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Elevate Your Impact Through Innovation and Learning
Evalueserve is a leading global company that develops innovative and sustainable solutions for a wide range of clients, including more than 30% of the Fortune 500 companies. With a presence in more than 45 countries across five continents, we excel in leveraging state-of-the-art technology, domain-specific AI solutions, and deep subject matter expertise to elevate our clients' strategic decision-making and business impact. Our clients include Amazon, Deutsche Bank, Johnson & Johnson, McDonald's, Microsoft, Morgan Stanley, Nestlé, Novo Nordisk, and Procter & Gamble.
We have 4,500 talented professionals operating across 45 countries, including India, China, Chile, Romania, the US, and Canada. Our global network also extends to emerging markets such as the Middle East and the rest of Asia-Pacific.
Recognized by Great Place to Work in India, Chile, Romania, the US, and the UK, we offer a dynamic, growth-oriented, and open culture that prioritizes flexible work-life balance, diverse and inclusive teams, and equal opportunities for all.
Watch this video to understand what it means to Elevate Your Impact at Evalueserve!
Important responsibilities in this role will include:
Skills we’re looking for:
Want to learn more about our culture and what it’s like to work with us? Write to us at careers@evalueserve.com
Full Time
Business Services
$118k-145k (estimate)
01/25/2024
04/20/2024
25 - 50
2008
SUMEET CHANDER
<$5M
Business Services
The job skills required for Data Scientist (NLP) include Data Science, Machine Learning, Python, Insight, Algorithms, Programming, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (NLP). 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 (NLP). Select any job title you are interested in and start to search job requirements.
The following is the career advancement route for Data Scientist (NLP) positions, which can be used as a reference in future career path planning. As a Data Scientist (NLP), 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 (NLP). You can explore the career advancement for a Data Scientist (NLP) below and select your interested title to get hiring information.
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Step 1: Understand the job description and responsibilities of an Accountant.
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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.
12/22/2021: Dallas, TX
Data scientists are meant to use their technology and social science skills to develop different trends and manage data wisely.
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A data scientist develops software to structure the raw data.
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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.
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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.
02/01/2022: Peoria, IL
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.
01/31/2022: Passaic, NJ
Data scientists lay a solid foundation to help perform all kinds of analysis.
01/31/2022: Champaign, IL
Data scientists are also expected to have stronger software engineering skills that data analysts.
02/19/2022: Springfield, OR
Business analysts are focused on reporting, just like data analysts.
02/04/2022: Jamestown, NY
A data scientist should understand the assumptions that need to be met for each statistical test.
03/04/2022: Hialeah, FL
Step 3: View the best colleges and universities for Data Scientist.