Exactera is hiring a
Senior Data Scientist

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Exactera

πŸ’΅ $180k-$200k
πŸ“Remote - Worldwide

Summary

Join Exactera's innovative team as a Senior Data Scientist with expertise in data ingestion. The ideal candidate will possess mathematical and statistical expertise, natural curiosity, and creative problem-solving skills to drive business challenges and derive actionable insights.

Requirements

  • 5+ years of experience in data science, with a focus on data ingestion
  • Strong programming skills in Python, R, or similar languages
  • Strong expertise in building data models for large datasets, including natural language processing (NLP)
  • 3+ years of experience with query languages and database technologies
  • 2+ years of experience working with cloud computing platforms such as AWS
  • Proficiency in data visualization tools (e.g., Tableau, PowerBI, matplotlib)
  • Hands-on experience with A/B testing and optimizing machine learning models
  • Strong knowledge of data engineering principles and big data technologies
  • Excellent communication skills, with the ability to explain complex technical concepts to non-technical audiences
  • Experience in presenting data-driven insights to senior management and influencing decision-making
  • Demonstrated ability to work collaboratively with engineering teams to implement data science solutions

Responsibilities

  • Design strategies for gathering data from internal and external sources (e.g., scraping business descriptions, pulling financial data). Ensure data quality, accuracy, and reliability
  • Research and implement methods to collect and enrich data without relying on third-party sources, ensuring that the internal database provides comprehensive coverage
  • Develop complex algorithms to process and enrich raw data, transforming qualitative text (e.g., business descriptions) into quantitative features
  • Set up and execute A/B testing comparing the model’s performance with and without enrichments
  • Evaluate and track the impact of data enrichments using key performance metrics. Optimize models for better performance based on test results
  • Continuously explore new methods or sources to enrich company data, such as alternative datasets or external APIs
  • Create compelling data visualizations and narratives to effectively communicate findings to both technical and non-technical stakeholders
  • Collaborate with cross-functional teams, including business leaders and engineering, to translate data insights into actionable strategies
  • Design and conduct experiments to evaluate and improve model performance
  • Develop and maintain documentation for data processes, models, and methodologies

Preferred Qualifications

  • Proven track record of delivering measurable value to stakeholders and driving positive business outcomes through data-driven initiatives
  • Experience applying design of experiments (DOE) in a professional setting
  • Master's degree or Ph.D. in Computer Science, Data Science, Statistics, or a related field
  • Experience in a fast-paced, startup environment
  • Fintech background is a bonus

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