Data Scientist Salary at Ledelsea BETA

How much does a Ledelsea Data Scientist make?

As of May 2025, the average annual salary for a Data Scientist at Ledelsea is $111,550, which translates to approximately $54 per hour. Salaries for Data Scientist at Ledelsea typically range from $101,840 to $121,160, 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:
ledelsea.com
Size:
50 - 100 Employees
Revenue:
$10M - $50M
Industry:
Business Services

Ledelsea hires the right talent for BA, QA, PM and various other IT positions to build a strong bench. As we have great success, we are adding more to our business offerings. We have evolved from being a pure staffing firm providing functional consultants to a full offering that includes consulting, staffing, 24-hour software development with global delivery capability, advisory and training. We have a great on-shore/ off-shore software delivery model that allows us to provide our clients quality work at a cost-effective price and deliver quality solutions on time. Our team takes advantage of being global and works around the clock to ensure faster delivery. Our vision is to continue to be market leaders in staffing, consulting along with an extra focus to quality and build on every client relationship A visionary brand of passion and drive. Our model was to hire the right talent for BA, QA and PM positions and build a strong bench. As our success grew, so did our business offering. We went from being a pure staffing firm providing functional consultants to a full offering that included consulting, staffing, 24-hour software development with global delivery capability, advisory and training. Our on-shore/ off-shore software delivery model allows us to provide our clients quality work at a cost-effective price and deliver quality solutions on time. Our team takes advantage of being global and works around the clock to ensure faster delivery. We are inclusive, collaborative and believe in hard work. Our business has grown because we build relationships and trust and we practice that everyday at our workplace. It is very common for you to walk in to our office and see our CEO playing pool with one of our consultants and/or having a casual walk and talk meeting with one of our colleagues, however we are very discliplined and goal oriented at the same time. Each individual is accountable for his tasks. Get to know the people behind Ledelsea. Our leadership and creative team.

See similar companies related to Ledelsea

What Skills Does a person Need at Ledelsea?

At Ledelsea, 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.

Related Jobs

BlueCross BlueShield of Minnesota
Saint Paul , MN

About Blue Cross and Blue Shield of Minnesota At Blue Cross and Blue Shield of Minnesota, we are committed to paving the way for everyone to achieve their healthiest life. We are looking for dedicated and motivated individuals who share our vision of transforming healthcare. As a Blue Cross associate, you are joining a culture that is built on values of succeeding together, finding a better way, and doing the right thing. If you are ready to make a difference, join us. The Impact You Will Have This position works across the Enterprise to identify areas of opportunities to create process efficiencies, innovate and provide value using advanced analytics and data science. The position will manage complex data and information to provide meaningful results, which influence strategic decision-making at Blue Cross. Responsibilities include understanding complex business requirements, data management and stewardship for a variety of complex data sources, data analysis and the application of ad


Sponsored
5/15/2025 12:00:00 AM
Cardinal Health
Saint Paul , MN

At Cardinal Health's **Artificial Intelligence Center of Excellence (AI CoE)** , we are pushing the boundaries of healthcare with cutting-edge Data Science and Artificial Intelligence (AI). Our mission is to leverage the power of data to create innovative solutions that improve patient outcomes, streamline operations, and enhance the overall healthcare experience. We are seeking a highly motivated and experienced **Sr. Data Scientist** to join our team as a thought leader and architect of our AI strategy. You will play a critical role in fulfilling our vision through delivery of impactful solutions that drive real-world change. **Why Join Cardinal Health's AI CoE?** + Make a Real Difference: Contribute to cutting-edge solutions that improve patient care, enhance healthcare operations, and drive positive change in the industry. + Work with a Passionate Team: Join a team of highly skilled data scientists who are committed to pushing the boundaries of AI in healthcare. + Grow and Develop:


Sponsored
5/15/2025 12:00:00 AM
Diverse Lynx
Minnetonka , MN

•Full ML Lifecycle Management: Oversee the entire machine learning lifecycle, from data collection and preparation to model development, deployment, and monitoring. •Algorithm Development: Develop and optimize algorithms for various applications, including natural language processing (NLP) and recommendation systems. •Production-Quality Code: Write and optimize code for production environments, ensuring robustness and reliability of ML services. •Develop Predictive Models: Design and implement advanced analytics models to predict trends and outcomes. •Data Analysis: Analyze large datasets to extract actionable insights and solve complex business problems. •Project Management: Lead data science projects from conception to deployment, ensuring timely and effective delivery. •Collaboration: Work closely with cross-functional teams to understand business needs and devise data-driven solutions. •Mentorship: Mentor junior data scientists and provide guidance on best practices and methodologi


Sponsored
5/14/2025 12:00:00 AM
Trane Technologies plc

At Trane Technologies we Challenge Possible. Our brands - including Trane® and Thermo King® - create access to cooling and comfort in buildings and homes, transport and protect food and perishables, connect customers to elevated performance with less environmental impact, dramatically reduce energy demands and carbon emissions, and innovate with a better world in mind. We boldly challenge what's possible for a sustainable world. What's in it for you: Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient environments, it's our responsibility to put the planet first. For us at Trane Technologies, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world. Thrive at work and at home: Benefits


Sponsored
5/13/2025 12:00:00 AM
UnitedHealth Group, Inc.
Minneapolis , MN

Working with the quality data documented in the EPIC EMR Supporting the quality performance to help with the STAR ratings Need knowledge of SQL (and other data analysis tools - Tableau, Power BI), to pull data, analyze, give performance tracking, alg Data Scientist, Solutions, Principal, Scientist, Solution, Remote, Technology, Healthcare


Sponsored
5/13/2025 12:00:00 AM
Deloitte
Minneapolis , MN

Senior Data Scientist, Molecular Modeling and Drug Discovery (Specialist Senior) - SFL Scientific SFL Scientific, a Deloitte Business practice brings together several key capabilities to architect integrated programs that transform our clients' businesses, including Business Strategy, Environmental, Social and Governance Strategy, Technology Strategy & Business Transformation, and AI & Data Strategy. Professionals will serve as trusted advisors to our clients, working with them to make clear data-driven choices about where to play and how to win - ultimately driving growth and enterprise value. We are hiring a Senior Data Scientist with technical and scientific expertise in AI-based drug discovery and molecular modeling to support our team in working with clients, organizing multi-project development, and enabling technical solution delivery. Join a rapidly growing team of professionals working to build a world-class data science practice with a focus on solving complex R&D problems. R


Sponsored
5/13/2025 12:00:00 AM
DeFiner Labs
Minneapolis , MN

Job Description Work closely with engineering and marketing teams to identify and answer important product questions to drive business growth. Create machine learning solutions for a diverse set of business problems. Employ structured approaches to leveraging large data sets to uncover new insights. Collaborate closely with data analysts, data engineers, and business and project stakeholders to incorporate their expertise into data science solutions. Present and defend results to leadership audiences, both technical and non-technical. Our team philosophy encourages knowledge sharing so you will contribute to the research community through technical papers and presentations published both internally and externally. Tech Stack SQL Python Jupyter Notebook (Optional) R script Experience & Qualifications Passion in modern technology and ability to work in a start-up environment. Efficient on Jupyter Notebook. Good mathematical and algorithm background. Strong influencing skills essential. C


Sponsored
5/11/2025 12:00:00 AM
Cardinal Health
Saint Paul , MN

At Cardinal Health's Artificial Intelligence Center of Excellence (AI CoE), we're focused on using technology to improve healthcare. Our commitment to innovation, design, and a product-centric approach helps us create solutions that make a real difference. We're a team of passionate individuals who thrive in a culture of collaboration and continuous learning. We leverage cutting-edge technology and data insights to solve complex problems, forge new business models, and create products that truly impact the lives of our customers. As a Full Stack Data Scientist & Machine Learning Engineer and a key member of our AI CoE, you'll play a pivotal role in driving this transformation. You'll work closely with business stakeholders to understand their needs and translate them into actionable data-driven solutions. You will be responsible for building and maintaining robust machine learning models and GenAI solutions, designing intuitive user interfaces, and ensuring seamless integration with ou


Sponsored
5/11/2025 12:00:00 AM

Check more jobs information at Ledelsea

Job Title Average Ledelsea Salary Hourly Rate
2 Business Analyst $97,219 $47
3 Senior Technical Recruiter $57,889 $28
4 Director, Operations $179,768 $86
5 Technical Recruiter $75,392 $36
6 Manager, Resource $112,128 $54
7 Resource Coordinator $50,919 $24
8 Marketing Strategist $71,818 $35
9 Recruiter $70,881 $34

Hourly Pay at Ledelsea

The average hourly pay at Ledelsea for a Data Scientist is $54 per hour. The location, department, and job description all have an impact on the typical compensation for Ledelsea positions. The pay range and total remuneration for the job title are shown in the table below. Ledelsea may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $111,550 look to you?

FAQ about Salary and Jobs at Ledelsea

1. How much does Ledelsea pay per hour?
The average hourly pay is $54. 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 Ledelsea?
According to the data, the highest approximate salary is about $121,160 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 Ledelsea?
According to the data, the lowest estimated salary is about $101,840 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.