DIRECTOR OF DATA SCIENCE & AI

Role: Director of Machine Learning and Data Science, AI

Location: 3 days on site (Tues-Thurs) in either Chicago, IL or Columbia, MD Salary: $160k-$170k (access to 25% prorated bonus potential and a very comprehensive benefits package) IV Process- 2 or 3 step Video interview process

The Director, Data Science- Machine Learning will: • Identifies and manages existing and emerging risks that stem from business activities and the job role. • Ensures risks associated with business activities are effectively identified, measured, monitored, and controlled. • Follows written risk and compliance policies, standards, and procedures for business activities. • Collaborates with other analytical leaders to fulfill the strategic direction of the business through data and information exploration, research of emerging technologies or analytical techniques, and execution of assignments. • Oversees and carries out the exploration of promising new technologies, analytical methods, and data sources (internal & external) that have potential to contribute to the enterprise. • Partners with enterprise analytical and IT teams to build core capabilities and processes. • Identifies additional resource needs ranging from IT investments, 3rd party support, or additional analysts. • Understands the business direction, environment, and strategies to identify and recommend and plan a roadmap of solutions that influence decision makers and inspire change. • Directs the design and construction of large and complex data sets from large amounts of structured and unstructured data (internal and external) to enable analytical solutions. • Directs the ideation, development, deployment, monitoring, and automated refreshing of ML models that predict in real-time. • Builds and leads a high performing team of experts in applications of AI/ML; develops team reputation as highly skilled experts in the field of data science and AI app development.

Qualifications

• Master's degree or PhD in Data Science, Computer Science, Applied Mathematics, Quantitative Economics, Statistics, or related field OR 6 additional years of related experience beyond the minimum required may be substituted in lieu of a degree. • Eight (8) years of experience in predictive modeling, large data analysis and computer science. • Three (3) years of direct management experience of data science function. • Expert in at least one compiled language (e.g., Java, C) and one dynamic scripting language (e.g., Python). • An Experience in stochastic modeling, machine learning, and other advanced mathematical techniques (e.g., neural nets, simulation, graph analysis). • Strong record of communicating results, insights, and technical solutions to Senior Executive Management (or equivalent). • Experience in data mining and wrangling and statistical analysis. • Excellent pattern recognition and predictive modeling skills. • Knowledge and application of data science principles and experience with data science methodologies. • Experience with the following statistical and predictive modeling approaches: Gaussian Process; Markov Models; Hierarchical Clustering; K-Means; Linear Regression; Logistic Regression; Monte Carlo Simulation; Neural Networks. • Deep technical skills, consulting experience, and business savvy to work with all levels and disciplines within our customers' organization. • Demonstrated ability to communicate ideas with team members and/or business leaders to convey and present very technical information to an audience that may have little or no understanding of technical concepts in data science.

Preferred Qualifications

• Advanced knowledge of statistical methods, mathematics, and AI/ML algorithms including traditional general linear model (GLM) family models (including linear and logistic), tree-based methods (random forest, gradient boosted models), deep learning methods (neural networks, etc.), and general optimization methods (e.g., gradient descent, etc.). • Knowledge in model performance evaluation techniques, metrics, and validations strategies (nested-cross-validation, etc.). • Expert in data visualization principles, techniques, and tools. • Expert in communicating concepts, proposals, ideas, and results to key decision makers. • Expert in model testing, validation, and CI/CD techniques. • Knowledge and familiarity with Google Cloud Platform. • Not be afraid of hard work and doing things smarter, taking initiative, and providing leadership. • Experience with Vertex AI ML Ops platform or similar. • Experience with systems in the Education Space. • Experience in experimental design. • Experience in project and vendor management. • Experience with Azure DevOps.

-- Thanks & Regards, Kalyan Sadanala| Talent acquisition specialist Thoughtwave Software and Solutions 314 N. Lake St, Suite 6, Aurora IL 60506 Desk: 6303132177, EXTN: 148 Text Message: 8722346381 Email: Kalyan@thoughtwavesoft.com Website: www.thoughtwavesoft.com Linked in: https://www.linkedin.com/in/kalyan-sadanala-21b678214/