Lead Data Strategist

hace 2 días

Madrid, Madrid, España Mymoid A tiempo completo

Company Overview

Mymoid is a Spanish fintech startup, leader in the payments management market and specialized in consumer finance sector. Our goal is to revolutionize the way digital businesses and e-commerces manage their payments and improve their conversion rates and costs optimization.

Salary

We offer an estimated salary of $120,000 per year, commensurate with experience, for this role.

Job Description

Data Scientist Role

We rely on powerful, insightful data to power our systems and solutions. We're seeking an experienced data scientist to deliver that insight to us on a daily basis. Our ideal team member will have the mathematical and statistical expertise you'd expect, but a natural curiosity and creative mind that's not so easy to find.

Responsibilities

  • Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products.
  • Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries.
  • Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables.
  • Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy.
  • Analyze data for trends and patterns, and interpret data with a clear objective in mind.
  • Implement analytical models into production by collaborating with software developers and machine learning engineers.
  • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems.

Required Skills and Qualifications

Requirements

  • Bachelor's degree in statistics, applied mathematics, or related discipline.
  • 7+ years experience in data science.
  • Proficiency with data mining, mathematics, and statistical analysis.
  • Advanced pattern recognition and predictive modeling experience.
  • Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (e.g., Java/Python, SAS).
  • Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects.

Benefits

We offer a competitive benefits package, including health insurance, retirement plan, and paid time off.

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