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: Data Exploration and Analysis: Lead the exploration and analysis of large, complex datasets to uncover actionable insights and identify opportunities for optimization. Model Development: Develop advanced machine learning models and algorithms to address business challenges, such as customer segmentation, risk assessment, and fraud detection. Prototype Development: Rapidly prototype and iterate on data-driven solutions, working closely with cross-functional teams to translate business requirements into technical specifications. Model Deployment: Collaborate with software engineers to deploy models into production environments, ensuring scalability, reliability, and performance. Performance Monitoring and Optimization: Continuously monitor model performance and iterate on methodologies to improve predictive accuracy and efficiency. Cross-functional Collaboration: Work closely with stakeholders across the organization, including product managers, engineers, and executives, to align data science initiatives with strategic objectives. 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: Advanced Degree: Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field. Experience: 5+ years of experience in data science, with a focus on machine learning, predictive modeling, and statistical analysis. Technical Proficiency: Proficiency in Python, as well as experience with libraries such as TensorFlow, PyTorch, scikit-learn, and pandas. 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. Team Collaboration: Strong interpersonal and communication skills, with the ability to collaborate effectively with cross-functional teams and stakeholders. Preferred Qualifications: Financial Services Experience: Previous experience working in the fintech or financial services industry, with knowledge of financial products, markets, and regulations. 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. 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.**
#LI-LT2 Posted by: Lindsay Troyer Specialization: Machine Learning/Data Science
Teamwork Cross-functional teams scikit-learn statistics Amazon Web Services (AWS) Apache Spark Computer Science performance Apache Kafka Azure optimization remote work cloud-computing Google Cloud Platform (GCP) Mentoring Hadoop Model deployment mathematics pandas Data Science Python Analysis Fintech Big data TensorFlow ML models Leadership prototyping PyTorch