AdTechTalent
Data Science2 months agoOn-site

Moloco

Data Scientist II, Product Analytics

data sciencemachine learningadspythonrsqlpandasstatistical analysisexperimental designhypothesis testingregressionproduct analyticsbidding systemcampaign performance

Key details

Salary

$131K – $182K

Employment type

Full-time

Seniority

Mid-level

Years experience

3-5

Location

Menlo Park, United States

Full job description

Moloco is hiring a Data Scientist II to join the Product Analytics Data Science team working closely with R&D on the core Ads product. The role involves conducting deep-dive analyses on large datasets to influence product decisions and strategies, building metrics to measure campaign health, and evaluating ads system health. Candidates must have strong problem-solving skills, experience owning complex projects end-to-end, excellent communication skills, and expertise in statistics and programming (Python, R, SQL, Pandas, Dplyr). A minimum of 3 years of relevant experience or an advanced degree with 4+ years experience in a quantitative discipline is required. The position is full-time and on-site in Menlo Park, California. The salary range is $131,000 to $182,000 USD with a competitive benefits package.

What you'll do

  • Conduct deep-dive analysis to influence R&D decisions and strategies
  • Analyze large datasets with queries and scripts to extract valuable signals and produce actionable insights
  • Build the right metrics to measure campaign health and improve campaign performance monitoring
  • Understand cause-and-effect relationships across drivers
  • Evaluate ads system health by diagnosing issues through input/output metrics of each component

Requirements

  • Distinctive problem-solving skills
  • Ability to articulate product questions
  • Experience pulling data from large datasets and using statistics to arrive at recommendations
  • Ability to manage multiple projects simultaneously
  • Proven ability to own complex projects end-to-end
  • Attention to detail to translate analysis results into business recommendations
  • Provide strategic thought partnership to cross-functional teams
  • Leverage data-driven insights to influence and guide product decisions, roadmap prioritization, and business strategy
  • Excellent verbal and written communication skills
  • Strong knowledge and experience in experimental design, hypothesis testing, and statistical analysis techniques such as regression or linear models
  • Experience with programming in Python, R or other scripting languages
  • Experience with database languages (e.g. SQL) or data manipulation tools (e.g. Pandas, Dplyr)
  • Ability to build positive relationships within the data science team and with product management and engineering stakeholders
  • 3+ years of work experience in data science related fields or advanced degree with 4+ years experience
  • Bachelor’s, Master’s and/or PhD in a quantitative discipline (e.g. Statistics, Operations Research, Bioinformatics, Economics, Computational Biology, Computer Science, Mathematics, Physics, Electrical Engineering, Industrial Engineering)

Tech stack

PythonRSQLPandasDplyr

Benefits

Competitive benefits packageInnovative benefits that empower employees to take care of themselves and their familiesInclusive and supportive work environment

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