MDA Edge
Data Scientist & Experimentation Analyst
MDA Edge, San Jose, California, United States, 95199
1 month ago Be among the first 25 applicants
Get AI-powered advice on this job and more exclusive features.
This range is provided by MDA Edge. Your actual pay will be based on your skills and experience talk with your recruiter to learn more.
Base pay range
$120.00/hr - $180.00/hr Job Summary:
The client is seeking a Data Scientist & Experimentation Analyst to support the development and evaluation of ML-driven pricing and personalization solutions. This role involves providing data-driven insights and conducting rigorous experiments to support machine learning initiatives. The ideal candidate will excel in statistical analysis, experiment design, and data science workflows while supporting ML Scientists in building and analyzing models. Qualifications:
4+ years in data science, experimentation analysis, or a related role supporting ML projects. Strong understanding of statistical methods, experiment design, and causal inference techniques. Proficiency in Python (Pandas, NumPy, sci-kit-learn). Intermediate SQL skills, including Window Functions, Joins, and Group By. Experience with classical ML techniques like Classification, Regression, Clustering, using algorithms such as XGBoost, Random Forest, KMeans. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Proficiency in designing and analyzing A/B and multivariate experiments. Experience working with large datasets, including preprocessing and feature engineering. Key Responsibilities:
Experiment Design & Analysis:
Design, execute, and interpret experiments to evaluate ML models and strategies. Data Analysis & Insights:
Conduct exploratory data analysis, hypothesis testing, and statistical modeling. ML Model Support:
Assist ML Scientists with data preparation, feature engineering, and model evaluation. Reporting & Visualization:
Create dashboards and visualizations to monitor metrics and model performance. Ad-Hoc Analysis:
Perform deep dives and provide insights to inform strategic decisions. Collaboration:
Work with ML Scientists, Data Engineers, and Product Managers to align on goals. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at MDA Edge by 2x. Get notified about new Data Scientist jobs in
San Jose, CA . #J-18808-Ljbffr
$120.00/hr - $180.00/hr Job Summary:
The client is seeking a Data Scientist & Experimentation Analyst to support the development and evaluation of ML-driven pricing and personalization solutions. This role involves providing data-driven insights and conducting rigorous experiments to support machine learning initiatives. The ideal candidate will excel in statistical analysis, experiment design, and data science workflows while supporting ML Scientists in building and analyzing models. Qualifications:
4+ years in data science, experimentation analysis, or a related role supporting ML projects. Strong understanding of statistical methods, experiment design, and causal inference techniques. Proficiency in Python (Pandas, NumPy, sci-kit-learn). Intermediate SQL skills, including Window Functions, Joins, and Group By. Experience with classical ML techniques like Classification, Regression, Clustering, using algorithms such as XGBoost, Random Forest, KMeans. Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Proficiency in designing and analyzing A/B and multivariate experiments. Experience working with large datasets, including preprocessing and feature engineering. Key Responsibilities:
Experiment Design & Analysis:
Design, execute, and interpret experiments to evaluate ML models and strategies. Data Analysis & Insights:
Conduct exploratory data analysis, hypothesis testing, and statistical modeling. ML Model Support:
Assist ML Scientists with data preparation, feature engineering, and model evaluation. Reporting & Visualization:
Create dashboards and visualizations to monitor metrics and model performance. Ad-Hoc Analysis:
Perform deep dives and provide insights to inform strategic decisions. Collaboration:
Work with ML Scientists, Data Engineers, and Product Managers to align on goals. Seniority level
Mid-Senior level Employment type
Full-time Job function
Other Industries
IT Services and IT Consulting Referrals increase your chances of interviewing at MDA Edge by 2x. Get notified about new Data Scientist jobs in
San Jose, CA . #J-18808-Ljbffr