Data Science Engineer w/ PYTHON- Perm Only - Quantitative mindset

Our client is 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.

Requirements

Competencies, Criteria, and Attributes for Success

• Job Specific Competencies:
• Strong Communication Skills
• Results Orientation
• Problem Solver
• Quality
• Team Oriented
• Detail Oriented

Team Player: Are you a joiner? Are you comfortable working outside of the boundaries of your job description to support the company and team?

Respected: Do you value integrity and display leadership qualities? Are you trusted to represent the brand well?

Judiciously Courageous: Are you courageous enough to judiciously speak up?

Composed: Are you composed, respectful, and calm? Do you value outcomes over output?

Accountable: Do you own your work, your decisions, and the outcomes good or bad?

No Ego: Are you confident without having an ego? Would people say you are an active listener? Do you delegate where necessary, knowing that you can t possibly know it all?

Builder Mindset: Do you have an open mindset? Would you consider yourself a strategic doer?

Focused: Do you easily differentiate between real problems and background noise?

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 such (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.

For consideration, please submit your resume as a MS Word attachment to

The Consortium

"Combining Talent with Technology"

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