Data Scientist

V2Soft

$100K — $140K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • PhD or Master's degree with 4+ years in CS, CE, ML, Statistics, or Economics.
  • 3+ years of experience in machine learning models or algorithms for business.
  • Proficiency with causal inference methods like A/B testing and synthetic controls.
  • Familiarity with cloud computing tools (AWS S3, SageMaker, EMR, EC2).
  • Programming skills in Python, R, or similar languages.

Responsibilities

  • Develop and enhance Marketing Mix Models to assess channel effectiveness and optimize budgets.
  • Build and refine Customer Lifetime Value models for better targeting and retention strategies.
  • Design, execute, and analyze A/B tests and quasi-experiments to measure marketing campaign impacts.
  • Collaborate with marketing teams to convert insights into actionable targeting and creative recommendations.
  • Coordinate with data scientists and machine learning engineers to implement measurement solutions.

Benefits

  • Opportunity to work on impactful data-driven marketing projects.
  • Collaborative environment with cross-functional teams.
  • Exposure to advanced machine learning techniques in real-world applications.
Full Job Description
Only W2, No C2C - Onsite - Only Locals

Job Description:


We are seeking a Data Scientist with a strong background in marketing measurement, causal inference, and experimentation who has deep passion for building data-driven products, ability to formulate data insights and scientific vision, and a proven track record of executing complex projects and delivering business impact.

Key Job Responsibilities:
  • Marketing Measurement: Develop and enhance Marketing Mix Models (MMM) to measure channel effectiveness, optimize budget allocation, and quantify ROI across marketing investments.
  • Customer Lifetime Value (CLV): Build and refine CLV models to inform acquisition targeting, retention strategies, and customer segment prioritization.
  • Causal Inference & Experimentation: Design, execute, and analyze A/B tests and quasi-experiments (e.g., geo holdouts, difference-in-differences, synthetic controls) to measure incremental lift of marketing campaigns.
  • Campaign Optimization: Partner with marketing teams to translate measurement insights into actionable recommendations for targeting, creative, and channel mix.
  • Cross-functional Collaboration: Work with data scientists, machine learning engineers, and business stakeholders to deliver measurement solutions to production.
Basic Qualifications:
  • PhD, or Master's degree and 4+ years of experience in CS, CE, ML, Statistics, Economics, or related field
  • 3+ years of experience building machine learning models or developing algorithms for business application
  • Experience with causal inference methods (e.g., A/B testing, difference-in-differences, instrumental variables, propensity scoring, synthetic controls)
  • Familiarity with cloud computation (e.g., AWS tools such as S3, SageMaker, EMR, or EC2)
  • Experience programming in Python, R, or related language
Preferred Qualifications:
  • PhD in Statistics, Economics, Computer Science, Machine Learning, Operations Research, or equivalent quantitative field
  • 5+ years of experience building marketing measurement models (MMM, CLV, multi-touch attribution)
  • Experience designing and analyzing A/B tests and geo experiments at scale
  • Experience in patents or publications at top-tier peer-reviewed conferences or journals (e.g., KDD, ICML, NeurIPS, QME, Marketing Science)
  • Excellent oral and written communication skills, with the ability to communicate complex technical concepts to all levels of the organization


https://www.v2soft.com/careers - to view all of our open opportunities and to learn more about our benefits.

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