Job Overview
We are adding a Data Science Software Engineer to a small team of top performers focused on developing complex, AI-based algorithms and forecasting applications in the financial industry. In this role, you will be responsible for developing tools for exploratory data science research and driving the modernization, improvement, and expansion of existing software solutions. The position requires close collaboration with product scientists, data analysts, and software engineers.
Essential Functions:
As the Data Science Software Engineer, you will:
- Collaborate with product data scientists and researchers to understand their needs and requirements for exploratory data science research.
- Design, develop, and maintain intuitive, user-friendly interfaces to support model research, data analytics, and product testing.
- Optimize Python-based code for efficiency, scalability, and robustness.
- Evaluate algorithm design and requirements for feasibility and efficiency.
- Continually stay updated with advancements and best practices in data science and software engineering, and advocate for their implementation.
Competencies, Criteria, and Attributes for Success
- Job Specific Competencies:
- Strong Communication Skills
- Results Orientation
- Problem Solver
- Quality
- Team Oriented
- Detail Oriented
Required Education and Experience
- Established track record (5+ years) developing software and applications, including 4+ years of experience in developing highly complex, heavily algorithmic applications in Python.
- Bachelor’s or higher degree in a quantitative discipline (e.g., Computer Science, Engineering, Math, Physics).
- Experience developing software tools and frameworks for data science research.
- Proficiency in Python, with a solid understanding of data science libraries such as Pandas, NumPy, and Scikit-learn.
- Knowledge of machine learning techniques and algorithms.
- Familiarity with version control systems (e.g., Git, Bitbucket) and agile methodologies and tools (JIRA).
- Strong problem-solving skills, attention to detail, and ability to handle multiple tasks simultaneously.
- Comfort with ambiguity in problem specification and emerging objectives.
- High level of pragmatism; able to apply varying levels of rigor appropriately to different projects based on the nature of the project and surrounding circumstances.
Nice to have…
- Experience with big data tools and platforms, such as Hadoop, Spark, or Kafka.
- Knowledge of cloud computing services like AWS.
- Experience modernizing and refactoring legacy software systems.
- Experience in developing user interfaces for complex analytics tools.
- Proficiency in SQL and experience with relational and NoSQL databases.
About CreditXpert Inc.
CreditXpert Inc. is a successful software company that enjoys the freedom to chart its own path. Our team is a small, close-knit community, where each person can make a big impact. We are nimble and have thrived for over 20 years in the midst of constant industry and regulatory upheaval. We believe in using our talents to make a positive impact on the world by improving the financial lives of Americans. As lifelong learners, we have a passion for change and we constantly adapt everything (our business, internal processes, tools…).
Additional Details
Position Type: Full-Time
Classification: Exempt
Category/Level: Professional
Supervisory: No
Travel: 5% or less
Benefits
We strive to create a great experience for our team, not just our customers. We want everyone to be excited about their work, fulfilled and worry-free. That’s why we offer lots of autonomy, support, and the flexibility you need to balance your life. Our compensation and benefits package ensures that you can focus all your energy on creating value for our customers and the company.
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