Data Scientist Experimentation Analyst
Data Scientist Experimentation Analyst
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
Title: Data Scientist & Experimentation Analyst
Job SummaryeDataforce Client is seeking a Data Scientist & Experimentation Analyst to play a critical role in developing and evaluating MLdriven pricing and personalization solutions. The role involves providing datadriven insights and rigorous experimentation to support machine learning initiatives. The ideal candidate will have expertise in statistical analysis experiment design and data science workflows while collaborating closely with ML Scientists to build robust models and analyze performance.
Looking for a STUD Candidate Someone technically strong in ML data science and experimentation
A candidate who can own A/B testing and experimentation frameworks
A problemsolver who works with engineers scientists and product teams
Someone datadriven analytical and impactfocused
I need a true expert who can experiment analyze and drive MLpowered pricing and personalization solutions forwardnot just a data scientist but a real strategic thinker!
Qualifications4 years of experience 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 and machine learning (Pandas NumPy scikitlearn).
Intermediate proficiency in SQL including Window Functions Joins and Group By queries.
Familiarity with classical ML techniques such as Classification Regression and Clustering using algorithms like XGBoost Random Forest and KMeans.
Experience with data visualization platforms (e.g. Tableau Power BI Matplotlib Seaborn).
Expertise in designing and analyzing A/B and multivariate experiments with a focus on actionable insights.
Experience working with large complex datasets including preprocessing feature engineering and encoding techniques.
Key ResponsibilitiesExperiment Design & Analysis: Design execute and interpret controlled experiments (e.g. A/B tests multivariate tests) to evaluate the effectiveness of ML models and strategies.
Data Analysis & Insights: Conduct exploratory data analysis (EDA) hypothesis testing and statistical modeling to support ML and business objectives.
ML Model Support: Assist ML Scientists in preparing data engineering features and evaluating models for pricing and personalization solutions.
Reporting & Visualization: Create dashboards and visualizations to track key metrics experiment outcomes and model performance.
AdHoc Analysis: Perform deep dives on specific datasets or business questions to provide actionable insights and inform strategic decisions.
Collaboration: Partner with ML Scientists Data Engineers and Product Managers to align on experimentation goals and ensure successful implementation of ML solutions.
Preferred SkillsExperience in cloudbased data science platforms (AWS GCP or Azure).
Familiarity with business intelligence tools and experimentation platforms.
Strong problemsolving and analytical thinking skills.
Excellent communication and collaboration abilities.
This is a great opportunity for a skilled Data Scientist & Experimentation Analyst to work on impactful machine learningdriven solutions at McAfee. If you meet the qualifications and are excited to contribute to innovative data science projects we encourage you to apply!
Employment Type
Full Time
