Job description

Odessa is a US-based company with offices in Philadelphia, USA and Bangalore, India. Our leasing solutions power a customer base comprised of leading global financial institutions that operate across market segments. We transform bold ideas into breakthrough outcomes for customers that drive the economy through equipment and fleet leasing: IT, healthcare, transportation and more.
As the largest software and technology provider in the leasing industry, Odessa provides a feature-rich lease and asset finance solution that manages the full contract lifecycle, from originations to servicing. As a Platform, Odessa delivers a complete solution for commercial lending companies, driving the future of asset finance. With best-in-class functionality, extensible architecture and a suite of value-added features and services, Odessa helps companies transform their business operations.

Primary Role
Odessa is looking for an experienced data scientist to drive high-quality design, execution, and development of analytical solutions that solve for complex business problems. As a data scientist, you will be responsible for developing features that rely on insights garnered by analyzing information and transactional data in the product database. The ideal candidate will be experienced in utilizing large datasets to identify new insights and opportunities for product and process optimization as well as using models to test the effectiveness of recommended processes and procedures. In this role, you will serve as a key stakeholder and thought leader in the evolution of Odessa’s overall AI offering, working cross-functionally with technology leadership, functional teams and wide range of stakeholders to drive the long-term product roadmap. He/she will constantly look for opportunities in Odessa’s overall AI offering to drive innovation, leveraging industry best practices to add value to the customer journey in our solution suite.

What you’ll do
› Work closely with stakeholders across the organization to identify opportunities to leverage product data to drive business solutions
› Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques, and
business strategies
› Use predictive modeling to increase and optimize customer experiences, process optimization, financial fraud detection, business event
prediction, and other business outcomes
› Assess effectiveness and accuracy of new data sources and data gathering techniques
› Develop custom data models and algorithms to apply to data sets
› Drive testing strategy for AI initiatives and test model quality
› Coordinate with functional and technical teams to understand, implement, and help design the optimal technical solutions
› Develop processes and tools to monitor and analyze model performance and data accuracy

Basic qualifications
› Bachelor’s or Master’s Degree in Statistics, Mathematics, Computer Science, or equivalent quantitative field
› 5-7 years of experience manipulating data sets and building statistical models, and is familiar with the following software/tools:
› Coding knowledge and experience with several languages: C, C++, Java, JavaScript, etc.
› Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining,
social network analysis, etc.
› Experience querying databases and using statistical computer languages: R, Python, SLQ, etc.
› Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling,
clustering, decision trees, neural networks, etc.
› Experience analyzing data from 3rd party providers: Google Analytics, Site Catalyst, Coremetrics, Adwords, Crimson Hexagon, Facebook
Insights, etc.
› Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.

› Strong problem-solving skills with an emphasis on product development
› Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
› Experience working with and creating data architectures
› Knowledge of multiple machine learning techniques including clustering, decision tree learning, artificial neural networks, etc., their real-world
advantages and/or drawbacks
› Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.)
and experience with applications
› Proven ability to drive business results with data-based insights
› Excellent written and verbal communication skills to work collaboratively and sucessfully coordinate across teams

Preferred qualifications

› Experience building AI-related features in enterprise-grade solutions in the BFSI space
› Hands-on experience with the usage of emerging technologies (Azure or AWS AI/ML services)

Our commitment to you
› Your entrepreneurial spirit and vision will fuel opportunities for career advancement
› You’ll make a difference for some pretty impressive brands; Odessa serves many of the world’s leading financial institutions & manufacturers
› Opportunities for regular learning through training, assignments and collaboration with experts across the company
› We’re a Microsoft.NET shop with our solution built using true Services Oriented Architecture - we’ll always keep you on the most current .NET tech
› Exposure to a leading FinTech solution and the latest applications of technology in the world of financial services
› You’ll gain access to a dynamic industry, worth more than $1.1 Trillion in the United States alone

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