Data Scientist

About Persistent We are a trusted Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what’s next. Our offerings and proven solutions create unique competitive advantage for our clients by giving them the power to see beyond and rise above. We are experiencing tremendous growth, with $566 million in revenue in FY21, representing 12.9% year-over-year growth. Along with that growth, we onboarded over 3,000 new employees in the past year, bringing our total employee count to over 15,000 people located in 18 countries across the globe. At Persistent, our values are more than a list of ideals to improve our corporate image. We’re dedicated to building an inclusive culture that reflects what’s important to our employees and is based on what they value. As a result, 95% of our employees approve of the CEO and 83% recommend working at Persistent to a friend. About Position: This position serves as a data science team member in the Model Validation and Monitoring Team delivering leading edge machine learning models to our clients. This includes providing effective challenges to model development, conduct model monitoring and performance tracking, provide root cause analysis of model performance, exploring, building, validating, and deploying models. About Position: Role: Data Scientist - Model Validation and Monitoring Location: Scottsdale AZ (onsite) Hire Type: contract Experience: 8+ years of experience What You'll Do: • Lead model monitoring activities, including tracking performance metrics, detecting model and data drift, identifying data quality issues, providing root cause analysis, and recommending remediation strategies. • Conduct rigorous model validation by providing effective challenges during model development phases, including performance testing, benchmarking, provide remediation plan, and documentation to ensure models meet business, technical, and regulatory standards. • Explore and aggregate data independently to uncover data anomalies that impact algorithm performance • Write production level code in a dynamic, start-up environment • Solve complex problems using terabyte size data sets • Apply of a variety of machine learning techniques to a business problem to arrive at optimal approach • Partner with Product and Engineering teams to solve problems and identify trends and opportunities • Explain and visualize results and algorithm performance to non-technical audiences Expertise You'll Bring: • A minimum of 2 years of data science, engineering, mathematics, or related work experience is required. • Experience developing data science pipelines & workflows in Python, R or equivalent programming language. Experience in writing and tuning SQL. Experience handling terabyte size datasets with Spark language. • Experience applying various machine learning techniques, and understanding the key parameters that affect model performance • Experience using ML libraries, such as scikit-learn, mllib, etc. • Experience using data visualization tools • Able to write production level code, which is well-written and explainable • Ability to effectively communicate findings from complex analyses to non-technical audiences. • Experience of using advanced ML algorithms building, testing, and deploying fraud models. • Hands-on experience with PySpark • Industry experience in building or validating machine learning models • Experience exploring data and finding hidden patterns and data anomalies Benefits: • Competitive salary and benefits package • Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications • Opportunity to work with cutting-edge technologies • Employee engagement initiatives such as project parties, flexible work hours, and ‘Long Service’ awards • Annual health check-ups as well as insurance: • Group term life insurance • Personal accident insurance • Mediclaim hospitalization insurance for self, spouse, two children, and parents Why Persistent is an employer of choice • Technology Innovation: culture of innovation using cutting-edge technology to bring value to clients. • Growth and Career Progression: learning opportunities for growth, including quarterly promotion cycles. • One Persistent Culture: global outlook with diversity and inclusion at its core. • Mental and Physical Wellness: employee health and mindfulness programs