Offer summary

Qualifications:

A master's or PhD in computer science, statistics, or a related field is preferred., Strong hands-on experience with large-scale projects., Proficiency in programming languages such as Python and R., Knowledge of machine learning frameworks and big data technologies..

Key responsibilities:

Analyze and interpret complex data to provide actionable insights.

Develop and maintain predictive models to forecast future trends and outcomes.

Communicate findings effectively to both technical and non-technical stakeholders.

Work with cross-functional teams, including software engineers, product managers, and business analysts.

Nir-Yu specializes in helping Small and Medium Enterprises unlock the potential of their business. Our typical customer is worried about not being able to make enough progress on their product(s) or project(s) with their current team; they need additional team-members to deliver work on-time and with the required quality. Tight budgets also make it necessary to lower average wage costs, making it necessary to consider hiring internationally to lower costs. We help these companies by providing a bespoke service that finds and hires remote workers from Mexico, Colombia, Argentina, Chile, Brazil and other countries in LatAm based on the company’s specific job descriptions to work as an extension of their team and perform the required functions. Unlike many other companies, we don’t have a bench of contractors to be hired out, instead each team is hired specifically to meet specific requirements and to work exclusively as a remote employee.

Job description

Responsibilities:

Analyze and interpret complex data to provide actionable insights.
Develop and maintain predictive models to forecast future trends and outcomes.
Communicate findings effectively to both technical and non-technical stakeholders.
Work with cross-functional teams, including software engineers, product managers, and business analysts.
Utilize tools such as Python, R, SQL, TensorFlow, and big data technologies like Hadoop and Spark.
Ensure model reliability through MLOps practices and maintain data privacy standards.

Requirements:

A master's or PhD in computer science, statistics, or a related field is preferred.
Strong hands-on experience with large-scale projects.
Proficiency in programming languages such as Python and R.
Knowledge of machine learning frameworks and big data technologies.
Excellent communication and collaboration skills.

This role demands a deep understanding of both data analytics and business strategy, enabling the AI Data Scientist to shape the future of the organization's data-driven decision-making processes.

Required profile