Data Scientist (In-Person Interview must)

Denver, CO, US • Posted 2 days ago • Updated 2 days ago
Contract W2
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • LangChain
  • LlamaIndex
  • Vector Databases
  • SQL
  • PySpark
  • Design of Experiments
  • Azure
  • AWS

Summary

Position: Data Scientist (In-Person Interview must)
Location: Denver, CO (5 Days Onsite)
Duration: Long Term
Interview: Internal Video Screening----> Client Webex Interview ----> Final In person Interview with Client

About R Systems:
R Systems is a leading digital product engineering company that designs and develops chip-to-cloud software products, platforms, and digital experiences that empower its clients to achieve higher revenues and operational efficiency. Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well as product companies in telecom, media, finance, manufacturing, and health verticals. We Are Great Place to Work Certified in 10 countries with a full-time workforce [India, USA, Canada, Poland, Romania, Moldova, Indonesia, Singapore, Malaysia & Thailand]! We are recognized as one of the Best Tech Brands 2024 by the Times Group and India's Top 500 Value Creators 2023 by Dun & Bradstreet.

Company Link
:

Job Requirement:
Data Scientist with presentation skills (1) - US based and must be great at presentation skills coupled with high analytics knowledge and approach, technical programming and data visualization skills, database SQL skills, Python, ML and AI prompting and development. Leadership and collaboration skills a must
  • GenAI Stack: Experience with LangChain, LlamaIndex, Vector Databases (Pinecone/Milvus), and fine-tuning open-source models. 
  • Data Engineering: Expert-level SQL and PySpark for grooming large-scale datasets.
  • Statistical Control: Deep understanding of Design of Experiments (DoE), hypothesis testing, and Statistical Process Control (SPC) to monitor model drift and performance.
  • MLOps: Proficiency in versioning and deploying models in cloud environments (Azure/AWS).
  
Why Join R Systems?
  • Frequent Internal Hackathons: Engage in dynamic competitions with exciting prizes to keep your skills sharp.
  • Cultural Celebrations: Strengthen our familial bonds through shared celebrations, fostering a sense of community.
  • Diverse Project Exposure: Work on a variety of projects across sectors like Healthcare, Banking, e-commerce, and Retail, collaborating with leading global brands.
  • Centre of Excellence (COE): Benefit from technical guidance and upskilling opportunities provided by our team of technology experts, helping you navigate your career path.
  • E-Learning Platform: Gain access to comprehensive e-learning platforms coupled with a robust mentorship program to enhance your skills.
  • Open Door Policy: Embrace a culture of mutual support, respect, and open dialogue, promoting a collaborative work environment.
If you are passionate and excited about working in a fast-paced, innovative environment, we would love to hear from you!
R Systems is an equal opportunity employer that does not discriminate against any employee or job applicant because of race, color, religion, national origin, sex, physical or mental disability, age, or any other characteristic protected by law. We strive to build a team that reflects the diverse communities we serve, and we actively encourage applications from individuals of all backgrounds and experiences. Our commitment to equal opportunity extends to all aspects of employment, including recruitment, hiring, training, promotion, and benefits.
#LI-RC1
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: rsystems
  • Position Id: 8958712
  • Posted 2 days ago
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