Senior Data Scientist / Fintech / Remote

Overview

Remote
On Site
160k - 190k
Full Time

Skills

Google Cloud
Data Science
Machine Learning (ML)
Risk assessment
Business requirements
Performance monitoring
Professional development
Computer science
Predictive modelling
Statistics
scikit-learn
Financial services
Cloud computing
Amazon SageMaker
Big data
Health insurance
Data
Finance
Pivotal
Startups
Adaptability
Oracle Linux
Leadership
Optimization
Algorithms
Fraud
Specification
Software deployment
Collaboration
Scalability
Mentorship
Mathematics
FOCUS
Python
TensorFlow
PyTorch
Pandas
Communication
Amazon Web Services
Microsoft Azure
Artificial intelligence
Apache Hadoop
Apache Spark
Apache Kafka

Job Details

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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About Motion Recruitment Partners, LLC