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Position Summary
Machine learning and LLMs’ impact on Higher Education continues to expand each day. Pearson is looking for a data scientist to help harness this growing field to benefit university students and instructors. This individual will participate in the planning, design, development, and implementation of solutions to provide the optimal learning experience for our customers. Our data scientists work on solutions which improve the efficiency of instructors and increase student engagement, comprehension, and personalized learning experiences.
Responsibilities:
Requirements
Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the Colorado, California, Washington State, New York State and New York City laws, the pay range for this position is as follows:
The minimum full-time salary range is between $150,000 - $175,000.
This position is eligible to participate in an annual incentive program, and information on benefits offered is here.
What to expect from Pearson
Did you know Pearson is one of the 10 most innovative education companies of 2022?
At Pearson, we add life to a lifetime of learning so everyone can realize the life they imagine. We do this by creating vibrant and enriching learning experiences designed for real-life impact. We are on a journey to be 100 percent digital to meet the changing needs of the global population by developing a new strategy with ambitious targets. To deliver on our strategic vision, we have five business divisions that are the foundation for the long-term growth of the company: Assessment & Qualifications, Virtual Learning, English Language Learning, Workforce Skills and Higher Education. Alongside these, we have our corporate divisions: Digital & Technology, Finance, Global Corporate Marketing & Communications, Human Resources, Legal, Strategy and Direct to Consumer. Learn more at We are Pearson.
We value the power of an inclusive culture and also a strong sense of belonging. We promote a culture where differences are embraced, opportunities are accessible, consideration and respect are the norm and all individuals are supported in reaching their full potential. Through our talent, we believe that diversity, equity and inclusion make us a more innovative and vibrant place to work. People are at the center, and we are committed to building a workplace where talent can learn, grow and thrive.
Pearson is an Affirmative Action and Equal Opportunity Employer and a member of E-Verify. We want a team that represents a variety of backgrounds, perspectives and skills. The more inclusive we are, the better our work will be. All employment decisions are based on qualifications, merit and business need. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We strive for a workforce that reflects the diversity of our communities.
To learn more about Pearson’s commitment to a diverse and inclusive workforce, navigate to: Diversity, Equity & Inclusion at Pearson.
If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing ppsmhr@pearson.com.
Note that the information you provide will stay confidential and will be stored securely. It will not be seen by those involved in making decisions as part of the recruitment process.
Job: RESEARCH AND DEVELOPMENT
Organization: Higher Education
Schedule: FULL\_TIME
Req ID: 15262
\#location
Full Time
Print & Book Publishing
$106k-131k (estimate)
03/29/2024
04/05/2024
pearson.com
DOYLESTOWN, PA
15,000 - 50,000
1998
Private
DAVID PEARSON
$1B - $3B
Print & Book Publishing
Tower Research Capital is an electronic trading platform that offers financial infrastructure solutions for institutional investors and banks.
The job skills required for Data Scientist include Data Science, Machine Learning, Python, Insight, Algorithms, Computer Science, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist. Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist positions, which can be used as a reference in future career path planning. As a Data Scientist, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist. You can explore the career advancement for a Data Scientist below and select your interested title to get hiring information.
If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.
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Quotes from people on Data Scientist job description and responsibilities
Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.
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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.
Career tips from people on Data Scientist jobs
Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.
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Data scientists lay a solid foundation to help perform all kinds of analysis.
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Business analysts are focused on reporting, just like data analysts.
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A data scientist should understand the assumptions that need to be met for each statistical test.
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Step 3: View the best colleges and universities for Data Scientist.