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Data Scientist

Pittsburgh, PA

Posted: 03/11/2024 Job Category: Other Area(s) Job Number: 6884

Job Description

OpenArc - Empowering Your Career. As a leading IT staffing firm, we are dedicated to connecting talented professionals with your ideal opportunities. We are currently seeking a qualified Data Scientist to join our client’s organization and contribute to their ongoing success. 

Job summary

Your role on the Data Science team will be primarily focused on our large datasets, and you will design and implement scalable statistical systems based on your analysis. As part of our team, you must be a data nerd with a strong understanding of the various fundamentals of data science and analysis and know how to bring data to life. In order to do this job well, you must be a highly organized problem-solver and possess excellent oral and written communication skills. You are independent, driven, and motivated to jump in and roll up your sleeves to get the job done. You lead by influence and motivation. You have a passion for great work and nothing less than your best will do. 


  • Design experiments, test hypotheses, and build models for advanced data analysis and complex algorithms
  • Apply advanced statistical and predictive modeling techniques to build, maintain, and improve multiple real-time decision systems 
  • Make strategic recommendations on data collection, integration, and retention requirements, incorporating business requirements and knowledge of data industry best practices 
  • Model and frame business scenarios that are meaningful and which impact critical processes and decisions; transform, standardize, and integrate datasets for client use cases
  • Convert custom, complex and manual client data analysis tasks into repeatable, configurable processes for consistent and scalable use 
  • Optimize processes for maximum speed, performance, and accuracy; craft clean, testable, and maintainable code
  • Partner with internal business analysts and external client teams to seek out the best solutions regarding data-driven problem solving
  • Participate in end-to-end software development, on an agile team in a scrum process, collaborating closely with fellow software, machine learning, data, and QA engineers


  • Hands-on data science experience
  • Key insights and KPIs for external and internal customers
  • Regular development experience in Python
  • Prior hands-on experience working with data-driven analytics 
  • Proven ability to develop solutions to loosely defined business problems by leveraging pattern detection over large datasets 
  • Proficiency in statistical analysis, quantitative analytics, forecasting/predictive analytics, multivariate testing, and optimization algorithms 
  • Experience using machine learning algorithms (e.g., gradient-boosted machines, neural networks)
  • Ability to work independently with little supervision
  • Strong communication and interpersonal skills
  • Experience in or exposure to the nuances of a startup or other entrepreneurial environment
  • Experience working on agile/scrum teams
  • Experience building datasets from common database tools using flavors of SQL
  • Expertise with automation and streaming data
  • Experience with major NLP frameworks (spaCy, fasttext, BERT)Familiarity with big data frameworks (e.g., HDFS, Spark) and AWS
  • Familiarity with Git source control management
  • Experience working in a product organization
  • Experience analyzing financial, supply chain/logistics, or intellectual property data

At OpenArc, we prioritize your career success and strive to build exceptional technical teams for our clients. By understanding your experience and aspirations, we ensure to present you with rewarding and fulfilling opportunities. 


As an employee of OpenArc and our clients, you will be eligible to participate in a comprehensive benefits package.

OpenArc is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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