Data Scientist Salary at Artelus BETA

How much does an Artelus Data Scientist make?

As of March 2025, the average annual salary for a Data Scientist at Artelus is $102,821, which translates to approximately $49 per hour. Salaries for Data Scientist at Artelus typically range from $93,980 to $111,533, reflecting the diverse roles within the company.

It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.

DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.

Website:
artelus.com
Size:
<25 Employees
Revenue:
<$5M
Industry:
Retail & Wholesale

We are working in the Deep Learning space to solve healthcare problems. The company seeks to make products, which would complement the knowledge and assist the clinician in making faster and accurate diagnosisWe are leveraging the cutting edge technologies like Deep Learning and artificial intelligence to increase the capacity of healthcare providers enabling them to offer higher quality care without over burdening the system. Solutions using Deep Learning Algorithms have a higher rate of accuracy and early detection can save lives.Artelus R&D team constantly strives to innovate new ways of developing accurate primary screening solution. Our team is working on developing primary screening tools to detect TB, Breast cancer and Lung cancer. We are also working in diagnostic solutions that would assist the doctors in accurate diagnosis for faster treatment by providing a comprehensive reporting of anomalies detected during primary screening processOur products offer primary screening solutionsfor problems that are inevitably going to strike, and preempt them from getting worse. Identifying people with diseases at early stage can help them avoid disease complications and expensive treatments. In many cases, screening can help people avoid onset of disease altogether. We are taking health care experience beyond the boundaries of hospitals and specialized clinics. This will have the natural outcome of reducing cost, improving health and making the world a happy and healthy place to live in.

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What Skills Does a person Need at Artelus?

At Artelus, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.

  1. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. Data Science: Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is the same concept as data mining and big data: "use the most powerful hardware, the most powerful programming systems, and the most efficient algorithms to solve problems". Data science is a "concept to unify statistics, data analysis, machine learning and their related methods" in order to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, computer science, and information science. Turing award winner Jim Gray imagined data science as a "fourth paradigm" of science (empirical, theoretical, computational and now data-driven) and asserted that "everything about science is changing because of the impact of information technology" and the data deluge. In 2015, the American Statistical Association identified database management, statistics and machine learning, and distributed and parallel systems as the three emerging foundational professional communities.
  3. Machine Learning: Using mathematical models, data, and algorithms to help a computer learn without direct instruction.
  4. Python: Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements.
  5. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.

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Check more jobs information at Artelus

Job Title Average Artelus Salary Hourly Rate
2 Product Manager $132,680 $64
3 Regional Manager $109,746 $53
4 Manager, IP $77,320 $37
5 Medical Director $282,732 $136
6 Chief Executive Officer $731,019 $351

Hourly Pay at Artelus

The average hourly pay at Artelus for a Data Scientist is $49 per hour. The location, department, and job description all have an impact on the typical compensation for Artelus positions. The pay range and total remuneration for the job title are shown in the table below. Artelus may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $102,821 look to you?

FAQ about Salary and Jobs at Artelus

1. How much does Artelus pay per hour?
The average hourly pay is $49. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Artelus?
According to the data, the highest approximate salary is about $111,533 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Artelus?
According to the data, the lowest estimated salary is about $93,980 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.