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Hilton
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Data scientist
eTeam Mc Lean, VA
$121k-149k (estimate)
Contractor | IT Outsourcing & Consulting 1 Week Ago
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eTeam is Hiring a Data scientist Near Mc Lean, VA

  • Over 5 years of experience with a strong experience working with Python and machine learning technologies.
  • Design, develop, and maintain Java-based applications using Spring Framework and microservices architecture.
  • Need to have a deep understanding of how language models like GPT work, including their architecture, training methodology, and capabilities.
  • Need to have good knowledge of Tokenization: Tokenization is the process of breaking down text into smaller units (tokens) for analysis. Should be familiar with different tokenization techniques and their implications for prompt engineering.
  • Need to have good understanding of various Text Generation Techniques, including techniques for controlling the output of language models through prompts, prefixes, and conditioning.
  • Should have expertise in designing effective prompts tailored to specific tasks and objectives, since prompt engineering involves crafting input prompts or instructions to guide the language model's output.
  • Strong Fine-tuning Strategies skills, which involves adapting pre-trained language models to specific tasks or domains by providing task-specific data and fine-tuning parameters. Should know how to effectively fine-tune models for optimal performance.
  • Should be familiar with evaluation metrics commonly used to assess the quality and performance of text generation tasks, such as perplexity, BLEU score, ROUGE score, and human evaluation.
  • Should be familiar with Bias Mitigation, since potential biases present in language models. Should understand techniques for mitigating biases in model outputs, such as debiasing strategies and fairness-aware training.
  • Should have skills in interpreting and analyzing model outputs to understand how prompts influence the generated text and identify patterns or biases in the model's behavior.
  • Troubleshoot and debug issues, providing timely resolution to ensure smooth operation of applications.
Stay up-to-date with the latest industry trends and best practices in Java, Python, and machine learning.

Job Summary

JOB TYPE

Contractor

INDUSTRY

IT Outsourcing & Consulting

SALARY

$121k-149k (estimate)

POST DATE

05/19/2024

EXPIRATION DATE

09/10/2024

WEBSITE

eteaminc.com

HEADQUARTERS

SOUTH PLAINFIELD, NJ

SIZE

500 - 1,000

FOUNDED

1999

TYPE

Private

CEO

BIPIN TAHKUR

REVENUE

$50M - $200M

INDUSTRY

IT Outsourcing & Consulting

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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.

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.

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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.

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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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Data scientists are also expected to have stronger software engineering skills that data analysts.

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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.

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