Our client is a dynamic and innovative fintech company dedicated to revolutionizing the financial landscape and improving personal financial wellness through cutting-edge technology and data-driven solutions. Their mission is to empower individuals to make smarter financial decisions by harnessing the power of financial literacy and data science.

The company is seeking a highly skilled Senior Data Scientist to join their growing team. As a Senior Data Scientist, you will play a pivotal role in driving data science initiatives, leveraging your expertise to extract valuable insights from complex datasets and develop predictive models. The ideal candidate will have a proven track record of success in a startup or small-scale company environment, possessing the agility and adaptability to thrive in a fast-paced and collaborative setting.

Responsibilities:

1. Data Exploration and Analysis: Lead the exploration and analysis of large, complex datasets to uncover actionable insights and identify opportunities for optimization.
2. Model Development: Develop advanced machine learning models and algorithms to address business challenges, such as customer segmentation, risk assessment, and fraud detection.
3. Prototype Development: Rapidly prototype and iterate on data-driven solutions, working closely with cross-functional teams to translate business requirements into technical specifications.
4. Model Deployment: Collaborate with software engineers to deploy models into production environments, ensuring scalability, reliability, and performance.
5. Performance Monitoring and Optimization: Continuously monitor model performance and iterate on methodologies to improve predictive accuracy and efficiency.
6. Cross-functional Collaboration: Work closely with stakeholders across the organization, including product managers, engineers, and executives, to align data science initiatives with strategic objectives.
7. Mentorship and Leadership: Provide guidance and mentorship to junior members of the data science team, fostering a culture of continuous learning and professional development.

Qualifications:

1. Advanced Degree: Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
2. Experience: 5 years of experience in data science, with a focus on machine learning, predictive modeling, and statistical analysis.
3. Technical Proficiency: Proficiency in Python, as well as experience with libraries such as TensorFlow, PyTorch, scikit-learn, and pandas.
4. Startup Experience: Demonstrated experience working in a startup or small-scale company environment, with the ability to thrive in a fast-paced and dynamic setting.
5. Team Collaboration: Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.

Preferred Qualifications:

1. Financial Services Experience: Previous experience working in the fintech or financial services industry, with knowledge of financial products, markets, and regulations.
2. Cloud Computing: Experience with cloud computing platforms such as AWS, Azure, or Google Cloud Platform, including knowledge of services such as AWS SageMaker or Google Cloud AI Platform.
3. Big Data Technologies: Familiarity with big data technologies such as Hadoop, Spark, or Kafka, as well as experience working with large-scale distributed systems.

Benefits:

• Competitive Salary
• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)

**Applicants must be currently authorized to work in the US on a full-time basis now and in the future.**

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