W-2 Jobs Portal

  • W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.
Candidates encouraged to apply directly using this portal. We do not accept resumes from other company/ third-party recruiters

Job Overview

  • Job ID:

    J36993

  • Specialized Area:

    Data Science

  • Job Title:

    Data Scientist

  • Location:

    Bethesda,MD

  • Duration:

    12 Months

  • Domain Exposure:

    Telecom, Education, IT/Software

  • Work Authorization:

    US Citizen, Green Card, OPT-EAD, CPT, H-1B,
    H4-EAD, L2-EAD, GC-EAD

  • Client:

    To Be Discussed Later

  • Employment Type:

    W-2 (Consultant must be on our company payroll. C2C is not allowed)




Job Description

Duties and Responsibilities: 


  • Performs improved visual representation of data to allow clearer communication, viewer engagement and faster/better decision-making
  • Investigates, recommends, and initiates acquisition of new data resources from internal and external sources
  • Works with IT teams to support data collection, integration, and retention requirements based on business need
  • Identifies critical and emerging technologies that will support and extend quantitative analytic capabilities
  • Manages work efforts which require the use of sophisticated project planning techniques
  • Applies a wide application of complex principles, theories and concepts in a specific field to provide solutions to a wide range of difficult problems
  • Develops and maintains an effective network of both scientific and business contacts/knowledge obtaining relevant information and intelligence around the market and emergent opportunities
  • Contributes data to State Farm's internal and external publications, write articles for leading journals and participate in academic and industry conferences
  • Collaborates with business subject matter experts to select relevant sources of information
  • Develop breadth of knowledge in programming (R, Python), Descriptive, Inferential, and Experimental Design statistics, advanced mathematics, and database functionality (SQL, Hadoop)
  • Develop expertise with multiple machine learning algorithms and data science techniques, such as exploratory data analysis, generative and discriminative predictive modeling, graph theory, recommender systems, text analytics, computer vision, deep learning, optimization and validation

Skills & Professional Experience:

  • Develop hypotheses, design experiments, and test feasibility of proposed actions to determine probable outcomes using a variety of tools & technologies
  • Masters, other advanced degrees , or five (5) years' experience in an analytical field such as data science quantitative marketing, statistics, operations research, management science, industrial engineering, economics, etc. or equivalent practical experience preferred.
  • Experience with SQL, Python, R, Java, SAS or MapReduce, SPARK
  • Experience with unstructured data sets: text analytics, image recognition etc.
  • Experience working with numerous large data sets/data warehouses and ability to pull from such data sets using relevant programs & coding including files, RDBMS & Hadoop based storage systems
  • Knowledge in machine learning methods including at least one of the following: Time series analysis, Hierarchical Bayes; or learning techniques such as Decision Trees, Boosting, Random Forests.
  • Excellent communication skills and the ability to manage multiple diverse stakeholders across businesses and leadership levels.
  • Exercise sound judgment to diagnose and resolve problems within area of expertise
  • Familiarity with CI/CD development methods, Git and Docker a plus

Apply Now
Equal Opportunity Employer

ROBOTIC PROCESS AUTOMATION LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ROBOTIC PROCESS AUTOMATION LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ROBOTIC PROCESS AUTOMATION LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract