Lead Python Application Developer

This is a Non-Employee Contingent Worker Role providing services for TIAA's family of companies and will be employed by TIAA's preferred 3rd Party Supplier. As a Non-Employee CW, perform a variety of moderately complex business planning, support, and project-related duties. Demonstrates an exceptional standard of quality and holds themselves accountable to achieving excellent results.

This role will sit onsite, likely in a hybrid capacity, at the location(s) listed in this posting.

The anticipated term of this engagement will be 4 months. This term could be extended based on company business needs.

CW-IT Applications Developer IV

Develops, implements and assesses specific new and emerging technologies, platforms, and services.

Key Responsibilities and Duties

• Assessing the technical viability of emerging products and technologies.
• Working with developers and infrastructure specialists to test and evaluate new technologies.
• Participating in the development of business cases and obtaining approvals for capital expenditures.
• Monitoring and analyzing new technology product performance and resolving issues regarding potential improvements or modifications to complex situations, as needed.

Educational Requirements

• University (Degree) Preferred

Work Experience

• 5+ Years Required; 7+ Years Preferred

Physical Requirements

• Physical Requirements: Sedentary Work

Career Level

8IC

Job Description for Lead Developer (Python)

Summary of Work (Include a summary of work to be done by the candidate)

The Senior Python Developer is responsible for designing and developing AI/Machine Learning models and enhance accuracy of models. Partner closely with business teams to drive the adoption, integration of model outputs. Responsible for building advanced analytics solutions using various cloud technologies and collaborating with Tech Product Team and Data Scientists to robustly scale up AI/ML Models.

• Create and maintain data flow design and technical requirements documentation using defined documentation templates that meets Agile product development standards (such as data analysis or methodology, MS Excel calculations).
• Understanding business objectives and developing models that help to achieve them, along with metrics to track their progress
• Demonstrating the results of various algorithmic approaches and evaluating their performance
• Leverage a broad set of modern technologies - including Python, R, Scala, and Spark - to analyze and gain insights within large data sets and implement systems for automatic data collection, curation and model training
• Analyze diverse sources of data, extract features from data sources, train and test models, and Productionalize the models that significantly improve business outcomes.
• Works closely with Data Scientists and Data Engineers to develop predictive algorithms
• Training models and tuning their hyperparameters.
• Collaborate with other team members, subject matter experts, and delivery teams to deliver strategic advanced analytic based solutions from design to deployment
• Develop and maintain an understanding of relevant industry standards, best practices, business processes and technology used in modeling and within the financial services industry
• Manage own work with minimal oversight and proactively communicate status and risks to leadership

Required Qualifications

• 7+ years overall experience with 1-3 years in an ESG technology focused role within asset management or financial services industry.
• Proficiency with Python and basic libraries for machine learning such as scikit-learn and pandas.
• Experience with machine learning tools such as scikit-learn, R, Theano, TensorFlow, SparkML, or Foundry
• Experience in using two or more of the following modeling types to solve business problems: classification, regression, time series, clustering, text analytics, survival, association, optimization, reinforcement learning.
• Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries
• Demonstrates functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI , Quick Sight or Tableau .
• Knowledge of cloud & computing technologies such as: Hadoop, Apache Spark, AWS, Microsoft Azure or Google cloud.
• Bachelor's or Masters degree in computer science, data science, statistics, mathematics, or a related field.

Related Skills

Start Date: 25-Sep-2023

End Date: 31-Jan-2024

Travel Required: No

Base Pay Range: $74.17/hr. - $80.38/hr.

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary of internal peers, prior performance, business sector, and geographic location.

Equal Opportunity

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

Read more about the Equal Opportunity Law here.

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Email: [email protected]

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