Growing Careers Hiring For Urgent Hiring for Python Developer / Python with PySpark / Data Sci[...]

Growing Careers; United States; Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative company is seeking a skilled Data Scientist/Data Analyst to join their remote team. In this role, you will leverage your expertise in Pyspark and data analysis to extract insights from complex datasets. You will work closely with researchers and stakeholders, utilizing your strong critical thinking and interpersonal skills to communicate findings effectively. This position offers an exciting opportunity to contribute to impactful projects while working in a dynamic and supportive environment. If you are passionate about data and eager to make a difference, this role is perfect for you.

Qualifications

• 2+ years of experience as a Data Scientist/Data Analyst is required.
• Fluency in spoken and written English is essential.

Responsibilities

• Analyze datasets to provide meaningful insights and communicate findings effectively.
• Collaborate with researchers and stakeholders to address key questions.

Skills

Pyspark

Data Analysis

Critical Thinking

Problem Solving

Python

Interpersonal Skills

Business Acumen

Education

Bachelor’s degree in Engineering

Master’s degree in Computer Science

Tools

Snowpark

Job description

Job Description

LOCATION – Remote (PAN INDIA)

Job Requirements:

1. Bachelor’s/Master’s degree in Engineering, Computer Science (or equivalent experience)
2. At least 2+ years of relevant experience as a Data Scientist/Data Analyst
3. 2+ years of Pyspark experience
4. Some Snowpark experience; Python is nice to have
5. Excellent critical thinking and problem-solving abilities
6. Strong business acumen and data analysis abilities to identify the key questions to ask the dataset, provide meaningful answers, and communicate the key findings in an organized manner
7. Outstanding interpersonal abilities to work well with researchers and stakeholders
8. Fluency in spoken as well as written English