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:

    Senior Data Scientist - Machine Learning

  • Location:

    New jersey,NJ

  • Duration:

    10 Months

  • Domain Exposure:

    Healthcare, Retail, Aerospace/ Airlines, 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

Position Description

  • We are hiring for Data Scientists at all levels to join our data science team, which comprises of data engineers and data scientists. Our team is chartered with developing statistical and machine learning models and building a robust platform to enable the application of data science to in-store technology. We work closely with each other and the business stakeholders at Walmart. Data scientists in our team participate in the full life cycle of model development, which spans from business problem discovery to model deployment and monitoring.
  • Specifically, data scientists will:
  • Work with business stakeholders to understand the business requirements and the data available to solve the corresponding problems
  • Translate the business requirements to a problem that can be solved using statistical and/or machine learning techniques
  • Build datasets from different sources for data analysis and model development, which will include wrangling, cleaning, and pre-processing data
  • Conduct exploratory data analysis to understand the patterns and potential business insights exhibited in the data
  • Create data visualization to summarize the insights discovered during the data analysis and communicate them to internal team members and business stakeholders
  • Develop statistical and machine learning models to solve business problems and derive actionable business insights
  • Help deploy models in various formats
  • Derive metrics for model performance monitoring and conduct continuous model performance monitoring (after deployment)
  • Present insights discovered from data analysis and statistical/machine learning modeling and make recommendation based on the results to internal team members and business stakeholders
  • Be proactive and take ownership of the projects and tasks assigned
  • Provide and support the implementation of business solutions
  • Collaborate with other data scientists and data engineers in our team
  • Lead small and participate in large project teams
  • Coach junior members and share knowledge with the broader team
  • Continue to widen and deepen data science and engineering skill sets
  • Live by our Company culture and values
  • Models compliance with company policies and procedures and supports company mission, values, and standards of ethics and integrity

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