You will be responsible for developing highly scalable machine learning models, synthesizing requirements from stakeholders, and creating a product roadmap in collaboration with data engineers, DevOps engineers, product managers, and technical partner teams.
You can expect to be given ambitious but achievable technology development goals, built in short iterations with lots of experimentation.
EXPERIENCEAt least 1 year of experience in the application of artificial intelligence, data mining, machine learning, or pattern recognition techniques to very large and diverse datasets.
Experience building and deploying machine learning solutions on Amazon Web Services (e.g.
S3, EC2, EMR, Spark).
Expertise in R, Python, Spark, and their associated machine learning libraries.
Expertise in SQL query writing and optimization.
Preferably familiar with data visualization techniques using one or more packages such as Tableau or D3 visualization.
Expert use of SQL; experience with non-relational databases is a plus.
Experience in Big Data technologies (Hadoop, Spark, Hive, Drill, Impala, Elasticsearch) is a plus.
Deep skills in machine learning/data science; experience with deep learning.
Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations.
Experience coaching junior machine learning engineers to improve their skills and make them more effective.
Familiarity with the FinTech industry.
Experience performing data analysis for different financial goals.
Experience in any of the following areas is a plus: credit risk management, financial analysis, marketing, fraud detection, consumer analytics, signal processing, computer vision.
ATTRIBUTESYou are always looking for opportunities to test new machine learning tools and frameworks.
You enjoy taking products that delight their users and making them better.
You are obsessed with software quality, consistency, maintainability, scalability, performance, security, and all the other things that make great software great.
You are an advocate of true scientific development methodology.
You are obsessed with user experience.
You pay excruciating attention to detail but couple that with an ability to think abstractly.
EDUCATIONBachelor's in Computer Science, Statistics, Mathematics, or a quantitative discipline.
Quantitative analysis background with 1 year of experience.
Understanding of fundamentals of data structures.
Understanding of fundamentals of algorithm design, problem solving, and complexity analysis.
Understanding of designing and developing large-scale, multi-tiered, distributed software applications.#J-18808-Ljbffr