Mu sigma (role 1) Job at Highbrow LLC, Austin, TX

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  • Highbrow LLC
  • Austin, TX

Job Description

  • W2
  • Austin, Texas (Day-1 Onsite)
  • Posted 2 months ago


Website Highbrow LLC

Job Title :- Mu sigma (Role 1)

Employment Type :- W2

Duration :- Long Term

Visa Type :- All Visa applicable which are ready for W2

Location :- Austin, Texas (Day-1 Onsite)

Job Description

Required skills and qualifications:

  • Bachelor’s or Master’s degrees in engineering, Mathematics, Statistics, Computer Science, philosophy or a related field.
  • Strong problem-solving and analytical skills.
  • Entrepreneurial mindset with a strong sense of curiosity, proactiveness, and a self-starter
  • Passion for data-driven decision-making and a desire to learn.
  • Experience with SAP ERP systems, including data extraction, analytics, and reporting.
  • Proficiency in Python, R, or SQL for data analysis and machine learning.
  • Understanding basic statistical modeling and data visualization.
  • Candidates must be authorized to work without sponsorship. Visa sponsorship is not available for this role.
  • The position is an Austin-based, onsite role.


Key Job Responsibilities – Job role 1 (2 + yrs experience)

  • Collaborate with clients to understand business challenges and develop data-driven solutions.
  • Analyze large datasets to uncover trends, patterns, and actionable insights for strategic decision-making.
  • Develop and implement statistical models, machine learning algorithms, and AI-driven solutions.
  • Design interactive dashboards and visualizations to effectively communicate insights.
  • Work closely with cross-functional teams, including business stakeholders, data engineers, and product managers.
  • Utilize Python, R, and SQL for data analysis, modeling, and solution development.
  • Continuously explore and apply new analytical techniques to enhance business outcomes.
  • Understanding of Supply Chain business will be good


To apply for this job email your details to jobs@highbrow-tech.com

Job Tags

Full time,

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