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Senior Data Scientist
Factor Funding Company. Design user-centric models, including recommender systems for offer design, consumer behavior prediction, purchases, and churn prediction.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Science and Machine Learning, with strong proficiency in SQL and Python, and experience in developing user-centric models and predictive analytics. Capable of conducting exploratory data analysis and communicating complex concepts effectively to diverse audiences.
Highest-signal resume keywords
Data ScienceMachine LearningSQLPythonPredictive Modeling
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisPredictive ModelingStatistical ModelsData Mining TechniquesMachine Learning Algorithms
Soft Skills
Exceptional Communication SkillsCollaborationPresentation Skills
Tools & Technologies
TensorFlowPyTorchScikit-learn
Industry Keywords
Recommender SystemsConsumer Behavior PredictionChurn PredictionModel Performance MonitoringData Quality Assessment
Tech Stack
Tools & technologiesPythonPyTorchScikit-LearnSQLTensorflow
About the role
Key responsibilities & impact- Design user-centric models, including recommender systems for offer design, consumer behavior prediction, purchases, and churn prediction.
- Conduct exploratory data analysis to uncover hidden patterns and extract valuable business insights.
- Utilize predictive modeling and forecasting techniques to support decision-making and improve operational efficiency.
- Continuously monitor model performance, assess data quality, and refine models for accuracy and reliability.
- Stay current with advances in data science and technology and identify opportunities to apply emerging methodologies.
Requirements
What you’ll need- Minimum of 4 years of professional experience in Data Science, Machine Learning, or a related field.
- Strong proficiency in SQL and Python.
- Experience with relevant libraries and frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Deep understanding of machine learning algorithms, statistical models, and data mining techniques.
- Experience working with databases and data querying.
- Exceptional communication skills in English (B2-C2), including the ability to convey complex technical concepts, collaborate effectively in team environments, and deliver impactful presentations to diverse audiences.
Benefits
Comp & perks- Ownership through equity participation.
- Annual company retreat.
- Education bonus for continuous learning.
- Company-wide winter break.
- Paid time off.
- Optional in-person events and meetups.
- Tailored career roadmaps.
- High-performance culture.