DEPARTMENT: ADVANCED ANALYTICS & BUSINESS INTELLIGENCE
In pursuit of a B.S. or M.S. in a STEM related field (Data Science / Machine Learning, Applied Mathematics, Computer Science, Statistics, Physics and/or a related Advanced Analytics field) required
Professional or academic exposure to data science concepts, mathematical modeling, algorithm development and computational tools on a variety of platforms, frameworks, and methodologies (i.e. R, Python, Spark (PySpark), Hadoop, SQL, Databricks) required
Proficiency with data visualization technology and capabilities
Proficiency with programming in Python, R, SQL or similar language
Familiarity with varying database structures
Using the latest technologies, develop machine learning algorithms and mathematical models on the Azure platform (e.g. Azure Cloud and Advanced Analytics Platform, Spark via Databricks, Azure Data Science VM, Tableau / PowerBI, etc).
Perform large-scale data analysis by applying a research mindset with a bias towards action and an ability to structure the solution from exploration to prototype to implementation.
Drive the collection of new data and the refinement / data modeling of existing data sources.
Collaborate with other data scientists, data engineers, and business domain experts to identify, analyze, and interpret trends or patterns in complex data sets / develop, prototype and test predictive algorithms.
Identify actionable insights, suggest recommendations and influence the direction of the business by communicating results to cross-functional groups.
Prepare written and verbal communications along with preparing and delivering data science artifacts (abstract, data sources / data dictionaries, code library, research / findings, modeling / deployment report, new ideas / next steps)
8:30 a.m. - 5:00 p.m. (Overtime as required)
Federated Hermes Tower – Pittsburgh, PA 15222
Solid, proven grasp of data analysis required; Comfort in manipulating and modeling complex, high-volume, high-dimensionality data from disparate sources.
Ability to collect, organize, blend, cleanse and synthesize large volumes of disparate data
Strong written and verbal communication skills
Must be able to work independently
Excellent problem solving and decision making skills
A visionary / innovation mindset with a passion for learning new technologies and translating data into business solutions.
Federated Investors, Inc. offers a competitive salary and benefits package along with a professional environment.
Only those candidates in whom we have an interest will be contacted.
Internal Number: 8024
About Federated Hermes
For more than 60 years, Federated Hermes has provided world-class investment solutions to financial professionals in the United States and around the world. Federated Hermes' employees have defined the qualities of the company’s success over the decades: a reputation for integrity and excellence, a commitment to customers and employees and a history of longstanding client relationships. While each market cycle brings new opportunities and challenges to the company, Federated Hermes continues to foster employee commitment to excellence in the investment management industry.