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Data Science Trainer-Immediate Joiner


Training Basket


Location

Noida | India


Job description

Job Opportunity: Experienced Data Science Trainer

Training Basket is on the lookout for an experienced and passionate Data Science Trainer to join our dynamic team. As a leading provider of IT professional training, we are dedicated to empowering students for a successful and progressive professional journey.

Responsibilities:

Delivering and creating content for online/offline data science training.

Inspire students to overcome challenges in learning new skills.

Continuous learning and sharing of knowledge within the community.

Define and lead our strategy to make data science accessible to all.

Requirements

Key Qualifications:

Minimum 1 to 3 years of experience in delivering data science training.

Proficiency in data visualization, data storytelling, and solving data problems in a business context using Machine Learning.

Extensive expertise in Machine Learning and Deep Learning algorithms.

Proficient in tools like Python.

Strong problem-solving and communication skills.

Demonstrated passion for delivering and curating training content.

What to Expect:

A collaborative team of industry-leading data scientists and thought leaders.

Entrepreneurial environment where each team member takes ownership of their work.

High standards, deep passion for data science, and a commitment to finding innovative solutions.

Job Details:

Job Types: Permanent

Work Type: Work from office

Salary: Commensurate with the last drawn salary

Working Days: 6

Interview Mode: Telephonic - HR Round - Demo - Final Round

Office Timings: 10:00 am to 7:00 pm

Website:

Job Location: Noida

Benefits

Day shift

Morning shift

Supplemental pay types: Performance bonus

Join Training Basket for an exciting career where your expertise in data science will make a real impact!

How to Apply:

If you are a serious and committed candidate seeking a long-term and stable career with a reputable company, apply now. Job hoppers and those likely to leave after receiving an offer need not apply.

Contact Information:

Phone number: 981132922

Email ID: [email protected]


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