Data Scientist
Contract W2
12 Months
On-site
Depends on Experience
VBEST Software Inc
Fitment
Dice Job Match Score™
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Job Details
Skills
- SQL
- Python
- AI
- Data Scientist
- LLM
- ML
- Generative AI
- Tableau
- BI
Summary
Minimum Experience: 7+ Years
W2 candidates
Must have required skills:
- SQL (Expert Level)
- Python (Expert Level)
- Product Analytics / Business Analytics
- A/B Testing & Experiment Design
- Statistical Analysis
- Machine Learning
- Apache Spark / Big Data Analytics
- Generative AI / LLM Knowledge
- Data Visualization (Tableau or similar BI tools)
- Stakeholder Communication & Business Problem Solving
Other Details of Role:
- A Data Scientist with strong SQL and Python skills, solid product/business analytics experience, hands-on expertise in A/B testing and statistics, exposure to Machine Learning and AI/LLM use cases, and the ability to communicate insights effectively to business stakeholders. This appears to be a business-focused Data Scientist role rather than a pure ML Engineer or AI Engineer position.
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: 91120480
- Position Id: 9104080
- Posted 4 hours ago
Company Info
About VBEST Software Inc
Our expertise spanning over a decade has dealt with diversified Information Technology projects that have not only met with high in demand talented positions, but also managed to fill some of the critical and key technology positions.
Vbest software Inc. Team outsources the best talent and skill in the industry who provide the best support, save business time and deliver solutions, specifically in respect of highly in demand technical talent at a minimal cost.
With over $250 Billion opportunity for the IT-BPM sector in India, the sector is expected to grow at a compound annual growth rate (CAGR) of 11.70% from 2024 to 2032. This growth is achieved with the integration of advanced technologies and methodologies to meet the growing demands of the business segment.
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