Senior Data Scientist, Exactera

• The ideal candidate will possess a powerful combination of mathematical and statistical expertise, natural curiosity, and creative problem-solving skills
• Your ability to synthesize information across diverse datasets and ask incisive questions will be fundamental in shaping our data-driven strategies
• Importantly, your emphasis on leveraging advanced data collection methods, sophisticated scraping tools, and accessing third-party data will play a key role in not just replacing but significantly expanding our data ingestion capabilities
• 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

Desirable

• We are seeking an exceptional Senior Data Scientist with a focus on data ingestion to join our innovative team
• In this role, you will be the driving force behind uncovering hidden opportunities and realizing the full potential of our data
• Collaborating closely with our engineering and product teams, you will apply scientific methodologies to tackle complex business challenges and derive actionable insights
• 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