Data Scientist Salary at Lutra BETA

How much does a Lutra Data Scientist make?

As of April 2025, the average annual salary for a Data Scientist at Lutra is $106,095, which translates to approximately $51 per hour. Salaries for Data Scientist at Lutra typically range from $97,133 to $114,780, 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:
lutra.com
Size:
<25 Employees
Revenue:
$5M - $10M
Industry:
Energy & Utilities

Lutra Consulting specialise in providing dedicated training courses for businesses. We discuss each of our Clients' training requirements with them in detail, allowing them to mix and match content from any of our existing courses to form a customised training course structure that best suits them. It's not uncommon for new content to be written to address a Client's specific requirements. A dedicated course ensures you to get exactly what you want. We believe delegates benefit from using their own computers during a course. By the time a delegate completes a course, they have a fully functional open source GIS environment running on their computer. It also becomes easier for delegates to experiment with their own datasets and for tutors to address any specific issues or queries that delegates identify for the open session (something we encourage). The installation of all required software is performed as part of the course. We'll send one of our experienced tutors to your office with all the equipment and materials required for running the course. We train in the UK and Ireland and can train further afield on request.

See similar companies related to Lutra

What Skills Does a person Need at Lutra?

At Lutra, 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 Lutra

Job Title Average Lutra Salary Hourly Rate
2 Accounts Administrator $36,600 $18
3 Manager, Accounting $110,245 $53
4 Manager, Corporate Services $97,919 $47
5 Senior Process Engineer $99,252 $48
6 Business Development Manager $122,175 $59
7 Chief Engineer $256,268 $123
8 Data Analyst $52,146 $25
9 Dock Worker $37,391 $18
10 Manager, Delivery $122,665 $59
11 Senior Data Analyst $92,465 $44
12 Chief Executive Officer $754,290 $363
13 Chief Technology Officer $270,526 $130

Hourly Pay at Lutra

The average hourly pay at Lutra for a Data Scientist is $51 per hour. The location, department, and job description all have an impact on the typical compensation for Lutra positions. The pay range and total remuneration for the job title are shown in the table below. Lutra may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $106,095 look to you?

FAQ about Salary and Jobs at Lutra

1. How much does Lutra pay per hour?
The average hourly pay is $51. 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 Lutra?
According to the data, the highest approximate salary is about $114,780 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 Lutra?
According to the data, the lowest estimated salary is about $97,133 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.