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Data Analyst/Scientist

Remote: 
Full Remote
Work from: 
Ukraine

Offer summary

Qualifications:

Strong analytical skills, Experience in data analysis and modeling, Proficiency in programming languages like Python or R, Bachelor's degree in a related field.

Key responsabilities:

  • Analyze data to identify trends
  • Develop algorithms for CPA optimization
  • Build predictive models
  • Create dashboards for KPI tracking
MGID logo
MGID SME
501 - 1000 Employees
About MGID
Santa Monica-based MGID is one of the first native performance advertising platforms worldwide. Our platform serves thousands of publishers w/billions of news stories, all while delivering marketing solutions for advertisers that key into consumer interests without disrupting their online experience. MGID’s performance-driven approach ensures relevant, engaged and genuinely interested visitors to its customers’ websites, increasing traffic and revenue by maintaining the quality and relevance online users expect. Established in 2007, MGID has provided quality content distribution to lifestyle and entertainment publishers globally.
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Job description

Join MGID as a Data Analyst/Scientist and become part of a team shaping the future of AdTech!
If you thrive on analyzing data, uncovering hidden patterns, and transforming insights into powerful solutions, this is your chance. We develop cutting-edge algorithms that drive the success of CPA (Cost Per Action) campaigns by achieving target metrics, increasing conversion volume, and maximizing budget efficiency. If you're ready to extract the maximum value from data and make a real impact on product development — we’re waiting for you!

What You Will Do:

  • Data Analysis: Explore data to identify trends, evaluate campaign performance, and support decision-making.

  • Algorithm Development: Design, implement, and optimize algorithms for CPA optimization.

  • Modeling and Optimization: Build and refine predictive models to improve decisions for CPA campaigns, ensuring alignment with business objectives.

  • Stakeholder Collaboration: Work closely with product/business teams to translate technical solutions into measurable business impact.

  • Experimentation and Validation: Conduct and evaluate A/B tests to assess the impact of algorithm changes.

  • Visualization and Reporting: Create dashboards and visualizations to track key performance indicators (KPIs) and communicate findings to stakeholders.

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.
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