Senior Data Scientist (Risk & Compliance)

Description:
**100% Remote**

Our client, an industry leader in financial services and money transfers, has an excellent opportunity for a Senior Data Scientist (Risk & Compliance) to work on a 6+ month contract opportunity. Work will be remote, candidates local to Denver preferred. The Senior Data Scientist will manage the entire lifecycle of data science projects, from conception to deployment, while also mentoring junior team members and collaborating with other departments. You are responsible for developing and implementing advanced statistical and machine learning models, creating reports and presentations, and communicating findings to stakeholders. You will also play a key role in driving data-informed decision-making and contributing to the strategic direction of the organization.

Due to client requirement, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.

Rate: $75 - $87 / hr. w2

Responsibilities:

• Project Management: Leading and managing end to end data science projects, defining objectives, define requirements, and ensuring timely delivery.
• Model Development & Implementation: Developing and validating machine learning and statistical models, implementing predictive models, and optimizing existing ones.
• Data Analysis & Insights: Analyzing large datasets, identifying trends and patterns, and extracting actionable insights to inform business decisions.
• Collaboration & Communication: Working with cross-functional teams and stakeholders, including engineering, product, and business stakeholders, to translate complex data into actionable strategies.
• Mentorship & Guidance: Providing guidance and mentorship to junior data scientists, sharing expertise, and fostering their professional growth.
• Staying Updated: Keeping abreast of the latest advancements in data science and AI, exploring new tools and techniques, and identifying opportunities for innovation.
• Strategic Input: Contributing to the development of data-driven strategies and providing input on technical approaches for projects.

Experience Requirements:

• 5+ years of industry experience in applied machine learning, with 2+ years focused on deep learning and neural network applications.
• Experience in Banking, Payments or Financial Services leading in detecting and preventing digital fraud, scams and social engineering.
• Able to quickly understand our current Risk Models with the goal of building a flexible AI solution that partners with our current risk tools to maintains our high standards for Risk Prevention and Compliance while providing flexibility to effectively run our business.
• Expertise in statistical modeling, machine learning algorithms, and data mining techniques.
• Experience navigating difficult scenarios developing and implementing execution ideas with minimal guidance.
• Proficiency in programming languages like Python or R.

Education Requirements:

• Bachelor's degree in Computer Science, Statistics, Applied Math, or related field (Master's or PhD strongly preferred).