Masscomcorp is seeking an experienced ML Engineer with a strong background in User Acquisition (UA) for Mobile Gaming and AdTech. The ideal candidate will leverage data-driven insights to optimize user acquisition strategies, enhance campaign performance, and maximize return on investment (ROI). You should have hands-on experience in Python, SQL, and statistical modelling, along with a deep understanding of marketing analytics, attribution modelling, and programmatic advertising.

Here’s a quick breakdown of the key responsibilities and skills for this role:

Key Responsibilities:

Analyze large datasets from multiple sources (e.g., mobile games, ad networks, MMPs) to drive UA strategy and improve campaign effectiveness.
Develop predictive models and A/B testing frameworks to optimize ad spend, bidding strategies, and targeting.
Implement LTV (Lifetime Value) models, and cohort analysis to inform marketing decisions.
Work closely with marketing, UA, product, and engineering teams to translate business questions into analytical solutions.
Use SQL to extract and manipulate data from databases and create dashboards to track key UA performance metrics.
Utilize Python for automation, machine learning, and data processing to improve efficiency in UA campaigns.
Collaborate with AdTech partners and MMPs (e.g., Appsflyer, Adjust) to ensure accurate attribution tracking and measurement.
Stay updated on industry trends in AdTech, gaming UA, and programmatic advertising to recommend new strategies.
Interact and collaborate with data engineers, Business stakeholders as and when required.

What to Expect:

This is an individual contributor role, focused on hands-on work.
The role involves close collaboration with data science and ML teams, as well as development of in-house systems.

Required Technical Skills:

At least 3+ years of experience in User Acquisition, AdTech, or Gaming analytics.
Hands-on experience with AdTech platforms, MMPs (Mobile Measurement Partners), and UA tools.
Demonstrate an a relevant project implementation in User Acquisition in Mobile Marketing/AdTech Space
Experience with marketing analytics, campaign performance optimization, and attribution modeling.
Familiarity with A/B testing methodologies, statistical significance, and causal inference techniques.
Ability to use statistics to understand behavior of systems and/or players.
Ability to communicate complex data insights to non-technical stakeholders.
Must be thorough and experienced with programming in Python and SQL.
Prior experience in Apache Spark with ML is a plus
Team player with excellent organizational, communication and interpersonal skills.

Why Masscom: