Senior Data Scientist Salary at Okapi BETA

How much does an Okapi Senior Data Scientist make?

As of December 2024, the average annual salary for a Senior Data Scientist at Okapi is $118,636, which translates to approximately $57 per hour. Salaries for Senior Data Scientist at Okapi typically range from $108,631 to $128,368, 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:
okapi.ai
Size:
<25 Employees
Revenue:
<$5M
Industry:
Software & Networking

Okapi provides an Artificial Intelligence SaaS platform that delivers actionable, personalized notifications to every user in the organization according to their roles, while perfectly aligned with the business goals. The Okapi solution enables streamlined efficiency, proactive quality control, improved customer satisfaction, and granular transparency into every area of the organization's operations. The company was founded in 2012 and is headquartered in New York.

See similar companies related to Okapi

What Skills Does a person Need at Okapi?

At Okapi, 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

Best Buy
Boston , MA

Job Description As the Senior Data Scientist, you will work as part of a broader Data Science team in collaboration with Product and Engineering to deliver solutions focused on improving quality and efficiency of care delivery in the context of hospital-level care at home. You will play a crucial role in improving healthcare delivery and patient care by leveraging data science. What you'll do Lead data-driven decision-making by identifying key insights from large and complex datasets, driving strategic business initiatives. Develop and implement end-to-end machine learning pipelines, including data preprocessing, feature engineering, model training, and deployment. Design, develop, and deploy cutting-edge NLP models for tasks such as text classification, sentiment analysis, and named entity recognition. Lead the research and application of advanced NLP techniques, including transformers, BERT, GPT, and other deep learning frameworks. Collaborate with product managers and engineers to t


Sponsored
12/15/2024 12:00:00 AM
Ascent Developer Solutions
Irvine , CA

About Ascent Ascent Developer Solutions is a leading private lending platform, serving real estate developers nationwide in the acquisition, renovation, and construction of residential real estate. Founded by a leadership team with a deep understanding and personal experience in virtually every facet of real estate development, Ascent is uniquely positioned to create custom, innovative lending solutions for a variety of real estate development business strategies. The Role The Data Scientist is a major contributor in driving our company's innovation and data-driven decision-making. By harnessing advanced analytics, automation, machine learning, and big data technologies, this role directly impacts strategic business outcomes, revealing actionable insights and predicting trends that shape the future of our operations. Embedded at the intersection of data and strategy, the Data Scientist empowers the organization to navigate complex challenges, optimize performance, and unlock new growth


Sponsored
12/15/2024 12:00:00 AM
Leidos
Springfield , VA

Description Job Description The Intelligence Group at Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia. The work requires staff to collect, process, and perform data analysis and deliver data driven solutions to quantitative improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics. Duties: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. Clean massage and organized data. Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and t


Sponsored
12/14/2024 12:00:00 AM
Leidos
Springfield , VA

Description Job Description The Intelligence Group at Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia. The work requires staff to collect, process, and perform data analysis and deliver data driven solutions to quantitative improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics. Duties: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. Clean massage and organized data. Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and t


Sponsored
12/14/2024 12:00:00 AM
Leidos
Springfield , VA

Description Job Description The Intelligence Group at Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia. The work requires staff to collect, process, and perform data analysis and deliver data driven solutions to quantitative improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics. Duties: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. Clean massage and organized data. Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and t


Sponsored
12/14/2024 12:00:00 AM
Leidos
Springfield , VA

Description Job Description The Intelligence Group at Leidos has an opening for a Exploitation Specialist/Data Scientist- Senior supporting our customer in Springfield Virginia. The work requires staff to collect, process, and perform data analysis and deliver data driven solutions to quantitative improve the mission area of Maritime Features. Surface, Publications, Events, Dissemination, Source Assessment, and Metrics. Duties: Collect process data and perform data analysis. Integrate centralized protect and maintain data in DBMS. Clean massage and organized data. Perform ad hoc analysis and present results in a clear manner. Communicate complex quantitative analysis in a clear, precise and actionable manner using storytelling/visualization. Create/deploy/maintain cloud applications to support migration of data and production processes Create/deploy/maintain tools to extract features data and meta-data from a variety of sources, including Raster to vector-to-vector text to vector and t


Sponsored
12/14/2024 12:00:00 AM
Walmart

We are seeking an experienced Staff Data Scientist to join our Walmart eCommerce Product Analytics team. As a member of our team, you will be responsible for developing and executing data-driven strategies to improve our eCommerce product offerings and customer experience. What You’ll Do Use statistical modeling and machine learning techniques to analyze large and complex data sets to solve business problems and identify new opportunities Drive experimentation for Walmart eCommerce products. Collaborate with cross-functional teams including engineering, UX design, product management, and business analytics to develop data-driven insights and recommendations Develop and maintain a deep understanding of our customers, products, and business operations to inform data-driven decisions - Manage, mentor, and lead a team of data scientists to ensure high-quality work and growth opportunities for team members Lead multiple projects and domains Preferred Qualification: Masters or equivalent deg


Sponsored
12/14/2024 12:00:00 AM
Leidos
St. Louis , MO

Description The Intelligence Group at Leidos has an opening for a Sr. Data Scientist to support our customer in St. Louis Missouri. This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences. Position Description: Exploitation Specialist/Data Scientist - Senior Staffing Requirement: This work requires staff to perform deep data investigations on complex problems using applied statistics, building algorithms, and collaborating with domain expertise to convey complicated realities to non-technical audiences. Duties Provide the customer with data science management and automation support. Any data management solutions created by the contractor should take into consideration any modernization objectives including the modernized database applications as well as other enterprise activities (e.g., GEOINT Workbench Foundation).


Sponsored
12/13/2024 12:00:00 AM

Check more jobs information at Okapi

Job Title Average Okapi Salary Hourly Rate
2 Data Scientist $118,636 $57
3 Manager, Customer Success $99,844 $48
4 Sales Development Representative $31,260 $15
5 Board Member $99,133 $48
6 Data Engineer $128,798 $62
7 Full-Stack Developer $87,502 $42
8 Chief Executive Officer $843,452 $406

Hourly Pay at Okapi

The average hourly pay at Okapi for a Senior Data Scientist is $57 per hour. The location, department, and job description all have an impact on the typical compensation for Okapi positions. The pay range and total remuneration for the job title are shown in the table below. Okapi may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $118,636 look to you?

FAQ about Salary and Jobs at Okapi

1. How much does Okapi pay per hour?
The average hourly pay is $57. 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 Okapi?
According to the data, the highest approximate salary is about $128,368 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 Okapi?
According to the data, the lowest estimated salary is about $108,631 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.