Data Science Consultant
Published on CazVidat Company
Join Company as a Data Science Consultant in Quito. Remote option available. Apply today for career growth and competitive benefits in data science.
Salary
$1,200 - $2,500 per month
Location
Ecuador
Employment type
Full time
Workplace
Remote
Data Science Consultant
$1,200 - $2,500 per month
Job description
At Company, a leading innovator in data-driven solutions based in Quito, Ecuador, we are expanding our expert team to include a Data Science Consultant. Join us to leverage your skills in data analysis and Artificial Intelligence to drive impactful business decisions and foster innovation. This full-time position offers a unique opportunity for career development, with a focus on continuous learning and advancement within a dynamic, remote-friendly work environment. Responsibilities include analyzing large datasets, developing AI models, collaborating with stakeholders, and mentoring junior team members. Required qualifications include a Bacheloru2019s degree in a related field, proficiency in Python, R, SQL, and strong analytical skills. Benefits include health insurance, paid time off, retirement plan, and flexible remote work options.
Frequently asked questions
Is this position remote or on-site?
This is a remote-eligible position based in Quito, Ecuador, offering flexible remote work options.
What is the salary range for this Data Science Consultant role?
The salary range for this role is USD 1,200-2,500 per month.
What qualifications do I need to apply for this job?
You need a Bachelor's degree in a related field and proficiency in Python, R, SQL, along with strong analytical skills.
What are the main responsibilities of this position?
You will analyze large datasets, develop AI models, collaborate with stakeholders, and mentor junior team members.
Are there any benefits included with this job?
Yes, the benefits include health insurance, paid time off, and a retirement plan.
Is this a full-time position?
Yes, this is a full-time position focused on continuous learning and career advancement.