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Data Scientist & Experimentation Analyst

MDA Edge

Role overview

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 and machine learning (Pandas, NumPy, sci-kit-learn)
  • Intermediate skills in SQL for data querying, including Window Functions, Joins, and Group By

Responsibilities

  • Design, execute, and interpret controlled experiments (e.g., A/B tests, multivariate tests) to evaluate the effectiveness of ML models and strategies
  • Conduct exploratory data analysis (EDA), hypothesis testing, and statistical modelling to support ML and business objectives
  • Assist ML Scientists in preparing data, engineering features, and evaluating models for pricing and personalization solutions
  • Create dashboards and visualizations to track key metrics, experiment outcomes, and model performance

About the company

MDA Edge logo

MDA Edge

Business Consulting & Services

Our objective is to establish an exceptional ecosystem by connecting individuals, technology, and prospects through the application of human intelligence.MDA Edge is a process-oriented company and our expertise lies in providing comprehensive Workforce Solutions, specifically focusing on Contingent Staffing, Bulk/Project Staffing, RPO/KPO/BPO, and Direct Hire services. We cater to a wide range of industries, including Infrastructure Consulting, Engineering Consulting, IT Consulting, Healthcare, Life Sciences, Pharmaceutical Consulting, Consumer Goods, Education, Transportation & Logistics, Media & Entertainment, Telecom, BFSI, Manufacturing, Utilities & Energies, and Corporate Recruitment. Moreover, we have developed a dedicated focus on Government Consulting.Our company prides itself on a meticulous approach, ensuring that we meet your specific needs. We have established a robust network of highly skilled professionals who are readily available to fulfill your requirements. With a strong commitment to excellence, we consistently deliver exceptional results for clients in India, Denmark, France, Germany, Ireland, Japan, Spain, Thailand, the USA, Canada and Mexico, with ongoing expansion efforts to serve more new regions in the near future.We consistently uphold the highest standards of quality by providing resources, time, and materials to design, implement, and support efficient operations for organizations. Our track record of measurable accomplishments demonstrates our commitment to cultivating a balanced work and societal ecosystem.Our continuous growth, successful customer engagements, and strong customer retention exemplify our achievements. Furthermore, our passion lies in streamlining complex business processes through the application of suitable technology, which has been integral to our success.We extend an invitation to join our dynamic workplace, offering rapid growth opportunities, excellent employee benefits, and a positive work-life balance.

Company details

Company typeScaleup
IndustryBusiness Consulting & Services
Company size201 - 500

Links

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Job description

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:
  • Experiment 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 modelling 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.
  • Ad-Hoc Analysis: Perform deep dives and provide actionable insights on specific datasets or business questions to 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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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