What are the responsibilities and job description for the Data Scientist & Experimentation Specialist (ML-Driven Pricing) position at Vertex Global Solutions Inc?
120-$180 per hour San Jose, CA Fully Remote W2 Contract 4 years of experience Contingent Duration : 9 Months Work Model : Remote Interview Mode : Video Visa Sponsorship Eligibility : NO Relocation Assistance Available : Strictly NO Travel Required : Strictly NO
Job Summary : The client is seeking a Data Scientist & Experimentation Analyst to play a critical role in supporting the development and evaluation of ML-driven pricing and personalization solutions. This role provides data-driven insights and rigorous experimentation, enabling end-to-end support for machine learning initiatives. The ideal candidate will excel in statistical analysis, experiment design, and data science workflows while supporting ML Scientists in building robust models and analyzing their performance.
Qualifications :
- 4 years in data science, experimentation analysis, or a related role supporting ML projects and experimentation.
- Strong understanding of statistical methods, experiment design, and causal inference techniques.
- Proficiency in Python for data manipulation & machine learning (Pandas, NumPy, sci-kit-learn).
- Intermediate skills in SQL for data querying, including Window Functions, Joins, and Group By.
- Familiarity with classical ML techniques like Classification, Regression, and Clustering, using algorithms like XGBoost, Random Forest, and KMeans.
- Experience with data visualization platforms (e.g., Tableau, Power BI, Matplotlib, or Seaborn).
- Proficiency in designing and analyzing A / B and multivariate experiments, focusing on drawing actionable insights.
- Experience working with large, complex datasets, including preprocessing, feature engineering, and encoding techniques.
Key Responsibilities :
How to Apply : Qualified candidates are encouraged to submit their resume, highlighting relevant qualifications, skills, and experience pertaining to the job positions they are applying for. It is important to ensure that your current location (City, State / Province, and Zip Code) is clearly listed at the top of your resume or updated in the ATS (applicant tracking system) by signing up. A cover letter is appreciated but not required.
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Salary : $120 - $180
