases to perform complex data analysis and reporting
  • Collaborate with marketing and business development teams to translate insights into actionable strategies
  • Stay current on the latest data science trends and technologies
  • Communicate complex data findings in a clear and concise manner


Expanded Responsibilities:

  • Data Acquisition & Wrangling:
  • Collaborate with marketing and engineering teams to acquire relevant data sets from various sources.
  • Clean, transform, and prepare large datasets for analysis using tools like Python (pandas) and SQL.
  • Ensure data quality and integrity to guarantee reliable results.
  • Artificial Intelligence (AI) Modeling & Analytics:
  • Predictive Analytics: Develop and implement statistical models and machine learning algorithms to predict customer behavior and optimize marketing campaign performance.
  • Analysis: Analyze customer acquisition data to identify trends, patterns, and opportunities for improvement.
  • Visualization: Leverage AI to visualize trends in collected data to help the agency campaign and customer trends to clients.
  • Anomaly detection: Apply AI and machine learning models to historical data to raise real-time alerts for unexpected scenarios, helping the agency improve productivity and reduce the time it takes to resolve issues. 
  • Testing: Collaborate with the Campaign Team to conduct A/B testing and other marketing experiments to measure the effectiveness of different strategies.
  • Insights & Communication:
  • Translate complex data analysis into clear and actionable insights that inform client acquisition strategies.
  • Create compelling data visualizations using tools like Tableau or Power BI to communicate findings to both technical and non-technical audiences.
  • Collaborate with marketing teams and executives to ensure data-driven decision making for new customer acquisition efforts.
  • Stay Ahead of the Curve:
  • Continuously learn new data science techniques and technologies to stay at the forefront of the ever-evolving field.
  • Actively participate in the data science community through conferences, workshops, or online resources.


Qualifications:

  • Master's degree in Statistics, Data Science, Computer Science, or related field (or Bachelor's degree with equivalent experience).
  • 3+ years of experience as a Data Scientist or similar role, preferably within the digital marketing or advertising industry.
  • Strong proficiency in statistical modeling and machine learning techniques (regression analysis, classification models, clustering).
  • Experience with data wrangling and manipulation tools like Python (pandas, NumPy) and SQL.
  • Excellent communication skills (written and verbal) to effectively present data insights to both technical and non-technical audiences.
  • Business acumen and understanding of how data science can be applied to optimize B2C marketing campaigns.
  • A passion for data-driven decision making and a collaborative spirit.
  • Strong work ethic with the ability to manage time effectively and prioritize tasks in a fast-paced environment.


Bonus points for:

  • Experience with big data technologies (Hadoop, Spark) or cloud platforms (AWS, Azure, GCP).
  • Experience with marketing automation platforms (Marketo, Hubspot, Pardot).

If you're a data-driven problem-solver with a passion for helping businesses grow, we want to hear from you Join our team and be a part of our mission to revolutionize B2C customer acquisition with the power of data science.