Job Description
Join DataDriven Innovations as a Senior Data Scientist and transform complex data into actionable business insights. We're a cutting-edge AI startup revolutionizing fintech solutions through predictive analytics and machine learning. In this pivotal role, you'll architect data pipelines, develop advanced ML models, and collaborate with cross-functional teams to drive product innovation. Our culture values intellectual curiosity, technical excellence, and impact – where your work directly shapes the future of financial technology.
What you'll achieve:
- Lead end-to-end data science projects from hypothesis to deployment
- Drive innovation through experimental design and A/B testing
- Mentor junior data scientists and foster a collaborative environment
- Present findings to C-level executives and stakeholders
Responsibilities
- Design and implement scalable machine learning solutions for fraud detection and risk assessment
- Develop statistical models to optimize customer acquisition and retention strategies
- Create automated ETL pipelines processing terabytes of transactional data
- Conduct exploratory data analysis to uncover market trends and opportunities
- Collaborate with engineering teams to deploy models into production environments
- Translate business problems into data-driven solutions with measurable ROI
- Stay current with emerging ML techniques and industry best practices
Qualifications
- 5+ years of experience in data science or machine learning roles
- Expertise in Python, SQL, and statistical modeling (scikit-learn, TensorFlow)
- Strong background in financial services or fintech data analysis
- Proven track record of deploying production-grade ML models
- Advanced degree in Computer Science, Statistics, Mathematics, or related field
- Experience with cloud platforms (AWS/GCP) and big data technologies (Spark, Hadoop)
- Exceptional communication skills for technical and non-technical audiences