Giraffe Media is hiring a Data Scientist who has ownership to utilize data collected through analytical, statistical, and other means, in developing solutions tailored to meet and drive the organization’s unique needs. The Data Scientist interprets raw data with the sole purpose of defining patterns and identifying solutions that help the organization grow and compete.

Come work with an industry leader who is seeking experienced and outstanding people to join our team as we continue to set the standards!

About Us

We provide global performance marketing solutions to top-tier brands. Giraffe Media Group, LLC is an essential division in a family of technology and advertising companies that have been in business for over 15 years. During that time, we have become industry leaders in a space we helped create. Our team significantly increased in 2022 and continues on track for fast and sustainable growth.

With our top-notch employees residing mainly in the US (but also in other countries), we prioritize team building through a collaborative work environment. Our culture is focused on smarts, continued learning, and working together to meet individual and company goals. We hire those who strive to be the best and provide them with exceptional benefits to improve their lives, including a competitive salary, medical, dental, and vision coverage, 401K with matching contributions, paid time off, employee referral bonuses, and perks like a fully stocked break room with complimentary snacks and coffee, as well as frequent company and team outings.

Come join the team that drives, supports, and empowers its members to accomplish higher career goals and live a better life.

Essential Functions:

The Data Scientist will have several key responsibilities in the fulfillment of their duties including:

• Analyze complex datasets using advanced statistical methods and tools, such as Python, Grafana, and others to derive actionable insights, develop smart business solutions and drive business recommendations.
• Develop and maintain interactive dashboards and visualizations within analytic tools (Grafana) to effectively communicate data insights to business stakeholders.
• Create and define key performance indicators (KPIs) to measure the effectiveness of data-driven initiatives.
• Continuously learn and stay updated on industry trends, best practices, and emerging technologies in the data engineering and analytics space.
• Utilize Python and SQL for data extraction, transformation, and loading (extract, transform, load -ETL) processes.
• Perform data validation and enrichment to ensure accuracy and consistency.
• Create and maintain data models and metadata documentation.
• Partner with stakeholders across business units (ex: sales, finance, security, compliance) to develop analyses and documentation in a collaborative way, communicating effectively and efficiently with production, managerial, and executive teams.
• Utilization of business sense and communication skills to influence how the organization tackles and resolves business challenges.

Experience and Qualifications:

The successful Data Scientist should have core experience and skills in computer science: data structures, algorithms, relational databases, and model design including experience in several coding languages:

• Considerable experience in open-source data mining, machine-learning, and operations research including regressions and classification models.
• Good knowledge of Python and SQL (accessing databases).
• Strong math, analytical and critical thinking skills, with business acumen.
• Persuasive communication and presentation skills.
• Working experience with cloud computing services such as AWS, Google Analytics, Redshift or Google Cloud Platform.
• Familiarity with version control tools, such as Git and GitHub required.
• When evaluating the candidate, special attention will be paid to the following competencies:
  • Intellectual Curiosity and Critical Thinking, necessary to analyze a problem from multiple perspectives and examine the interrelationships between data that may appear superficially unrelated.
  • Autonomous, to own projects end-to-end; ability to work on the entire stack without being dependent on other team members.
  • Focus, to design and evaluate a technique over specific time periods, find it doesn’t work, learn from the failure, and try again.
  • Attention to Detail, in order to maintain rigor and to detect and avoid over-reliance on intuition when examining data.
  • Clear and concise written and oral communication, in order to communicate complex quantitative analysis in a clear and precise manner.
  • People skills necessary to build good working relationships and work as part of a team.

Education and Training

Data Scientists typically need a Bachelor’s Degree in Computer Science, Mathematics, or Statistics, plus 3-5 years’ previous work experience as a Data Scientist.

Giraffe Media Group is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.

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