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Data Scientist

Data Scientist

Federated HermesPittsburgh, US
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POSITION SPECIFICATIONS

  • Bachelor’s Degree in STEM (science, technology, engineering, math) related field or a similar quantitative analytics field.
  • Up to 4 years of professional experience including exposure to data science concepts and computational tools (i.e., Python, Spark (PySpark), SQL, Hadoop, etc.). Professional, internship or project-based experience preferred.
  • Familiarity with varying database structures and experience working with large datasets.
  • Exposure to data visualization technology and capabilities (i.e., Power BI, Tableau).
  • Exposure to a variety of data products that will complement data preparation, algorithm models and visualization development (i.e., Panda Libraries, Jupyter Notebooks, Power BI, etc.).
  • Intermediate technical and analytical abilities with programming skills in a language such as Python.
  • Basic understanding of the techniques to collect, organize, blend, cleanse and synthesize large volumes of disparate data.
  • Ability to effectively communicate “data stories” to other non-technical business partners.
  • The experience level of the candidate will determine level of position as Data Scientist or Sr. Data Scientist

MAJOR DUTIES :

  • Develop knowledge and then utilize a range of data science tools and techniques including Azure Cloud Data & Advanced Analytics tech stack, Spark via Databricks, Azure Machine Learning and PowerBI / Tableau.
  • Participate in the development of documentation; coordinate closely with team members and leadership to communicate project statuses and initiatives.
  • Design new data science solutions and implement research ideas and trading algorithms to drive insights consumed by analysts and portfolio managers.
  • Work in an agile, collaborative environment, partnering with other data scientists, data engineers, and data analysts of all backgrounds and disciplines to bring data and analytics to life.
  • Assist development of data pipeline programs and perform analysis on alternative and traditional datasets to develop investment factors and insights using machine learning and quantitative methods.
  • Identify and develop custom data models and the appropriate algorithmic methods (regression models, classification, tree-based methods, text mining, natural language processing, unsupervised learning such as clustering, etc.) to support all stages of the data science lifecycle cycle.
  • Build compelling, clear, and powerful visualizations that are useful and appealing to users.
  • 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).
  • Responsible for staying on top of analytical techniques such as machine learning, deep learning and text analytics as they rapidly evolve.

    • HOURS / LOCATION :

  • 8 : 30 a.m. - 5 : 00 p.m. (Overtime as required)
  • Pittsburgh, PA 15222
  • Hybrid Location (office / remote)

    • EXPLANATORY COMMENTS :

  • Excellent analytical skills with the ability to understand business issues / strategy
  • Demonstrate the ability to work independently as a self-starter, to drive and contribute to success
  • Excellent problem solving, decision-making and project management skills
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    Data Scientist • Pittsburgh, US