Performance marketing and technology (SaaS) company for mid to large mobile apps
Data Scientist - User Acquisition$100k – $160k • 0.125% – 0.25%
What You'll Do:
Bring great mobile games to millions of passionate gamers around the world.
Work closely with User Acquisition, Product, and Creative teams to manage and scale our client’s ad campaigns on Facebook, Google and other networks.
Lead on building reporting dashboards and predictive modeling tools that will enable us to profitably scale apps to new heights by optimizing creatives, targeting, bids, and budgets.
Continually test new campaigns and creatives to drive optimal results.
Collaborate with artists, game designers, engineers, and data analysts.
Drive A/B testing and creative optimization, sharing your findings with our own team and our partner developers.
2+ years experience as an analyst in marketing, consulting, product management or similar roles.
History of using data insights to drive decision making and growth strategy.
Experience visualizing results and presenting to internal/external clients.
Familiarity with programmatically extracting and refining large amounts of raw data.
Bachelor degree or equivalent in math, statistics, computer science, business, economics or other quantitative field preferred.
Strong knowledge and proven abilities with the SQL.
2+ years of experience building reports with Tableau or any other similar tools.
Experience with Excel is a must.
Experience in at least one analytical package like R or Python.
Working understanding of statistics.
Passion for gaming and games industry.
Experience working in cross team environments from around the globe.
Able to explain technical concepts to a non-technical audience.
Familiarity with terms and concepts around paid advertising and other marketing strategies.
Familiarity with User Acquisition or general Performance Marketing
Experienced with forecasting and modeling for marketing.
Upptic at a glance
Upptic focuses on Performance Marketing, Mobile Games, FreetoPlay Gaming, and B2B · SaaS · Mobile · Artificial Intelligence / Machine Learning. Their company has offices in Austin, Seattle, and Oakland. They have a small team that's between 1-10 employees.