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Data Scientist

Job Location:

Seattle, WA - USA

Monthly Salary: Not provided by the employer

Posted: 30 September 2026 (10 hours ago)

Application Deadline: 28 December 2026

Vacancies: 1 Vacancy

V2Soft is a global leader in IT services and business solutions delivering innovative and cost-effective technology solutions worldwide since 1998. We have We have headquartered in Bloomfield Hills MI and have 16 offices spread across six countries. We partner with Fortune 500 companies to address complex business challenges. Our services span AI IT staffing cloud computing engineering mobility testing and more. Certified with CMMI Level 3 and ISO standards V2Soft is committed to quality and security. Beyond our work we actively support local communities and non-profits reflecting our core values. Join us to be part of a dynamic and impactful global company!

Please visit us at to know more.
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.

PhD or Masters 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

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

Required Experience:

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