MarTech ML Engineer

Experience: 5+ Years (Experience in Data Science)

Employment type: Contract (20 hours per week)

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.