Data Science Trainer

1 day ago

Remote, India Xaltius Pte. Ltd. Full time

ABOUT US:
Xaltius is a technology and data-driven company with the expertise to provide innovative software solutions and training to customers around the globe. We work to revamp and refine business potential, driving business excellence. As a maturing, tech-based company at heart, we are driven by the ever-changing dynamics of digitalization to provide personalized software solutions elevating business capabilities. Alongside our counterparts, we offer retail and corporate training in the fields of data analytics, data science, big data, and cloud technologies and have been actively doing that in Singapore since inception.

We are a diverse and value-driven team of knowledgeable and talented individuals, focusing entirely on achieving outstanding customer satisfaction. Being a young and fast-moving team, open-mindedness and flexibility define us. We strongly believe in educating and inspiring interested adult learners through our training sessions and are looking for enthusiastic and futuristic clients to collaborate with on IT projects.

This is a full time role with the need for the following:
**Skills Requirement**:
Areas of expertise are as follow (one or more):

- Advanced Python
- Data Analytics & Machine Learning with Python
- Microsoft PowerBI
- Statistics for Data Science
- Microsoft Excel (Data Cleaning, Functions, PivotTables, Pivotcharts)
- SQL and Database Design
- Tableau
- Generative AI
- Microsoft Azure

**Job Requirements**:

- Preferably 5 years relevant working/ teaching experience in data analytics and in training professionals
- Masters specializing in Data Science is a plus
- Professional Certifications is a plus
- Excellent interpersonal and written communication skills
- Willingness and proactive to assist in troubleshooting and solving issues
- Passion towards learning new skills and knowledge, and imparting knowledge to others.

**Job Types**: Full-time, Permanent

Pay: From ₹50,000.00 per month

**Benefits**:

- Work from home

Schedule:

- Day shift
- Monday to Friday
- Weekend availability

Work Location: Remote

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