Exactera is hiring a
Senior Data Scientist
Exactera
π΅ $180k-$200k
πRemote - Worldwide
Please let Exactera know you found this job on JobsCollider. Thanks! π
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 modelβs 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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